Prasad K, Poplau S, Brown R, et al. Time pressure during primary care office visits: a prospective evaluation of data from the healthy work place study. J Gen Intern Med. 2020;35:465–72. https://doi.org/10.1007/s11606-019-05343-6.
Rotenstein LS, Torre M, Ramos MA, et al. Prevalence of Burnout among physicians: a systematic review. JAMA. 2018;320:1131–50. https://doi.org/10.1001/jama.2018.12777.
Shanafelt TD, Boone S, Tan L, et al. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172:1377–85. https://doi.org/10.1001/archinternmed.2012.3199.
Cooper CL, Dewe PJ, O’Driscoll MP. Organizational stress: A review and critique of theory, research, and applications. Thousand Oaks, CA: Sage Publications; 2001.
Arnsten AFT, Shanafelt T. Physician distress and burnout, the neurobiological perspective. Mayo Clin Proc. 2021;96:763–9. https://doi.org/10.1016/j.mayocp.2020.12.027.
Dewa CS, Loong D, Bonato S, et al. The relationship between physician burnout and quality of healthcare in terms of safety and acceptability: a systematic review. BMJ Open. 2017;7: e015141. https://doi.org/10.1136/bmjopen-2016-015141.
Tsiga E, Panagopoulou E, Sevdalis N, et al. The influence of time pressure on adherence to guidelines in primary care: an experimental study. BMJ Open. 2013;3:e002700. https://doi.org/10.1136/bmjopen-2013-002700.
Williams ES, Rathert C, Buttigieg SC. The personal and professional consequences of physician burnout: a systematic review of the literature. Med Care Res Rev MCRR. 2020;77:371–86. https://doi.org/10.1177/1077558719856787.
European Commission, Directorate-General for Employment, Social Affairs and Inclusion, McGrath J. Analysis of shortage and surplus occupations 2020. Publications Office of the European Union; 2020. https://doi.org/10.2767/933528
Eurofound, Wilczynska A, Cabrita J, Parent-Thirion A. Sixth European working conditions survey – Overview report (2017 update). Publications Office of the European Union; 2017. https://doi.org/10.2806/422172
Karasek RA. Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Q. 1979;24:285–308. https://doi.org/10.2307/2392498.
Demerouti E, Bakker AB, Nachreiner F, Schaufeli WB. The job demands-resources model of burnout. J Appl Psychol. 2001;86:499–512. https://doi.org/10.1037/0021-9010.86.3.499.
Eurofound. Telework and ICT-based mobile work: Flexible working in the digital age. Publications Office of the European Union; 2020. https://doi.org/10.2806/337167
Fernemark H, Skagerström J, Seing I, Ericsson C, Nilsen P. Digital consultations in Swedish primary health care: a qualitative study of physicians’ job control, demand and support. BMC Fam Pract. 2020;21:241. https://doi.org/10.1186/s12875-020-01321-8.
European Commission, Directorate-General for Health and Food Safety. Opinion on assessing the impact of digital transformation of health services. Publications Office of the European Union; 2019. https://doi.org/10.2875/09099
World Health Organization. Global strategy on digital health 2020–2025. World Health Organization; 2021. https://apps.who.int/iris/handle/10665/344249. Accessed 9 Nov 2022.
Meskó B, Drobni Z, Bényei É, Gergely B, Győrffy Z. Digital health is a cultural transformation of traditional healthcare. mHealth. 2017;3:38. https://doi.org/10.21037/mhealth.2017.08.07.
World Health Organization. Classification of digital health interventions. World Health Organization; 2018. http://apps.who.int/iris/bitstream/handle/10665/260480/WHO-RHR-18.06-eng.pdf?sequence=1. Accessed 4 Apr 2022.
Ministry of Social Affairs and Health. Information to support well-being and service renewal. eHealth and eSocial Strategy 2020. Ministry of Social Affairs and Health; 2015. http://urn.fi/URN:ISBN:978-952-00-3575-4
Vallo Hult H, Hansson A, Svensson L, Gellerstedt M. Flipped healthcare for better or worse. Health Inform J. 2019;25:587–97. https://doi.org/10.1177/1460458219833099.
Kaihlanen A-M, Laukka E, Nadav J, Närvänen J, Saukkonen P, Koivisto J, et al. The effects of digitalisation on health and social care work: a qualitative descriptive study of the perceptions of professionals and managers. BMC Health Serv Res. 2023;23:714. https://doi.org/10.1186/s12913-023-09730-y.
