August 14 2018 | 0 Comments | 104 reads Average Rating: 3
Answering All the Right Questions with All the Right Data
Healthcare providers are accustomed to taking things one day at a time. A patient comes in – and they deal with the presenting ailment and then move on. Under value-based care models, however, they need to look beyond the present and understand a patient’s future, in terms of clinical and financial risk.
And, that requires dealing with a lot more information than what is typically gathered during the typical 15-minute visit. To move in this direction, healthcare organizations need to create a foundation that includes various types of data including behaviors and attitudes; demographics and attribution; clinical factors; cost and quality; utilization and risk. To truly provide what’s needed, the data needs to be meaningful and offer a 360-degree view of the patient. It is also important to ensure the data is in “pristine” condition, as it will be used to deliver insights on managing risk, where to have impact and gaps in care.
With such data, you can then take advantage of predictive and prescriptive analytics to deliver insight into the care improvement and cost reduction opportunities that can lead to success under value-based models. In fact, the data can be fed into advanced predictive and prescriptive analytics to answer questions such as:
- Where can I have the greatest impact?
- What conditions and subsequent interventions represent the highest opportunity value?
- What conditions can I impact with the least complex interventions?
- Who is at risk to undergo an avoidable surgery?
- Which consumer types comprise my population? Which programs are best?
All of this analysis can then be used to close care gaps – and reduce clinical and financial risk for various members.
Want to learn more about using data to succeed under value-based care? View our on-demand webinar entitled “Outcomes-Based Contracting: Empowering Providers to Create Tailwinds During Paradigm Shift.”