Process Improvement Cycle

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KenJDiStefanoSr

A generic Process Improvement Process

Technology Sports

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A look at strategies for lowering hospital readmissions across the continuum of care. Hospital readmissions are a multi-dimensional problem. No single player or entity is entirely responsible for reducing excess readmissions. By improving our understanding of each touch point along the patient care continuum, strategies can be developed that ultimately reduce total readmissions. This paper explores the roles of patients and providers in reducing readmissions and reviews several strategies that each can implement to help reduce readmission rates. -Which patients are at high risk of hospital readmission? -Comprehensive discharge planning strategies -The physician’s role in lowering hospital readmission rates -Optimizing communications handoffs between providers -Building patient-centered transitional care models -End of life planning

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Columbus presentationaug2013

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The LACE index identifies patients that are at risk for re-admission or death within thirty days of discharge. It incorporates four parameters. "L" stands for the length of stay of the index admission. "A" stands for the acuity of the admission. Specifically, if the patient is admitted through the Emergency Department vs. an elective admission. "C" stands for co-morbidities, incorporating the Charlson Co-Morbidity Index. "E" stands for the number of Emergency Department visits within the last 6 months. LACE sores range from 1-19 and as mentioned above predict the rate of re-admission or death within thirty days of discharge. Below is an example of how to calculate the LACE index. A score of 0 - 4 = Low; 5 - 9 = Moderate; and a score of ≥ 10 = High risk of re-admission.

Lace index scoring tool

BESLER

Hospital readmissions rates are now at 3 percent, which means that health systems are feeling the financial burden of decreased payments from Medicare. They also need to track two more 30-day readmission rates. While there aren’t any new penalty measures planned for 2016, coronary artery bypass grafts will be added as yet another measure to track in 2017. By using three strategies to reduce readmission rates, health systems will experience better outcomes and decreased penalties. The three strategies include the following: (1) implementing a data warehouse that provides a single source of truth; (2) engaging a multidisciplinary team to lead the improvement efforts; (3) installing a sophisticated analytics platform.

How to survive cms's most recent 3% hospital readmissions penalties increase

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Avoidable readmissions are a major financial major problem for the healthcare industry, especially for government payers. To tackle this problem, CMS launched the Hospital Readmissions Reduction Program (HRRP). While some hospitals may be able to absorb the financial penalties under HRRP, they still need to track increasingly complex reporting metrics. Most tracking solutions are inadequate for today’s complicated reporting needs. A healthcare enterprise data warehouse and analytics applications, however, are designed to solve the numerous reporting burdens. When used together, they also deliver a robust solution that enables hospitals to track and drive real cost and quality improvement initiatives, all without the need for users to be technical experts.

Hospital Readmissions Reduction Program: Keys to Success

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Predictive analytics in healthcare must be timely, role-specific, and actionable to be successful. There are also three common types of healthcare predictive analytics: Risk scores (risk stratification using CMS-HCC or other models), What-if scenarios (simulations of specific outcomes given a certain combination of events, and Geo-spatial analytics (mapping a geographical location’s patient disease burden). The common thread in all of these is the element of action, or specifically, the intervention that really matters in healthcare predictive analytics.

Three Approaches to Predictive Analytics in Healthcare

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Measuring what’s working, what isn’t, and acting on this critical information is what drives the continuous optimization of your content. Focusing your quality program roles, responsibilities, and accountabilities is the key to simplifying your workload and lowering costs. In this session, we will demonstrate how to: • Establish your Article Quality Index (AQI) to measure the success of your content quality program. • Determine your Article Utility Index (AUI), what content is valid AND valuable. • Manage your Content Validity Check (CVC) Project(s). • Identify and track improvement opportunities (Flagging) and enhancements (Fixing) on an ongoing basis.

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