Sinsky C, Colligan L, Li L, Prgomet M, Reynolds S, Goeders L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165:753–60. https://doi.org/10.7326/M16-0961.
Mann DM, Chen J, Chunara R, Testa PA, Nov O. COVID-19 transforms health care through telemedicine: evidence from the field. J Am Med Inform Assoc JAMIA. 2020;27:1132–5. https://doi.org/10.1093/jamia/ocaa072.
Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. Npj Digit Med. 2020;3:1–10. https://doi.org/10.1038/s41746-020-0221-y.
Day A, Scott N, Kevin Kelloway E. Information and communication technology: Implications for job stress and employee well-being. In New Dev Theor Concept Appr Job Stress. 2010;8:317–50. https://doi.org/10.1108/S1479-3555(2010)0000008011. Bingley: Emerald Group Publishing Limited.
Saukkonen P, Elovainio M, Virtanen L, Kaihlanen A-M, Nadav J, Lääveri T, et al. The interplay of work, digital health usage, and the perceived effects of digitalization on physicians’ work: network analysis approach. J Med Internet Res. 2022;24: e38714. https://doi.org/10.2196/38714.
McBride S, Alexander GL, Baernholdt M, Vugrin M, Epstein B. Scoping review: Positive and negative impact of technology on clinicians. Nurs Outlook. 2023;71:101918. https://doi.org/10.1016/j.outlook.2023.101918.
Heponiemi T, Hyppönen H, Kujala S, Aalto A-M, Vehko T, Vänskä J, et al. Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study. BMC Health Serv Res. 2018;18:284. https://doi.org/10.1186/s12913-018-3094-x.
Heponiemi T, Hyppönen H, Vehko T, Kujala S, Aalto A-M, Vänskä J, et al. Finnish physicians’ stress related to information systems keeps increasing: a longitudinal three-wave survey study. BMC Med Inform Decis Mak. 2017;17:147. https://doi.org/10.1186/s12911-017-0545-y.
Heponiemi T, Kujala S, Vainiomäki S, Vehko T, Lääveri T, Vänskä J, et al. Usability factors associated with physicians’ distress and information system-related stress: cross-sectional survey. JMIR Med Inform. 2019;7:e13466. https://doi.org/10.2196/13466.
Golz C, Peter KA, Zwakhalen SMG, Hahn S. Technostress among health professionals – a multilevel model and group comparisons between settings and professions. Inform Health Soc Care. 2021;46:136–47. https://doi.org/10.1080/17538157.2021.1872579.
Melnick ER, Dyrbye LN, Sinsky CA, Trockel M, West CP, Nedelec L, et al. The association between perceived electronic health record usability and professional burnout among US physicians. Mayo Clin Proc. 2020;95:476–87. https://doi.org/10.1016/j.mayocp.2019.09.024.
Vainiomäki S, Aalto A-M, Lääveri T, Sinervo T, Elovainio M, Mäntyselkä P, et al. Better usability and technical stability could lead to better work-related well-being among physicians. Appl Clin Inform. 2017;8:1057–67. https://doi.org/10.4338/ACI-2017-06-RA-0094.
Weigl M, Beck J, Wehler M, Schneider A. Workflow interruptions and stress atwork: a mixed-methods study among physicians and nurses of a multidisciplinary emergency department. BMJ Open. 2017;7:e019074. https://doi.org/10.1136/bmjopen-2017-019074.
Crampton NH, Reis S, Shachak A. Computers in the clinical encounter: a scoping review and thematic analysis. J Am Med Inform Assoc JAMIA. 2016;23:654–65. https://doi.org/10.1093/jamia/ocv178.
Kilponen K, Huhtala M, Kinnunen U, Mauno S, Feldt T. Illegitimate tasks in health care: Illegitimate task types and associations with occupational well-being. J Clin Nurs. 2021;30:2093–106. https://doi.org/10.1111/jocn.15767.
Moy AJ, Hobensack M, Marshall K, Vawdrey DK, Kim EY, Cato KD, et al. Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments. J Am Med Inform Assoc JAMIA. 2023;30:ocad038. https://doi.org/10.1093/jamia/ocad038.
Poly TN, Islam MM, Yang HC, Chuan Y, Li J. Appropriateness of overridden alerts in computerized physician order entry: systematic review. JMIR Med Inform. 2020;8:15653. https://doi.org/10.2196/15653.
