Abstract
Given limited resources, it is crucial to establish a concise set of performance indicators for evaluating and tracking a hospital’s performance. This study aimed to comprehensively investigate the existing evidence related to the identification, classification, and utilization of key performance indicators (KPIs) in the context of hospitals. This systematic scoping review was conducted following the Joanna Briggs Institute (JBI) methodology and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-SCR) extension. This review encompassed studies focusing on the evaluation of hospitals’ performance, including those that introduced and implemented key indicators. The search, covering published and unpublished studies, spanned from October 25, 2022 (updated in December 2023), using databases, such as MEDLINE (via PubMed), Scopus, Web of Science, Emerald, ProQuest, and Google Scholar. Of 2,316 records screened by titles and abstracts, 70 complete reports were assessed. Among them, 46 studies were found to be irrelevant, and eight were included in the review studies and thus omitted. Finally, 16 studies were included in this research. The 10 most frequently examined KPIs in these studies followed this order: Average length of stay, rate of nosocomial infections, patient satisfaction rate, mortality rate, bed occupancy rate, incidents/errors, accidents/adverse events, waiting time, readmission rate, and mean cost per patient. The average length of stay and the rate of nosocomial infections emerged as the most frequently scrutinized indicators. The findings also showed that there is a higher level of emphasis placed on the dimensions of effectiveness and efficiency.
Keywords: Evaluation, hospital, key performance indicators, scoping review
Introduction
Demands for healthcare quality promotion, coverage, and outcomes are growing.[1] Healthcare decision-makers face challenges in managing resources effectively, aiming to maximize value for money and achieve desired outcomes or impacts.[2,3] That is why performance evaluation of healthcare providers, especially hospitals, is emphasized. It is considered one of the healthcare system’s main components and a significant consumer of health resources.[4,5] Performance evaluation has a key role in hospital management and can remarkably influence a healthcare management system’s operational efficiency.[6,7]
There are several methods for evaluating hospitals’ performance, such as the European Foundation of Quality Management (EFQM), balanced scorecard, and accreditation process. Each uses different criteria and indicators to evaluate performance.[8] Currently, key performance indicators (KPIs) are widely adopted in healthcare organizations for evaluating performance. KPIs serve to monitor, measure, and manage the effectiveness, efficiency, equity, and quality of healthcare systems.[9,10]
Identifying performance indicators that significantly impact the overall system is crucial for achieving high-quality performance.[11,12,13] While numerous indicators have been proposed for use in healthcare performance evaluation frameworks, not all are practical due to resource limitations.[14,15] Therefore, it is essential to narrow down the selection to a restricted number of performance indicators for assessing and monitoring the performance of a hospital.[16,17,18]
Many studies have been conducted to identify KPIs. The average length of stay and bed occupancy rate were most frequently used in hospital performance assessment.[19] Si et al., employing a decision-making trial and evaluation laboratory (DEMATEL) approach, concluded that accidents/adverse events, nosocomial infection, incidents/errors, number of operations/procedures, length of stay, bed occupancy, and financial measures play essential roles in the performance evaluation of healthcare organizations.[17] Some studies have classified KPIs into several dimensions. Khalifa and Khalid conducted a qualitative study and determined that KPIs can be divided into three areas: effectiveness or efficiency of healthcare provision, timeliness and safety, and patient-centeredness.[20] Zaboli et al. and Rasi et al. have classified KPIs into four dimensions: input, process, output, and impact, with various KPIs identified within these domains.[21,22]
After conducting a preliminary search in systematic review databases, such as the Joanna Briggs Institute (JBI) database, Campbell, and others, it appears that, despite numerous studies (including systematic reviews and original studies) aimed at determining KPIs, there is still no consensus on which key indicators are essential and sufficient for evaluating hospital performance. This study aimed to provide a detailed and comprehensive review of all the evidence related to the identification, classification, and application of KPIs in hospitals to identify the most important and frequently used KPIs.
Materials and Methods
This scoping review is underpinned by a conceptual framework that acknowledges the critical need for a concise set of performance indicators to evaluate hospital performance. In response to the increasing demands for healthcare quality and resource constraints, the study navigates through existing evidence to identify, classify, and utilize KPIs within the hospital context.
This systematic scoping review was conducted following the JBI methodology for scoping review[23] and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-SCR).[24,25]
Methodological procedures
The JBI’s suggested steps for scoping reviews were followed, including developing the title, objective, and underlying question; defining the inclusion and exclusion criteria for the studies; choosing data sources; gathering and organizing the results; and presenting the review.[26] We looked over the titles to make sure they fit the findings of the study. Two independent researchers conducted the review’s methods; in the event that they disagreed on which papers should be included or excluded, they convened to reach an agreement. A scoping review is an exploratory procedure that helps prepare the way for a systematic review by identifying and summarizing the scientific information related to new concepts.
Evidence Acquisition
All the techniques in the scoping review are guided by this research question. Thus, it defined the following underlying question using the abbreviation PCC (P = population; C = concept; C = context).
Inclusion criteria
Types of participants (Problems)
This review considered studies focusing on hospitals’ performance evaluation.
Concept
This review considered studies that introduced and implemented key indicators for hospitals’ performance.
Context
This review considered articles that were conducted in hospitals.
Types of sources of evidence
This review considered study designs, including primary research studies, systematic reviews, guidelines, and literature reviews. In addition, editorials, letter to editors, and text and opinions were excluded in this scoping systematic review.
All studies published in English and Persian covered by databases were included but publication dates were not considered in this review.
Search strategy
The search strategy was designed to include both published and unpublished studies. This review employed a three-step approach. At first, a preliminary search was conducted on PubMed, focusing on relevant information in the titles, abstracts, and index terms of articles. Then, a second search was performed using all the identified keywords and index terms on October 25, 2022 (updated in December 2023), across the following bibliographic citation databases: MEDLINE (via PubMed), Scopus, Web of Science, Embase, and Emerald. The search also included unpublished studies and gray literature, which were explored through ProQuest and Google Scholar. Finally, the reference lists of all selected reports and articles were searched for additional studies. Hand-searching and citation tracking also were conducted by researchers [Appendix 1].
