Health Catalyst Recommends

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HealthCatalyst Recommends
Dr. John Haughom

Why Patient-Reported Outcomes Are the Future of Healthcare—and the Key to Ruth’s Independence

Patient-reported outcomes (PROs), defined as “any report of the status of a patient’s health condition that comes directly from the patient, without interpretation of the patient’s response by a clinician or anyone else,” are the future of healthcare.

In addition to helping people like 80-year-old-Ruth continue to live interpedently, PROs—interchangeable with the term patient-generated health data (PGHD)—have several benefits:

  1. Effectively supplement existing clinical data, filling in gaps in information and providing a more comprehensive picture of ongoing patient health.
  2. Provide important information about how patients are doing between medical visits.
  3. Gather information on an ongoing basis—rather than just one point in time—and provide information relevant to preventive and chronic care management.

The new technologies that enable PROs and PGHD (e.g., sensors that detect whether Ruth takes food out of her refrigerator on a regular basis), generate important data outside of patients’ traditional care environments, sharing it with care teams to expand the depth, breadth, and continuity of information available to improve healthcare and outcomes.

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Paul Horstmeier

Introducing Health Catalyst MACRA Measures & Insights—Addresses Top Physician Concern: Capturing Compliance Measures

A recent Health Catalyst®/Peer60 survey revealed that compiling quality metrics is the top concern for physicians—a regulatory burden expected to worsen in 2017 as physicians struggle to report quality metrics for the Medicare Access & CHIP Reauthorization Act (MACRA)—the federal law that changes the way Medicare pays doctors.

MACRA Measures & Insights™—Health Catalyst’s new MACRA solution—does so much more than alleviate this reporting burden:

  • Helps health systems track and monitor all MACRA measures across multiple departments.
  • Helps systems maximize Medicare reimbursement and monitor performance against measures year over year.
  • Enables healthcare organizations to tactically and strategically identify the optimal measures to include within multi-year, value-based care contracts with commercial payers.

Powered by the Health Catalyst Analytics Platform™, which can integrate virtually all of the granular data in a healthcare system, including claims and other external data, MACRA Measures & Insights gives health systems deep insight into performance measures at the degree of detail required for measurement and performance improvement.

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Dorian DiNardo Eric Just

Introducing Two New Products From Health Catalyst

Join Eric Just, Senior Vice President of Product Development, as he will discuss:

  1. How machine learning is now included into our analytics platform and being built into all our applications.
  2. The toolsets we have developed to automate and democratize machine learning tasks both within Health Catalyst clients and to the broader healthcare industry.
  3. Processes to gain clinician buy-in, and engage the best machine learning engine in the world.
  4. Demonstrations and examples of this life-saving technology.

Dorian DiNardo, Vice President, will share how the Health Catalyst® MACRA Measures & Insights product can help you:

  1. Integrate hundreds of measures across financial, regulatory, and quality departments.
  2. Monitor the behavior, activities, and other changing information needed to influence, manage, or change outcomes.
  3. Tactically and strategically identify measures to take on risk in multi-year value-based care contracts.

The webinar begins with Eric Just presenting catalyst.ai and is followed by Dorian DiNardo presenting  MACRA Measures & Insights starting at the 35:57 mark.

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Levi Thatcher Michael Mastanduno, PhD

Machine Learning Using Healthcare.ai

Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.

During the webinar, we will:

Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.

If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!

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Health Catalyst

Data-Driven Clinical Documentation Improvement Program Increases Revenue and Improves Accuracy of Risk Adjusted Quality Metrics

Allina Health, an integrated delivery system throughout Minnesota and western Wisconsin, has long understood the value of clinical documentation improvement (CDI), and its growing importance in recent years. With the implementation of ICD-10, the specificity needed for accurate coding has increased, and reimbursement shifts have occurred as well, creating sizeable payment disparity for some clinical conditions. Leaders at Allina wanted to understand where their CDI program would have the greatest return on investment. However, data from the EHR was not sufficient to inform their strategy. CDI specialists still lacked the ability to perform a comprehensive assessment of the accuracy of clinical documentation, and were unable to confidently target improvement efforts in areas that would generate the greatest return on investment. To take a more data-driven approach, team members leveraged the Health Catalyst Analytics Platform, including their Late-Binding™ Data Warehouse and broad suite of analytics applications to develop a CDI analytics application. With the application, the team identified opportunities and thoroughly vetted them, before collaborating with physicians and service line leaders to educate providers on documentation improvements.

They achieved the following results:

  • 12.1 percent improvement in CV surgical cardiology CC/MCC capture rate.
  • 6.3 percent increase in medical cardiology CC/MCC capture rate.
  • Increased accuracy in publically reported risk adjusted quality metrics
  • Revenue capture improvement across the system – resulting in millions of dollars of additional reimbursements.
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Health Catalyst

Mission Health Receives 100 Percent of At-Risk Dollars in Payer Incentive Program

Since 2004, the US healthcare system has annually ranked last relative to 10 other developed nations in quality, access, efficiency, equity, and health outcomes. In an effort to improve the quality of care and patient outcomes in the U.S., the Center for Medicare and Medicaid (CMS) launched a series of quality incentive programs designed to generate a shift from volume to value-based reimbursement.  The health insurance industry soon followed their lead, and started writing contracts with hospitals in which a percentage of payment was based on performance on selected quality metrics.

Faced with the challenge of reporting on numerous incentive programs with differing expectations, Mission Health leveraged their enterprise data warehouse to aggregate the data needed to track the quality measures. With millions of dollars on the line with one particular payer, Mission developed an analytics application to monitor performance on the metrics in that contract.  The application was used to analyze whether performance feedback and workflow changes would lead to improved performance on the metrics, thus ensuring that they would maximize reimbursement, while improving care for patients.

Results:

  • Achieved 100 percent of all at risk dollars.
  • 100 percent of the ambulatory metric targets were exceeded, some by as much as 19 percent.
  • All five hospitals exceeded targets for 80 percent or more of their inpatient metrics.
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