There have been several well documented Covid-19 impacts on the US healthcare system. Perhaps a bit under the radar has been the increased acceleration towards value-based care models. While a big driver of this shift can be attributed to providers and health systems struggling to maintain fee-for-service revenues in a time of lock downs and lower patient visit volumes, merely changing the payment model away from 100% fee-for-service won’t alone make these models successful on delivering higher quality, affordable care. At C3LX, our mission is to support value-based care models with technology that equips care teams with the tools and patient insights necessary to be successful. A recent Harvard Business Review article touches on several digital health capabilities that health systems will need to include, and yet these examples are just a starting point. Over the next several weeks, we will dive into each of these digital health capabilities in more detail.
- Support for Care Managers: Care managers who support patient populations and other providers are critical for successful value-based models. These clinicians need tools that let them see the patient’s comprehensive care plan, the relevant data, and prioritized patients specific to each care team member’s role and scope of practice.
- Smart Dashboards and Registries: Patient registries are important but lack effectiveness if they don’t give care teams the ability to filter, sort, and efficiently act with rising risk and other critical patient populations.
- Remote Patient Monitoring: Once care plans and goals are established for patients, care teams require an efficient and effective mechanism to track their patient’s progress and quickly be alerted to patients not achieving their goals and why. Similarly, patients also need digital health tools that let them see their progress, engage them effectively in managing their own health, and allow for meaningful connections back to their care teams.
- Robust Analytics: Care teams operating in value-based models need analytics not just for reporting back to employers and payers, but also to help them at the point of care, and not just a look in the rearview mirror, but also to help them with proactive care management. These insights must target rising risk patient populations who often go unnoticed until chronic, the gaps & barriers in a patient’s progress towards goals and accurately reveal the effectiveness of targeted care interventions.