Source of evidence screening and selection
After conducting the search, all identified citations were imported into EndNote X21, and any duplicates were removed. Two independent reviewers evaluated the titles and abstracts to determine their relevance to the review’s inclusion criteria. The full texts of potentially eligible studies were obtained and carefully assessed by the same two reviewers against the inclusion criteria. Any differences of opinion between the reviewers were resolved through discussion.
Data extraction
Two independent reviewers utilized the modified standardized JBI data extraction tool to extract data from the studies included in the review. The data extracted included specific details about the authors, publication year, type of study, context (setting), and concept information (KPIs, dimensions, and sub-dimensions). The final key indicators were extracted according to their frequency in the included studies.
Search results
A comprehensive search yielded a total of 3,740 studies from bibliographic databases and 1,105 studies from other sources. The retrieved citations were organized using EndNote X21, leading to the identification and removal of 1,424 duplicate records. Subsequently, a meticulous screening of 2,316 records based on titles and abstracts resulted in the assessment of 70 complete reports (59 from databases and 11 from alternative methods). Among these, 46 studies were deemed irrelevant, and eight were excluded because they had already been included in other review studies. Ultimately, 16 studies were selected for inclusion in this investigation [Figure 1].
Figure 1.

Search results and study selection and inclusion process. *Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). **If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools
These 16 studies comprised a diverse range of research designs, including seven descriptive studies, four mixed-methods studies, two systematic reviews, one umbrella review, one scoping review, one rapid review, and one case study.
Results
Following the screening process, a total of 16 studies that satisfied the inclusion criteria were subjected to a careful review. The key characteristics of these studies are summarized in Table 1 by authors, year, type of study, and objective.
Table 1.
Characteristics of the reviews included
| Author | Year | Type of study | Objective | |||
|---|---|---|---|---|---|---|
| Carini, E | 2020 | Umbrella review | To identify and classify the dimensions of hospital performance indicators | |||
| Rahimi, H | 2014 | Systematic review | To identify the major indicators of hospital performance evaluation, as employed in performance assessment literature | |||
| Zaboli, R | 2016 | Systematic review | To determine key performance indicators in field hospital appraisal | |||
| Rasi, V | 2020 | Scoping review | To identify common evaluation indicators for hospitals | |||
| Jabari Beyrami, H | 2013 | Mixed method | To prioritize public-private partnership models in public hospitals of various countries based on key performance indicators | |||
| Arab, M | 2014 | Mixed method | To investigate the effect of the accreditation system on the key performance indicators of hospitals affiliated with the Tehran University of Medical Sciences | |||
| Pourmohammadi, K | 2018 | Mixed method | To synthesize the evidence relating to hospital performance indicators | |||
| Lin, C. Y | 2022 | Mixed method | To explore the application of the balanced scorecard (BSC) to service performance measurements of medical institutions | |||
| Si, Sh-Li | 2017 | Descriptive | To identify KPIs for holistic hospital management | |||
| Jiang, Sh | 2019 | Descriptive | To determine KPIs for hospital management | |||
| Zhang, L | 2019 | Descriptive | To identify KPIs in healthcare management | |||
| Hedayatipour, M | 2020 | Descriptive | To investigate the changes in the performance indicators of Shafa Academic Hospital in Kerman before and after the implementation of the accreditation plan during 11 years | |||
| Pishnamazzadeh, M | 2020 | Descriptive | To improve hospital performance is modeling the performance from resilience engineering perspective | |||
| Fabiano, G | 2023 | Descriptive | To describe available registry data and examine changes in KPIs | |||
| Armijos, J. C | 2020 | Case study | To design and implement a model of indicators to evaluate the performance of hospitals | |||
| Garrubba, M | 2016 | Rapid review | To identify the most common and current reported domains and indicators of performance in health care |
The extracted key indicators for evaluating hospital performance, including their dimensions and sub-dimensions, are summarized in Table 2.
Table 2.
Extracted key performance indicators based on the studies
| Author | Dimension | Sub-dimension | KPIs | |||
|---|---|---|---|---|---|---|
| Carini, E[32] | Process quality/efficiency | Therapeutic and interventional indicators | ||||
| Screening programs | Biennial hemoccult screening for colorectal/prostate cancer/cervical cancer | |||||
| Structural quality/efficiency | Implementation of guidelines, computer alert system for adverse drug events | |||||
| Antibiotic improvement intervention | Structured antibiotic order forms, academic detailing | |||||
| Clinical effectiveness and safety | Appropriateness of care | Cesarean section delivery | ||||
| Conformity of processes of care | Prophylactic antibiotic use for tracers | |||||
| Outcomes of care and safety processes | Mortality, readmission rate, admission after day surgery for selected tracer procedures, return to a higher level of care for selected tracer, conditions and procedures within 48 h, sentinel event | |||||
| Safety | Staff safety | Percutaneous injuries, staff excessive weekly working time | ||||
| Patient-centeredness | Client orientation, Respect for patients | The average score on overall perception/satisfaction/interpersonal aspect items/information and empowerment items/continuity of care items in patient surveys, last-minute canceled surgery | ||||
| Responsive governance | System integration and continuity | The average score on perceived continuity items in patient surveys | ||||
| Public health orientation | Breastfeeding at discharge | |||||
| Staff orientation | Perspective and recognition of individual needs | Training expenditures | ||||
| Health promotion and safety | Expenditures on health promotion activities | |||||
| Behavioral responses | Absenteeism: short-term absenteeism, absenteeism: long-term absenteeism | |||||
| Efficiency | Appropriateness of services | Day surgery for selected tracer procedures | ||||
| Productivity | Length of stay for selected tracers | |||||
| capacity | Inventory in stock, for pharmaceuticals, intensity of surgical theater use. | |||||
| Effectiveness | Mortality, readmission rate, cancer patients successfully surviving surgery/chemotherapy/transplant. | |||||
| Safety | In-hospital avoidable venous thromboembolism, hospital-acquired infections, medical errors, obstetric trauma, staff injury | |||||
| Patient-centeredness | Patient feedback management, pain control, satisfaction from personnel, explanation of procedures, treatment and discharge information, environment | |||||
| Staff orientation | Staff burnout/absenteeism/working overtime, satisfaction, clearly defined responsibilities in staff, continuous education | |||||
