ENABLING HIT AND CARE CLUSTER – PROJECT 19-05161.PSU
Integration of Genomic Data for Precision Health Decision Support
The combination of electronic health record (EHR) data, known information about genetic findings, and core genomic data is key to the evolution of precision medicine. The EHR presentation of combined data can be used to support provider decision making. Genomic data is one source of information that is being generated rapidly as the barriers to genome sequencing are reduced. Data obtained from mapping a patient’s genome can be used to diagnose a specific genetic disease, determine the patient’s risk of developing a disease in the future, or predict the effectiveness of a medication or treatment for the patient. This information, along with other clinical information, will allow healthcare providers to effectively administer treatment to patients on an individual basis in order to improve healthcare outcomes. The objective of this research is to determine methods of identifying relevant genomic data and integrating that data into the clinical workflow with the EMR. Patient attitudes, expectations, and outcomes regarding genetic testing and use of genomic data will also be evaluated.
How is this different from related research?
While there has been a lot of research in genomics in recent years, there has been little investigation into methods that will translate the data that is generated into clinical action using electronic medical records. By considering a patient’s genomic data along with other information included in the EHR, healthcare providers will be able to effectively make decisions regarding patient treatment. There is also a significant opportunity to measure patient attitudes and expectations regarding the use of their genetic data for provider decision making.
- Build a logic model for tests, data, and decision interactions and implications
- Develop a workflow analysis and electronic health record modules that incorporate genomic results into practice
- Recommend guidelines for clinicians to help patients make decisions regarding genomic data