Clinical and Health Informatics Roles
The in-demand Master of Science in Clinical & Health Informatics opens doors to exciting new responsibilities and leadership opportunities.
Team members of those in the clinical and health informatics field can include the following.
Clinician/Scientist: Understands the clinical problem and designs research studies to investigate the problem. Obtains funding to complete the work. Needs to know how to apply informatics to investigate the problem (what data is needed, what analyses are needed, etc). Often times physicians/scientists from different domains work together on problems since different areas of expertise are needed (example: in breast cancer research, radiologists might work with pathologists so they can share their clinical knowledge about imaging vs knowledge about pathological diagnosis)
Data Manager: Understands how to access and manipulate the data that is needed to solve the clinical problem. Data Managers work with Physicians/Scientists to understand the clinical problem and works with Statisticians/analysts on what data is needed for the analysis. Data managers can transform the data so it can be easily imported for use in different software systems and algorithms.
Statisticians/Analysts use machine learning and statistics to get results.
Project Manager: Brings the individual team members together. Helpful to have informatics understanding. Informatics discussions can be highly technical so understanding what technical tasks are needed to complete the research work, defining action items and setting target dates helps to complete the project.
- To engage in unconventional collaborations to further discovery; explore new organizational models for team science
- To use more quantitative and visual tools
- To contribute to the reclassification of diseases and complement other research endeavors.
- To work collaboratively with a variety of clinical health colleagues to conduct accountable science that ensures the safety and security of patient data.
- To work closely with team science to leverage statistic expertise
- To work with software tools and harmonize data from different sources to support complex problems from various vantage points.