Alkureishi MA, Choo Z-Y, Lenti G, Castaneda J, Zhu M, Nunes K, et al. Clinician perspectives on telemedicine: observational cross-sectional study. JMIR Hum Factors. 2021;8: e29690. https://doi.org/10.2196/29690.
Gomez T, Anaya YB, Shih KJ, Tarn DM. A qualitative study of primary care physicians’ experiences with telemedicine during COVID-19. J Am Board Fam Med. 2021;34:S61-70. https://doi.org/10.3122/jabfm.2021.S1.200517.
Hilty DM, Crawford A, Teshima J, Chan S, Sunderji N, Yellowlees PM, et al. A framework for telepsychiatric training and e-health: Competency-based education, evaluation and implications. Int Rev Psychiatry. 2015;27:569–92. https://doi.org/10.3109/09540261.2015.1091292.
Haverfield MC, Tierney A, Schwartz R, Bass MB, Brown-Johnson C, Zionts DL, et al. Can patient-provider interpersonal interventions achieve the quadruple aim of healthcare? A systematic review. J Gen Intern Med. 2020;35:2107–17. https://doi.org/10.1007/s11606-019-05525-2.
Worley L, Stonnington C. A model for maintaining well-being and preventing burnout for psychiatrists. In: LoboPrabhu S, Summers RF, Moffic HS, editors. Combating Physician Burnout: A Guide for Psychiatrists. Washington, DC: American Psychiatric Association Publishing; 2019. p. 211–32.
Eriksson P, Hammar T, Lagrosen S, Nilsson E. Digital consultation in primary healthcare: the effects on access, efficiency and patient safety based on provider experience; a qualitative study. Scand J Prim Health Care. 2022;40:498–506. https://doi.org/10.1080/02813432.2022.2159200.
Vainiomäki S, Heponiemi T, Vänskä J, Hyppönen H. Tailoring EHRs for specific working environments improves work well-being of physicians. Int J Environ Res Public Health. 2020;17:E4715. https://doi.org/10.3390/ijerph17134715.
Vehko T, Hyppönen H, Ryhänen M, Tuukkanen J, Ketola E, Heponiemi T. Tietojärjestelmät ja työhyvinvointi – terveydenhuollon ammattilaisten näkemyksiä [Information systems and wellbeing at work – views of health care professionals. Finn J EHealth EWelfare. 2018;10:143–63. https://doi.org/10.23996/fjhw.65387.
Babbott S, Manwell LB, Brown R, Montague E, Williams E, Schwartz M, et al. Electronic medical records and physician stress in primary care: results from the MEMO Study. J Am Med Inform Assoc JAMIA. 2014;21:e100-106. https://doi.org/10.1136/amiajnl-2013-001875.
Berg-Beckhoff G, Nielsen G, Ladekjær LE. Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review. Int J Occup Environ Health. 2017;23:160–71. https://doi.org/10.1080/10773525.2018.1436015.
Brady D, Kuiper E. Addressing the challenges of the healthcare workforce: Ensuring the future of health in Europe. Brussels: European Policy Centre; 2023. https://www.epc.eu/content/PDF/2023/CHES_PB.pdf. Accessed 6 Oct 2023.
Keesara S, Jonas A, Schulman K. Covid-19 and health care’s digital revolution. N Engl J Med. 2020;382: e82. https://doi.org/10.1056/NEJMp2005835.
European Commission. Digital Economy and Society Index (DESI) 2021: Finland. European Commission; 2021. https://ec.europa.eu/newsroom/dae/redirection/document/88700. Accessed 8 Aug 2022.
Reponen J, Keränen N, Ruotanen R, Tuovinen T, Haverinen J, Kangas M. Tieto- ja viestintäteknologian käyttö terveydenhuollossa vuonna 2020: Tilanne ja kehityksen suunta [Use of information and communications technology in Finnish health care in 2020. Current situation and trends]. Finnish Institute for Health and Welfare (THL); 2021. https://urn.fi/URN:ISBN:978-952-343-771-5
Haverinen J, Keränen N, Tuovinen T, Ruotanen R, Reponen J. National development and regional differences in ehealth maturity in Finnish public health care: survey study. JMIR Med Inform. 2022;10:e35612. https://doi.org/10.2196/35612.
