Skip to main content
Cureus logoLink to Cureus
. 2024 Feb 7;16(2):e53756. doi: 10.7759/cureus.53756

Physicians' Perspectives on the Impact of Insurance Status on Clinical Decision-Making in Saudi Arabia

Abdullah A Alotaibi 1,, Khalid A Alotaibi 2, Ahmad N Almutairi 3, Anas Alsaab 4
Editors: Alexander Muacevic, John R Adler
PMCID: PMC10921445  PMID: 38465027

Abstract

Background

The decision-making process in clinical practice depends heavily on collaboration and information sharing. Physicians' decision-making processes are profoundly influenced by the patient's insurance status, which warrants focused investigation. Hence, this study aimed to investigate how physicians perceive the influence of insurance status on treatment options and medical interventions and to explore the extent to which physicians discuss insurance-related considerations with patients during the shared decision-making process.

Methodology

This was a cross-sectional exploratory study conducted in various healthcare facilities all over Saudi Arabia. The electronic questionnaire was the primary tool for data collection. Data were then coded, entered, and analyzed using both descriptive and inferential statistical methods.

Results

The study involved 430 physicians, primarily male (= 230, 53.5%), aged 31-40 years (= 215, 50%), and mostly non-Saudi (= 285, 66.3%). Medical officers constituted the majority of the study population (= 258, 60%), with one to five years of experience (= 187, 43.5%), and engaged in private practice (= 230, 70%). Concerning insurance, 287 (66.7%) physicians considered patient's insurance when discussing treatment options, while 318 (74%) physicians discussed the financial implications of different treatment options with the patients. Regarding outcomes, 373 (86.7%) physicians believed that insurance status affected patient outcomes and treatment modalities. Significant factors, such as age between 31 and 40 years (P < 0.001), over 10 years of clinical experience (P = 0.002), engagement in both governmental and private practice (P = 0.012), and being a medical officer (P = 0.005), demonstrated a high impact on the insurance status influencing clinical decision-making. Overall, recognizing the influence of insurance on decision-making is crucial for equitable healthcare.

Conclusions

More than half of the physicians demonstrated high scores indicating the impact of insurance status on the clinical decision-making process. This impact was influenced by specific physician parameters such as age, experience, specialty, and type of practice. Moreover, the financial situation and insurance status of the patients significantly affected treatment and patient outcomes.

Keywords: impact, insurance status, saudi arabia, clinical decision-making, physician

Introduction

Clinical decision-making is a collaborative process that hinges on the exchange of information [1]. In this process, healthcare providers disseminate the advantages and drawbacks of various treatment possibilities, while patients contribute their personal values and lifestyle choices. This amalgamation of data facilitates decisions grounded in the most relevant evidence, tailored to individual preferences and requirements. The crux of decision-making arises when several medically viable alternatives are at hand, with no universally optimal solution.

The contemporary landscape of healthcare systems is marked by a dynamic interplay between clinical decision-making and an array of external factors that collectively shape patient care [2]. Among these, influential factors, the patient’s insurance status has risen to prominence, warranting focused investigation into its impact on the decision-making processes of the physicians [3].

Particularly within the context of Saudi Arabia, a country undergoing rapid advancements in healthcare, the intricate relationship between insurance status and clinical decision-making has emerged as a subject of paramount importance [4]. This research embarks on a comprehensive exploration, aiming to unravel the nuanced layers of physicians’ perceptions concerning how insurance status intricately influences their clinical decision-making practices within the intricate tapestry of the Saudi Arabian healthcare landscape.

This study posits that the interface between insurance status and clinical decision-making is an intricate and multifaceted domain that extends far beyond monetary considerations. It signifies a juncture where the art and science of medicine converge with socioeconomic dynamics, ethical considerations, and patient-centered care. The choices physicians make, guided by their perceptions and insights, hold the potential to be influenced by a patient’s insurance status, thereby shaping the trajectory of medical interventions, diagnostic pathways, and treatment modalities [5]. Specifically, it seeks to comprehend the intricate ways in which insurance status reverberates through the corridors of clinical decision-making in Saudi Arabia’s intricate healthcare.

