Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22013, first published .
Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Journals

  1. Abboud J, Rahman A, Shaikh N, Dempster M, Adair P. Physicians’ perceptions and preferences for implementing venous thromboembolism (VTE) clinical practice guidelines: a qualitative study using the Theoretical Domains Framework (TDF). Archives of Public Health 2022;80(1) View
  2. Bittmann J, Haefeli W, Seidling H. Modulators Influencing Medication Alert Acceptance: An Explorative Review. Applied Clinical Informatics 2022;13(02):468 View
  3. Al-hihi E, Gibson C, Lee J, Mount R, Irani N, McGowan C. Improving appropriate imaging for non-specific low back pain. BMJ Open Quality 2022;11(1):e001539 View
  4. Xie Y, Zhang J, Wang H, Liu P, Liu S, Huo T, Duan Y, Dong Z, Lu L, Ye Z. Applications of Blockchain in the Medical Field: Narrative Review. Journal of Medical Internet Research 2021;23(10):e28613 View
  5. Hom G, Kuo B, Ross J, Chapman G, Sharma N, Sastry R, Muste J, Greenlee T, Conti T, Singh R, Sharma S. Characterization of pentosan polysulfate patients for development of an alert and screening system for ophthalmic monitoring. Canadian Journal of Ophthalmology 2024;59(2):128 View
  6. Chen C, Chen Y, Scholl J, Yang H, Li Y. Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication. Computer Methods and Programs in Biomedicine 2024;243:107869 View
  7. Cánovas-Segura B, Morales A, Juarez J, Campos M. Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework. Journal of Biomedical Informatics 2023;143:104397 View
  8. Tadayon H, Nafari B, Khadem G, Darrudi R, Sadeqi Jabali M. Evaluation of Picture Archiving and Communication System (PACS): Radiologists’ perspective. Informatics in Medicine Unlocked 2023;39:101266 View
  9. Corrente C, Satkumaran S, Segal A, Butters C, Fernandez C, Babl F, Orme L, Thursky K, Haeusler G. Evaluating the accuracy and efficacy of an electronic medical record alert to identify paediatric patients with low-risk febrile neutropenia. International Journal of Medical Informatics 2023;178:105205 View
  10. Hu S, Schmidt-Kraepelin M, Thiebes S, Sunyaev A. Mapping Distributed Ledger Technology Characteristics to Use Cases in Healthcare: A Structured Literature Review. ACM Transactions on Computing for Healthcare 2024;5(3):1 View
  11. Xu Z, Evans L, Song J, Chae S, Davoudi A, Bowles K, McDonald M, Topaz M. Exploring home healthcare clinicians’ needs for using clinical decision support systems for early risk warning. Journal of the American Medical Informatics Association 2024;31(11):2641 View
  12. Chen X, Cao F, Wang Q, Ye Z. 2024 Chinese guideline on the construction and application of medical blockchain. Intelligent Medicine 2024 View