Skip to main content
Global Journal on Quality and Safety in Healthcare logoLink to Global Journal on Quality and Safety in Healthcare
. 2024 Dec 30;8(1):43–49. doi: 10.36401/JQSH-24-23

Connected Healthcare System Technology Interventions to Improve Patient Safety by Reducing Medical Errors: A Systematic Review

Ramkrishna Mondal 1,, Mohammed Sameer 2
PMCID: PMC11808857  PMID: 39935722

Abstract

Medication or medical mistakes, the third highest cause of death in the United States, occur from prescription writing to administering the therapy, with serious clinical and cost repercussions. Digital health technologies, such as connected healthcare systems, have the potential to reduce pharmaceutical errors and increase patient safety. This systematic review was conducted to find literature evidence to improve patient safety and reduce medication errors with connected healthcare interventions. This systematic review was conducted using the PRISMA 2020 guidelines. PubMed, SCOPUS, EBSCO, and Google Scholar databases were searched from January 1, 2000 to June 30, 2024 using keywords: medication errors, patient safety, and connected healthcare. A qualitative narrative analysis was conducted for the review. The detailed search yielded 9524 papers in total. In the process of duplicate removal, 4856 duplicate articles were found. After the removal of duplicate articles, 4615 were found not suitable or relevant to the topic of this study and were removed. Finally, 53 articles were chosen for the review study after screening and duplication removal. Ten of the 53 articles were review articles (18.9%), and 43 (81.1%) were original. The research indicates that various connected healthcare system technologies are more effective in minimizing errors and enhancing care quality. Integrating computerized physician order entry and clinical decision support systems may further reduce medical errors. However, many areas require additional research, and the outcomes are mixed. A balanced strategy that combines innovation, practical safety, and outcome evaluation is preferable.

Keywords: medical errors, patient safety, connected healthcare system, digital health, health technology

INTRODUCTION

The connected healthcare system (CHS) has transformed healthcare by increasing health and disease management efficiency. The Institute of Medicine’s publication, “To Err Is Human,” emphasized patient safety, prompting more research into measurement, accreditation, and regulation. Peter Pronovost of Johns Hopkins University emphasizes the importance of healthcare safety protocols, such as increased hand washing and barcoding, in reducing hospital-acquired illnesses.[1] In 2009, Brigham and Women’s Hospital deployed computerized physician order entry (CPOE) and electronic health records (EHR) technology, which resulted in a 36% reduction in adverse events and a 47% reduction in mortality.[1] Internationally, I-PASS, which represents the five components of quality patient handoff (illness severity [I], patient summary [P], action list [A], situational awareness and contingency plans [S], and synthesis by the receiver [S]) is being used to combat medical errors. Safety improvement is inextricably linked to effective management and a safety culture. The Agency for Healthcare Research and Quality (AHRQ) Health Survey 2.0 assesses safety culture in healthcare institutions, addressing 5% total occurrence of diagnostic errors per emergency department visit.[2,3] Research suggests that diagnostic errors can be reduced through enhanced cooperation, patient engagement, cognitive work, malpractice reform, clinical decision assistance, artificial intelligence (AI), and preventive initiatives. The World Health Organization (WHO) and the AHRQ prioritize increasing resources and infrastructure for outpatient safety, addressing issues such as physician stress, burnout, and culture. The AHRQ is spearheading interdisciplinary research to ensure dependable interventions and accurate reporting.[4,5] Research is critical for generating successful solutions in healthcare systems. Policymakers should set up a national knowledge clearinghouse, address safety concerns, apply best practices, and put scientific advances into practice. Regulating connected health is necessary to improve safety and efficiency.[1,4] The current systematic review provides the latest view on CHS technologies applied for patient safety improvement, including medical error reduction.

METHODS

This systematic review was conducted following PRISMA guidelines. The following keywords were used for the search: medication errors, patient safety, and connected healthcare. PubMed, SCOPUS, EBSCO, and Google Scholar databases were chosen, considering their importance, reputation, and indexing for medical field publication. Gray literature was not included in the study. The search results were sorted by most recent only without applying any filters or limits except the duration selected from January 1, 2000 to June 30, 2024 (Fig. 1). Full text articles were retrieved.

