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. 2019 Jul;12(4):329-333.
doi: 10.1111/cts.12638. Epub 2019 May 9.

Clinical Data: Sources and Types, Regulatory Constraints, Applications

Stanley C Ahalt  1 , Christopher G Chute  2 , Karamarie Fecho  1 , Gustavo Glusman  3 , Jennifer Hadlock  3 , Casey Overby Taylor  2 , Emily R Pfaff  4 , Peter N Robinson  5 , Harold Solbrig  2 , Casey Ta  6 , Nicholas Tatonetti  6 , Chunhua Weng  6 ; Biomedical Data Translator Consortium
Affiliations

Clinical Data: Sources and Types, Regulatory Constraints, Applications

Stanley C Ahalt et al. Clin Transl Sci. 2019 Jul.
No abstract available

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Conflict of interest statement

All authors declared no competing interests for this work.

Figures

Figure 1
Figure 1
Example queries, including input parameters and output, for Columbia Open Health Data (COHD) (a) and the Integrated Clinical and Environmental Exposures Service (ICEES) (b). AvgDailyPM2.5Exposure = average daily patient exposure to PM2.5 (μg/m3) over a 1‐year study period; TotalEDInpatient Vists = total number of emergency department or inpatient visits for respiratory issues during a 1‐year study period. The study period shown here is for calendar year 2010. AvgDailyPM2.5Exposure <3 range: 1.58, 9.63 μg/m3; AvgDailyPM2.5Exposure ≥3 range: 9.63, 17.33 μg/m3. ID, identifier; PM2.5, airborne particulate matter ≤2.5 μm in diameter.
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