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

mHealth in a Clinical Setting (676) Evaluation and Research Methodology for mHealth (219) Adoption and Change Management of eHealth Systems (796) Knowledge Translation and Implementation Science (440) Design of Processes and Workflows (137)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18534, first published .
Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study

Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study

Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study

Authors of this article:

Stephanie Staras1, 2 Author Orcid Image ;   Justin S Tauscher3 Author Orcid Image ;   Natalie Rich1, 4 Author Orcid Image ;   Esaa Samarah1, 2, 5 Author Orcid Image ;   Lindsay A Thompson1, 2, 6 Author Orcid Image ;   Michelle M Vinson7 Author Orcid Image ;   Michael J Muszynski7 Author Orcid Image ;   Elizabeth A Shenkman1, 2 Author Orcid Image
Article Authors Cited by (17) Tweetations (3) Metrics

Journals

  1. Chagani J, Li D, Keating B, Chasen M. Experiences and Lessons Learned from Implementing the RELIEF Digital Symptom Self-Reporting App in a Palliative Home Care Setting. Current Oncology 2022;29(12):9401 View
  2. Wu D, Barrick L, Ozkaynak M, Blondon K, Zheng K. Principles for Designing and Developing a Workflow Monitoring Tool to Enable and Enhance Clinical Workflow Automation. Applied Clinical Informatics 2022;13(01):132 View
  3. Delaforce A, Li J, Grujovski M, Parkinson J, Richards P, Fahy M, Good N, Jayasena R. Creating an Implementation Enhancement Plan for a Digital Patient Fall Prevention Platform Using the CFIR-ERIC Approach: A Qualitative Study. International Journal of Environmental Research and Public Health 2023;20(5):3794 View
  4. Schaaf J, Weber T, von Wagner M, Stephan C, Carney J, Köhler S, Voigt A, Noll R, Storf H, Müller A. Interviews with HIV Experts for Development of a Mobile Health Application in HIV Care—A Qualitative Study. Healthcare 2023;11(15):2180 View
  5. LeLaurin J, De La Cruz J, Theis R, Thompson L, Lee J, Shenkman E, Salloum R. Pediatric primary care provider and staff perspectives on the implementation of electronic health record-based social needs interventions: A mixed-methods study. Journal of Clinical and Translational Science 2023;7(1) View
  6. Allan L, Beilei L, Cameron J, Olaiya M, Silvera-Tawil D, Adcock A, English C, Gall S, Cadilhac D. A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice. Stroke 2023;54(11):2935 View
  7. Grover A, Bhargava B, Srivastava S, Sharma L, Cherian J, Tandon N, Chandershekhar S, Ofrin R, Bekedam H, Pandhi D, Mukherjee A, Dhaliwal R, Singh M, Rajshekhar K, Roy S, Rasaily R, Saraf D, Kumar D, Parmar N, Kabra S, Chaudhry D, Deorari A, Tandon R, Singh R, Khaitan B, Agrawala S, Gupta S, Goel S, Bhansali A, Dutta U, Seth T, Singh N, Awasthi S, Seth A, Pandian J, Jha V, Dwivedi S, Tripathi R, Thakar A, Jindal S, Gangadhar B, Bajaj A, Kant M, Chatterjee A. Developing Standard Treatment Workflows—way to universal healthcare in India. Frontiers in Public Health 2023;11 View
  8. Ahlness E, Orlander J, Brunner J, Cutrona S, Kim B, Molloy-Paolillo B, Rinne S, Rucci J, Sayre G, Anderson E. “Everything’s so Role-Specific”: VA Employee Perspectives’ on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities. Journal of General Internal Medicine 2023;38(S4):991 View
  9. Funes Hernandez M, Babakhanian M, Chen T, Sarraju A, Seninger C, Ravi V, Azizi Z, Tooley J, Chang T, Lu Y, Downing N, Rodriguez F, Li R, Sandhu A, Turakhia M, Bhalla V, Wang P. Design and Implementation of an Electronic Health Record‐Integrated Hypertension Management Application. Journal of the American Heart Association 2024;13(2) View
  10. Staras S, Tauscher J, Vinson M, Thompson L, Gerend M, Shenkman E. Usability of a Web-Based App for Increasing Adolescent Vaccination in Primary Care Settings: Think-Aloud and Survey Assessment. JMIR Formative Research 2024;8:e56559 View
  11. Zhao Y, Wang X, Peng X, Li Z, Nan F, Zhou M, Qi J, Yang Y, Zhao Z, Xu L, Yang P. Selecting and Evaluating Key MDS-UPDRS Activities Using Wearable Devices for Parkinson's Disease Self-Assessment. IEEE Journal of Selected Areas in Sensors 2024;1:177 View
  12. Allan L, Silvera-Tawil D, Cameron J, Li J, Varnfield M, Smallbon V, Bomke J, Olaiya M, Lannin N, Cadilhac D. Novel Multicomponent Digital Care Assistant and Support Program for People After Stroke or Transient Ischaemic Attack: A Pilot Feasibility Study. Sensors 2024;24(22):7253 View
  13. Mitchell S, Gryczynski J, Worley D, Asche S, Truitt A, Rindal D. Barriers to dental providers’ use of a clinical decision support tool for pain management following tooth extractions. Implementation Research and Practice 2025;6 View
  14. Youn S, Schuler K, Sah P, Jaso-Yim B, Pennine M, O’Dea H, Eyllon M, Barnes J, Murillo L, Orth L, Hoyler G, Nordberg S. Scaling out a Digital-First Behavioral Health Care Model to Primary Care. Administration and Policy in Mental Health and Mental Health Services Research 2025 View
  15. Jayeoba M, Scherr C, Carroll A, Daly E, Kerstiens S, Phillips S, Hitsman B, Garcia S, Spring B, Jacobs M. Low Burden Electronic Health Record (EHR) Strategies for Engaging Oncologists in Digital Health Behavior Change Interventions: A Qualitative Study. (Preprint). Journal of Medical Internet Research 2024 View
  16. Xiong S, Culhane-Pera K, Desai J, Khang T, Torres M, Vue B, Wilhelm A. Hmong Promoting Vaccines eHealth website: a community-based participatory research pilot to evaluate dissemination and implementation strategies for primary care and educational contexts. Implementation Science Communications 2025;6(1) View

Conference Proceedings

  1. Wu D, Shu D, Le K, Abbu R, Zheng K. 2022 Workshop on Visual Analytics in Healthcare (VAHC). Applying Visual Analytics to Develop a Clinical Workflow Analysis Tool (CWAT) to Explore Time and Motion Data in Healthcare View