EHRs, labs, pharmacies, and more, or non-clinical sources such as public databases, wearable devices, and more. It involves aggregating structured or unstructured data from sources, standardizing org-wide use of data, and maintaining various data types including patient information, clinical records, administrative data, medical images, and research data.
By leveraging a unified data model, health systems can clean, standardize, and unify all healthcare data sources—including clinical, claims, labs, pharmacy, SDoH, devices, and more—to drive improved collaboration, and a future-proofed foundation designed for native interoperability and accelerated innovation.
Effective healthcare data management is crucial for improving patient care, enhancing operational efficiency, supporting clinical research, enabling population health management, and facilitating evidence-based decision-making in healthcare organizations.
Healthcare data management is critical for improving patient care, patient safety, operational efficiency, research, population health management, and evidence-based decision-making for healthcare organizations. It plays a pivotal role in leveraging data to drive improved health outcomes and ensure the delivery of quality healthcare services.
Innovaccer is at the forefront of helping health systems move beyond point solutions and basic interoperability to true data readiness, using a scalable platform that accelerates innovation and digital transformation in healthcare.
The Innovaccer Platform rapidly establishes the highest possible level of interoperability between legacy, mission-critical, and other healthcare IT systems; aggregates and unifies (cleans) the data from multiple sources; “hydrates” the data to enable any application to use it; “activates” the data to make it useable in integrated workflows; and lastly, “harmonizes” the data to ensure it’s synchronized across all relevant systems and care settings.
Innovaccer’s cloud-native data platform makes it easy for healthcare organizations to collect, standardize, monitor, and perform analytics. It unifies patient data across systems and care settings and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. It establishes a unified data model (UDM) inclusive of the clinical, financial, and operational data that drive healthcare for all stakeholders, including providers, payers, employers, life sciences companies, and patients and their families.
With approximately 70 entities and 2,800 data elements, the data model is robust enough to support thousands of use cases. Innovaccer continuously expands the UDM as new value levers drive additional entities and attributes. Customers can also extend the data model within their deployment to incorporate additional entities, objects, and attributes.
To accommodate this continuous data model expansion and extension, the platform includes a sophisticated schema evolution framework and architectural controls to provide appropriate versioning management and backward compatibility. UDM updates are regularly synchronized across deployments without impacting any customer extensions or existing production functionality in interfaces, applications, and analytics.
To learn more about how our data platform can help your organization create a unified patient record that brings all of your patients’ data together—including social determinants and other data that exists beyond the health system’s four walls—to enable advanced analytics, machine learning, and integrated workflows that help care teams work better together, and get the patient-centered insights they need at the point-of-care to achieve their better business and clinical outcomes, read this whitepaper or get a demo today.