| Efficiency | Length of stay, hospital bed coverage, admission/discharge rate, cost of inpatient services, examinations ordered at the emergency room per patient, laparoscopic/open surgery rate, single-day stay for selected surgeries, cesarian section rate, surgery postponed or canceled | |||||
| Utilization | Patients visiting the emergency room department, admissions for acute conditions, usage of equipment/facilities, usage of laboratory examinations, surgical theater use | |||||
| Timeliness | The time needed for initial clinical examination/admission after arrival at the emergency room/selective surgical treatment, and patients leaving without being examined | |||||
| Resources and capacity | Permanent personnel, detached personnel, temporary personnel, personnel educational level, intra-sector nurses to physician’s ratio, computer application accessibility, use of electronic medical records, hospital webpage, telephone center, surgical theaters, beds per sector/room, short-term stay beds, space for patient baggage, toilet/intra-communication facilities/oxygen facilities/air-conditioning facilities in patients’ rooms, telephone facilities inwards, imaging facilities, ICU and HCU unit (s), hemodialysis facilities, management of hospital waste | |||||
| Rahimi, H[19] | The average length of stay, the bed occupancy rate | |||||
| Zaboli, R[22] | Input | Having a goal and transparent policy, the existence of the hospital coordination team, the state of being, deprived, and the number of staff per bed. | ||||
| Process | Implement the referral system, scenario planning for disaster | |||||
| Output | Number of surgical services, length of stay, the average time spent on patients in emergency resuscitation team, the time of hospital dispatch | |||||
| Outcome | Patient follow-up after discharge, satisfaction, hospital infections | |||||
| Rasi, V[21] | Input | Number of beds, clinical and % administrative staff rate, total number of employees equivalent to full time, cost of resources, day case rates, managers’ salaries rate, gross margin, clothing and appearance of staff, parking for patients’ relatives and acquaintances, prescription rate of diagnostic procedures, staff salary and benefits, debtors, quality of medical equipment, hospital safety, the reputation of the hospital, wellness facilities for patient families and visitors, on-call physicians, patient safety culture, costs of staff training per capita, ratio of total staff costs to total hospital revenue, average overtime per employee, ratio of assets to debt, food quality | ||||
| Process | Length of stay, proportion of patients who have to use expensive medical equipment to total patients, survival rate, combined index of hospitalization adjusted days, number of visits/patients, number of correct diagnoses, number of surgeries, patient admitted ratio, the ratio of perfect nursing documentation, number of hours of nursing courses, appropriate prescriptions rate, rate of tests, average cost of patients/per bed/per day, hand hygiene practices, long stay rate, waiting time, operating expense per bed, duration of unused equipment, number of published articles, occupied day per bed, inpatient bed days per physician, bed occupancy rate, bed turnover rate, time and circulation of visits, the relevance of the tests prescribed to the diagnosed disease, physicians’ tolerance to hear details of patients’ problems, respectfully treat of all staff, number of discharge with personal consent. | |||||
| Output | Mortality rate, nosocomial infections, correct diagnosis rate, readmission rate, percentage of repeat surgical procedures, falling rate, medical errors, percentage of postoperative hematomas and hemorrhages, needle stick, prevalence of smoking among staff, percentage of costs due to medical neglect, error percentage in estimating bills correctly, hospital medical expenses relative to total hospital costs, ratio of private income to total hospital costs, sentinel event rate, total rejected bills, the rate of false tests, the rate of canceled surgeries, number of radiologic test rate, compensation rate | |||||
| Impact | Patient satisfaction, relocation of staff, absence of staff, employee sick leave rates, hospital success in obtaining credentials in quality management, complaint rate, staff satisfaction percentage, complaint patient percentage | |||||
| Jabari Beyrami, H[37] | Quality-effectiveness | Rate of hospital infections, hospital incidents breakout rate, mortality, satisfaction | ||||
| Accessibility-equity | Average inpatient/outpatient waiting time | |||||
| Efficiency-financial | The average length of stay, bed occupation ratio, private income to total cost ratio | |||||
| Arab, M[36] | Average length of stay, cesarean percent, turnover rate, satisfaction, bed occupancy rate, self-ordered discharge from the emergency room, and net death rate | |||||
| Pourmohammadi, K[34] | Efficiency/utilization | Number of human resources | Number of clinical personnel, full-time equivalent interns/residents, administrative personnel, non-clinical personnel, full-time equivalent/adjusted admissions | |||
| Number of hospital beds | Percentage of specialized beds and other beds, the ratio of active beds to fixed beds | |||||
| Cost | Cost of medical/operating supplies, wage, and salary payments to personnel engaged in patient/non-patient care, capital costs, adjusted depreciation charges for fixed and movable equipment, cost/adjusted admission, cost per inpatient | |||||
| Operation room (OR) utilization | The number of: OR cases booked, OR cases performed, OR cases canceled, percentage of OR cancelations, surgical operations to surgery beds, and day stay surgery rate. | |||||
| Emergency room (ER) utilization | Total number of ER visits, ER treatment time | |||||
| ICU utilization | Average ICU bed occupancy rate, average ICU length of stay | |||||
| Technology utilization | Use of electronic medical records, rate of the utilization of existing technology, number of high-tech services, number of medical supplies per bed, number of other operating supplies per bed, clinical integration, integrated database | |||||
| Radiology utilization | Total radiological procedures | |||||
| Laboratory utilization | Total laboratory investigations | |||||
| Other: | The bed occupancy rate, average length of stay, bed turnover interval, number of inpatients/outpatients, average number of drugs per encounter | |||||
| Financial | Profit | Total marginal profit, medical benefit-cost-per full-time equivalent | ||||
| Revenue | Operating revenue per adjusted patient days, non-operating revenue, current ratio, income to total revenues, revenue per physician full-time equivalent | |||||
| Cash flow | Cash to total debt | |||||
| Cost | Operating costs per adjusted patient days, unit cost performance, cost of outpatient visits, cost of salaries and overtime, emergency services expenses, personnel expenses, goods and services expenses, medicine expenses, average cost per day of hospitalization, pharmacy cost | |||||
| Investment | Return on investment | |||||
| Asset | Total asset turnover, tangible assets, return on assets | |||||
| Debt | Total debt/total assets, long-term debt to capitalization, debt ratio | |||||
| Liquidity | The current ratio, days revenue in net accounts receivable, days cash on hand, average payment period, replacement viability, acid test ratio, quick ratio, and budget flow compared to the approved budget | |||||
