This paper is in the following e-collection/theme issue:

Usability of Apps and User Perceptions of mHealth (974) Adoption and Change Management of eHealth Systems (712) Imaging Informatics (193) mHealth in a Clinical Setting (615) Digital Photography and Imaging in Dermatology (32) Pressure Ulcers and Decubitus Wounds (25)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20203, first published .
Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study

Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study

Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study

Authors of this article:

Christine Jacob1, 2 Author Orcid Image ;   Antonio Sanchez-Vazquez3 Author Orcid Image ;   Chris Ivory3 Author Orcid Image
Article Authors Cited by (20) Tweetations (28) Metrics

Journals

  1. Schobel J, Volz M, Hörner K, Kuhn P, Jobst F, Schwab J, Ikonomi N, Werle S, Fürstberger A, Hoenig K, Kestler H. Supporting Medical Staff from Psycho-Oncology with Smart Mobile Devices: Insights into the Development Process and First Results. International Journal of Environmental Research and Public Health 2021;18(10):5092 View
  2. Schwab J, Schobel J, Werle S, Furstberger A, Ikonomi N, Szekely R, Thiam P, Huhne R, Jahn N, Schuler R, Kuhn P, Holderried M, Steger F, Reichert M, Kaisers U, Kestler A, Seufferlein T, Kestler H. Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 2021;9:83863 View
  3. Schollemann F, Kunczik J, Dohmeier H, Pereira C, Follmann A, Czaplik M. Infection Probability Index: Implementation of an Automated Chronic Wound Infection Marker. Journal of Clinical Medicine 2021;11(1):169 View
  4. Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter M. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143 View
  5. Schulte A, Ricci L, Melville J, Brown J. Emerging Trends in Smartphone Photo Documentation of Child Physical Abuse. Pediatric Emergency Care 2022;38(9):464 View
  6. Garavand A, Aslani N, Nadri H, Abedini S, Dehghan S. Acceptance of telemedicine technology among physicians: A systematic review. Informatics in Medicine Unlocked 2022;30:100943 View
  7. Eapen B, Kaliyadan F, Ashique K. DICODerma: A Practical Approach for Metadata Management of Images in Dermatology. Journal of Digital Imaging 2022;35(5):1231 View
  8. Tempo J, Mondschein R, Ischia J, Papa N, Perera M, Bolton D. Clinical photography on personal mobile devices: a perspective on the issues facing surgeons. ANZ Journal of Surgery 2022;92(10):2420 View
  9. Wongvibulsin S, Feterik K. Recommendations for Better Adoption of Medical Photography as a Clinical Tool. Interactive Journal of Medical Research 2022;11(2):e36102 View
  10. Kidenda S, Muchai R, Green L, McHale T, Mishori R, Nelson B, Alipour J. Evaluating the effectiveness of a mobile application to improve the quality, collection, and usability of forensic documentation of sexual violence. PLOS ONE 2022;17(12):e0278312 View
  11. González-Pérez A, Matey-Sanz M, Granell C, Díaz-Sanahuja L, Bretón-López J, Casteleyn S. AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health. Journal of Biomedical Informatics 2023;141:104359 View
  12. Jiang S, Xiong M, Rao X, Liang J, Zhu X, Fu H, Chen J, Wang C. Medical Personnel Behavior Preferences for Providing mHealth Service in China: A Discrete Choice Experiment. Risk Management and Healthcare Policy 2023;Volume 16:2405 View
  13. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  14. Balasubramani M, Sung C, Hsieh M, Huang E, Shieh J, Abbod M. Automated Left Ventricle Segmentation in Echocardiography Using YOLO: A Deep Learning Approach for Enhanced Cardiac Function Assessment. Electronics 2024;13(13):2587 View
  15. Meidani Z, Omidvar A, Akbari H, Asghari F, Khajouei R, Nazemi Z, Nabovati E, Holl F. Evaluating the Usability and Quality of a Clinical Mobile App for Assisting Physicians in Head Computed Tomography Scan Ordering: Mixed Methods Study. JMIR Human Factors 2024;11:e55790 View
  16. Lai E, Slavik E, Ganim B, Perry L, Treuting C, Dee T, Osborne M, Presley C, Towbin A. Implementing a Photodocumentation Program. Journal of Imaging Informatics in Medicine 2024 View
  17. Lurtz J, Sauter T, Jacob C. Factors impacting the adoption and potential reimbursement of a virtual reality tool for pain management in Switzerland: qualitative case study (Preprint). JMIR Human Factors 2024 View
  18. Pervez F, Shoukat M, Suresh V, Farooq M, Sandhu M, Qayyum A, Usama M, Girardi A, Latif S, Qadir J. Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare. IEEE Open Journal of the Computer Society 2024;5:491 View
  19. Bernabe M, Ebardo R. Barriers Leading to the Discontinuance of Telemedicine among Healthcare Providers: A Systematic Review. Data and Metadata 2025;4:440 View

Books/Policy Documents

  1. Gaspar M, Sharp J, Nayyar G, Siarri D. Nursing Informatics. View