The Complexity Challenge: Streamlining Healthcare Informatics Processing
Today’s healthcare system generates masses of data on everything from patient treatment protocols and outcomes to billing and management. Numerous groups need to collaborate and share data on how best to deliver effective and affordable healthcare, and individual practices and systems must wade through myriad insurance processes to get reimbursed, all while conforming to strict patient privacy regulations. It’s time to streamline healthcare informatics processing so organizations can easily and securely leverage their large volumes of diverse data for informed decision making while easing regulatory compliance.
The Mission
Medicare providers must submit very specific patient quality information to receive reimbursement and avoid financial penalties. Specific practices are outlined by the Centers of Medicare and Medicaid Services (CMS), yet they change the reporting guidelines and quality measures on a yearly basis. It is an enormous, costly challenge for healthcare practitioners and medical service companies to remain in compliance. Mingle Analytics offers a healthcare informatics processing data review and submission service to help healthcare practitioners and systems comply with regulations, avoid penalties, and receive their full reimbursement. It contracted with Introspective Systems to:
- Improve the data processing performance and agility by transforming from a static relational database to one that can accommodate its graph-structured data.
- Build a flexible system that meets ever-changing CMS requirements with ease while boosting resiliency.
- Eliminate the largely manual process of transforming existing clients to new annual procedures while scaling effectively for new customers.
The xGraph Advantage for Healthcare Informatics Processing
The complex interrelations among procedures, practice, patients, symptoms, diagnoses, and referrals are intrinsically graph based, which makes it a perfect candidate for Introspective Systems’s executable graph framework. Here is how xGraph offers and advantage in healthcare informatics processing:
- xGraph’s graph data and processing system is ideally suited for graph style medical data. It easily manages complex relationships among medical and health records data structures.
- Systems can change xGraph at the local level, easing annual updates to incorporate regulation changes.
- xGraph handles time event sequences effectively, a requirement for processing the variety of medical events, from diagnostic to performative.
- xGraph extracts data insights collectively without breeching individual record security.
xGraph in Action
The new xGraph-based system for Mingle Analytics was able to successfully report every CMS quality measure, the only system on the marketplace that checked this box. It saves time and money by lower staffing requirements for yearly modifications to accommodate rapidly changing CMS requirements – a 50% reduction in staff and more than $100,000 per year in database costs.