Figure 1.

Figure 1

Systematic review methodology flow diagram (as per PRISMA guideline 2020).

The study type and article category of articles were included for the quantitative analysis. All data were expressed as a percentage. Three independent researchers were recruited for screening and to determine the eligibility of the articles. Both were given separate reports and where controversies arose, the two authors acted independently to finalize them.

RESULTS

The literature search found 9524 articles, and 53 of those were found suitable for inclusion in the systematic review.

Of the 53 articles, 10 were review articles (18.9%), and 43 were original (81.1%). No missing or nonretrievable articles were found. Article summaries are given in Supplemental Table S1 (available online).

DISCUSSION

The WHO is implementing the Global Patient Safety Action Plan to prioritize patient safety first in healthcare. The plan seeks to prevent avoidable harm, improve care quality, and accomplish seven key goals. It engages major partners and is consistent with national interests. The strategy aligns with the World Health Assembly’s strategic objectives and sustainable development goals (SDGs), promoting good health, gender equality, and reduced inequities.[4,6–11] Medication errors are the most reported in all medical fields. High patient volume, complicated medications, specialized treatment, and aging populations cause medication errors in healthcare. Psychological classification aids in the prevention of these errors, but poor training, patient characteristics, workload, diversions, and physical concerns all play a role. Improving education and working conditions and developing a national prescription form can assist in preventing errors. Prescription errors, which account for a major share of healthcare errors, are classified as prescribing faults or prescription errors, and monitoring, reporting, and practice modifications are critical.[1,4,5,12–17] The digital health revolution has taken place with the application of numerous technologies in the healthcare system.[18–33] CHS technology is a fast-expanding field that employs technology such as telehealth, telemedicine, and the Internet of Things (IoT) to enhance outcomes, save costs, and satisfy patient needs. It can help prevent pandemics and assure HIPAA (Health Insurance Portability and Accountability Act) compliance. However, you must have the necessary skills and education to use technology. Broadband technology can enhance accessibility and close gaps in the healthcare system. Digital technologies empower mobility-related folks, lowering their dependency on healthcare experts. Telehealth facilities promote patient involvement and self-efficacy.

With Healthcare 4.0, a transformative strategy that considers the social and cultural determinants of health is critical for providing cost-effective, high-quality treatment.[5,18–32,34–50] SMART and connected health (SCH) technology refers to fully connected digital healthcare solutions that can operate remotely. In 2013, the National Science Foundation and the National Institutes of Health together established the “Smart and Connected Health SCH: Connecting Data, People, and Systems” program. SCH employs digital technology, AI, and telecare to improve patient care quality. The COVID-19 pandemic saw the deployment of biosensing wearables as well as smart technologies, such as AI and IoT. Modernization, technological uptake, technical competence, and privacy and security are some challenges.[6–17,29–32,39–45,51–66]

Approaches for Reducing Medical Errors to Improve Patient Safety

Medical errors are avoidable complications of care that cause harm to patients. The 2000 Institute of Medicine (IOM) study intended to reduce mortality by 50%, prompting the development of Medical Error Reporting Systems (MERS). However, healthcare staff underused MERS, contributing to less than 10% of errors. Hospitals use electronic records to detect adverse medication events, and intensive care units use care bundles.[1,4–14,32,39–45,51–53,57–62,67,68] Medical errors are the third leading cause of death in the United States, accounting for 251,000 fatalities per year. To prevent errors, hospitals should invest in technology, foster a “no-blame” safety culture, and solicit feedback. A culture shift toward patient safety, collaboration, and measures such as ideal patient-to-physician ratios are also required. This research investigates the efficacy of mindfulness-based interventions in lowering stress among adult hospitalized nurses, with an emphasis on potential negative outcomes like depression and burnout. It discovers no correlation between intention and actual reporting behavior. [18–32,34–41]

