Arcadia Healthcare Solutions, an EHR data aggregation and analytics service provider, is using the patient information in its database to study population trends.
The Burlington, Mass.-based company used the system to survey trends in diabetes, the average day of a physician, utilization trends and to compare claims to EHR data. Using existing medical data to conduct clinical research studies through an analytics system can give researchers a much broader picture than a randomized trial with physical participants, according to the news release.
To study diabetes, the system drew records over a 12-year window from nearly 2.2 million patients, finding that 180,481, or approximately 8.2 percent, were at some point diagnosed with diabetes. However, another 24,626 were predicted as high-risk, and more than half those were eventually diagnosed with the condition. Thus, the system was able to predict diabetes incidence, according to a news release.
The survey found that among the 10,000 physicians studied, the average physician saw 24 patients and clicked 2,541 times in the EHR throughout the day. EHR data is available in real-time and is rich in clinical content while claims data tends to be delayed and short on detail, the study observed, highlighting the need for analysis of both EHR and claims datasets to provide a full picture of populations' healthcare histories.
Arcadia will display the infographic versions of its new benchmark functionality with use cases at the HIMSS15 Annual Conference & Exhibition in Chicago.