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HealthCatalyst Recommends

Episode Analytics Now Mission Critical as Outcomes Meet Incomes: Partners HealthCare Paves Volume-To-Value Path With Late-Binding Data Warehouse

In this reprint from Microsoft, Dennis Schmuland, MD, FAAFP (Chief Health Strategy Officer, Microsoft US Health & Life Sciences), sits down with Sree Chaguturu, MD (Vice President and Chief Population Health Officer, Partners HealthCare) to learn how Partners HealthCare has prepared for the tipping point of value-based care.

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Value-Based Purchasing: Four Need-to-Know Domains for 2018

Health systems that meet the 2018 Hospital Value-Based Purchasing Program measures stand to benefit from CMS’s $1.9 billion incentive pool. Under the 2018 regulations, CMS continues to emphasize quality. To reduce the risk of penalty and vie for bonuses, it’s increasingly critical that organizations leverage data to build skills and processes that meet more demanding reimbursement measures.

To thrive under value-based payment, healthcare systems must understand CMS’s four quality domains, and their associated measures, for 2018:

  1. Clinical Care
  2. Patient- and Caregiver-Centered Experience of Care/Care Coordination
  3. Efficiency and Cost Reduction
  4. Safety
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20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What’s the future?

The enterprise data warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data utilization skills associated with these systems at Intermountain and Northwestern. Lee Pierce assumed leadership of the Intermountain EDW in 2008. Andrew Winter assumed leadership of the Northwestern EDW in 2009, and transitioned leadership of the EDW to Shakeeb Akhter in 2016.

This webinar is a fireside chat among friends and colleagues as they look back across their healthcare IT decisions to answer these questions:

  • What did we do right and what did we do wrong?
  • What advice do we have for others in this emerging era of Big Data?
  • What does the future of analytics and Big Data look like in healthcare?

Please join Dale, Lee and Shakeeb for what is sure to be an insightful and spirited conversation. You’ll leave better understanding the following:

  • Why data modeling has been overrated and how it is changing
  • The arrival of hybrid architecture data lakes
  • The potential to process text, images, and discrete data together
  • Whether the EHR vendors can deliver against future needs
  • How to optimally use data governance
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Realizing the Promise of Precision Medicine

Precision medicine has profound implications for patient care and clinical outcomes, and is already beginning to impact everyday medical practice. However, implementation faces several obstacles, including overstated claims, resistance among clinical medicine thought leaders and providers, and concerns about costs, data overload, and interoperability. This webinar will address five key concerns, challenges, and barriers among clinicians and IT professionals struggling to determine the value and limitations of implementing precision medicine, and offer tangible recommendations to help drive toward precision medicine adoption.

Learning Objectives:

  • Identify obstacles that impede the implementation of precision medicine in clinical practice.
  • Contrast population-based medicine and precision medicine.
  • Demonstrate the real world benefits of precision medicine in today’s healthcare setting.
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Improving Transitions of Care for Patients with Pneumonia

Nationally, the readmission rate for patients over age 65 with pneumonia is 15.8 percent. Though not all hospital readmissions are preventable, high readmission rates may reflect performance on care quality, effectiveness of discharge instructions, and smooth transitioning of patients to their home or other setting.

Piedmont Healthcare wanted to standardize pneumonia care across its entire system but lacked the data it needed to identify patients who could benefit from additional transition support. Piedmont convened a care management steering committee and deployed analytics tools to generate actionable data for appropriate and effective transitions of care for its Medicare patients with pneumonia. In less than one year, it reduced its readmission rate for patients with pneumonia by 26 percent.

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Evidence-Based Care Standardization Reduces Pneumonia Mortality Rates and LOS

Patients with pneumonia account for over 400 thousand emergency room visits, nearly 1.1 million inpatient hospitalizations, and more than 5.7 million inpatient days each year in the U.S. Every year, almost 51,000 patients die from pneumonia. Among the elderly, community-acquired pneumonia is an increasing problem, now ranking as the fourth leading cause of death.

Piedmont Healthcare, a not-for-profit integrated health system serving Georgia, had multiple order sets for disease management, but the health system lacked a uniform care pathway for the treatment of pneumonia. Care provided for the treatment of pneumonia was often not in alignment with evidence-based guidelines, such as antibiotic selections. This lack of consistency increased both LOS and cost, and a lack of case-specific data made the development of a uniform best practice for pneumonia treatment challenging. By accessing detailed case data with the help of analytics, Piedmont was able to identify and develop best practices for the treatment of pneumonia, driving out the variation that increased costs and reduced the overall quality of care.

Results:

  • 56.5 percent relative reduction in pneumonia mortality rate.
  • $220,000 in savings over one year, the result of a 9.3 percent relative reduction in LOS.
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