Role of Technology in Reducing Medication Errors and Improving Patient Safety

Several technologies are available that significantly reduce medication errors and improve patient safety. Medication errors are a significant global health hazard, and healthcare technology interventions can help reduce them. Technologies like AI, soft computing (SC), human AI interaction, robotics, health information technology (HIT), EHR, and so on, as well as interdisciplinary collaboration, can improve patient safety and medical diagnostics. Combining AI and SC approaches enhances urban planning and diagnosis. Medical errors, often caused by pharmaceutical use, are a major issue, leading to public confusion and disagreement about patient safety. More research is needed to develop preventative strategies for medication errors. CPOE can standardize orders, improve quality measurement, coding, and billing, and provide decision support. Implementing EHR and CPOE can reduce prescription mistakes, especially in third-world countries. Clinical decision support systems (CDSS) can minimize adverse drug events (ADEs) by up to 70%.[10] Computerized dosage strategies can lower harmful levels in intervention patients and minimize bleeding complications. Combining CPOE with a computerized medication administration record can reduce errors. Automated dispensing, automated drug distribution systems, barcoding, smart intravenous devices, and computerized discharge prescriptions and instructions can improve communication, reduce errors in inpatient settings, and facilitate patient discharge and transfer through electronic medical records. Medication error prevention in outpatient settings requires specific information technology (IT) measures. Computerized prescribing, transcription, robotics, and web-based drug information can reduce errors by over 50%. Personalized websites can improve patient access and administration. Confidentiality concerns must be addressed, and patient inspections of computerized medication records can help. Of US hospitals, 15% have partially implemented CPOE. IT interventions can reduce expenses, with a significant portion coming from averted ADEs. However, further study is needed for each application.[19–32,39–45,52,57–62,76,77]

Impact of Healthcare Technology on Patient Safety

Patient safety in healthcare entails avoiding negative outcomes or injuries. Healthcare technology, which ranges from basic charting to advanced decision assistance, can enhance patient outcomes by minimizing errors, simplifying care coordination, and monitoring data.

The text provides a systematic review of various studies on using electronic tools for physician shift-to-shift handoffs, barcode technology, smart pumps, telemedicine, telepsychiatry, incident-reporting systems, and electronic medical records in the American health system. It also discusses the benefits and risks of these technologies, policy recommendations for telemedicine in primary care settings, and the effectiveness of incident-reporting systems in improving patient safety. Automated medication dispensing technology in hospitals automates drug management and reduces workload, but the evidence is limited to critical care situations. Retained surgical items prevention technology uses radiofrequency identification (RFID) tagging instead of manual counts. Patient electronic portals provide secure online health information; however, there is little evidence of increasing patient safety. Telemedicine uses telecommunication technologies to communicate between patients and providers, but there is limited evidence of patient safety. Electronic incident reporting systems allow healthcare practitioners to record safety events, but there is little evidence of preventing medical errors.[4–11,18–32,35,37–41,51–53,78–83]

Barriers and Facilitators

The study investigates patients’ opinions of barriers and facilitators in using a patient health record (PHR) for medication management before hospital visits. It lists 14 barriers and 10 facilitators in four related areas (Table 1). The study recommends removing barriers, improving information providing, and addressing practical concerns to improve PHR usage and adoption.[1,15–27,30,32,34–45,57–62]

Table 1.

Barriers and facilitators of connected healthcare technologies

Barriers Facilitators
Patient related Patients frequently struggle to use personal health records for medication reconciliation due to variables such as lack of IT skills, literacy, poor memory, computer access, trust, and motivation. Patients value the PHR for its clarity, emergency support, and patient involvement in treatment, as well as the fact that it may be used without the supervision of a healthcare provider.
Application related Many older patients find it difficult to use a PHR, although few admit it. Common impediments include difficulties registering, changing account information, and asking for passwords, as well as malfunctioning PHRs. Patients advise making PHRs more usable by simplifying and structuring information, adding digital communication with healthcare practitioners, and implementing drug monitoring to reduce drug interactions and duplication.
Process related Patients questioned the duty of updating drug information into a PHR, with some claiming that an HCP should be held accountable for correcting obsolete medicines, while others questioned the patient’s accountability. Patients recommend that hospitals use PHRs for IT-skilled, drug-aware, and younger patients, do additional checks, and update prescription lists regularly to increase patient satisfaction.
Context related Patients are dissatisfied with HCPs’ usage of applications without data transmission, deeming PHRs useless and their information underused, emphasizing the need for better data management and transfer. Patients feel that healthcare HCPs are critical to increasing the use of PHR. They recommend offering more information, assisting patients, and exchanging data across applications.

