Digital health: how to govern during a never-ending data tsunami
Open accessAbstract
Few images in nature are more powerful than that of a tsunami. If only humanity were able to harness the energy associated with a tsunami. In the digital world, particularly in healthcare, a data tsunami is upon us—washing across our enterprises. To thrive, not just survive during the data tsunami—which I believe will only increase over time—data producers and data consumers need to develop a practical and pragmatic approach to govern data.
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As EHRs accumulate increasingly large volumes of structured and unstructured data, physicians face additional challenges in finding relevant information, resulting in information overload and further elevating cognitive load.
“As EHRs accumulate increasingly large volumes of structured and unstructured data, physicians face additional challenges in finding relevant information, resulting in information overload and further elevating cognitive load19–21.”
From When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load (2026) · cites this paper as [20]
The paper’s main text describes a growing volume of healthcare data from digital health, devices, and telehealth. It does not specifically say that EHRs are accumulating structured and unstructured data, or that physicians have difficulty finding relevant information and consequently experience information overload or increased cognitive load. (LLM, conf=0.84)
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References 4 · Cited by 4
Research works printed but not linked: 2
- [1]Brous P., Janssen M. & Vilminko-Heikkinen R. Coordinating decision-making in data management activities: a systematic review of data governance principles. (eds Scholl H. et al.) Electronic Government. EGOV 2016. Lecture Notes in Computer Science, Vol 9820. Springer, Cham. 10.1007/978-3-319-44421-5_9 (2016). · DOI
- [2]Pandey, A. K. et al. Key issues in healthcare data integrity: analysis and recommendations. In IEEE Access Vol 8, 40612–40628. 10.1109/ACCESS.2020.2976687 (2020). · DOI
- Authors
- Muntz, D. S.
- Affiliations
- Baylor University (US)
- Corresponding author
- Muntz, David S.
- ORCID
- Muntz, David S.
- Venue
- npj Digital Medicine
- Published
- 2021-08-10
- Volume
- 4
- Issue
- 1
- Pages
- 120-120
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC8355109
- OpenAlex
- W3189430090
- Cited by
- 4
- References
- 4
- Citations by year
- 2026: 2 · 2025: 1 · 2022: 1
- FWCI
- 0.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- data governance, digital health, health data, data management
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