Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12875, first published .
Developing the National Usability-Focused Health Information System Scale for Physicians: Validation Study

Developing the National Usability-Focused Health Information System Scale for Physicians: Validation Study

Developing the National Usability-Focused Health Information System Scale for Physicians: Validation Study

Journals

  1. Martikainen S, Kaipio J, Lääveri T. End-user participation in health information systems (HIS) development: Physicians' and nurses’ experiences. International Journal of Medical Informatics 2020;137:104117 View
  2. Simon A. Usability of electronic patient record systems: Instrument validation study conducted for hospitals in Germany. Health Informatics Journal 2020;26(3):1969 View
  3. Vainiomäki S, Heponiemi T, Vänskä J, Hyppönen H. Tailoring EHRs for Specific Working Environments Improves Work Well-Being of Physicians. International Journal of Environmental Research and Public Health 2020;17(13):4715 View
  4. Kaipio J, Kuusisto A, Hyppönen H, Heponiemi T, Lääveri T. Physicians’ and nurses’ experiences on EHR usability: Comparison between the professional groups by employment sector and system brand. International Journal of Medical Informatics 2020;134:104018 View
  5. Nissinen S, Leino T, Tarvainen K, Soini S. Occupational health physicians as users of electronic health records. Occupational Medicine 2020;70(9):628 View
  6. Heponiemi T, Kujala S, Vainiomäki S, Vehko T, Lääveri T, Vänskä J, Ketola E, Puttonen S, Hyppönen H. Usability Factors Associated With Physicians’ Distress and Information System–Related Stress: Cross-Sectional Survey. JMIR Medical Informatics 2019;7(4):e13466 View
  7. Kaihlanen A, Gluschkoff K, Hyppönen H, Kaipio J, Puttonen S, Vehko T, Saranto K, Karhe L, Heponiemi T. The Associations of Electronic Health Record Usability and User Age With Stress and Cognitive Failures Among Finnish Registered Nurses: Cross-Sectional Study. JMIR Medical Informatics 2020;8(11):e23623 View
  8. Jauk S, Kramer D, Avian A, Berghold A, Leodolter W, Schulz S. Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. Journal of Medical Systems 2021;45(4) View
  9. Heponiemi T, Kaihlanen A, Gluschkoff K, Saranto K, Nissinen S, Laukka E, Vehko T. The Association Between Using a Mobile Version of an Electronic Health Record and the Well-Being of Nurses: Cross-sectional Survey Study. JMIR Medical Informatics 2021;9(7):e28729 View
  10. Lloyd S, Long K, Oshni Alvandi A, Di Donato J, Probst Y, Roach J, Bain C. A National Survey of EMR Usability: Comparisons between medical and nursing professions in the hospital and primary care sectors in Australia and Finland. International Journal of Medical Informatics 2021;154:104535 View
  11. Salovaara S, Ylönen K. Client information systems’ support for case-based social work: experiences of Finnish social workers. Nordic Social Work Research 2022;12(3):364 View
  12. Viitanen J, Tyllinen M, Tynkkynen E, Lääveri T. Usability of information systems: Experiences of outpatient physicians, outpatient nurses, and open care social welfare professionals from three large cross-sectional surveys in Finland. International Journal of Medical Informatics 2022;165:104836 View
  13. Martikainen S, Salovaara S, Ylönen K, Tynkkynen E, Viitanen J, Tyllinen M, Lääveri T. Social welfare professionals willing to participate in client information system development – Results from a large cross-sectional survey. Informatics for Health and Social Care 2022;47(4):389 View
  14. Ahmad I, Asghar Z, Kumar T, Li G, Manzoor A, Mikhaylov K, Shah S, Hoyhtya M, Reponen J, Huusko J, Harjula E. Emerging Technologies for Next Generation Remote Health Care and Assisted Living. IEEE Access 2022;10:56094 View
  15. Lee S. Measuring Nurses' Experiences With Unintended Adverse Consequences in EMR Use in Acute Care Settings. CIN: Computers, Informatics, Nursing 2021;39(11):747 View
  16. Welchen V, Matte J, Giacomello C, Dalle Molle F, Camargo M. Usability perception of the health information systems in Brazil: the view of hospital health professionals on the electronic health record. RAUSP Management Journal 2022;57(3):264 View
  17. Nwankwo L, McLaren K, Donovan J, Ni Z, Vidal-Diaz A, Loebinger M, Morrisey A, Igra A, Shah A. Utilisation of remote capillary blood testing in an outpatient clinic setting to improve shared decision making and patient and clinician experience: a validation and pilot study. BMJ Open Quality 2021;10(3):e001192 View
  18. Saranto K, Koponen S, Vehko T, Kivekäs E. Nurse Managers' Opinions of Information System Support for Performance Management: A Correlational Study. Methods of Information in Medicine 2023;62(S 01):e63 View
  19. Lloyd S, Long K, Probst Y, Di Donato J, Oshni Alvandi A, Roach J, Bain C. Medical and nursing clinician perspectives on the usability of the hospital electronic medical record: A qualitative analysis. Health Information Management Journal 2024;53(3):189 View
  20. Virtanen L, Kaihlanen A, Saukkonen P, Reponen J, Lääveri T, Vehko T, Saastamoinen P, Viitanen J, Heponiemi T. Associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians: a national representative sample. BMC Medical Informatics and Decision Making 2023;23(1) View
  21. Vasconcelos J, Viana Y, Duarte N, Polese J. Translation and cross-cultural adaptation into Portuguese-Brazil of NuHISS, Enlight, and uMARS. Journal of Bodywork and Movement Therapies 2024;38:437 View
  22. Wilson A, Diaz M, Lehmann C, Maddox K. Electronic Health Record Usability When Caring for Children With Medical Complexity. Hospital Pediatrics 2024;14(3):e156 View
  23. Paatela S, Kyytsönen M, Saranto K, Kinnunen U, Vehko T. Experiences of Electronic Health Records’ and Client Information Systems’ Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46954 View
  24. Nadav J, Kaihlanen A, Kujala S, Keskimäki I, Viitanen J, Salovaara S, Saukkonen P, Vänskä J, Vehko T, Heponiemi T. Factors Contributing to Successful Information System Implementation and Employee Well-being: A Comparative Cross-Sectional Study among Healthcare and Social Welfare Professionals (Preprint). JMIR Medical Informatics 2023 View
  25. Masunzu A, Mazana M. Determinants of Health Information System Usability for Quality Service Delivery: A Case Study of Muhimbili National Hospital (MNH), Tanzania. African Journal of Empirical Research 2024;5(3):1069 View