Data Transformation & Health Information Technology
Data collection and transformation refers to the process of gathering data from research and clinical practice and transforming it into useable measures of both process and outcomes. Only through measurement of outcomes can the quality improvement process be gauged.
The center strives to provide transparency in all aspects of the quality improvement process. Data transformation achieves this by providing a means to measure practice variation, feed variance back to peer groups and demonstrate change through rapid cycle improvement and long-term infrastructure improvement.
Data Transformation also involves aggregation of data from multiple sources for consolidating and archiving and data sharing for the purpose of health services research and national benchmarking.
Data collection is done in part with the aid of the newly implemented Health Information Technology tool of Epic, our electronic medical record system.
The Evidence Based Outcomes Center has been instrumental in the incorporation of evidence based order sets into the Epic system. EBOC has provided the support to translate best practice care pathways into clinical decision support tools.
The center hosts faculty forums to discuss the needs of the institution in regard to health information technology, data collection and analysis, data reporting and transformation into meaningful use.
Please view our calendar for upcoming events.