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Personalized medicine for chronic, complex diseases: chronic obstructive pulmonary disease as an example
Josiah E Radder1, Steven D Shapiro1,2, Annerose Berndt1,2
1Division of Pulmonary, Allergy & Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Personalized Medicine
|May 17, 2018
Summary
Personalized medicine for chronic diseases requires better patient categorization using electronic health records and genetic data. This approach will enable clinical decision support for tailored treatments, improving healthcare outcomes.
Area of Science:
- Biomedical Informatics
- Genomics
- Clinical Decision Support
Background:
- Chronic diseases dominate US healthcare utilization and spending.
- Current therapeutics lack personalization for disease heterogeneity.
- Need for advanced methods to manage complex chronic conditions.
Purpose of the Study:
- To outline a framework for personalized chronic disease management.
- To highlight the role of data analytics and genomics in precision medicine.
- To emphasize the integration of clinical decision support systems.
Main Methods:
- Retrospective analysis of electronic health record (EHR) data for phenotype identification.
- Application of next-generation sequencing (NGS) for genetic variant discovery.
- Implementation of data warehousing for secure data integration and analysis.
- Development of clinical decision support (CDS) tools for actionable insights.
Main Results:
- Improved patient categorization based on detailed phenotyping.
- Enhanced understanding of genetic underpinnings of chronic diseases.
- Establishment of a data infrastructure for large-scale biomedical data.
- Facilitation of clinically actionable recommendations for physicians.
Conclusions:
- Personalized medicine approaches are crucial for managing chronic diseases.
- Integrating EHR data, genomics, and CDS can drive precision healthcare.
- Data-driven strategies are essential for advancing chronic disease therapeutics.
Keywords:
chronic obstructive pulmonary diseaseclinical decision-support systemelectronic health recordenterprise data warehousenext-generation sequencingphenotypingpulmonaryMore Related Videos
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