Patient-Centered Outcomes & Quality Research
After making significant investments to implement EHR systems as their primary clinical data management software, these institutions inevitably learn that while EHRs collect clinical data and support limited clinical decision-making, they don’t offer the flexibility to meet the needs of clinicians or scientists who are conducting any sort of research. Simple queries are confounded by data silos, semantic ambiguity, and brittle software architecture that requires highly trained software programmers to hard-code a query of the data. Even if a researcher were somehow able to gain access to the data they need they have no tools to analyze the data or to use it to recognize patterns or to suggest ways to improve their clinical procedures.
Electronic Data Warehouses (EDWs) provided an improved—albeit extremely expensive—option for making data more accessible for outcomes and quality research purposes, but they lack an ontology to ensure standardized and consistent data comes into the warehouse. Also, EDWs are not easily configurable or adaptable as research needs change over time or as researchers find new questions they wish to ask of their data.
Facing increasing scrutiny of their outcomes and quality measures from patients, payers, and regulators, care providers understand the need to identify the practice patterns and other factors that lead to higher quality outcomes—and then ensure that those positive patterns are replicated throughout the delivery network in order to benefit payers, providers, and patients. Understanding these challenges, Remedy has developed a suite of research informatics products built on the powerful Mosaic™ Platform (link) which enable researchers to track outcomes and quality measures in ways never before possible. Remedy products give researchers the flexibility to adapt their data model as their research needs change over time, to configure the product to meet their specific research needs, to integrate data from multiple sources into one research registry, and to use powerful pattern recognition tools to gain a 360° view of their data.
Solutions For Patient-Centered Outcomes & Quality Research