Ann Tinker, MSN, RN

Professional Services, SVP

Ann Tinker joined Health Catalyst in June of 2012 as a Vice President for Customer Engagements. Prior to coming to Health Catalyst, she worked for GE Healthcare IT on the GE/Intermountain Healthcare partnership product called Qualibria as a Product Manager and Customer liaison. Ann worked PRN (on-call) for LDS Hospital in the Post Anesthesia Care Unit (PACU) as a staff RN for the past 6+ years. Before GE Ann was employed at 3M HIS business based in Salt Lake City working in a variety of positions from sales support, implementation, development, marketing and product management for both US and International products and prior to then worked for Intermountain Healthcare for 10+ years in Critical Care and Nursing Administration. Ann has a bachelor’s degree in nursing from Brigham Young University and a Masters from University of Washington.

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The Top Seven Healthcare Outcome Measures and Three Measurement Essentials

Healthcare outcomes improvement can’t happen without effective outcomes measurement. Given the healthcare industry’s administrative and regulatory complexities, and the fact that health systems measure and report on hundreds of outcomes annually, this article adds much-needed clarity by reviewing the top seven outcome measures, including definitions, important nuances, and real-life examples. The top seven categories of outcome measures are:

1. Mortality
2. Readmissions
3. Safety of care
4. Effectiveness of care
5. Patient experience
6. Timeliness of care
7. Efficient use of medical imaging

CMS used these seven outcome measures to calculate overall hospital quality and arrive at its 2018 hospital star ratings. This article also reiterates the importance of outcomes measurement, clarifies how outcome measures are defined and prioritized, and recommends three essentials for successful outcomes measurement.

How to Find the Best Interventions for Clinical Quality Improvement

How can health systems avoid just talking about improvement and instead achieve real progress in clinical quality performance? First, improvement teams need access to a robust data infrastructure that can provide a complete picture of performance. This analytic insight reveals process gaps and opportunity areas where the care team can target improvement efforts.

After selecting an opportunity area, care teams are ready to follow the three-step process to achieve meaningful clinical improvement:

1. The “why”: Identify the outcome goal.
2. The “what”: Select a written, measurable, and time-sensitive process metric to evaluate the process.
3. The “how”: Identify the best interventions that will support the desired change in a process.

Transforming Healthcare Analytics: Five Critical Steps

By committing to transforming healthcare analytics, organizations can eventually save hundreds of millions of dollars (depending on their size) and achieve comprehensive outcomes improvement. The transformation helps organizations achieve the analytics efficiency needed to navigate the complex healthcare landscape of technology, regulatory, and financial challenges and the challenges of value-based care.

To achieve analytics transformation and ROI within a short timeframe, organizations can follow five phases to become data driven:

1. Establish a data-driven culture.
2. Acquire and access data.
3. Establish data stewardship.
4. Establish data quality.
5. Spread data use.

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