The event will be both educational and a hands-on development opportunity. In one day at the HIMSS Innovation Center in Cleveland, Ohio:
- Learn from world leading experts, in the emerging FHIR standard such as Graham Grieve, synthetic data development, including Michigan Health Information Network (MiHIN), and patient data matching, from the HIMSS Innovator In Residence, and many more.
- Participate in testing and application development activities relating to patient data matching
Challenges to patient matching include issues such as data quality and data standardization. FHIR, a rapidly emerging standard has the potential to simplify the process of matching by enabling a data agnostic approach to linking data. Furthermore, access to realistic patient data is needed for testing of matching algorithms. One solution is the use of synthetic patient data. Synthetic patient data is computer generated data designed to mimic real world personal health data (PHI). This non-PHI data can be instrumental for both testing of patient matching algorithms and training.