As health systems move toward value-based care, improving transitional care is critical. A data-driven approach to risk and readmission management results in better outcomes and decreased hospital costs—a win-win for the health system and the patient.

It’s well known that hospital readmissions pose a major healthcare concern both in terms of quality of care and healthcare costs. Therefore, to deliver a seamless care transition experience to patients, it is necessary for the hospital and post-acute care provider to work together and have an accurate understanding of the next steps involved in the care journey to reduce readmissions.

A recent research report produced by Innovaccer and Morning Consult revealed that an overwhelming majority of healthcare executives surveyed (95%) are focused on digital transformation, yet they’re facing a chronic, underlying challenge that’s impeding their efforts: data readiness. Health systems are looking for a cloud-native, interoperable data and analytics platform to connect to virtually any HIT system, including EHRs, and unify its data to make it useful across care settings.

A leading provider-focused and technology-enabled global risk primary care platform organization wanted to acquire more physician groups and move people away from the fee-for-service model to value-based medicine.

A leading healthcare organization, in a bid to be more data-driven, was looking for an advanced population health analytics solution to provide quality measuring and reporting along with enhanced care management.

One of the fastest growing primary healthcare solution providers in the country wanted to improve the quality and performances of each of its next-gen providers' practices.

A leading Florida-based clinically integrated network (CIN) wanted to improve its coding and care gap closure rates and drive better patient engagement to avoid unnecessary visits and redirect resources to strategic coordination tasks.

CHESS Health Solutions, a North Carolina-based healthcare services organization, faced several challenges including the need to implement standardized transitional care management practices across provider locations

A Texas-based health system delivered a personalized patient and caregiver experience across its 105 hospitals and 30 critical access facilities in 19 states. Creating a better overall patient and caregiver experience required replacing manual tasks with an automated, data aggregation technology.

Healthcare IT organizations struggle with data aggregation, ingestion, cleansing and normalizing data from external sources. The classic question is—should they build an in-house solution or buy a pre-built solution that consolidates disparate data?