A Review of the Challenges of Using Biomedical Big Data for Economic Evaluations of Precision Medicine

There is potential value in incorporating biomedical big data (BBD)—observational real-world patient-level genomic and clinical data in multiple sub-populations—into economic evaluations of precision medicine. However, health economists face practical and methodological challenges when using BBD in...

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Veröffentlicht in:Applied Health Economics and Health Policy Jg. 17; H. 4; S. 443 - 452
Hauptverfasser: Fahr, Patrick, Buchanan, James, Wordsworth, Sarah
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer Science and Business Media LLC 01.08.2019
Springer International Publishing
Springer Nature B.V
Schlagworte:
Access
Big Data
Biomedicine
Cancer
Challenges
Connectedness
Cost analysis
Cost-Benefit Analysis
Cost-Benefit Analysis - economics
Data analysis
Data management
Data quality
Dissemination
Economics
Economists
Electronic health records
Genomics
Health
Health Administration
Health care expenditures
Health Economics
Literature reviews
Medical research
Medical Subject Headings-MeSH
Medicine
Medicine & Public Health
Methodological problems
Missing data
Pharmacoeconomics and Health Outcomes
Precision Medicine
Precision Medicine - economics
Public Health
Quality of Life Research
Review
Review Article
Technology Assessment, Biomedical
Technology Assessment, Biomedical - economics
United Kingdom > UK
ISSN:1175-5652, 1179-1896, 1179-1896
Online-Zugang:Volltext
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Zusammenfassung:There is potential value in incorporating biomedical big data (BBD)—observational real-world patient-level genomic and clinical data in multiple sub-populations—into economic evaluations of precision medicine. However, health economists face practical and methodological challenges when using BBD in this context. We conducted a literature review to identify and summarise these challenges. Relevant articles were identified in MEDLINE, EMBASE, EconLit, University of York Centre for Reviews and Dissemination and Cochrane Library from 2000 to 2018. Articles were included if they studied issues relevant to the interconnectedness of biomedical big data, precision medicine, and health economic evaluation. Nineteen articles were included in the review. Challenges identified related to data management, data quality and data analysis. The availability of large volumes of data from multiple sources, the need to conduct data linkages within an environment of opaque data access and sharing procedures, and other data management challenges are primarily practical and may not be long-term obstacles if procedures for data sharing and access are improved. However, the existence of missing data across linked datasets, the need to accommodate dynamic data, and other data quality and analysis challenges may require an evolution in economic evaluation methods. Health economists face challenges when using BBD in economic evaluations of technologies that facilitate precision medicine. Potential solutions to some of these challenges do, however, exist. Going forward, health economists who present work that uses BBD should document challenges and the solutions they have applied to the challenges to support future researcher endeavours.
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ISSN:1175-5652
1179-1896
1179-1896
DOI:10.1007/s40258-019-00474-7