Analytics are pivotal in delivering whole-person care by providing insights into health patterns and outcomes. By enhancing their analytics strategies with an eye toward holistic wellness, payers and care management teams can offer more wide-ranging and personalized healthcare services.
The strategies experts recommend for payer success in improving care management data analytics include:
- Refining data collection processes.
- Utilizing real-time insights.
- Integrating evidence-based decision support in planning.
- Tailoring interventions for holistic health support.
Refining data collection processes
Payers take in a great deal of member data from different sources including claims data, demographic information, and social drivers of health (SDOH) assessment and other details members themselves are willing to provide. Even though there is value in this wealth of information, it may not all be in the same format or stored within the same systems, which makes collecting, normalizing, maintaining, and analyzing it for member insights a challenge.
Standardizing coding, tools, and workflows wherever and whenever possible can help care management teams looking to develop and refine data strategies to draw insights on care plan effectiveness, improve care equity, report on their efforts, and understand the impacts on members.
Data can grow stale relatively quickly, affecting the relevance of patterns and key health details about members that may impact care plans. Therefore, data collection strategies need to also include ongoing processes for validation and verification.
A key component of data collection must be members’ preferred method of communication. This will prove essential to payers in tailoring information and executing outreach strategies gleaned from other data insights.