HCP: healthcare provider; IT: information technology; PHR: patient health record.

Patients cited a lack of clarity on the purpose and existence of a PHR, including feedback and data access. They also noted that issuing the invitation too early could result in medication adjustments or forgetfulness. Finally, patients voiced privacy concerns about adopting an EHR, citing sensitive information and potential hacking dangers, as well as the possibility of personal information becoming widely available online[25–33,39–42,44–46,57–62]

Challenges and Lessons Learned

Medication mistakes in ambulatory practice account for one of every 131 outpatient deaths in the United States.[31] Automated drug lists and computerized prescribing systems can help improve patient safety, but compatibility and uniformity are essential. COVID-19 has accelerated digital transformation in healthcare, necessitating shared accountability and engagement with EHR vendors.[7–17,23–32,34–45,54,55,57–61,86] Sittig et al.[11] identified challenges through an iterative process so that healthcare organizations, HIT developers, researchers, policymakers, and funders can focus their efforts where they are needed most and categorize these challenges into the stage of the health IT lifecycle where they appear, including (1) design and development, (2) implementation and use, and (3) monitoring, evaluation, and optimization (Table 2).[16–32,34–38]

Table 2.

Challenges of connected healthcare technology

A. Design and Development Challenges B. Implementation and Use Challenges C. Monitoring, Evaluation, Optimization Challenges
  • Proactive models for detecting clinical application flaws and managing risks.

  • Poor user interface design in EHRs, ICUs, vital sign monitors, and infusion devices.

  • Prioritizing IT component safety through the FDA’s precertification procedure.

  • Patient safety hazards: maintaining accurate patient matching across systems.

  • Improves safety by recognizing errors and making informed decisions.

  • Requires AI-powered automation while preserving human awareness.

  • Interruptive warnings should bear clinically evident information.

  • Proper approaches are crucial for safety concerns during system transitions.

  • Real-time automated surveillance for system performance and safety.

  • Proposal for a blame-free reporting system for EHR-related patient safety risks.

  • Increased responsibility of consumers and caregivers for health information management.

AI: artificial intelligence; EHR: electronic health record; FDA: Food and Drug Administration; ICU: intensive care unit; IT: information technology.

Healthcare technology safety needs improvement because of nine challenges. Rapid global adoption and increasing errors are causing issues. Organizational solutions for design, testing, and incident monitoring are crucial. Incorporating evidence-based nursing and health informatics literature into strategies can enhance safety.[1,7–24,35–38,41–45,54,55,57–62]

Future Research Needs

Healthcare providers, patients, and regulators are all using connected health technologies to enhance patient safety, reduce harm, and improve outcomes. However, the unknown influence on patient outcomes, particularly the high cost of deploying computerized infrastructures, continues to be a substantial impediment. A systematic study indicated that health IT improved patient safety outcomes in 69 research articles, with the highest positive results shown in inpatient trials and clinical decision support. More thorough research is needed in long-term care and ambulatory settings. Future studies should concentrate on patient safety results, instrument characterization, and cross-institutional comparisons. Further research is required to determine which types and attributes of the technology enhance patient care.[1,5–14,18–33,38,45,46,54,55,57–62,85,86]

This study may have been limited by only searching four databases and excluding gray literature.

CONCLUSION

Patient safety has improved, and medication or medical errors have been reduced through a variety of techniques and advancements, but the Golden Era is being realized through excellent healthcare methods. This includes tackling issues, including outpatient care harm, diagnostic errors, and HIT. Technology can provide benefits, but it is critical to weigh safety evidence and take a balanced approach. Connected healthcare technology is transforming the industry by boosting safety and efficiency, as well as meeting the complex needs of aging populations and long-term conditions. AI has the potential to revolutionize healthcare, but frequent monitoring is required to maximize outcomes and assure its effectiveness in decision-making. Healthcare technology evaluation is challenging because of transformational and organizational changes. Mixed-methods approaches and realism studies are needed to evaluate the quality and safety of developing technology. Implementers and evaluators must work together to balance innovation with practical safety concerns and reduce pharmaceutical errors.

Supplementary Material

Supplemental Material

Supplemental materials are available online with the article.