Kenkimäki H, Keränen N, Haverinen J, Reponen J. EHR-connected specialty specific auxiliary systems in public specialized healthcare 2014–2020. Finn J EHealth EWelfare. 2021;13:237–52. https://doi.org/10.23996/fjhw.107667.
Duodecim. Duodecim’s system that warns physicians about potential mistakes receives notable recognition in Estonia. 2021. https://www.duodecim.fi/english/2021/01/29/duodecims-system-that-warns-physicians-about-potential-mistakes-receives-notable-recognition-in-estonia/. Accessed 10 Sep 2022.
Sotkanet. Vacant physicians’ positions at municipal health centres (shortage of doctors) as a percentage of the total number of positions for physicians at municipal health centres, %. Finnish Institute for Health and Welfare (THL); 2023. https://sotkanet.fi/sotkanet/en/index? (Shortage of doctors, Hospital district).
Finnish Medical Association. Physicians 2019. Finnish Medical Association; 2019. https://www.laakariliitto.fi/site/assets/files/5256/sll_taskutilasto_en_220620.pdf. Accessed 6 Mar 2022.
Keskimäki I, Tynkkynen L-K, Reissell E, Koivusalo M, Syrjä V, Vuorenkoski L, et al. Finland: Health System Review 2019. 2019;21:196. https://iris.who.int/handle/10665/327538. Accessed 6 Mar 2022.
Finnish Institute for Health and Welfare. Information management in social welfare and health care. 2022. https://thl.fi/en/web/information-management-in-social-welfare-and-health-care. Accessed 21 Aug 2022.
Vehko T. E-health and e-welfare of Finland: Check Point 2022. Finnish Institute for Health and Welfare (THL); 2022. https://urn.fi/URN:ISBN:978-952-343-891-0
Finnish Medical Association. Electronic health record systems as a tool for physicians 2021 (Questionnaire). 2021. https://www.laakariliitto.fi/site/assets/files/5229/electronic_health_record_systems_as_tool_for_physicians_2021_questionnaire.pdf. Accessed 27 Aug 2022.
Viitanen J, Hyppönen H, Lääveri T, Vänskä J, Reponen J, Winblad I. National questionnaire study on clinical ICT systems proofs: physicians suffer from poor usability. Int J Med Inf. 2011;80:708–25. https://doi.org/10.1016/j.ijmedinf.2011.06.010.
Hyppönen H, Kaipio J, Heponiemi T, Lääveri T, Aalto A-M, Vänskä J, et al. Developing the national usability-focused health information system scale for physicians: validation study. J Med Internet Res. 2019;21:e12875. https://doi.org/10.2196/12875.
Finnish National Board on Research Integrity. The ethical principles of research with human participants and ethical review in the human sciences in Finland: Finnish National Board on Research Integrity TENK guidelines 2019. Finnish National Board on Research Integrity; 2019. https://tenk.fi/sites/default/files/2021-01/Ethical_review_in_human_sciences_2020.pdf. Accessed 12 Apr 2022.
Harris PE. The nurse stress index. Work Stress. 1989;3:335–46. https://doi.org/10.1080/02678378908256952.
Kivimäki M, Lindström K. Työstressi ja hyvinvointi hoitoalalla: kyselylomakkeiden kehittely [Job stress and well-being of care providers: development of a standardized survey instrument]. Hoitotiede. 1992;4:115–24.
Elo A-L, Leppänen A, Jahkola A. Validity of a single-item measure of stress symptoms. Scand J Work Environ Health. 2003;29:444–51. https://doi.org/10.5271/sjweh.752.
Financial Supervisory Authority. Työttömyyskassat: Tilastot kassoittain 2019 (excel) [Unemployment funds: Statistics by funds 2019 (excel)]; 2020. https://www.finanssivalvonta.fi/tilastot/vakuutus/tyottomyysvakuutus/. Accessed 26 Feb 2022.
IBM Corporation. Manual: IBM SPSS Missing Values 28. 2021. https://www.ibm.com/docs/en/SSLVMB_28.0.0/pdf/IBM_SPSS_Missing_Values.pdf. Accessed 26 Feb 2022.
van Ginkel JR, Linting M, Rippe RCA, van der Voort A. Rebutting existing misconceptions about multiple imputation as a method for handling missing data. J Pers Assess. 2020;102:297–308. https://doi.org/10.1080/00223891.2018.1530680.
