Posts Tagged ‘health outcomes’

Infographic: How Nursing Leadership Styles Can Impact Patient Outcomes

February 2nd, 2018 by Melanie Matthews

Transformational nursing leadership is associated with reductions in medication errors, lower patient mortalities, increased patient satisfaction and lower staff turnover, according to a new infographic by Bradley University.

The infographic examines five nursing leadership styles and their impact on patient outcomes.

UnityPoint Health has moved from a siloed approach to improving the patient experience at each of its locations to a system-wide approach that encompasses a consistent, baseline experience while still allowing for each institution to address its specific needs.

Armed with data from its Press Ganey and CAHPS® Hospital Survey scores, UnityPoint’s patient experience team developed a front-line staff-driven improvement action plan.

Improving the Patient Experience: Engaging Front-line Staff for a System-Wide Action Plan, a 45-minute webinar on July 27th, now available for replay, Paige Moore, director, patient experience at UnityPoint Health—Des Moines, shares how the organization switched from a top-down, leadership-driven patient experience improvement approach to one that engages front-line staff to own the process.

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Infographic: Health Outcomes Analytics: Opportunities and Gaps

December 2nd, 2016 by Melanie Matthews

Analyzing patients’ health outcomes is a major step on the way to improving them. A variety of equally reputable sources provides different views, angles and approaches to both measurement and analysis, according to a new infographic by ScienceSoft.

The infographic examines the opportunities and gaps in healthcare data analytics on patients’ outcomes.

Health Outcomes Analytics: Opportunities and Gaps

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare’s aggressive migration to value-based payment models and MACRA’s 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS’s 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results examines program goals, platforms, components, development strategies, target populations and health conditions, patient engagement metrics, results and challenges reported by more than 100 healthcare organizations responding to the February 2016 Digital Health survey by the Healthcare Intelligence Network.

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Infographic: Improving Outcomes With Health Data Analytics

December 11th, 2015 by Melanie Matthews

The cost of healthcare in the United States continues to rise. In 2015, costs are projected to rise by 5.3 percent to a per capita cost of $9,695, according to a new infographic by the Government Business Council.

The infographic examines the factors that are driving up U.S. healthcare costs and how big data analytics can help to control costs and improve the quality of care.

While widespread adoption of electronic health records has generated new streams of actionable patient data, John C. Lincoln has taken data mining to new levels to enhance performance of its accountable care organization (ACO).

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable Care reviews the concentrated data dig undertaken by John C. Lincoln to prepare for participation in the CMS Medicare Shared Savings Program (MSSP).

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Risk Stratification Targets the High-Risk, Curbs Utilization Across Continuum

February 19th, 2015 by Cheryl Miller

Preventive care and utilizing hospital and discharge information are critical for stratification, say a number of thought leaders from organizations like Humana, Adventist Health, Taconic Professional Resources, Monarch Healthcare (a Pioneer ACO), and often lead to improved clinical and financial outcomes. Here, some advice from these thought leaders.

Across the healthcare continuum, improved clinical and financial outcomes at organizations like Humana, Adventist Health, Taconic Professional Resources, Monarch Healthcare (a Pioneer ACO), and Ochsner Health System were preceded by rigorous risk stratification of populations served.

“Humana encourages preventive care, and we are trying to prevent the most costly interventions by making sure we address things before they become big problems,” notes Gail Miller, vice president of telephonic clinical operations in Humana’s care management organization, Humana Cares/SeniorBridge. “It is successful so far. We have been able to reduce hospitalizations from what we expected by about 42 percent. We have been able to decrease our hospital readmission rate to 11 percent.”

Hospital admission and discharge information is critical for stratification, adds Annette Watson, RN-BC, CCM, MBA, senior vice president of community transformation for Taconic Professional Resources. “Depending on the model in a primary care practice (PCP), if a physician is not the admitting physician—if the admission is from a specialist, hospitalist, or through the ER—it cannot be assumed the PCP has the admission and discharge information. People may think physicians know about their patients being in the hospital, but that is not always the case.”

“Our first step in launching Monarch’s Pioneer ACO program was to develop a population disease profile in risk stratification analysis,” contributes Colin LeClair, executive director of accountable care at Monarch HealthCare. “With the help of Optum Actuarial Solutions, we identified the eight most prevalent and costly conditions in our population. We then identified the largest cohort of high-risk patients best suited for Monarch’s care management programs. Ultimately we isolated the top 6 percent of high-risk patients with a diagnosis of diabetes, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), or renal disease and found that of those patients, 6 percent account for 43 percent of total medical cost across the entire population. That analysis resulted in us targeting about 1,200 high-risk patients who have a similar constellation of issues.”

“You want to look at your high utilizers of care, because they’re using a great deal of care,” concludes Elizabeth Miller, RN, MSN, vice president of care management at White Memorial Medical Center, part of Adventist Health. “There’s potential for decreasing procedures, tests, ED visits, hospitalizations.”

Source: 2014 Healthcare Benchmarks: Stratifying High-Risk Patients

http://hin.3dcartstores.com/2014-Healthcare-Benchmarks-Reducing-Hospital-Readmissions_p_4786.html

2014 Healthcare Benchmarks: Stratifying High-Risk Patients captures the tools and practices employed by dozens of organizations in this prerequisite for care management and jumping-off point for population health improvement—data analytics that will ultimately enhance quality ratings and improve reimbursement in the industry’s value-focused climate.