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Author Bio

Maggie O'Keefe

Maggie O'Keefe joined Health Catalyst in July 2015 as Associate Director, Accountable Care. Prior to coming to Health Catalyst, she worked for CCNC Services as a Clinical Data Analyst. Maggie has a Master’s degree in Social and Behavioral Sciences from the Harvard School of Public Health and a Bachelor’s degree in Religious Studies from Yale University.

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Dorian DiNardo
Maggie O'Keefe

Tackle These 8 Challenges of MACRA Quality Measures

The Medicare Access and CHIP Reauthorization Act (MACRA) appears to be a reporting challenge for many healthcare provider systems with few resources for managing the menagerie of measures. Indeed, with more than 270 measures in play, many systems have yet to jump in, but the deadline is inevitable. A plan of action is possible by recognizing and acting on these eight challenge areas:
Challenge #1: High-level performance insight
Challenge #2: Defining measure specifications
Challenge #3: Data quality reporting requirements
Challenge #4: Benchmarking data
Challenge #5: Proactively increasing measures surveillance to enhance outcomes
Challenge #6: Strategically aligning measures on which to base risk
Challenge #7: Identifying measures with the largest financial impact
Challenge #8: Taking risk in multi-year, value-based contracts
Mid-to-large size provider groups need a strategy around MACRA quality measures and a tool to help them make sense of all the reporting requirements.

Maggie O'Keefe

In Pursuit of the Patient Stratification Gold Standard: Getting There with Healthcare Analytics

Even the healthiest among us would benefit from some level of care management, but resources are limited and patients must be stratified to facilitate prioritized enrollment into care management programs. Therefore, health systems need to identify not only high-cost, high-risk, and rising-risk patients, but also patients who are truly impactable.
This article explains how systems can use healthcare analytics, at varying levels of maturity, to improve patient stratification and, ultimately, achieve the gold standard:

Level 1 (where to start): use healthcare analytics to identify high-cost, high-risk patients in a population.
Level 2: use healthcare analytics to identify patients with rising-risk profiles.
Level 3 (highest level of maturity): use healthcare analytics to identify patients who are truly impactable (the patient stratification gold standard).

Analytics is key to achieving the patient stratification gold standard, but should enhance (not replace) clinical judgement. Stratification lists need to go through workflows in which clinicians remove patients that aren’t appropriate for enrollment.

Maggie O'Keefe
Marie Dunn

Improve Patient Engagement with Five Public Health-Inspired Principles

Patient engagement is critical as we move toward population health—as patients who engage in their own care by following medical recommendations and making healthy nutrition and lifestyle choices will have better outcomes and experiences.
There isn’t, however, a clear path to successful patient engagement. Fortunately, public health can lend several established principles that may help us better involve patients in their own care:

Using systematic, population-level solutions that require less individual effort.
Engaging patients on interpersonal and community levels as well as personal.
Identifying root-cause, assessing and capitalizing on strengths, and engaging stakeholders.
Using strategies from behavioral economics to help individuals make good choices.
Anticipating failure and learning from it.