Industry forces such as chronic illness, growing Medicare enrollment, and rising medical costs are forcing healthcare providers and payers to consider new business models. Many are adopting a value-based reimbursement or shared-risk model linked to outcomes and replacing the traditional fee-for-service.
Adoption of this new model of population health management (PHM) is not an easy one and requires an investment in IT infrastructure and systems. IDS solutions make the transition a smooth one. IDS has the knowledge and expertise in interoperability to implement an integrated network that supports the coordination of care across numerous enterprises and systems.
Clinical Integration with Analytics
The IDS population health management solution combines clinical systems integration and real-time data analytics.
The goal is to aggregate all data for each patient across multiple health information technology resources and distill it into a single, actionable patient record. This complete data integration is the key to proactive and preventive care. Merging clinical care with data analytics gives providers a more comprehensive clinical profile of each patient. Clinicians now have access to information-centered decision making. Using that data, providers can track and improve clinical outcomes while lowering costs. A sound PHM program can reduce hospital readmissions, misdiagnosis, medication errors or unnecessary diagnostic tests.
It can alert clinicians to problems early on or identify patients that would benefit from intervention and greater care coordination. It also can aid with developing an appropriate patient engagement strategy.
Coordinating care covers a wide range of services. The variables in coordinating diagnosis, treatment and ongoing care for each individual are many and complex. Actively managing a population requires access to real-time data and advanced intelligence to help reduce risk and improve care quality.
Learn more about how IDS solutions help healthcare providers understand their most at-risk and expensive populations, and develop clinical workflows that treat those patients in a cost effective way.
Population Health Management Technology to document patient encounters, gather data from incompatible sources, standardize and store the data in an easily accessible way.
Real-time data analytics and business intelligence for information-based decision making.
Workflow management to coordinate care, create efficiencies and improve communications.
Patient engagement tools to encourage patients to take a more active role in their care.