As Saudi Arabia forges ahead in its mission to elevate its healthcare ecosystem, the insights derived from this research hold significant implications. A comprehensive grasp of physicians’ perceptions regarding the intricate interplay between insurance status and clinical decision-making could illuminate potential areas of improvement in patient care, resource allocation, and policy formulation [3]. The findings can catalyze informed dialogues among stakeholders, fostering a healthcare system that is not only technologically advanced but also deeply attuned to the diverse needs and dynamics of its patient population.

The nexus between insurance status and clinical decision-making has garnered substantial global attention within the healthcare discourse in recent years. The research by Riley has underscored the formidable challenges that uninsured patients often encounter in accessing comprehensive medical care, exacerbating pre-existing disparities within healthcare systems [6]. This observation has illuminated the profound implications of insurance status, reaching far beyond financial implications, and reinforcing the need for equitable healthcare access.

Interestingly, within the context of Saudi Arabia, a parallel perspective has remained relatively underexplored. Al-Hanawi et al. ventured into this uncharted territory, revealing a noteworthy correlation between insurance coverage and the promptness of medical treatments [4]. This revelation has highlighted the potentially pivotal role of insurance status in shaping the timely delivery of healthcare services [7]. Yet, despite these significant findings, the scholarly landscape continues to grapple with a palpable gap in comprehensive inquiry into the intricate interplay between physicians’ perceptions and their navigation of the intricate disparities within the Saudi Arabian healthcare fabric.

The realm of healthcare delivery is inextricably intertwined with the influence of physicians’ perceptions upon their clinical practices [8]. Kruk et al. have illuminated the pivotal role of physicians’ understanding of the healthcare system, particularly insurance policies, in shaping their clinical decisions [9]. The healthcare landscape of Saudi Arabia elegantly harmonizes traditional values and progressive medical practices, and beckons for an in-depth exploration into how physicians’ perceptions meld with the intricate nuances of insurance status. This interplay signifies a critical determinant that can potentially shape the trajectory of medical choices. To illuminate this complex interplay, it is essential to navigate the multifaceted cultural and healthcare framework within which Saudi Arabian physicians operate [10]. Understanding these perceptions within this broader context becomes a cornerstone for unraveling the complexities that underline the intricate interplay between insurance status and physicians’ medical decisions.

Saudi Arabia’s societal fabric intricately weaves together cultural, social, and economic threads that can potentially overlay the interface between insurance status and clinical decisions [11]. The scholarly insight provided by Alodhayani et al. has highlighted the discernible impact of cultural norms and societal expectations on medical choices [12]. This multifaceted interjection necessitates a deliberate exploration of how these cultural and contextual elements intersect with insurance-related considerations. This intersection amplifies the intricate dynamics that influence physicians’ decision-making processes, accentuating the complexity of their responses to insurance-related factors. Unpacking these multidimensional layers provides a more profound understanding of the intricate influences that shape clinical choices within the dynamic Saudi Arabian healthcare landscape.

Hence, this study aimed to investigate how physicians perceived the influence of insurance status on treatment options and medical interventions and to explore the extent to which physicians discussed insurance-related considerations with patients during the shared decision-making process.

Materials and methods

Study design and area

This research employed a cross-sectional exploratory study conducted in various healthcare facilities all over Saudi Arabia from April to October 2023. The study involved data collection regarding their perceptions of the impact of insurance status on clinical decision-making.

Participants' inclusion and exclusion criteria

The study participants included practicing physicians from various specialties and categories (consultants, registrars, senior registrars/general practitioners) working in private or both types of practices (government and private) and holding Saudi and non-Saudi nationality. Doctors exclusively working in government settings were excluded.

Data collection

Data were collected using an electronic questionnaire. The questionnaire was composed of two sections, including sociodemographic information and the Modified 9-item Shared Decision-Making Questionnaire (SDM-Q-Doc, physician version) [13]. SDM-Q-Doc was modified to reflect the context of insurance-related considerations in clinical decision-making.

Data sampling

A stratified random sampling technique was used to collect data.