| Effectiveness | Accessibility (equity) | Waiting time, patients leaving without being examined, outpatient appointment waiting lists, satisfaction, ease of access, expected results achieved, coordination of care, involvement of family and friends, respect for values and preferences, amenities, comprehensiveness, continuity | ||||
| Safety | Rate of nosocomial infections, rate of accidents, rate of complications, failure to rescue, incidents/near misses, accidents/adverse events, hospital-acquired infections, medical errors, staff injury, ventilator pneumonia, technical difficulty with the procedure, patient falls, wrong surgery rate, hand hygiene compliance rate, postoperative respiratory failure, postoperative sepsis, prevalence of sentinel events | |||||
| Quality | Readmissions, mortality, cancer patients successfully surviving, quality certificates, appropriateness of care, surgery postponed or canceled, indicators of quality improvement programs, management of hospital waste, number of guidelines developed/using, staff training hours, a patient safety committee, a system for reviewing patient deaths, policies for handling dangerous chemicals, a credentialing committee, quality of life used to assess organizational performance, technical quality of care, appearance of facilities | |||||
| Responsiveness | Patient feedback management, pain control, staff burnout/absenteeism/working overtime/satisfaction, clearly defend responsibilities, average payment, diversity, working hours, frequency of night duty/shift, occupied position, average experience, staff safety/injuries, paid leave, number of staff per bed, continuous education, training budget rate, and social responsibility indicators | |||||
| Lin, C. Y[53] | Complete and comfortable equipment, competitiveness of the medical profession, continuity of patient-to-hospital treatment, classification of medical profession according to customers (VIP system), complete medical service, complete salary, remuneration and policy, medical incomes of institutions | |||||
| Si, Sh-Li[17] | Accidents/adverse events, nosocomial infection, incidents/errors, number of operations/procedures, length of stay, bed occupancy, financial measures | |||||
| Jiang, Sh[11] | Incidents/errors, accidents/adverse events, nosocomial infection, nursing technology pass rate, length of stay | |||||
| Zhang, L[35] | Incidents/errors, accidents/adverse events, nosocomial infection, length of stay | |||||
| Hedayatipour, M[39] | The average length of stay, bed turnover interval, bed occupancy rate, net mortality rate, outpatient and hospitalization satisfaction | |||||
| Pishnamazzadeh, M[33] | Patient satisfaction, waiting time, job satisfaction, burnout | |||||
| Fabiano, G[48] | Percent of total and early surgeries, length of stay, pre-surgical stay, pressure ulcers, mortality | |||||
| Armijos, J. C[31] | Time | Wait time | Average waiting time for: admission, triage, a medical procedure, per nursing procedure, outpatient clinic, internal and external transfers, medical discharge, first medical attention, diagnostic support activities, results of support activities, | |||
| Processing time | Average time of: admission, resuscitation, triage, the medical procedure, diagnosis support activities, patient cycle, medical attention | |||||
| Quality | Mistakes | Percentage of hospital infections/pending surgeries/medication errors/adverse events, mortality rate, patient’s falls, readmission rate | ||||
| Compliance with standards | Existence of clinical protocols, the compliance rate of triage time standards, operation within 48 hours | |||||
| Satisfaction | People served outside the box, existence of information protocols for patients and families, rate of claims, patient/professional satisfaction rate, existence of training plans/procedures information to patients | |||||
| Efficiency | Productivity performance | Hourly productivity, operating room performance, average stay, percentage of outpatient surgeries, bed performance, percentage of counter-references, percentage of cesarean sections for deliveries attended/use of elective surgical wards. | ||||
| Compliance with standards | Existence of a patient classification or selection system, correct patient’s identification, number of patient registration per shift | |||||
| Capacity | Offer | The capacity of hospital beds, nurse/doctor relationship, number of beds per doctor, relationship between nurses and non-census beds, nurses/census beds ratio, absences of professionals, daily average number of beds available, rate of bed rotation | ||||
| Demand | Average days of stay, average daily census, patient rate, occupation rate, bed replacement interval | |||||
| Economic | Costs | Percentage of missed appointments, average cost per patient/service | ||||
| financial | Budget execution, execution percentage, budgetary spending | |||||
| Garrubba, M[38] | Safety and effectiveness | Mortality, unplanned hospital readmission, hospital-acquired infections, the safety of maternity services, and cancer | ||||
| Equity and access | Emergency department wait length, specialist care wait length | |||||
| Efficiency/value for money | Cost and length of stay | |||||
| Patient-centered/experience | Maternity and inpatient personal needs |
Finally, using the content analysis method, 10 indicators with the highest frequency in the literature were identified as the most common key indicators for evaluating hospitals’ performance. Figure 2 indicates the frequency of each KPI within the identified dimensions and sub-dimensions. Notably, the rate of nosocomial infections and the average length of stay demonstrated higher frequencies across the reviewed literature.
Figure 2.

Ten most frequently mentioned KPIs across the reviewed literature
Discussion
This study presented a detailed and comprehensive review of all evidence pertaining to the identification, classification, and application of KPIs. In this context, we have outlined a concise framework of KPIs designed for the purpose of facilitating efficient performance evaluation in hospital settings, particularly in light of constraints imposed by limited resources. Many studies have been conducted to identify KPIs using various models. Nikjoo et al. conducted a comprehensive mixed-method study to identify KPIs for hospitals, focusing on quality in three domains: quality of care, service delivery, and health system determinants. The study aimed to enhance the understanding of hospital performance evaluation indicators, contributing to assessing and improving overall performance in public hospitals.[27] Similarly, Heenan synthesized international approaches to indicator selection in health care, aiming to create a standardized process framework. This systematic approach enhances the understanding of indicator selection processes and their impact on healthcare quality, providing a relevant and applicable framework for real-world settings within healthcare systems.[28] Imani’s research contributed to hospital efficiency studies, proposing a conceptual framework for selecting variables to measure efficiency, particularly in Iranian public hospitals. This study aimed to enhance understanding by incorporating a broader set of variables in the context of Iran.[29] Overall, these studies collectively contribute to the development of frameworks for assessing and enhancing hospital performance. This review focuses on exploring and identifying KPIs for hospital evaluation, emphasizing the importance of establishing a concise set of indicators for effective performance evaluation, especially considering limited resources.
