How Value-Based Care Can Lead to More Personalized Patient Care

More physicians are meeting patients outside of traditional healthcare settings due largely in part to switching from fee-for-service to value-based care delivery models. Pile onto that the technology that patients can use to monitor their health and physicians are able to get a better idea of how the patient is doing — and how to better treat them — when they are not scheduled for an appointment.

Mandira Singh, head of product and partnerships at Collective Medical, discussed at HLTH2019 in Las Vegas, Nevada, how value-based care demands more focus on the patient outside of the traditional four walls of care.

Editor’s note: This transcription has been lightly edited for style and clarity.

Mandira Singh: I think it's really important as we think about value-based care to remember that now all of a sudden, providers have to care about what's happening with a patient once they leave the four walls of their practice. Not only do they have to care because that's part of their Hippocratic oath, they have to care because they're financially on the hook for it.

So, what we're seeing is that, whereas before there were those progressive motivated providers that were involved in the continuous care of their patients, now you see institutions investing in solutions to help them understand what's going on. The reality is there isn't a lot of visibility in terms of a skilled nursing facility understanding what happens when a patient leaves or a behavioral health clinic who by definition deals with some of the most vulnerable patients in our continuum. To them, understanding those underlying risk factors that they might not have encountered but others across the continuum have, could be that that difference between them discharging a patient who isn't ready yet and having that readmission occur, or understanding the risk associated and keeping them in care for that extra day, because ultimately, it's a better outcome for the patient.

What we see often is the hard-fast rules that don't work. A patient is not always adherent to an algorithm, they're individualized, and it's their specific history that should be taken into account when we're making decisions about their health across the whole continuum.

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