References

  • 1.Bates DW, Singh H. Two decades since to err is human: an assessment of progress and emerging priorities in patient safety. Health Aff (Millwood). 2018;37:1736–1743. [DOI] [PubMed] [Google Scholar]
  • 2.Medford-Davis L Park E Shlamovitz G et al.. Diagnostic errors related to acute abdominal pain in the emergency department. Emerg Med J. 2016;33:253–259. [DOI] [PubMed] [Google Scholar]
  • 3.Zwaan L Monteiro S Sherbino J et al.. Is bias in the eye of the beholder? A vignette study to assess recognition of cognitive biases in clinical case workups. BMJ Qual Saf. 2017;26:104–110. [DOI] [PubMed] [Google Scholar]
  • 4.WHO . Global Patient Safety Action Plan 2021–2030: Towards Eliminating Avoidable Harm in Health Care. World Health Organization; 2021. [Google Scholar]
  • 5.Navaz AN Serhani MA El Kassabi HT et al.. Trends, technologies, and key challenges in smart and connected healthcare. IEEE Access. 2021;9:74044–74067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Yesmin T, Carter MW, Gladman AS. Internet of things in healthcare for patient safety: an empirical study. BMC Health Serv Res. 2022;22:278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yousef N, Yousef F. Using total quality management approach to improve patient safety by preventing medication error incidences. BMC Health Serv Res. 2017;17:621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Galt KA, Fuji KT, Kaufman TK, Shah SR. Health Information technology use and patient safety: study of pharmacists in Nebraska. Pharmacy. 2017;7:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Seino Y, Sato N, Idei M, Nomura T. The reduction in medical errors on implementing an intensive care information system in a setting where a hospital electronic medical record system is already in use: retrospective analysis. JMIR Perioper Med. 2022;5:e39782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Brenner SK Kaushal R Grinspan Z et al.. Effects of health information technology on patient outcomes: a systematic review. J Am Med Inform Assoc. 2016;23:1016–1036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sittig DF Wright A Coiera E et al.. Current challenges in health information technology-related patient safety. Health Informatics J. 2020;26:181–189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zurynski Y Ellis LA Tong HL et al.. Implementation of electronic medical records in mental health settings: scoping review. JMIR Ment Health. 2021;8:e30564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sadiku MNO, Chukwu UC, Ajayi-Majebi A, Musa SM. Essence of soft computing in healthcare. Published in Int J Sci Res. 2022;6:542–547. [Google Scholar]
  • 14.Popescu C, EL-Chaarani H, EL-Abiad Z, Gigauri I. Implementation of health information systems to improve patient identification. Int J Environ Res Public Health. 2022;19:15236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Feldman SS, Buchalter S, Hayes LW. Health information technology in healthcare quality and patient safety: literature review. JMIR Med Inform. 2018;6:e10264. Erratum in JMIR Med Inform. 2019;7:e11320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Regan EA. Changing the research paradigm for digital transformation in healthcare delivery. Front Digit. Health 2022;4:911634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Babel A Taneja R Mondello Malvestiti F et al.. Artificial intelligence solutions to increase medication adherence in patients with non-communicable diseases. Front Digit Health. 2021;3:669869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.El Khatib M Hamidi S Al Ameeri I et al.. Digital disruption and big data in healthcare - opportunities and challenges. Clinicoecon Outcomes Res. 2022;14:563–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Singh H, Sittig DF. Measuring and improving patient safety through health information technology: the Health IT Safety Framework. BMJ Qual Saf. 2016;25:226–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Yardimci A. Assessment of soft computing-based monitoring in healthcare. Glob J Tech. 2015;9:114–112. [Google Scholar]
  • 21.Das S, Sanyal MK. Application of AI and soft computing in healthcare: a review and speculation. Int J Sci Tech Res. 2020;8:21. [Google Scholar]