The findings showed that some studies had categorized indicators in terms of their central theme and nature and others in terms of their role in system performance (input, process, output, and impact). However, despite the variation in the type of classification of these indicators, common indicators form the core of all the reviewed models. The literature analysis reveals a significant focus on the dimensions of effectiveness and efficiency, based on the extracted data.
Effectiveness
Effectiveness refers to the ability in doing “the right” things. It measures the extent to which planned outcomes, goals, or objectives are achieved in ordinary circumstances through an activity, intervention, or initiative intended to produce the intended effect.[30] So, the effectiveness indicators measure the ability of health services to achieve the expected outcomes and the desired aims and objectives.
This study indicated that in 13 of 16 studies, the effectiveness indicators were mainly applied for hospital performance evaluation.[11,17,21,22,31,32,33,34,35,36,37,38,39] Based on the findings, several efficiency indicators were used in hospitals as KPIs; however, three of them were utilized more frequently than others. These indicators were length of stay, bed occupancy rate, and mean cost per patient, and they were categorized under the two sub-dimensions of productivity and financial performance. They include the rate of nosocomial infections, incidents/errors, accidents/adverse events, patient satisfaction rate, waiting time, readmissions rate, and mortality rate. These KPIs have been explored in various studies related to hospital performance evaluation.[17,34,40]
Nosocomial infections are defined by the World Health Organization (WHO) as a kind of infection that occurs in patients during the care process in a hospital or other healthcare settings, which was not present or incubating at the time of admission.[41] Nosocomial infection in the hospital includes surgical wound infection, infection of methicillin-resistant Staphylococcus aureus (MRSA), and incision-wound infection.[17] The results of this study demonstrated that the rate of nosocomial infections has been considered a hospital patient safety measure and plays a key role in evaluating hospital performance in terms of effectiveness.[11,17,21,22,31,32,34,35,37,38]
Incidents/Errors are defined as “action (s) by healthcare provider (s), omissions, decisions and systems that cause harm to or lead directly or indirectly to chronic disability, or impaired quality of life or death of patients as a result of medical treatment.”[42] Incidents/errors occur during the healthcare treatment process, including medication errors, errors in diagnosis and treatment, and blood transfusion errors.[17] Based on the results of this study, incidents/errors as another important indicator of patient safety have been repeatedly used in various studies for evaluating hospital performance.[11,17,21,31,32,34,35,37]
Accident/Adverse event is a harmful and negative outcome that happens when a patient has been provided with medical care.[17,35,43] Accidents/adverse events are another indicator of measuring patient safety in the field of hospital effectiveness, which have been mentioned in various studies as having a pivotal role in hospital’s performance evaluation.[11,17,31,32,34,35]
Patient satisfaction rate reflects the degree of satisfaction experienced by patients regarding the healthcare services they receive from their healthcare provider. Healthcare service satisfaction includes physicians, waiting time, and treatment.[17,44] Patient satisfaction is one of the leading indicators of responsiveness, which has been emphasized in several studies to measure hospitals’ effectiveness.[31,32,33,36,37,39]
Waiting time is recognized as a crucial indicator for measuring accessibility in healthcare settings, particularly clinical visits in hospitals.[45] Based on the findings, waiting time has been indicated in various studies as a KPI for hospitals.[21,31,33,34,37]
Readmission is defined as “a hospital admission that occurs within a specified time frame after discharge from the first admission.”[46] The readmission rate is one of the most important quality indicators and is used as one of the leading indicators for measuring hospital effectiveness. The findings of this study showed that several studies had used this indicator to measure hospital performance.[21,31,32,34,38]
Mortality rate (the proportion of patients who die during admission or shortly after that in hospital) can reflect the safety, effectiveness, and, in emergency medicine, timeliness of care as an essential and common indicator of quality.[47] Based on the results, some studies consider mortality as one of the essential quality indicators for evaluating hospital performance.[21,31,32,36,37,38,39,48]
Efficiency
Efficiency is one of the most critical challenges facing health system managers worldwide. Limited resources and, however, spending a large part of the expenditures of the health system in hospitals have made efficiency one of the essential factors in hospital performance.[34]
Efficiency indicators evaluate the effectiveness of resource utilization in generating outputs. These indicators can also assess the efficiency of work processes, including administrative tasks associated with operating specific programs or services. Such assessments prove beneficial for program managers and aid in program performance evaluation and determining funding needs. Efficiency as one of the six main dimensions of hospital performance evaluation has been emphasized by WHO.[49]
This study showed that 14 of 16 studies identified efficiency indicators in hospitals’ performance evaluation.[11,17,19,21,22,31,32,34,35,36,37,38,39,50] Also, the most critical indicators (KPIs) required to evaluate the hospital’s performance regarding efficiency have been identified.
