Propeller CEO: Engagement, Environment Among Population Health Keys

Hospitals and other healthcare organizations are turning to high-tech tools to help them adapt to the shift to so-called value-based care, where providers are paid based on patient outcomes, rather than the quantity of patient visits and services delivered.

Those tools include population health management software, a sector seeing increased competition as demand from healthcare providers grows, as Xconomy explored in a story earlier this week. The software allows users to pool data from various sources on patients with similar conditions, in order to spot trends and make more informed decisions about their care. Some of those sources are electronic health records (EHR) systems used at hospitals and clinics, results from clinical lab tests, and claims sent to insurers.

But caring for populations of patients can also involve pulling in data collected by sensors that patients carry around with them all day. For instance, Propeller Health is working with collaborators—some of whom are large pharmaceuticals companies like Novartis, Boehringer Ingelheim, and Aptar Pharma—to develop Internet-connected inhalers to help healthcare providers care for patients with asthma and chronic obstructive pulmonary disease (COPD). The Madison, WI-based company’s digital platform combines information from sensors, mobile apps, and software analytics.

Here are highlights from a recent e-mail exchange between Xconomy and David Van Sickle, co-founder and CEO of Propeller Health. Our conversation has been lightly edited for clarity:

Xconomy: What should leaders at healthcare organizations seeking to better manage patients with asthma or COPD know about how Propeller’s platform might help in that effort?

David Van Sickle: Effective population health management programs identify the most costly or at-risk patients and deliver them more intensive care and management. But many patients who are expensive in one year do not remain so in the next. Data from EHRs and medical claims can only show patients who were expensive in the past, which may not be an accurate or reliable predictor of who will be expensive today or tomorrow.

Emerging tools and platforms, like Propeller, generate new data and analytics to allow risk stratification in near-real-time. Propeller passively collects data on a patient’s current health status: current disease control; recent changes in symptoms and rescue bronchodilator use; current levels of environmental triggers that could lead to increased symptoms; current community disease trends; and current medication adherence. These data can be used to determine which patients need more attention or more intensive care management today. Modern population management programs that incorporate these new data streams will better identify patients who could benefit from the added expense of more intensive intervention.

X: Has Propeller been a significant part of population health management programs at any of the organizations that have used or piloted Propeller’s platform?

DVS: Yes. The majority of our commercial programs, at organizations such as Dignity Health, support care managers in their efforts to manage populations of patients with chronic respiratory disease. Propeller helps them work more efficiently and effectively by providing insight into the patients most in need of their attention today.

X: Propeller has discussed some of the potential longer-term, bigger-picture impacts its products could have (for example, analyzing inhaler usage trends to make conclusions about air quality, and deciding to plant more trees or allow less traffic near a school). What are some of the other types of data that, when combined with information collected by Propeller-made sensors, could potentially lead to these insights and actions?

DVS: At Propeller, we’re interested in understanding all of the factors that influence a person’s respiratory health. In addition to collecting data on medication use, we evaluate

Author: Jeff Buchanan

Jeff formerly led Xconomy’s Seattle coverage since. Before that, he spent three years as editor of Xconomy Wisconsin, primarily covering software and biotech companies based in the Badger State. A graduate of Vanderbilt, he worked in health IT prior to being bit by the journalism bug.