  • 22.Manias E, Kusljic S, Wu A. Interventions to reduce medication errors in adult medical and surgical settings: a systematic review. Ther Adv Drug Saf. 2020;11:2042098620968309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Sujan M, Scott P, Cresswell K. Digital health and patient safety: technology is not a magic wand. Health Inform J. 2020;26:2295–2299. [DOI] [PubMed] [Google Scholar]
  • 24.Sheikh A Anderson M Albala S et al.. Health information technology and digital innovation for national learning health and care systems. Lancet Digit Health. 2021;3:e383–e396. [DOI] [PubMed] [Google Scholar]
  • 25.Liao CY Wu MF Poon SK et al.. Improving medication safety by cloud technology: progression and value-added applications in Taiwan. Int J Med Inform. 2019;126:65–71. [DOI] [PubMed] [Google Scholar]
  • 26.Salahuddin L, Ismail Z. Classification of antecedents towards safety use of health information technology: a systematic review. Int J Med Inform. 2015;84:877–891. [DOI] [PubMed] [Google Scholar]
  • 27.Uchmanowicz I Lisiak M Wleklik M et al.. The impact of rationing nursing care on patient safety: a systematic review. Med Sci Monit. 2024;30:e942031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lin YT, Will T, Wickham C, Boeree P, Jack D, Keiser M. Evolution of the RebiSmart® electromechanical autoinjector to improve usability in support of adherence to subcutaneous interferon beta-1a therapy for people living with multiple sclerosis. patient prefer adherence. 2023;17:1923–1933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Larsen RE Pripp AH Krogstad T et al.. Development and validation of a new non-disease-specific survey tool to assess self-reported medication adherence. Front Pharmacol. 2022;13:981368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.van der Nat DJ Huiskes VJB Taks M et al.. Barriers and facilitators for the usage of a personal health record for medication reconciliation: a qualitative study among patients. Br J Clin Pharmacol. 2022;88:4751–4762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Khoong EC Sharma AE Gupta K et al.. The abrupt expansion of ambulatory telemedicine: implications for patient safety. J Gen Intern Med. 2022;37:1270–1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Härkänen M Franklin BD Murrells T et al.. Factors contributing to reported medication administration incidents in patients' homes - a text mining analysis. J Adv Nurs. 2020;76:3573–3583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Mondal R, Mishra S. The clinical challenges for digital health revolution. In: Chakraborty C, Ed. Digital Health Transformation with Blockchain and Artificial Intelligence. 1st ed. CRC Press; 2022:116. [Google Scholar]
  • 34.Santos LL Camerini FG Fassarella CS et al.. Medication time out as a strategy for patient safety: reducing medication errors. Rev Bras Enferm. 2021;74:e20200136. [DOI] [PubMed] [Google Scholar]
  • 35.Janett RS, Yeracaris PP. Electronic medical records in the American health system: challenges and lessons learned. Cien Saude Colet. 2020;25:1293–1304. [DOI] [PubMed] [Google Scholar]
  • 36.Basil NN, Ambe S, Ekhator C, Fonkem E. Health records database and inherent security concerns: a review of the literature. Cureus. 2022;14:e30168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chaudary M I Zeb J Arshad F et al.. Comparison of digital versus conventional documentation of ward round in terms of staff satisfaction, effect on education, and adherence to British Orthopaedic Association guidelines. Cureus. 2022;14:e27598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Palojoki S Saranto K Reponen E et al.. Classification of electronic health record-related patient safety incidents: development and validation study. JMIR Med Inform. 2021;9:e30470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Banks J, Varley J, Fitzsimons M, Doherty CP. Self-reported antiepilepsy medication adherence and its connection to the perception of medication error. Epilepsy Behav. 2020;104(Pt A):106896. [DOI] [PubMed] [Google Scholar]
  • 40.Nowakowska M van Staa T Mölter A et al.. Antibiotic choice in UK general practice: rates and drivers of potentially inappropriate antibiotic prescribing. J Antimicrob Chemother. 2019;74:3371–3378. [DOI] [PubMed] [Google Scholar]
