Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.8 released earlier this week. The release is available immediately and includes two new reports; the Trend and Variance Summary report and the Injectable Drug Place of Service Savings report.
Objective: A customer wanted to find out why two facilities in the same area had such a difference in emergency room visit cost.
Health organizations across the United States have jumped onto the population health management bandwagon striving to provide efficient care management services while lowering plan members’ health risks and costs. The desire to identify members with modifiable risks — while aligning care management services to fit the population’s needs — is pushing healthcare organizations toward advanced data management platforms, migrating to data-supported care management programs. Deerwalk’s integrated[...]
Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.7 released earlier this week. The release is available immediately and includes a new Trend Analysis report that is a collection of three charts that forecast paid/allowed claim amounts; incurred but not reported (IBNR) claims, and medical risk trend using the Milliman MARA predictive modeling scores:
Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.6 released earlier this week. With 7.6, the application will now report age and gender adjusted benchmark values to give customers higher quality comparisons of patient populations and provider performance.
Recent polls by GE and Accenture show that big data analytics is a priority for almost 90% of organizations within healthcare. Data is an essential tool for market participants that want to increase share while improving the quality of customer deliverables. And, in the not too distant future, healthcare providers and stakeholders that implement an analytics strategy will excel in clinical quality and prevention of operational bottlenecks.
If I were going to design the worst possible health care analytics department in a health plan, TPA, or benefits consultancy, this is what I would do. First, I would go out and buy all the hardware and software licenses I needed, not to mention the database administrators and IT personnel necessary to support it. Why use the cloud? That's just a trend, right? And what about data security? The cloud can’t be nearly as secure as my data warehouse, right?
Traditional population health analytics vendors calculate utilization through the use of ‘summary tables’. This approach aggregates information from medical claims about a visit, service or procedure and stores that information in a slimmed down format (the summary table itself) that is digestible on lower performing SQL servers. Each utilization type has a summary table – an ER Visit summary table, an Admission summary table, a CT Scan summary table – and these summary tables, rather than[...]