Table 1.
Examples | Strengths | Challenges | |
---|---|---|---|
Omics | Genomics of risk factors Microbiome |
Increased understanding of physiologic processes Aid screening and diagnosis Increased mechanistic understanding |
Limitations of single gene exploration Unknown clinical utility Costs |
Electronic Sensors | Actigraphy | Increased validity of typically behavioral measures Increased understanding of physiologic changes in relationship to behaviors Allow combination of data from multiple sources |
Limited evidence related to outcomes Lack of theoretical underpinning Lack of normal standards Human subjects literacy in use |
Geospatial Data | Geomapping | Increased understanding of health risks related to exposures Ability to identify targets of intervention beyond the individual level |
Data from multiple sources, some of which have “boundaries” that may not map to actual exposure Sophisticated spatial analytic techniques require expertise |