  • 41.Knight SW, Trinkle J, Tschannen D. Hospital-to-homecare videoconference handoff: improved communication, coordination of care, and patient/family engagement. Home Health Now. 2019;37:198–207. [DOI] [PubMed] [Google Scholar]
  • 42.Cook TM Wilkes A Bickford Smith P et al.. Multicentre clinical simulation evaluation of the ISO 80369-6 neuraxial non-Luer connector. Anesthesia. 2019;74:619–629. [DOI] [PubMed] [Google Scholar]
  • 43.Kim SJ, Han KT, Kang HG, Park EC. Toward safer prescribing: evaluation of a prospective drug utilization review system on inappropriate prescriptions, prescribing patterns, and adverse drug events and related health expenditure in South Korea. Public Health. 2018;163:128–136. [DOI] [PubMed] [Google Scholar]
  • 44.Mazzitelli N Rocco G De Andreis G et al.. Reducing drug administration errors using “Do not disturb” tabards and signs [in Italian]. Prof Inferm. 2018;71:95–103. [DOI] [PubMed] [Google Scholar]
  • 45.Biltoft J, Finneman L. Clinical and financial effects of smart pump- electronic medical record interoperability at a hospital in a regional health system. Am J Health Syst Pharm. 2018;75:1064–1068. [DOI] [PubMed] [Google Scholar]
  • 46.Pattichis CS, Panayides AS. Connected health. Front Digit Health. 2019;1:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Karampela M Isomursu M Porat T et al.. The extent and coverage of current knowledge of connected health: a systematic mapping study. J Med Internet Res. 2019;21:e14394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Simon P. The new paradigms of connected health—what impacts and effects on organizational models of care structures? Audrain-Pontevia AF, Menvielle W, Menvielle L, Eds. The Digitization of Healthcare. Palgrave Macmillan; 2017:23. [Google Scholar]
  • 49.Jingshan L, Pascale C. Health care 4.0: a vision for smart and connected health care. IISE Transa Healthc Syst Eng. 2021;11:171–180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Nair P, Antoniou PE, Pino EJ, Fico G. Highlights in connected health 2021/22. Front Digit Health. 2022;4:1066860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Borycki EM Senthriajah Y Kushniruk AW et al.. Reducing technology-induced errors: organizational and health systems approaches. Stud Health Technol Inform. 2016;225:741–743. [PubMed] [Google Scholar]
  • 52.Magrabi F, Ong MS, Coiera E. Health IT for patient safety and improving the safety of health IT. Stud Health Technol Inform. 2016;222:25–36. [PubMed] [Google Scholar]
  • 53.Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Med J. 2017;38:1173–1180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bates DW Levine D Syrowatka A et al.. The potential of artificial intelligence to improve patient safety: a scoping review. Digit. Med. 2021;4:54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Miziara ID, Miziara CSMG. Medical errors, medical negligence, and defensive medicine: a narrative review. Clinics (Sao Paulo). 2022;77:100053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Nijor S, Rallis G, Lad N, Gokcen E. Patient safety issues from information overload in electronic medical records. J Patient Saf. 2022;18:e999–e1003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Bacci JL, Berenbrok LA. Innovative advances in connectivity and community pharmacist patient care services: implications for patient safety. Pharmacotherapy. 2018;38:867–874. [DOI] [PubMed] [Google Scholar]
  • 58.Kjos AL, Bryant GA. Communication networks of medication management in an ambulatory care setting. Res Social Adm Pharm. 2019;15:182–192. [DOI] [PubMed] [Google Scholar]
  • 59.Khalil H, Lee S. The implementation of a successful medication safety program in primary care. J Eval Clin Pract. 2018;24:403–407. [DOI] [PubMed] [Google Scholar]
  • 60.Pourasghar F, Tabrizi JS, Yarifard K. Design and development of a clinical risk management tool using radio frequency identification (RFID). Acta Inform Med. 2016;24:111–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Verstappen W Gaal S Bowie P et al.. A research agenda on patient safety in primary care. Recommendations by the LINNEAUS collaboration on patient safety in primary care. Eur J Gen Pract. 2015;21 Suppl(sup1):72–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Ariosto D. Factors contributing to CPOE opiate allergy alert overrides. AMIA Annu Symp Proc. 2014;2014:256–265. [PMC free article] [PubMed] [Google Scholar]