Data analysis

Data collected through the questionnaire was analyzed using both descriptive and inferential statistical methods using IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY) software. Descriptive statistics were used to summarize sociodemographic information and participants' responses to individual questionnaire items. Inferential statistics such as analysis of variance (ANOVA) and student's t-test were employed to identify significant associations between participants' characteristics and their perceptions of insurance-related influences on clinical decision-making. P-value was considered significant if it was less than 0.05.

Ethical considerations

Ethical approval was sought from an appropriate institutional review board (IRB) before conducting the study. Informed consent was obtained from all participating physicians. To ensure confidentiality, all collected data were anonymized and stored securely. This study was a non-interventional, survey-based research focusing on the impact of insurance status on physicians' clinical decision-making processes. The study methodology did not involve direct patient interactions, use of human tissue, or access to identifiable patient records. Furthermore, all data collected were entirely anonymous, ensuring that no identifiable information was used or mentioned.

Results

Participants' characteristics

About 430 participants were included in the current study, of which 230 (53.5%) were male and 200 (46.5%) were female. Half of the participants (= 215, 50%) were within the age group of 31 to 40 years. About 145 (33.7%) were Saudi, and the rest 285 (66.3%) were non-Saudi. The majority of the participants (= 258, 60%) were medical officers with one to five years of experience (=187, 43.5%). Three hundred one participants (70%) were engaged in private practice only, while the remaining 129 participants (30%) were involved in both private and governmental practices (Table 1).

Table 1. Sociodemographic characteristics of the study participants (n = 430).

The data have been represented as n and %.

Variable Categories Frequency Percentage (%)
Gender Male 230 53.5
Female 200 46.5
Age (in years) 25-30 71 16.5
31-40 215 50
41-59 116 27
60 or more 28 6.5
Nationality Saudi 145 33.7
Non-Saudi 285 66.3
Category General practitioner 115 26.7
Registrar 101 23.5
Senior registrar 100 23.3
Consultant 114 26.5
Specialty Dentist 71 16.5
Medical 258 60
Surgical 101 23.5
Years of experience Less than one year 15 3.5
1-5 years 187 43.5
6-10 years 156 36.3
More than 10 years 72 16.7
Type of practice Private-only 301 70
Both (Government/Private) 129 30

Physicians’ perceptions of insurance status impact on clinical decision-making

About 287 (66.7%) participants agreed that they take into consideration the patient's insurance status when discussing potential treatment options. Around 317 (73.7%) agreed that they would ensure that their patients are aware of how their insurance status might impact the range of treatment options available to them. Discussing the financial implications of different treatment options with patients considering their insurance coverage was agreed by 318 (74%) participants. Differences in the treatment choices made by patients based on their insurance status and insurance-related considerations influenced the time was agreed by 331 (77%) and 288 (67%) participants, respectively. Almost 373 (86.7%) participants agreed that insurance status can impact patient outcomes and treatment effectiveness, and 274 (63.7%) participants agreed that insurance-related factors played a role in the shared decision-making process between them and their physicians. However, 260 (60.5%) felt that patients with different insurance statuses received equitable medical care. Only 318 (74%) participants agreed that addressing insurance-related disparities in healthcare is essential for improving patient outcomes (Table 2).

Table 2. Physicians’ perceptions of insurance status impact on clinical decision-making.

The data have been represented as n and %.

Statement Disagree, n (%) Neutral, n (%) Agree, n (%)
1. I take into consideration a patient's insurance status when discussing potential treatment options. 56 (13) 87 (20.2) 287 (66.7)
2. I ensure that my patients are aware of how their insurance status might impact the range of treatment options available to them. 14 (3.3) 99 (23) 317 (73.7)
3. I discuss the financial implications of different treatment options with patients, considering their insurance coverage. 0 (0) 112 (26) 318 (74)
4. I have observed differences in the treatment choices made by patients based on their insurance status. 0 (0) 99 (23) 331 (77)
5. Insurance-related considerations influence the time taken by patients to receive necessary medical interventions. 42 (9.8) 100 (23.3) 288 (67)
6. I believe that insurance status can impact patient outcomes and treatment effectiveness. 28 (6.5) 29 (6.7) 373 (86.7)
7. Insurance-related factors play a role in the shared decision-making process between me and my patients. 0 (0) 156 (36.3) 274 (63.7)
8. I feel that patients with different insurance statuses receive equitable medical care. 29 (6.7) 141 (32.8) 260 (60.5)
9. I believe that addressing insurance-related disparities in healthcare is essential for improving patient outcomes. 28 (6.5) 84 (19.5) 318 (74)

