Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record
Lead author Jason Walonoski will discuss this month's JAMIA Journal Club selection:
Walonoski J, Kramer M, Nichols J, et al. Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record. J Am Med Inform Assoc. 2017 Aug 30. doi: 10.1093/jamia/ocx079. [Epub ahead of print]
The MITRE Corporation
Jason Walonoski is a Principal Software Engineer and Associate Department Head at The MITRE Corporation, which operates Federally Funded Research and Development Centers (FFRDC). Jason has a background in Computer Science and Machine Learning, which he has applied to finance, meteorology, defense, and healthcare. He is the Principal Investigator of the Synthea patient simulation and is currently focused on the modeling and simulation of health policy.
- 40-minute discussion between the authors and the JAMIA Student Editorial Board moderators including salient features of the published study and its potential impact on practice.
- 20-minute discussion of questions submitted by listeners via the webinar tools.
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JAMIA Journal Club managers are JAMIA Student Editorial Board members:
Lucy Lu Wang, PhD Candidate, Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA
Thomas Reese, PharmD, Health Science Center, University of Utah School of Medicine, Department of Biomedical Informatics, Salt Lake City, UT
The PubMed citation for the paper under discussion is:
Walonoski J, Kramer M, Nichols J, et al. Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record. J Am Med Inform Assoc. 2017 Aug 30. doi: 10.1093/jamia/ocx079.
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Statement of Purpose
There is a lack of Electronic Health Record (EHR) data that is freely and broadly available for researchers, academia, and industry for secondary use: e.g. explore, analyze, study, develop, etc. Existing data sets are limited by PII/PHI/HIPAA restrictions, or have been Deidentified (which has been shown to be reversible), and in either case usually have high costs and restrictive Data Use Agreements.
This study describes the creation of an open-source research project with the goal of simulating “realistic but not real” synthetic patient data, including the progression and treatment of diseases, that exports complete longitudinal data that are freely available and suitable for a wide variety of secondary uses (clearly, with the exception of clinical discovery).
These data have been used by academics (eg, health informatics courses), industry (eg, standards organizations such as HL7 and communities such as OSEHRA), and others. Further collaborations may make these data increasingly useful to a variety of users.
The target audience for this activity is professionals and students interested in biomedical and health informatics.
After this live activity, the participant should be better able to:
- Utilize synthetic patient data for research or projects where “realistic but not real” data are sufficient for study objectives.
- Appreciate the benefits of synthetic data and how they may be used for non-clinical secondary use.
The MITRE Corporation
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Credit Designation Statement
The American Medical Informatics Association designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)™ Physicians should claim only the credit commensurate with the extent of their participation in the activity.
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Completion of this live activity is demonstrated by:
- Viewing the live webinar
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The physician participant will be able to generate a CME certificate through the AMIA automated system.
For a certificate of completion, contact Pesha@amia.org.
No commercial support was received for this activity.
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The ACCME considers relationships of the person involved in the CME activity to include financial relationships of a spouse or partner.
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Disclosures for this Activity
These faculty, planners, and staff who are in a position to control the content of this activity disclose that they and their life partners have no relevant financial relationships with commercial interests:
JAMIA Journal Club Faculty: Jason Walonoski
JAMIA Journal Club planners: Lucy Lu Wang, Thomas Reese
AMIA staff: Susanne Arnold, Pesha Rubinstein
The following provide their disclosures of relevant financial relationships with commercial interests that have occurred within the previous 12 months:
JAMIA Student Editorial Board Advisor Michael Chiang:
Grants/Research Support: NIH, NSF
Consultant: Novartis; Clarity Medical Systems (unpaid member of Scientific Advisory Board)
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