The MIPS Quality category is worth 40% of your final MIPS score in the 2021 performance year. Selecting the best MIPS quality measures for your group is key to your success in the Quality category. To select the best measures, you need to identify, comprehend, and wrestle with the differences between MIPS quality measures. Download this list of MIPS 2021 quality measures to identify the different measures (rows) and all the differences in those measures (columns). Then, consider how those differences compliment or collide with differences in your medical group.
In the digital age, cloud computing is an essential part of more effective healthcare and precision medicine. But healthcare organizations themselves are still facing challenges in migrating to the cloud. Currently, only 8 percent of the EHR data needed for precision medicine and population health is being effectively captured and used.
As a primer on the Data Operating System (DOS™), this e-book, Bring Data Together for Value-Based Outcomes, describes how Health Catalyst’s platform brings healthcare organizations the benefits of a more flexible computing infrastructure in the cloud. Key lessons include fresh approaches to the healthcare cloud, starting with the three key organizational questions to ask before beginning the journey, and seven capabilities necessary to maximize an analytics investment, founded on Health Catalyst’s deep expertise in healthcare data and analytics technologies. Finally, Bring Data Together includes a data analytics capabilities assessment to pinpoint where an organization stands and determine the critical next steps.
Patient Safety, Health IT and Getting to the Bottom of all-cause harm: 10 Articles at the Intersection of Patient Care and Technology
Hospital and health system leaders looking to establish a comprehensive and effective safety culture are turning to technology to help get to the bottom of all-cause harm, reduce errors and improve outcomes.
This e-book, titled “Patient Safety, Health IT and Getting to the Bottom of All-Cause Harm: 10 Articles at the Intersection of Patient Care and Technology,” comprises multiple articles that examine recently launched patient safety solutions, strategies to reduce hospital readmissions and tactics for mitigating discrepancies in all-cause harm reporting.
This is your “go-to” resource guide of success stories, strategies, and best practice recommendations for:
- Improving patient safety through technology that detects risk for safety events in advance, giving clinicians time to intervene.
- How hospitals are reducing readmissions.
- Mitigating the patient safety, clinical, and business risks of nurse overtime and burnout.
- Enhancing early warning systems in labor and delivery departments and reducing maternal mortality and morbidity with artificial intelligence.
- Easing the pain of data integration for hospitals and medical manufacturers as master data management becomes a necessity.
- All-cause harm reporting and issues with measurement.
This book presents guidance for implementing care management programs in healthcare organizations. It includes practical guidance on structuring a care management program, establishing effective processes and teams, and continually measuring and improving its value to the organization.
Our goal is to help your organization meet its population health management goals—improving outcomes, reducing costs, and increasing the quality of life for the patients you serve. This handbook includes recommendations on the role of care management to support population health and how an organization can prepare to implement care management.
Driven by unsustainable costs and mediocre health outcomes, the nation is moving toward new payment models that create incentives for improved care. Data and analytics have emerged as a critical part of the toolset that healthcare organizations need to adapt and thrive, and this handbook focuses on how to embed such tools in the context of an overarching population health effort.
This handbook aims to provide practical and flexible guidance for your organization’s journey toward population health management, with a specific focus on the analytics to support this effort. We believe—and have seen among our client partners—that when financial, clinical, analytic, and operational leaders work in an aligned way, they can succeed in achieving the promise of population health management: better care at lower costs, a stronger organization, and a healthier community.
This handbook was inspired by our clients—by what they know and where they want to go. Our clients know that data drives their organizations and is a critical tool for navigating a changing healthcare landscape. As the breadth, complexity, and volume of healthcare data grows, they find themselves increasingly challenged to leverage this asset to the benefit of their mission: improving care and lowering costs.
This handbook presents our approach to addressing this challenge. It provides practical, flexible, and actionable guidance for executing a data governance program that aligns with the organization’s priorities, supports effective clinical and business decision-making, and maximizes the value of data to improve outcomes.
Health Catalyst believes that a sound, consistently used improvement method is essential for meaningful and sustained gains in healthcare outcomes. This handbook presents our approach: a framework of guiding questions to help your improvement teams understand and solve problems in clinical, financial, and operational processes. Based on best practice and informed by our work helping clients conduct data-driven improvement work, the framework aims to help strengthen your organization and build health in your community.
This handbook is intended to be a practical, flexible, and actionable guide that can be adapted to meet your specific needs.
This handbook presents principles and activities for implementing outcomes improvement governance in healthcare. It recommends team structures based on best practice and our work helping clients achieve meaningful and sustainable improvement. Our goal is to help you create capable, engaged, and empowered teams—teams that can move your organization from “the craft of medicine” toward a more efficient and reliable system for producing improvements that build health in your community and strength in your organization.
We intend this handbook to be practical, flexible, and actionable. We present just enough content to help you understand each recommended step (what it is, who’s involved, how to do it) and refer to resources that you may find helpful as you take the step. Adapt these recommendations to meet the needs of your organization based on what’s working well, where there are gaps, and how far along you are in your outcomes improvement journey.
This handbook, almost a year in full-time development, is the summation of the best practices of leading clinicians and health systems in fundamental and systematic healthcare transformation efforts. All healthcare delivery organizations will need to transform themselves in order to meet the quality, safety and cost challenges confronting healthcare. While this will require a true multidisciplinary, highly collaborative approach, real success will mandate the passionate engagement of clinical leaders. This handbook is a knowledge source for clinical, operational, and front-line caregivers, who are involved in improving processes, reducing harm, designing and implementing new care delivery models, and undertaking the difficult task of leading meaningful change on behalf of the patients they serve. In detail, it covers the content, analytics, and deployment systems needed to provide meaningful and sustainable change.
To navigate healthcare transformation, hospitals and other healthcare organizations will need a solid foundation built upon a data warehouse. This e-book helps organizations determine the best type of data warehouse for their needs, reviews the alternatives to data warehousing, explains the details of late-binding, lists the key criteria in selecting a data warehouse and analytics vendor, and gives real world examples of healthcare organizations who’ve used their data warehouses to help identify, develop and measure improvement projects and increase ROI.