  • 63.Taylor K. Connected Health - How Digital Technology Is Transforming Health and Social Care. Deloitte; 2015. [Google Scholar]
  • 64.Chen M, Qu J, Xu Y, Chen J. Smart and connected health: what can we learn from funded projects? Data Inf Manag. 2018;2:141–152. [Google Scholar]
  • 65.Vaishya R, Javaid M, Khan IH, Haleem A. Artificial intelligence (AI) applications for covid-19 pandemic. Diabetes Metab Syndr Clin Res Rev. 2020;14:337–339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Kumar K, Kumar N, Shah R. Role of IoT to avoid the spreading of COVID-19. Int J Intell Netw. 2020;1:32–35. [Google Scholar]
  • 67.Jhugursing M, Dimmock V, Mulchandani H. Error and root cause analysis. BJA Educ. 2017;17:323–333. [Google Scholar]
  • 68.Karande S, Marraro GA, Spada C. Minimizing medical errors to improve patient safety: an essential mission ahead . J Postgrad Med. 2021;67:1–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Makary MA, Daniel M. Medical error-the third leading cause of death in the US. BMJ. 2016;353:i2139. [DOI] [PubMed] [Google Scholar]
  • 70.West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences, and solutions. J Intern Med. 2018;283:516–529. [DOI] [PubMed] [Google Scholar]
  • 71.Westley JA Peterson J Fort D et al.. Impact of nurse's worked hours on medication administration near-miss error alerts. Chronobiol Int. 2020;37:1373–1376. [DOI] [PubMed] [Google Scholar]
  • 72.Botha E, Gwin T, Purpora C. The effectiveness of mindfulness-based programs in reducing stress experienced by nurses in adult hospital settings: a systematic review of quantitative evidence protocol. JBI Database System Rev Implement Rep. 2015;13:21–29. [DOI] [PubMed] [Google Scholar]
  • 73.Hung CC, Chu TP, Lee BO, Hsiao CC. Nurses’ attitude and intention of medication administration error reporting. J Clin Nurs. 2016;25:445–453. [DOI] [PubMed] [Google Scholar]
  • 74.Köse E, Öztürk NN, Karahan SR. Artificial intelligence in surgery. Eur Arch Med Res. 2018;34(Suppl. 1):S4–S6. [Google Scholar]
  • 75.Lee S, Choi M. Ultra-rare disease and genomics-driven precision medicine. Genomics Inform. 2016;14:42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Chui K Alhalabi SW. Pang P et al.. Disease diagnosis in smart healthcare: innovation, technologies and applications. Sustainability. 2017;9:2309. [Google Scholar]
  • 77.Das S, Sanyal MK, Datta D. Advanced diagnosis of deadly diseases using regression and neural network. Sinha D, Mandal J, Eds. Social Transformation – Digital Way. Springer; 2018:69. [Google Scholar]
  • 78.Davis J Riesenberg LA Mardis M et al.. Evaluating outcomes of electronic tools supporting physician shift-to-shift handoffs: a systematic review. J Grad Med Educ. 2015;7:174–180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Leung AA Denham CR Gandhi TK et al.. A safe practice standard for barcode technology. J Patient Saf. 2015;11:89–99. [DOI] [PubMed] [Google Scholar]
  • 80.Ohashi K, Dalleur O, Dykes PC, Bates DW. Benefits and risks of using smart pumps to reduce medication error rates: a systematic review. Drug Saf. 2014;37:1011–1120. [DOI] [PubMed] [Google Scholar]
  • 81.Daniel H, Sulmasy; Health and Public Policy Committee of the American College of Physicians . Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. Ann Intern Med. 2015;163:787–789. [DOI] [PubMed] [Google Scholar]
  • 82.Salmoiraghi A, Hussain S. A systematic review of the use of telepsychiatry in acute settings. J Psychiatr Pract. 2015;21:389–393. [DOI] [PubMed] [Google Scholar]
  • 83.Stavropoulou C, Doherty C, Tosey P. How effective are incident-reporting systems for improving patient safety? Milbank Q. 2015;93:826–866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Kim MO, Coiera E, Magrabi F. Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review. J Am Med Inform Assoc. 2017;24:246–250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Coiera E. The fate of medicine in the time of AI. Lancet. 2018;392:2331–2332. [DOI] [PubMed] [Google Scholar]
  • 86.Greaves F Joshi I Campbell M et al.. What is an appropriate level of evidence for a digital health intervention? Lancet. 2018; 392:2665–2667. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Global Journal on Quality and Safety in Healthcare are provided here courtesy of Innovative Healthcare Institute

RESOURCES