Uniqueness of medical data mining
Abstract
This article addresses the special features of data mining with medical data. Researchers in other fields may not be aware of the particular constraints and difficulties of the privacy-sensitive, heterogeneous, but voluminous data of medicine. Ethical and legal aspects of medical data mining are discussed, including data ownership, fear of lawsuits, expected benefits, and special administrative issues. The mathematical understanding of estimation and hypothesis formation in medical data may be fundamentally different than those from other data collection activities. Medicine is primarily directed at patient-care activity, and only secondarily as a research resource; almost the only justification for collecting medical data is to benefit the individual patient. Finally, medical data have a special status based upon their applicability to all people; their urgency (including life-or-death); and a moral obligation to be used for beneficial purposes.
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Obtaining and sharing medical data presents a major obstacle due to privacy issues and the sensitive nature of the data.
“However, obtaining and sharing medical data presents a major obstacle due to privacy issues and the sensitive nature of the data.13,14,39”
From Challenges of developing a digital scribe to reduce clinical documentation burden (2019) · cites this paper as [39]
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“In the healthcare setting, privacy, confidentiality, and security are the fundamental issues that must be addressed [24,25].”
BackgroundA dataset of simulated patient-physician medical interviews with a focus on respiratory cases
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- Authors
- Cios, K. J., & William Moore, G.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Cios, Krzysztof J.
- ORCID
- Cios, Krzysztof J.
- Venue
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 26
- Issue
- 1-2
- Pages
- 1-24
- ISSN
- 0933-3657 (ISSN-L)
- OpenAlex
- W2043606064
- Cited by
- 639
- References
- 44
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 15 · 2023: 24 · 2022: 24 · 2021: 30 · 2020: 34 · 2019: 31 · 2018: 35 · 2017: 27 · 2016: 43 · 2015: 55 · 2014: 41 · 2013: 44 · 2012: 45
- FWCI
- 25.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Intelligence in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- medical data mining, privacy, ethical considerations, legal issues, data ownership, litigation risk, patient care, hypothesis generation, data heterogeneity, data volume
- MeSH terms
- Ethics, Medical, Humans, Information Storage and Retrieval, Medical Records Systems, Computerized, Computer Security, Patient-Centered Care
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