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

Blockchain, Distributed Ledger Apps for Health and Medicine (85) Clinical Information and Decision Making (1426) Safety and Error Prevention in Health (206) Decision Support for Health Professionals (1203)

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)

Authors of this article:

Paul Kengfai Wan1 Author Orcid Image ;   Abylay Satybaldy2 Author Orcid Image ;   Lizhen Huang1 Author Orcid Image ;   Halvor Holtskog3 Author Orcid Image ;   Mariusz Nowostawski2 Author Orcid Image
Article Authors Cited by (14) Tweetations (8) Metrics

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  2. Bittmann J, Haefeli W, Seidling H. Modulators Influencing Medication Alert Acceptance: An Explorative Review. Applied Clinical Informatics 2022;13(02):468 View
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  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
  13. Nguyen K, Jacobs S, Tasnim N, Knorr J. Evaluation of a clinical decision support alert to identify hepatic dysfunction and need for medication therapy adjustment in hospitalized patients. American Journal of Health-System Pharmacy 2024 View