When discussing treatment options, 287 (66.7%) participants agreed that they considered the patient's insurance status (Figure 1).

Figure 1. Physicians' answers about whether they take into consideration a patient's insurance status when discussing potential treatment options.

Figure 1

The mean of the SDM-Q-Doc total score was found to be 24.0 ± 3.21 (range 13-27) out of a total of 27. A statistically significant association was found between years of experience and the score of insurance status impact on clinical decision-making (= 0.002). Participants with more than 10 years of experience had a higher score of insurance status impact on clinical decision-making. Physicians in the age group of 31 to 40 years had a higher score of insurance status impact on clinical decision-making (P < 0.001 and 0.005, respectively). The type of practice was also found to be significantly associated with the score of insurance status impact on clinical decision-making (P = 0.012). Participants practicing in both private and governmental sectors had a higher score of insurance status impact on clinical decision-making (Table 3).

Table 3. Factors associated with physicians' perceptions of how insurance status impacts clinical decision-making.

The data have been represented as mean ± SD. A higher mean reflects a higher impact on clinical decision-making.

P-value was considered significant at < 0.05.

Variable Categories Score of insurance status Impacts on clinical decision-making P-value
Mean SD
Gender Male 23.85 3.684 0.381
Female 24.12 2.555
Age (in years) 25-30 23.00 3.740 <0.001
31-40 25.38 2.113
41-59 24.83 2.242
60 or more 23.50 1.528
Nationality Saudi 24.06 2.852 0.710
Non-Saudi 23.93 3.379
Category General practitioner 24.16 2.664 0.382
Registrar 24.33 2.367
Senior registrar 23.75 2.717
Consultant 23.68 4.495
Specialty Dentist 24.24 2.659 0.005
Medical 24.26 3.402
Surgical 23.07 2.892
Years of experience Less than 1 year 25.00 0.000 0.002
1-5 years 23.43 3.521
6-10 years 24.04 3.364
More than 10 years 25.04 1.682
Type of practice Private only 23.76 3.528 0.012
Both (Government/Private) 24.47 2.226

Discussion

Determination of physicians’ perception about how insurance status impacts clinical decision-making. It also plays an undeniable role in deciding the patient's plan of management to be finalized from the patient's side [3].

About two-thirds (287, 66.7%) of participants agreed that they considered the patient's insurance status when discussing potential treatment options; similar findings were reported in a congruent study [14].

More than two-thirds (317, 73.7%) agreed that they would ensure that their patients were aware of how their insurance status might impact the range of treatment options available to them; analogous findings were reported in Murray's study [15].

Discussing the financial implications of different treatment options with patients considering their insurance coverage was agreed by 318 (74%) participants; similar findings were mentioned in a parallel study in which decision-making belonged to both the physician and the patient [16]. More than two-thirds (318, 74%) of the participants agreed that addressing insurance-related disparities in healthcare is essential for improving patient outcomes. And 373 (86.7%) participants agreed that insurance status can impact patient outcomes and treatment effectiveness.

Out of 27, the mean SDM-Q-Doc total score was found to be 24.0 ± 3.21, whereas similar findings were reported in a congruent study [17].

Regarding the association between factors related to physicians’ perception of how insurance status impacted clinical decision-making; age was found to be significantly associated with the score as participants aged 31-40 years had higher scores than others, while contradictory findings were reported in the study [17]. A statistically significant association was found between years of experience and score of insurance status impact on clinical decision-making, with participants who had more than 10 years of experience having the higher score. The type of practice was also found to be significantly associated with the score of insurance status impact on clinical decision-making. Similar results were reported in a congruent study, which demonstrated that the type of practice influenced the physicians’ clinical decision-making in patients with insurance [18,19].

