Health Innovation & Data: Five Common Missteps (and How to Interrupt Them)

By MARIE COPOULOS I’ve had the great fortune of spending much of my career at the intersection of health care innovation and the underlying data that drives new models. For those of us who’ve worked in this space for a long time, there’s a certain pattern recognition that comes with this work that is often immediate and obvious – both in terms of really cool developments but also gotchas. “Ah, you’re stumbling here. Everyone does that.” The challenge, I’ve found, is that these ‘gotchas’ that can be so visible to the folx who’ve worked in health tech for the past few decades can be counterintuitive in the business and even met with resistance. Why? I’m going to focus here on pattern recognition, with the goal of highlighting common stumbling blocks and, critically, ways you can interrupt them if you see them. Pattern #1: Lacking a Clear-Eyed View of Market Data GapsKey Question: Do you understand how the market you’re in informs your ability to measure your work and use data to drive insight? For those of you building models that change the status quo – this is for you. By nature these innovations break from existing care and financial models with the goal to improve them. We need this in health care. However, it’s common to overlook the fact that breaking with the status quo also breaks with the ways that we capture and serve up health data. To this end, don’t assume you will be able to measure and show success, and that th...
Source: The Health Care Blog - Category: Consumer Health News Authors: Tags: Health Tech Bardavon Health Innovations Data Marie Copoulos Teams Source Type: blogs