Data Analytics

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Access to data is improving due to emerging technologies, cultures of transparency, and the voices of clinicians at the point of care.  It is, however, challenging to know which data to use when. Most important is to communicate actionable data insights that inform decision making processes.  Technology and analytics have accelerated the way we use data, but barriers such as a lack of interoperability and access to information across care settings remain.

Why do we use the phrase ‘data informed decisions’?  Data is a piece of the puzzle.  As we learn about new data sources, predictive analytics, and population health technologies, person-centered care requires we never overlook the patients in front of us.

Much like evidence-based medicine and clinical care pathways, there is much to gain by following a “what works” approach to network design and development. Based on years of experience studying and building effective value-based networks of physicians, HealthTeamWorks has identified 7 proven levers or drivers of change and performance.

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To prepare for the shift to pay-for-performance, many primary care practices are participating in formal quality improvement initiatives. Each of these initiatives requires clinical quality measure reporting. Many payers require reporting on selected clinical quality measures too. Practices are reporting burnout associated with these increased demands and limited resources. A solution to alleviate some of the burden is by proactively identifying overlap in CQMs.

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Integration and coordination are the name of the game as we move into alternative payment models and regional accountability.

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HealthTeamWorks is pleased to announce and welcome David Ehrenberger, MD., as Chief Medical Officer, a new role at the organization.

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Timberline Medical, one of HealthTeamWorks’ Colorado CPC clients, credits four tactics for decreasing its ACSC admissions by an impressive 63% and its risk-adjusted expenditures by 2.5%.

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Advancing equity in healthcare starts with data, but more specifically, reliable, and disaggregated data that sheds light on where disparities exist, their causes, and potential solutions.

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What is Data Validation?

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What is Business Intelligence (BI)?

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This tool will help you to identify the different measures you are required or have selected to report on for the different programs and payer contracts in which you are currently participating. By identifying the different measures you can quickly see how many different measures you are tracking, align program efforts with similar reporting requirements, and align your quality improvement efforts to address multiple program requirements.  

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Clinical quality measures, or CQMs, are precisely defined, follow standard guidelines, allow for the comparison of providers and/or facilities, by measuring “healthcare processes, outcomes, patient perceptions, and organizational structure and/or systems that are associated with the ability to pr

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Data analytics is the process of evaluating the data collected to inform quality improvement projects.

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