Based on the findings, several efficiency indicators were used in hospitals as KPIs, but three have been used frequently compared to other indicators. These three indicators were categorized under two sub-dimensions of productivity, and financial while consisting of length of stay, bed occupancy rate, and mean cost per patient. Craig et al. have emphasized the significance of the average length of stay as a crucial KPI for hospital evaluation.[51] In parallel, Imani et al.’s research has underscored the importance of efficiency in hospital performance, aligning with our focus on key indicators, such as bed occupancy rate and mean cost per patient.[29]
Length of stay is “the time the patient passes in hospital from the entrance to the exit.”[35] The length of stay differs for each patient and depends on the rapidity of diagnosis, treatment process, availability, and appropriateness of alternative care after discharge. This indicator has been introduced in numerous studies as one of the most important key indicators in evaluating the performance of the hospital in terms of productivity and, in a broader view, terms of efficiency.[11,17,19,20,32,34,36,37,38,39,48,49]
The bed occupancy rate is defined as the ratio between the number of patients-day and the number of beds-day in a given period. It indicates the efficient use of hospital beds in a specified period.[50] Bed occupancy rate is helpful to indicate the capability of a hospital in planning and operational management of hospital beds and evaluating the ability of the hospital to provide appropriate care for patients.[20] Based on the results of this study, the bed occupancy rate, another important indicator of productivity, has been repeatedly used in various studies for evaluating hospital performance.[17,19,21,31,34,36,37,39]
Mean cost per patient is defined as “the total expenditure (expenditure for raw and auxiliary materials and consumables etc., excluding payroll) of a hospital, divided by the number of hospitalized patients.”[52] This indicator has been proposed as one of the critical financial indicators for measuring the efficiency of the hospital in various studies, which is essential to evaluate hospital performance.[21,31,32,34,38,52]
Limitations
Despite the significance of the findings covered here, it should be evaluated with primary limitations in mind. First, contrary to what the scoping review guidelines implied, the studies’ degree of evidence was not measured. Another limitation of this review was the unavailability of some articles due to publisher or journal rules.
Conclusions
With an exploratory approach, this scoping review was conducted to identify key indicators for hospital performance evaluation, revealing a predominant focus on effectiveness and efficiency dimensions. Effectiveness indicators in the field of safety, responsiveness, quality, and accessibility are very important in evaluating the performance of hospitals with specific indicators, such as rate of nosocomial infections, incidents/errors, accidents/adverse events, patient satisfaction rate, readmission rate mortality rate, and waiting time standing out. Efficiency indicators, addressing resource utilization and financial aspects, included length of stay, bed occupancy rate, and mean cost per patient. The synthesis emphasizes the significance of a balanced evaluation considering both effectiveness and efficiency, providing a comprehensive framework for continuous improvement in hospital performance and the delivery of high-quality healthcare services. Future research and applications can build upon these findings to adapt and refine indicators in response to the evolving landscape of healthcare systems.
Conflicts of interest
There are no conflicts of interest.
Appendix 1: Search Strategy (Last updated in December 2023)
| PubMed | ||||
|---|---|---|---|---|
| Search No. | Query | Results | ||
| 1 | “key”[Title/Abstract] | 1,118,799 | ||
| 2 | Hospital-related terms [Title/Abstract or MeSH Terms] | 1,859,219 | ||
| 3 | #1 AND #2 AND (humans[Filter]) | 40,374 | ||
| 4 | Performance-related terms [Title/Abstract] | 4,321,027 | ||
| 5 | #4 AND #3 | 9,055 | ||
| 6 | “indicator” OR “indicators” [Title/Abstract] | 377,608 | ||
| 7 | #5 AND #6 | 849 | ||
|
| ||||
| Scopus | ||||
|
| ||||
| Search No. | Query | Results | ||
|
| ||||
| 1 | TITLE-ABS-KEY (hospital*) AND TITLE-ABS-KEY (key) AND TITLE-ABS-KEY (perform*) AND TITLE-ABS-KEY (indicator*) | 2,009 | ||
| 2 | TITLE-ABS (hospital*) AND TITLE-ABS (key) AND TITLE-ABS (perform*) AND TITLE-ABS (indicator*) | 1,465 | ||
| 3 | Filtered by DOCTYPE (ar, cp, re, cr) AND EXACTKEYWORD (Article, Hospitals) | 837 | ||
|
| ||||
| Web of Science | ||||
|
| ||||
| Search No. | Query | Results | ||
|
| ||||
| 1 | (“indicators” OR “indicator”) (Title/Abstract) | 626,338 | ||
| 2 | “perform” OR related terms (Title/Abstract) | 7,621,061 | ||
| 3 | “hospitalisation” OR “hospital” etc., (Title/Abstract) | 1,396,804 | ||
| 4 | Key terms in Title/Abstract | 1,911,588 | ||
| 5 | #1 AND #2 AND #3 AND #4 | 975 | ||
|
| ||||
| Embase | ||||
|
| ||||
| Search No. | Query | Results | ||
|
| ||||
| 1 | ‘hospital’/exp OR ‘hospital*’:ab, kw, ti | 3,364,018 | ||
| 2 | key: ab, ti, kw | 1,410,253 | ||
| 3 | ‘indicator’/exp OR indicator*:ab, kw, ti | 546,042 | ||
| 4 | #2 AND #3 | 31,617 | ||
| 5 | #1 AND #4 | 5,075 | ||
| 6 | ‘key performance indicator’:ab, kw, ti | 565 | ||
Funding Statement
This work was part of a Ph.D. thesis funded and supported by Vice-Chancellor for Research and Technology, Tabriz University of Medical Sciences (Grant Award Number: 68604).