Rubin DB. Multiple Imputation for Nonresponse in Surveys. Hoboken, NJ: John Wiley & Sons; 1987.
Harrell FE. Multivariable Modeling Strategies. In: Harrell FE, editor. Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Cham: Springer International Publishing; 2015. p. 63–102.
Hoff T, Lee DR. Burnout and physician gender: what do we know? Med Care. 2021;59:711–20. https://doi.org/10.1097/MLR.0000000000001584.
Heponiemi T, Gluschkoff K, Vehko T, Kaihlanen A-M, Saranto K, Nissinen S, et al. Electronic health record implementations and insufficient training endanger nurses’ well-being: cross-sectional survey study. J Med Internet Res. 2021;23:e27096. https://doi.org/10.2196/27096.
Maldonado G, Greenland S. Simulation study of confounder-selection strategies. Am J Epidemiol. 1993;138:923–36. https://doi.org/10.1093/oxfordjournals.aje.a116813.
Kirkwood BR, Sterne JAC. Essential Medical Statistics. Hoboken, UK: John Wiley & Sons; 2003.
Virtanen L, Kaihlanen A-M, Laukka E, Gluschkoff K, Heponiemi T. Behavior change techniques to promote healthcare professionals’ eHealth competency: a systematic review of interventions. Int J Med Inf. 2021;149:104432. https://doi.org/10.1016/j.ijmedinf.2021.104432.
Stadin M, Nordin M, Broström A, Magnusson Hanson LL, Westerlund H, Fransson EI. Information and communication technology demands at work: the association with job strain, effort-reward imbalance and self-rated health in different socio-economic strata. Int Arch Occup Environ Health. 2016;89:1049–58. https://doi.org/10.1007/s00420-016-1140-8.
Ragu-Nathan TS, Tarafdar M, Ragu-Nathan BS, Tu Q. The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf Syst Res. 2008;19:417–33. https://doi.org/10.1287/isre.1070.0165.
Embi PJ, Leonard AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform Assoc JAMIA. 2012;19:e145-148. https://doi.org/10.1136/amiajnl-2011-000743.
Bu F, Fancourt D. How is patient activation related to healthcare service utilisation? Evidence from electronic patient records in England. BMC Health Serv Res. 2021;21:1196. https://doi.org/10.1186/s12913-021-07115-7.
Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff (Millwood). 2015;34:431–7. https://doi.org/10.1377/hlthaff.2014.0452.
Delbanco T, Walker J, Bell SK, Darer JD, Elmore JG, Farag N, et al. Inviting patients to read their doctors’ notes: a quasi-experimental study and a look ahead. Ann Intern Med. 2012;157:461–70. https://doi.org/10.7326/0003-4819-157-7-201210020-00002.
Fiske A, Buyx A, Prainsack B. The double-edged sword of digital self-care: Physician perspectives from Northern Germany. Soc Sci Med. 2020;260: 113174. https://doi.org/10.1016/j.socscimed.2020.113174.
Glock H, Milos Nymberg V, Borgström Bolmsjö B, Holm J, Calling S, Wolff M, et al. Attitudes, barriers, and concerns regarding telemedicine among Swedish primary care physicians: a qualitative study. Int J Gen Med. 2021;14:9237–46. https://doi.org/10.2147/IJGM.S334782.
Silven AV, van Peet PG, Boers SN, Tabak M, de Groot A, Hendriks D, et al. Clarifying responsibility: professional digital health in the doctor-patient relationship, recommendations for physicians based on a multi-stakeholder dialogue in the Netherlands. BMC Health Serv Res. 2022;22:129. https://doi.org/10.1186/s12913-021-07316-0.
Haverinen J, Turpeinen M, Falkenbach P, Reponen J. Implementation of a new Digi-HTA process for digital health technologies in Finland. Int J Technol Assess Health Care. 2022;38:e68. https://doi.org/10.1017/S0266462322000502.
Hujala A, Taskinen H, Oksman E, Kuronen R, Karttunen A, Lammintakanen J. Sote-ammattilaisten monialainen yhteistyö: Paljon palveluja tarvitsevat asiakkaat etusijalle [A multiprofessional collaboration of health and social care professionals: Prioritising customers with high need of services]. Yhteiskuntapolitiikka. 2019;84:5–6. https://urn.fi/URN:NBN:fi-fe2019112744444
Barr N, Vania D, Randall G, Mulvale G. Impact of information and communication technology on interprofessional collaboration for chronic disease management: a systematic review. J Health Serv Res Policy. 2017;22:250–7. https://doi.org/10.1177/1355819617714292.