At the heart of modern healthcare ecosystems lies the instrumental role of Health Information Systems (HIS) in optimizing care delivery. Patient information, harvested meticulously from these systems, informs clinical decisions while potentially recalibrating the weight assigned to insurance-related factors. The investigation in some prior studies aptly emphasized the precision of diagnoses and treatment strategies catalyzed by the integration of comprehensive electronic health records [20, 21]. However, within the unique contours of the Saudi Arabian healthcare milieu, the intricate dance between HIS integration and the delicate balance of insurance status and clinical decisions remains an untrodden path. Delving into this domain holds the promise of unearthing the extent to which technology-driven insights reshape physicians’ perceptions regarding treatment decisions, subsequently finding expression in the intricate tapestry of clinical scenarios [22]. This exploration extends beyond mere technological integration, unveiling the dynamic ways in which healthcare systems evolve to harmonize diverse determinants, including insurance status, into the delicate fabric of clinical decision-making processes.

This study had some limitations. Despite using stratified random sampling, there was insufficient randomization due to nonresponse from the section of the targeted sample to the online questionnaire resulting in the observed demographic characteristics of the current study sample as well as the subsequent result. Additionally, the exclusion of doctors who work only in government is devoid of the study of important sections and might affect the observed responses.

Conclusions

This study concluded that insurance status’ had impact on the clinical decision-making process, which was influenced by specific parameters of physicians like age, experience, specialty, and type of practice. Physician-patient relationship and interaction should be improved and all management options should be discussed with the advantages and disadvantages of particular management option compared to other options to set the suitable plan of management for particular patients according to their economic and insurance status with the most proper management plan available and acceptable for the patient.

The authors have declared that no competing interests exist.

Author Contributions

Concept and design:  Abdullah A. Alotaibi, Khalid A. Alotaibi, Ahmad N. Almutairi, Anas Alsaab

Acquisition, analysis, or interpretation of data:  Abdullah A. Alotaibi, Khalid A. Alotaibi, Ahmad N. Almutairi, Anas Alsaab

Drafting of the manuscript:  Abdullah A. Alotaibi, Khalid A. Alotaibi, Ahmad N. Almutairi, Anas Alsaab

Critical review of the manuscript for important intellectual content:  Abdullah A. Alotaibi, Khalid A. Alotaibi, Ahmad N. Almutairi, Anas Alsaab

Human Ethics

Consent was obtained or waived by all participants in this study. issued approval Not available

Animal Ethics

Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.