References
- 1.Croke K, Thapa GK, Aryal A, Pokhrel S, Kruk ME. The politics of health system quality: How to ignite demand. BMJ. 2023;383:e076792. doi: 10.1136/bmj-2023-076792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Rozner Steve. Bethesda, MD: Health Finance and Governance Project, Abt Associates Inc; Dec, 2013. Developing and using key performance indicators a toolkit for health sector managers. Available from: https://www.hfgproject.org/wp-content/uploads/2014/10/03-Developing-Key-Performance-Indicators.pdf . [Google Scholar]
- 3.Teisberg E, Wallace S, O’Hara S. Defining and implementing value-based health care: A Strategic Framework. Acad Med. 2020;95:682–5. doi: 10.1097/ACM.0000000000003122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Than TM, Saw YM, Khaing M, Win EM, Cho SM, Kariya T, et al. Unit cost of healthcare services at 200-bed public hospitals in Myanmar: What plays an important role of hospital budgeting? BMC Health Serv Res. 2017;17:669. doi: 10.1186/s12913-017-2619-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.OECD, Eurostat, WHO . OECD Publishing; 2011. A system of health accounts. DOI: http://dx.doi.org/10.1787. Available from: https://books.google.com/books?hl=en&lr=&id=0UfkF5-ss0QC&oi=fnd&pg=PA3&dq=OECD,+Eurostat,+WHO+(2011+),+A+system+of+health+accounts&ots=AK0BMtgYLD&sig=PPrrY3qNVQhB43phNDNUvQFgPKA#v=onepage&q&f=false . [Google Scholar]
- 6.Dinçer H, Yüksel S, Martínez L. Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods. Applied Soft Computing. 2019;79:186–202. [Google Scholar]
- 7.Gu X, Itoh K. Performance indicators: Healthcare professionals’ views. Int J Health Care Qual Assur. 2016;29:801–15. doi: 10.1108/IJHCQA-12-2015-0142. [DOI] [PubMed] [Google Scholar]
- 8.Malekzadeh R, Mahmoodi G, Abedi G. A comparison of three models of hospital performance assessment using IPOCC approach. Ethiop J Health Sci. 2019;29:543–50. doi: 10.4314/ejhs.v29i5.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Arah OA, Klazinga NS, Delnoij DM, ten Asbroek AH, Custers T. Conceptual frameworks for health systems performance: A quest for effectiveness, quality, and improvement. Int J Qual Health Care. 2003;15:377–98. doi: 10.1093/intqhc/mzg049. [DOI] [PubMed] [Google Scholar]
- 10.Amer F, Hammoud S, Khatatbeh H, Lohner S, Boncz I, Endrei D. A systematic review: The dimensions to evaluate health care performance and an implication during the pandemic. BMC Health Serv Res. 2022;22:621. doi: 10.1186/s12913-022-07863-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jiang S, Shi H, Lin W, Liu H-C. A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management. Appl Soft Comput. 2020;86:105900. [Google Scholar]
- 12.Kumar A, Dixit G. An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach. Sustain Prod Consum. 2018;14:36–52. [Google Scholar]
- 13.Ding X-F, Liu H-C. A 2-dimension uncertain linguistic DEMATEL method for identifying critical success factors in emergency management. Applied Soft Computing. 2018;71:386–95. [Google Scholar]
- 14.Liu HC. A theoretical framework for holistic hospital management in the Japanese healthcare context. Health Policy. 2013;113:160–9. doi: 10.1016/j.healthpol.2013.08.009. [DOI] [PubMed] [Google Scholar]
- 15.Braithwaite J, Hibbert P, Blakely B, Plumb J, Hannaford N, Long JC, et al. Health system frameworks and performance indicators in eight countries: A comparative international analysis. SAGE Open Med. 2017;5:2050312116686516. doi: 10.1177/2050312116686516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gu X, Itoh K. Performance measures for a dialysis setting. J Ren Care. 2018;44:52–9. doi: 10.1111/jorc.12229. [DOI] [PubMed] [Google Scholar]
- 17.Si SL, You XY, Liu HC, Huang J. Identifying key performance indicators for holistic hospital management with a modified dematel approach. Int J Environ Res Public Health. 2017;14:934. doi: 10.3390/ijerph14080934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Núñez A, Neriz L, Mateo R, Ramis F, Ramaprasad A. Emergency departments key performance indicators: A unified framework and its practice. Int J Health Plann Manage. 2018;33:915–33. doi: 10.1002/hpm.2548. [DOI] [PubMed] [Google Scholar]
- 19.Rahimi H, Khammar-nia M, Kavosi Z, Eslahi M. Indicators of hospital performance evaluation: A systematic review. Int J Hosp Res. 2014;3:199–208. [Google Scholar]
- 20.Khalifa M, Khalid P. Developing strategic health care key performance indicators: A case study on a tertiary care hospital. Procedia Comput Sci. 2015;63:459–66. [Google Scholar]
- 21.Rasi V, Delgoshaee B, Maleki M. Identification of common indicators of hospital performance evaluation models: A scoping review. J Educ Health Promot. 2020;9:63. doi: 10.4103/jehp.jehp_563_19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zaboli R, Toufighi S, Raiess Zadeh M, Ghaed Amini R, Azizian F. Key performance indicators in field hospital appraisal: A systematic review. Trauma Mon. 2018;23:9. [Google Scholar]
- 23.Peters MDJ, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth. 2020;18:2119–26. doi: 10.11124/JBIES-20-00167. [DOI] [PubMed] [Google Scholar]
- 24.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018;169:467–73. doi: 10.7326/M18-0850. [DOI] [PubMed] [Google Scholar]
- 26.The Joanna Briggs Institute . The Joanna Briggs Institute; 2015. Joanna briggs institute reviewers’ manual: Methodology for JBI Scoping Reviews. Available from: https://reben.com.br/revista/wp-content/uploads/2020/10/Scoping.pdf . [Google Scholar]
- 27.Gholamzadeh NR, Jabbari BH, Jannati A, Asghari JM. Selecting hospital’s key performance indicators, Using Analytic Hierarchy Process Technique. SSU. 2013;2:30–8. Available from: https://reben.com.br/revista/wp-content/uploads/2020/10/Scoping.pdf . [Google Scholar]
- 28.Heenan MA, Randall GE, Evans JM. Selecting performance indicators and targets in health care: An international scoping review and standardized process framework. Risk Manag Healthc Policy. 2022;15:747–64. doi: 10.2147/RMHP.S357561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Imani A, Alibabayee R, Golestani M, Dalal K. Key indicators affecting hospital efficiency: A systematic review. Front Public Health. 2022;10:830102. doi: 10.3389/fpubh.2022.830102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Burches E, Marta B. Efficacy, Effectiveness and efficiency in the health care: The need for an agreement to clarify its meaning. Int Arch Public Health Community Med. 2020;4:1–3. [Google Scholar]