Rawlinson C, Carron T, Cohidon C, Arditi C, Hong QN, Pluye P, et al. An overview of reviews on interprofessional collaboration in primary care: barriers and facilitators. Int J Integr Care. 2021;21:32. https://doi.org/10.5334/ijic.5589.
Reeves S, Freeth D. New forms of technology, new forms of collaboration? In: Leathard A, editor. Interprofessional Collaboration. Hove: Routledge; 2003. p. 79–92.
van Huizen LS, Dijkstra PU, van der Werf S, Ahaus K, Roodenburg JL. Benefits and drawbacks of videoconferencing for collaborating multidisciplinary teams in regional oncology networks: a scoping review. BMJ Open. 2021;11:e050139. https://doi.org/10.1136/bmjopen-2021-050139.
Soukup T, Lamb BW, Arora S, Darzi A, Sevdalis N, Green JS. Successful strategies in implementing a multidisciplinary team working in the care of patients with cancer: an overview and synthesis of the available literature. J Multidiscip Healthc. 2018;11:49–61. https://doi.org/10.2147/JMDH.S117945.
Sharma R, Nachum S, Davidson KW, Nochomovitz M. It’s not just FaceTime: core competencies for the medical virtualist. Int J Emerg Med. 2019;12:8. https://doi.org/10.1186/s12245-019-0226-y.
Jidkov L, Alexander M, Bark P, Williams JG, Kay J, Taylor P, et al. Health informatics competencies in postgraduate medical education and training in the UK: a mixed methods study. BMJ Open. 2019;9:e025460. https://doi.org/10.1136/bmjopen-2018-025460.
Veikkolainen P, Tuovinen T, Jarva E, Tuomikoski A-M, Männistö M, Pääkkönen J, et al. eHealth competence building for future doctors and nurses – Attitudes and capabilities. Int J Med Inf. 2023;169:104912. https://doi.org/10.1016/j.ijmedinf.2022.104912.
University of Oulu. Etälääkäritoiminnan koulutus [Telemedicine training]. 2021. https://www.oulu.fi/fi/yliopisto/tiedekunnat-ja-yksikot/laaketieteellinen-tiedekunta/etalaakaritoiminnan-koulutus. Accessed 2 Mar 2023.
Foadi N, Varghese J. Digital competence – a key competence for todays and future physicians. J Eur CME. 2022;11:2015200. https://doi.org/10.1080/21614083.2021.2015200.
Pitre C, Pettit K, Ladd L, Chisholm C, Welch JL. Physician Time Management. MedEdPORTAL J Teach Learn Resour. 2018;14:10681. https://doi.org/10.15766/mep_2374-8265.10681.
Miles S, Kellett J, Leinster SJ. Medical graduates’ preparedness to practice: a comparison of undergraduate medical school training. BMC Med Educ. 2017;17:33. https://doi.org/10.1186/s12909-017-0859-6.
Holmgren AJ, Lindeman B, Ford EW. Resident physician experience and duration of electronic health record use. Appl Clin Inform. 2021;12:721–8. https://doi.org/10.1055/s-0041-1732403.
Wu A, Parris RS, Scarella TM, Tibbles CD, Torous J, Hill KP. What gets resident physicians stressed and how would they prefer to be supported? A best–worst scaling study. Postgrad Med J. 2022;98(1166):930–5. https://doi.org/10.1136/postgradmedj-2021-140719.
Wong CJ, Nath JB, Pincavage AT, Bird A, Oyler JL, Gill K, et al. Telehealth attitudes, training, and preparedness among first-year internal medicine residents in the COVID-19 era. Telemed E-Health. 2022;28:240–7. https://doi.org/10.1089/tmj.2021.0005.
Cunningham CT, Quan H, Hemmelgarn B, Noseworthy T, Beck CA, Dixon E, et al. Exploring physician specialist response rates to web-based surveys. BMC Med Res Methodol. 2015;15:32. https://doi.org/10.1186/s12874-015-0016-z.
Finnish Institute for Health and Welfare. Electronic health records as professionals’ tools. 2022. https://sampo.thl.fi/pivot/prod/en/steps2/laakari/summary_tiiviste6. Accessed 21 Aug 2022.
Add Comment