While much of the discussion around “Big Data” and “Real-World Evidence” focuses on large, often national level, health system administrative databases, smaller, local databases can also be an excellent source of information. For example, we will highlight below how information collected in Electronic Medical Records can be used:
Electronic Medical Records (EMR)
Many primary care providers routinely collect data using Electronic Medical Records. This data can be utilized in several ways, including:
- Understanding the patient population (e.g. patient demographics, disease burden)
- Chronic disease management
- Evaluating delivery models and programs
- Creating comparative reports for monitoring and evaluation
- Monitoring and analyzing care delivery
By analyzing, interpreting and reporting this data in a meaningful way, the findings can be used to inform quality improvements and lead to improved outcomes, safety, efficiency and quality of care.
Canadian Primary Care Sentinel Surveillance Network
The Canadian Primary Care Sentinel Surveillance Network is a pan-Canadian multi-disease electronic medical record surveillance system, which collects health information from electronic medical records through participating primary care providers. The CPCSSN focuses on five chronic diseases as well as three neurological conditions:
- Chronic obstructive pulmonary disease (COPD)
- Parkinson’s disease
To learn more about how this data can be used by researchers to improve patient care and the way these these conditions are managed, sign up for our free webinar: “Why Your Local Database is a Big Data Jackpot" on Thursday, September 24th at 12:00pm (MST)!