Data from National PCP Survey on GRS
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Clean and de-identified data for the completed 'National Survey of US Primary Care Physicians on Genetic Risk Scores for Common Disease Prevention' (PIs: Benjamin Kerman, MD and Jason Vassy, MD). All HIPAA identifiers removed and certain (e.g. geographic) variables generalized to limit potential for re-identification. A summary and description of de-identification steps as well primary analytic files for PMID: 36807341 and PMID: 36807341 are included with dataset. The study was approved by the Harvard Longwood Campus Institutional Review Board (#IRB20-2098)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Genetic Risk Scores"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Clean and de-identified data for the completed 'National Survey of US Primary Care Physicians on Genetic Risk Scores for Common Disease Prevention' (PIs: Benjamin Kerman, MD and Jason Vassy, MD). All HIPAA identifiers removed and certain (e.g. geographic) variables generalized to limit potential for re-identification. A summary and description of de-identification steps as well primary analytic files for PMID: 36807341 and PMID: 36807341 are included with dataset. The study was approved by the Harvard Longwood Campus Institutional Review Board (#IRB20-2098)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Clean and de-identified data for the completed 'National Survey of US Primary Care Physicians on Genetic Risk Scores for Common Disease Prevention' (PIs: Benjamin Kerman, MD and Jason Vassy, MD). All HIPAA identifiers removed and certain (e.g. geographic) variables generalized to limit potential for re-identification. A summary and description of de-identification steps as well primary analytic files for PMID: 36807341 and PMID: 36807341 are included with dataset. The study was approved by the Harvard Longwood Campus Institutional Review Board (#IRB20-2098)
Genetic Risk Scores