Clinical analytics / quality improvement
The proliferation of raw data in today's healthcare environment has made analytics a requirement, not an option. Our experience with interventional cardiology can help you cut through the noise, find and define the metrics that matter to help your organization improve care and reduce costs. Here are a few actionable metrics:
- Appropriateness of PCI. Should a particular lesion have been treated?
- CIN/AKI. Are kidney injuries trending up or down? How are patients hydrated?
- Aspirin. How often is this given pre-procedure? Discharge?
- Cardiogenic Shock / Sepsis. Identify individual cases for in-depth review.
- Outlier detection. Which physicians/hospitals are outliers for which indicators?
We have yet to find a technology that speaks to business (and clinical) users the way that BI does. Done well, it presents complex data in an intuitive way that allows users to query it naturally, with virtually no need to understand the underlying technology. This leads to a better understanding of operations and better decisions.
- Create a single version of the truth
- Make crucial data visible to end users and analysts without relying on IT
- Identify trends - good or bad - and investigate root causes
- Easily drill down from high-level summaries to low-level details
- Embed analytic capabilities throughout the organization
custom software / architecture / Project mgt
We've worked with dozens of software products, languages and technologies on many types of systems. We're technology-agnostic and comfortable working in Microsoft or Linux. If you need something specific, from a simple utility to a full-blown custom system, chances are we've been there and done that:
- Very large-scale voter registration system (Microsoft.Net / Sql Server)
- Fully automated Postgres database build (Jenkins / make / Git)
- Automated report generation (Linux bash scripts)
- Unit / Load testing (NUnit / Microsoft Visual Studio)
- Outlier detection (R / statistics)