- 31.Armijos JC, Núñez Mondaca A. [Assessing the performance of public hospitals using key indicators: A case study in Chile and Ecuador] Rev Med Chil. 2020;148:626–43. doi: 10.4067/S0034-98872020000500626. [DOI] [PubMed] [Google Scholar]
- 32.Carini E, Gabutti I, Frisicale EM, Di Pilla A, Pezzullo AM, de Waure C, et al. Assessing hospital performance indicators. What dimensions? Evidence from an umbrella review. BMC Health Serv Res. 2020;20:1038. doi: 10.1186/s12913-020-05879-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Pishnamazzadeh M, Sepehri MM, Ostadi B. An assessment model for hospital resilience according to the simultaneous consideration of key performance indicators: A system dynamics approach. Perioperative Care and Operating Room Management. 2020;20:100118. [Google Scholar]
- 34.Pourmohammadi K, Hatam N, Shojaei P, Bastani P. A comprehensive map of the evidence on the performance evaluation indicators of public hospitals: A scoping study and best fit framework synthesis. Cost Eff Resour Alloc. 2018;16:64. doi: 10.1186/s12962-018-0166-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang L, Liu R, Jiang S, Luo G, Liu HC. Identification of key performance indicators for hospital management using an extended hesitant linguistic DEMATEL approach. Healthcare (Basel) 2019;8:7. doi: 10.3390/healthcare8010007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Arab M, Mousavi SM, Arian khesal A, akbarisari A. The effect of accreditation system on the key performance indicators of hospitals affiliated to tehran university of medical sciences: An Interrupted Time Series Analysis in 2012-2014. Hospital. 2017;16:17–26. [Google Scholar]
- 37.Jabari Beyrami H, Gholamzadeh Nikjoo R, Jannati A, Asghari Jaafarabadi M, Dadgar E. Prioritization of public hospitals’ public–private partnership models based on key performance indicators. Hakim Research Journal. 2014;16 https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Jabari+Beyrami+H%2C+Gholamzadeh+Nikjoo+R%2C+Jannati+A%2C+Asghari+Jaafarabadi+M%2C+Dadgar+E.+Prioritization+of+public+hospitals%27+public%E2%80%93private+partnership+models+based+on+key+performance+indicators.&btnG= [Google Scholar]
- 38.Garrubba M, Joseph C, Melder A, G Y. Key performance indicators for hospital reporting. In: Centre for clinical effectiveness MH, editor. Melbourne, Australia: 2016. Available from: https://monashhealth.org/wp-content/uploads/2019/03/Indicators-of-Hospital-Performance-FINAL-Aug-2016_sop.pdf . [Google Scholar]
- 39.Hedayatipour M, Etemadi S, Khosravi S. Changes in key performance indicators of Shafa academic hospital in kerman after the implementation of the accreditation program during the years of 2007 to 2018. Journal of Jiroft University of Medical Sciences. 2022;8:822–31. [Google Scholar]
- 40.Bhati D, Deogade MS, Kanyal D. Improving patient outcomes through effective hospital administration: A comprehensive review. Cureus. 2023;15:e47731. doi: 10.7759/cureus.47731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Landelle C, Pittet D. Oxford textbook of critical care. In: Webb A, Angus D, Finfer S, Gattinoni L, Singer M, editors. Oxford textbook of critical care. 2 ed: Oxford University Press; 2016. pp. 1–9. Available from: https://academic.oup.com/book/35534 . [Google Scholar]
- 42.Cuschieri Medical errors, incidents, accidents and violations. Minim Invasive Ther Allied Technol. 2003;12:111–20. doi: 10.1080/13645700310007698. [DOI] [PubMed] [Google Scholar]
- 43.Voskanyan YV. [Safety of patients and adverse events related thereto in medicine] Angiol Sosud Khir. 2018;24:11–7. [PubMed] [Google Scholar]
- 44.Manzoor F, Wei L, Hussain A, Asif M, Shah SIA. Patient satisfaction with health care services; An application of physician’s behavior as a moderator. Int J Environ Res Public Health. 2019;16:3318. doi: 10.3390/ijerph16183318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Amina S, Barrati A, Sadeghifar J, Sharifi M, Toulideh Z, Gorji HA, et al. Measuring and analyzing waiting time indicators of patients’ admitted in emergency department: A Case Study. Glob J Health Sci. 2015;8:143–9. doi: 10.5539/gjhs.v8n1p143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lin Guo, Chung ES, Casey DE, Jr, Snow R. Redefining hospital readmissions to better reflect clinical course of care for heart failure patients. Am J Med Qual. 2007;22:98–102. doi: 10.1177/1062860606298245. [DOI] [PubMed] [Google Scholar]
- 47.Goodacre S, Campbell M, Carter A. What do hospital mortality rates tell us about quality of care? Emerg Med J. 2015;32:244–7. doi: 10.1136/emermed-2013-203022. [DOI] [PubMed] [Google Scholar]
- 48.Fabiano G, Maronga C, Hernández-Sánchez L, Sáez López M, Pinedo-Villanueva R. Springer; 2023. Progression of key performance indicators for hospitals joining the Spanish national hip fracture registry; pp. S322–S. [Google Scholar]
- 49.Veillard J, Champagne F, Klazinga N, Kazandjian V, Arah OA, Guisset AL. A performance assessment framework for hospitals: The WHO regional office for Europe PATH project. Int J Qual Health Care. 2005;17:487–96. doi: 10.1093/intqhc/mzi072. [DOI] [PubMed] [Google Scholar]
- 50.Volpe FM, Magalhães AC, Rocha AR. High bed occupancy rates: Are they a risk for patients and staff? Int J Evid Based Healthc. 2013;11:312–6. doi: 10.1111/1744-1609.12046. [DOI] [PubMed] [Google Scholar]
- 51.Thomas Craig KJ, McKillop MM, Huang HT, George J, Punwani ES, Rhee KB. U.S. hospital performance methodologies: A scoping review to identify opportunities for crossing the quality chasm. BMC Health Serv Res. 2020;20:640. doi: 10.1186/s12913-020-05503-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Christodoulakis A, Karanikas H, Billiris A, Thireos E, Pelekis N. “Big data” in health care assessment of the performance of greek NHS hospitals using key performance and clinical workload indicators. Archives of Hellenic Medicine. 2016;33:489–97. [Google Scholar]
- 53.Lin CY, Shih FC, Ho YH. Applying the balanced scorecard to build service performance measurements of medical institutions: An AHP-DEMATEL approach. Int J Environ Res Public Health. 2023;20:1022. doi: 10.3390/ijerph20021022. [DOI] [PMC free article] [PubMed] [Google Scholar]