References

  • 1.A review of clinical decision making: models and current research. Banning M. J Clin Nurs. 2008;17:187–195. doi: 10.1111/j.1365-2702.2006.01791.x. [DOI] [PubMed] [Google Scholar]
  • 2.Teamwork in healthcare: key discoveries enabling safer, high-quality care. Rosen MA, DiazGranados D, Dietz AS, Benishek LE, Thompson D, Pronovost PJ, Weaver SJ. Am Psychol. 2018;73:433–450. doi: 10.1037/amp0000298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Primary care physicians' perceptions of the effect of insurance status on clinical decision making. Meyers DS, Mishori R, McCann J, Delgado J, O'Malley AS, Fryer E. Ann Fam Med. 2006;4:399–402. doi: 10.1370/afm.574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.The effects of health insurance on health-seeking behaviour: evidence from the Kingdom of Saudi Arabia. Al-Hanawi MK, Mwale ML, Kamninga TM. Risk Manag Healthc Policy. 2020;13:595–607. doi: 10.2147/RMHP.S257381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Taking action on the social determinants of health in clinical practice: a framework for health professionals. Andermann A. CMAJ. 2016;188:0–83. doi: 10.1503/cmaj.160177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Health disparities: gaps in access, quality and affordability of medical care. Riley WJ. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540621/ Trans Am Clin Climatol Assoc. 2012;123:167–174. [PMC free article] [PubMed] [Google Scholar]
  • 7.Does insurance status influence outpatient flow? cross-sectional comparison of insured and uninsured patients in a tertiary hospital in Nigeria. Opurum NE, Kemdirim CJ, Uduak A, Hart D, Ogaji DS. J Patient Exp. 2022;9:23743735221077546. doi: 10.1177/23743735221077546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Physicians' perceptions and use of a health information exchange: a pilot program in South Korea. Lee SI, Park H, Kim JW, Hwang H, Cho EY, Kim Y, Ha K. Telemed J E Health. 2012;18:604–612. doi: 10.1089/tmj.2011.0261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.High-quality health systems in the Sustainable Development Goals era: time for a revolution. Kruk ME, Gage AD, Arsenault C, et al. Lancet Glob Health. 2018;6:0–252. doi: 10.1016/S2214-109X(18)30386-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Exploring social determinants of health in a Saudi Arabian primary health care setting: the need for a multidisciplinary approach. Almujadidi B, Adams A, Alquaiz A, Van Gurp G, Schuster T, Andermann A. Int J Equity Health. 2022;21:24. doi: 10.1186/s12939-022-01627-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.The changing face of healthcare in Saudi Arabia. Walston S, Al-Harbi Y, Al-Omar B. Ann Saudi Med. 2008;28:243–250. doi: 10.5144/0256-4947.2008.243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Culture-specific observations in a Saudi Arabian digital home health care program: focus group discussions with patients and their caregivers. Alodhayani AA, Hassounah MM, Qadri FR, Abouammoh NA, Ahmed Z, Aldahmash AM. J Med Internet Res. 2021;23:0. doi: 10.2196/26002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample. Kriston L, Scholl I, Hölzel L, Simon D, Loh A, Härter M. Patient Educ Couns. 2010;80:94–99. doi: 10.1016/j.pec.2009.09.034. [DOI] [PubMed] [Google Scholar]
  • 14.The effect of physician disclosure of financial incentives on trust. Levinson W, Kao A, Kuby AM, Thisted RA. Arch Intern Med. 2005;165:625–630. doi: 10.1001/archinte.165.6.625. [DOI] [PubMed] [Google Scholar]
  • 15.Clinical decision-making: physicians' preferences and experiences. Murray E, Pollack L, White M, Lo B. BMC Fam Pract. 2007;8:10. doi: 10.1186/1471-2296-8-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango) Charles C, Gafni A, Whelan T. Soc Sci Med. 1997;44:681–692. doi: 10.1016/s0277-9536(96)00221-3. [DOI] [PubMed] [Google Scholar]
  • 17.The challenge of understanding health care costs and charges. Arora V, Moriates C, Shah N. AMA J Ethics. 2015;17:1046–1052. doi: 10.1001/journalofethics.2015.17.11.stas1-1511. [DOI] [PubMed] [Google Scholar]
  • 18.Variations in decision-making profiles by age and gender: a cluster-analytic approach. Delaney R, Strough J, Parker AM, de Bruin WB. Pers Individ Dif. 2015;85:19–24. doi: 10.1016/j.paid.2015.04.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Access to care: the physician's perspective. Tice A, Ruckle JE, Sultan OS, Kemble S. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3071212/ Hawaii Med J. 2011;70:33–38. [PMC free article] [PubMed] [Google Scholar]
  • 20.Electronic health record: integrating evidence-based information at the point of clinical decision making. Fowler SA, Yaeger LH, Yu F, Doerhoff D, Schoening P, Kelly B. J Med Libr Assoc. 2014;102:52–55. doi: 10.3163/1536-5050.102.1.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Integrated precision medicine: the role of electronic health records in delivering personalized treatment. Sitapati A, Kim H, Berkovich B, et al. Wiley Interdiscip Rev Syst Biol Med. 2017;9 doi: 10.1002/wsbm.1378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22."Nothing works without the doctor:" Physicians' perception of clinical decision-making and artificial intelligence. Samhammer D, Roller R, Hummel P, et al. Front Med (Lausanne) 2022;9:1016366. doi: 10.3389/fmed.2022.1016366. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cureus are provided here courtesy of Cureus Inc.

RESOURCES