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

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (588) Electronic Health Records (1067) Clinical Information and Decision Making (1426) Natural Language Processing (704) Standards and Interoperability (77)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26770, first published .
Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Authors of this article:

Amrita De1 Author Orcid Image ;   Ming Huang1 Author Orcid Image ;   Tinghao Feng2 Author Orcid Image ;   Xiaomeng Yue3 Author Orcid Image ;   Lixia Yao1 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

Journals

  1. Huang M, Fan J, Prigge J, Shah N, Costello B, Yao L. Characterizing Patient-Clinician Communication in Secure Medical Messages: Retrospective Study. Journal of Medical Internet Research 2022;24(1):e17273 View
  2. Duda S, Kennedy N, Conway D, Cheng A, Nguyen V, Zayas-Cabán T, Harris P. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. Journal of the American Medical Informatics Association 2022;29(9):1642 View
  3. Davoudi A, Lee N, Luong T, Delaney T, Asch E, Chaiyachati K, Mowery D. Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study. Journal of Medical Internet Research 2022;24(6):e36151 View
  4. Yao L, Ferawati K, Liew K, Wakamiya S, Aramaki E. Disruptions in the Cystic Fibrosis Community’s Experiences and Concerns During the COVID-19 Pandemic: Topic Modeling and Time Series Analysis of Reddit Comments. Journal of Medical Internet Research 2023;25:e45249 View
  5. Huang M, Wen A, He H, Wang L, Liu S, Wang Y, Zong N, Yu Y, Prigge J, Costello B, Shah N, Ting H, Doubeni C, Fan J, Liu H, Patten C. Midwest rural‐urban disparities in use of patient online services for COVID‐19. The Journal of Rural Health 2022;38(4):908 View
  6. Denhere P, Ruhode E, Zhou M. A TOGAF based interoperable health information system needs assessment for practitioner–patient interaction. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2023;89(6) View
  7. Nan J, Xu L. Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review. JMIR Medical Informatics 2023;11:e44842 View
  8. Amar F, April A, Abran A. Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review. Journal of Medical Internet Research 2024;26:e45209 View
  9. Ren Y, Wu Y, Fan J, Khurana A, Fu S, Wu D, Liu H, Huang M. Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. Journal of the American Medical Informatics Association 2024;31(8):1714 View
  10. Tabari P, Costagliola G, De Rosa M, Boeker M. State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review. JMIR Medical Informatics 2024;12:e58445 View
  11. Apathy N, Hicks K, Bocknek L, Zabala G, Adams K, Gomes K, Saggar T. Inbox message prioritization and management approaches in primary care. JAMIA Open 2024;7(4) View
  12. Zia ul Haq M, Hornback A, Harzand A, Gutman D, Gallaher B, Schoenberg E, Zhu Y, Wang M, Anderson B. Graph theoretic visualization of patient and health worker messaging in the EHR. Frontiers in Artificial Intelligence 2024;7 View