Healthcare analytics is a broad area of the healthcare industry that continues to grow. Because of the relation and dependency on data, analytics grows as data grows. With big data expanding more and more each day so does the need to analyze it, store it properly and interpret it efficiently. Because of this continuous growth, there is also a continuous need to learn new and efficient ways to do analytics and handle it better. Health practitioners seek to learn by attending Conference for Healthcare Analytics or taking courses. Below are some areas of healthcare analytics that are broad in their own right.
Healthcare Analytics Model
The Healthcare Analytics Adoption Model is a broad area of healthcare analytics. It provides a framework for evaluating the industry’s adoption analytics, a roadmap for organizations to measure their own progress toward analytics adoption and finally it also provides a framework for evaluating vendor products. The model has eight levels and they are:
Level 0 – Fragmented Point Solutions
Level 1 – Enterprise Data Warehouse
Level 2 – Standardized Vocabulary & Patient Registries
Level 3 – Automated Internal Reporting
Level 4 – Automated External Reporting
Level 5 – Waste & Care Variability Reduction
Level 6 – Population Health Management and Suggestive Analytics
Level 7 – Clinical Risk Intervention & Predictive Analytics
Level 8 – Personalized Medicine & Prescriptive Analytics
Population Health Management
Population Health Management. A proper analysis of population management aids the understanding of where a health system is and aids in the adoption of better and improved practice systems to enable health practitioners to figure out what is needed. An effective and efficient population health management program requires fundamental changes to the way patient care management is handled and practiced. To have effective population health management, healthcare organizations have to be smart about accelerating development of the right areas and manage expectations about what can be achieved.
The healthcare industry needs to do a better job of collecting true patient outcomes data, rather than proxies for care. For example, it inherently does not matter if a person with diabetes has had a foot exam—but it matters very much if that foot exam discovers an open wound that will not heal. Additionally, organizations must also understand cost at a granular, individual level instead of guessing at costs by looking at the average cost of overall patients or members. That approach is almost meaningless when managing margins. Healthcare organizations that have learned and mastered these steps and possess these abilities and capabilities have the essential components of an effective population health management program.
Healthcare dashboards are critical for health practitioners, doctors, clinicians, improvement teams and even CEOs. They are critical for anyone who needs quick, insightful and accurate answers to their questions in an easy-to-understand visual format. It’s much easier for workers to glance at a bar chart to see if metrics are still in the desired range, rather than trying to digest a monthly line item report of patient data. Plus users don’t need to know querying or coding languages such as SQL in order to dig into data or find valuable insights. Healthcare dashboards provide a near real-time data dashboards display, workers can visualize where they are, where they are going, and how fast they are headed there. This enables quicker course correction if needed.
Dashboards also show users if they are holding their improvement gains for previous initiatives or if they are slipping as a previously targeted project falls off the radar. Dashboards serve as an early-detection tool for caregivers to provide preemptive interventions.They also give daily reinforcement to workers that their work is making a difference. This boosts confidence in their ability to make improvement changes. It also boosts job satisfaction because workers are able to maintain those gains and see the results of their efforts in the dashboard.