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Knowledge Center

Value-Based Care: Four Key Competencies for Success

How prepared are healthcare organizations to enter into value-based care? Many may not be ready. While early value-based care adopters have focused on improving and measuring quality, they’ve often overlooked steps to bear the associated financial risk. Now that health systems can enter into alternative payment models and risk-based contracts, they need to ensure that cost is as much a priority as quality. Health systems can achieve sustainable value-based care success by optimizing the five core competencies of population health management:

  1. Governance that educates, engages, and energizes.
  2. Data transformation that addresses clinical, financial, and operational questions.
  3. Analytic transformation that aligns information and identifies populations.
  4. Payment transformation that drives long-term sustainability.
  5. Care transformation as a key intervention in value-based contracts.

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The Best Solution for Declining Medicare Reimbursements

I am one of the brave souls who takes the time to read the report issued each spring by the Medicare Payment Advisory Commission (Medpac). The report shows the numbers of Medicare beneficiaries and claims are growing; healthcare organizations are increasingly losing money on Medicare; payment increases certainly will not keep pace with declining margins; and Medicare policies will continue to incentivize quality and push providers to assume more risk. But the report also reveals that some healthcare organizations—referred to as “relatively efficient”—are making money from Medicare with an average 2 percent margin. How do you become one of these organizations? And how do you target and counter Medicare trends that impact your business?

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Five Data-driven Patient Empowerment Strategies

Data plays a big role toward empowering patients to become more involved in their care. With data, digital tools, and education, patient empowerment can act like a blockbuster drug to produce exceptional outcomes. Data empowers patients five ways:

  1. Promotes patient engagement.
  2. Produces patient-centered outcomes.
  3. Helps patients practice self-care.
  4. Improves communication with clinicians.
  5. Leads to faster healing and independence.
Clinicians using creative, innovative care strategies, and patients with access to the right tools and technology, can produce remarkable results in terms of cost, health outcomes, and experience.

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10 Motivational Interviewing Strategies for Deeper Patient Engagement in Care Management

Care management programs are most successful when patients are deeply engaged in their own care. Using the motivational interviewing technique, care managers work with patients to identify personal care goals and motivators to follow the care management program. Ten strategies guide the motivational interviewing process, each focusing on patient-centered insights (e.g., pros and cons to following care management and barriers to adherence). With mobile technology to support these interactions, motivational interviewing can become a seamless, and vital, part of the care management workflow.

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Health Equity: Why it Matters and How to Achieve it

According to the Robert Wood Johnson Foundation, health equity is achieved when everyone can attain their full health potential and no one is disadvantaged from achieving this potential because of social position of any other socially defined circumstance. Without health equity, there are endless social, health, and economic consequences that negatively impact patients, communities, and organizations. The U.S. ranks last on measures of health equity compared to other industrialized countries. Healthcare contributes to this problem in many ways, including ignoring clinician biases toward certain populations and overlooking the importance of social determinants of health. Fortunately, there are effective, tested steps organizations can take to tackle their health inequities and disparities (e.g., incorporating nonmedical vital signs into their health assessment processes and partnering with community organizations to connect underserved populations with the services they need to be healthy). Some health systems, such as Allina Health, have achieved impressive results by making health equity a systemwide strategic priority.

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Introducing Touchstone: The Next-Generation Healthcare Benchmarking and Opportunity Prioritization Tool

To do healthcare benchmarking effectively and efficiently, healthcare organizations need to know where they’re underperforming, where they’re performing well, and how to focus and prioritize their improvement efforts. They also need a new approach to benchmarking that isn’t limited to the inpatient setting. The Health Catalyst® Touchstone™ product is the next-generation healthcare benchmarking and prioritization tool that delivers what antiquated benchmarking technologies cannot:

  • Risk-adjusted benchmarking across the full continuum of care.
  • Artificial intelligence-powered recommendations.
  • Ranked lists of improvement opportunities.
  • Detailed analytics and an intuitive user interface that enable the easy exploration of factors driving performance issues.
  • Democratized benchmarking that’s available to as many people as the organization wants.
Touchstone was designed with many users and use cases in mind, from population health analysts looking to improve ACO performance to C-suite leaders who need a data-driven approach to prioritizing improvement opportunities.

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Data Science for Healthcare: What Today’s Leaders Must Know

Healthcare leaders who understand data science can embrace the significant improvement potential of the industry’s vast data stores, including an estimated $300 billion in annual costs savings. Executives must know the value of data science to understand the urgency in investing and supporting the technology and data scientists to fully leverage data’s capabilities. Today’s data science-savvy executives will lead the healthcare transformation by enabling faster, more accurate diagnoses and more effective, lower-risk treatments.

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The Impact of FDA Digital Health Guidance on CDS, Medical Software, and Machine Learning

The FDA recently released guidance documents on the use of clinical decision support (CDS) and medical software that may be of concern to forward-thinking healthcare innovators who rely on these technologies to deliver exceptional care and improve outcomes. What will be the impact of this guidance on machine learning and predictive analytics efforts? How will the guidance affect timelines, costs, and effectiveness of ongoing machine learning implementation? As healthcare delivery increasingly relies on digital innovation and support, more questions emerge about the governance of the accompanying tools and technology. This article provides a summary of the FDA guidance on CDS, how CDS is defined, whether or not CDS is exempt from regulation, and how the FDA intends to enforce compliance. It also summarizes the FDA guidance on medical software, what software is exempt from regulation, and helps to answer some of the questions surrounding the digital health space.

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Five Lessons for Building Adaptive Healthcare Data Models that Support Innovation

Healthcare data models are the backbone of innovation in healthcare, without which many new technologies may never come to fruition, so it’s important to build models that focus on relevant content and specific use cases. Health Catalyst has been continuously refining its approach to building concise yet adaptive healthcare data models for years. Because of our experience, we’ve learned five key lessons when it comes to building healthcare data models:

  1. Focus on relevant content.
  2. Externally validate the model.
  3. Commit to providing vital documentation.
  4. Prioritize long-term planning.
  5. Automate data profiling.
These lessons are essential to apply when building adaptive healthcare data models (and their corresponding methodologies, tools, and best practices) given the prominent role they play in fueling the technologies designed to solve healthcare’s toughest problems.

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Four Effective Opioid Interventions for Healthcare Leaders

The crisis of opioid abuse in the U.S. is well known. What may not be so well known are the ways for clinicians and healthcare systems to minimize misuse of these addictive drugs. This article describes the risks for patients when they are prescribed opioids and the need for opioid intervention. It offers four approaches that healthcare systems can take to tackle the crisis while still relieving pain and suffering for the patients they serve:

  1. Use data and analytics to inform strategies that reduce opioid availability
  2. Adopt prescription drug monitoring programs to prevent misuse
  3. Adopt evidence-based guidelines
  4. Consider promising state strategies for dealing with prescription opioid overdose
Opioid misuse is a public health epidemic, but treatments are available and it’s time for those involved in the delivery of healthcare to change practices.

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