Home Care Tech Report: Medalogix Applies Analytics To Care Planning

homecare_tech_report_logo-1.jpgTim Rowan recently chatted with our CEO, Dan Hogan, about our new prescriptive analytics-based utilization management tool, Sunleaper. Tim distilled the conversation into this article published in Home Care Technology Report.

Medalogix applies analytics to care planning

Almost without taking a breath after the last product release, Medalogix has figured out another practical way to use the vast amounts of data the Nashville-based company has been collecting, mostly through its synergistic alliance with Homecare Homebase. We spoke with CEO Dan Hogan this week to get the inside details on the new product.

Dan-Hogan-1024x679-1.pngSunLeaper,” as it has been dubbed, represents a leap forward to applying Big Data to healthcare at home uses, he told us. “We needed to answer the question that continues to come up over and over, ‘This is great information; now what do we do with it?’ The need that rose to the top was a clinical application.”

As Medicare contract auditors focus more and more on finding documented evidence of medical necessity, care planning is no longer simple, he reasons. “Individual care analytics are the wave of the future. When there are not enough human and financial resources available to visit every patient every day, you have to know what care plan is best for every individual patient. You can no longer thrive on ‘one size fits all’ care plans. You can no longer say, ‘Oh, CHF; 10 visits.’ If one patient absolutely needs 12 you bite the bullet and accept the cost of 12 visits. If another patient can get well and self-manage after 7 visits, you cannot give that patient 10 just because your standard CHF protocol calls for 10.”

The role of SunLeaper will be to bring massive amounts of data to bear to enable a clinician to customize every care plan to each individual. “COPD may not be the same in Portland, Maine as it is in Portland, Oregon. We have pointed our clients to the top 10% of patients at risk of hospital readmission with our other products. Now, we can apply data analytics to show how to apply interventions, to whom and when, on what frequency and via what discipline and in what order. SunLeaper represents our expansion from predictive analytics to prescriptive analytics.

“This is a product that is anchored to value-based purchasing models. New clinical practices are required in the face of new payment systems. In early tests, we have compared our results to CMS models. Of the six they have published, we are more accurate on five of them. We are within 1.5% on the sixth but we are working on it.”

Hogan is upbeat on the work CMS has done to build a platform of ordinal answers to a set of questions that provide value-added clinical tools. “OASIS is a data set that provides value-added clinical tools. It has enabled us to combine predictive analytics with operational analysis.”

Today, SunLeaper is in the early stages of field testing with one of Medalogix’ largest clients. “These tests will show us how we need to train future users to use the tool,” Hogan explained. The product is set for general release during the second quarter of 2017. It will be available as a monthly subscription.

“What we have build for healthcare at home is much like what cities do in terms of formulating traffic plan,” Hogan concluded. “They study data to know where to put traffic lights, how to adjust their timing for traffic pattern variables such as time of day and days of the week. It is always about the data.”

He added that Medalogix is growing and recruiting data scientists.

*Originally published in Home Care Technology Report.