By Krithika Srivats, Senior Director, Health/Clinical Center of Excellence at Hinduja, Global Solutions (HGS)
The healthcare industry has experienced unprecedented change in recent years. Technological efficiencies and strategic service offerings, value-based care initiatives, and federal and state mandates have converged with the goal of creating a system that is patient-centered and outcomes based, while also lowering the overall cost of care.
This paradigm shift has made it inevitable for healthcare stakeholders to collaborate. More importantly, payers and providers are increasingly transparent and aligned toward better patient outcomes. As one example of legislation changing landscape, the HITECH act and mandates around quality reporting initiatives have paved the path to transparency, for better data tracking and reporting abilities across payer and provider systems.
This article will explore the critical data management issues payers and provider share — and potential solutions to create a more seamless and transparent flow of information.
The amount of data attached to every patient has grown exponentially — and all of it has to be gathered, integrated, and interpreted according to compliance guidelines and processes that can vary widely between payers and providers as well as between jurisdictional boundaries. Additionally, the datasets held by payers and providers can be different. For example, payers possess data on claims, financial analytics, and risk models. Providers have administrative and clinical data that includes case histories and outcomes.
Each data set is valuable, but in isolation doesn’t provide a holistic and contextual perspective of the patient. Providers need to leverage health plan data in order to move from episodic care to delivering outcome-based care across the care continuum. Payers need access to patient information in order to work with providers to establish appropriate care plans for their members.
Another data management problem is redundancy. Though many health plans separate risk adjustment activities from HEDIS, Medicare Star rating system and care management activities, they all need the same patient medical record, forcing providers to dedicate significant financial and administrative resources to respond to seemingly duplicative requests with few guarantees that the information they are procuring is timely and accurate.
Last but not the least, accurate interpretation of the data is highly dependent on the completeness and accuracy of the data. Payers have had standardized methods of capturing data sets. For example, irrespective of how the claims are submitted, they cleanse and capture it into a data transaction standard that can be used across all stakeholders. However, providers’ systems are disparate with lacking stringency in data capture standards. While registries at point of service have significantly improved the availability of data, the completeness and usability is a key opportunity area. Meaningful use of the HITECH reform is still in phased implementation, and the small group and individual providers who constitute to 40 percent of providers in the USA fall under this category. The key is to forge pathways where these two data spheres overlap, turning the data into rich, actionable information that benefits both stakeholders, and more importantly, their customers. Tools like self-service portals allow both payers and providers to access complete, actionable information (as opposed to raw data), reducing administrative burdens for both parties, achieving higher-performance goals, and identifying coding and care gaps more quickly.
In terms of maintaining a healthy provider-payer relationship, the means is nearly as important as the end. Proactively, health plans and providers can improve their internal processes for collecting data in four key ways: