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Learning Health Systems and Quality Improvement

Learning Health Systems and Quality Improvement

The mission of the Michigan Value Collaborative (MVC) is to improve the health of Michigan through sustainable, high-value healthcare with a vision to help provide the right care, at the right time, at the right cost. As part of this, MVC helps its members better understand their performance using robust multi-payer data, customized analytics, and at-the-elbow support. In addition, MVC fosters a collaborative learning environment to enable providers to learn from one another and share best practice. All of this is designed to help members respond to change, drive quality improvement, and improve performance.

Improving performance is often easier said than done – a phenomenon often referred to as the “60.30.10 Challenge”. Following the review of health learning systems in Australia, this phenomenon was identified as a key challenge that the healthcare system has faced for three decades. Despite change and areas for improvement being identified throughout healthcare, only 60% of evidenced based care is provided to patients, 30% of care is identified as waste or duplication, and at least 10% of patients experience adverse events or medical harm. With this in mind, can the current healthcare system embrace the many new technologies and advancements in medicine on the horizon?

While these new advances in technology have the ability to improve care and prolong life, there is conversely an addition of complexity and increased risk with utilizing them. It is important to understand that healthcare systems are complex and typically do not respond in a linear way to change. A collaboration of healthcare providers set up in Australia realized some key activities for improvement   initiatives within health care systems . These activities were included in the setting up of the collaborative known as the Translational Cancer Research Network and involved incentives, resources, administrative support to provide encouragement, collaboration and reduced constraints, data support, and expertise in implementation science. A number of new projects such as increased consumer engagement and improvement in diagnosis for various cancers came out of involvement in this network.

While root-cause analysis has long been used to identify medical failures, this may not be the best method to effectively establish safety protocols to prevent further harm due to the complex pathways within healthcare that are infrequently repeated. Instead, healthcare needs to take a different approach by introducing models of care that promote collaboration, exceed independent specialties, and advocate for combining hospital, primary care, community agencies, and elder care to navigate well-informed patients through evidenced based healthcare pathways along the continuum of care. There is a need to shift the paradigm and learn from what is going well and those that are successful. By spreading good practices across all healthcare systems, allowing healthcare teams to effectively improve processes in real time, and teaching clinicians to manage data and understand continuous improvement methods, a learning system can be developed.

By creating a learning system, efforts to improve care can be better aligned. Drivers of the system include a commitment to improvement, being ready and prepared for change, being aware of the capacity of and barriers to progress, knowledge of implementation strategies, and lastly providing leverage and resources to learning. In addition, data can be utilized by these fluid learning systems to aid patient and clinician decision-making. It is hoped that a flexible system with relevant information and data to make the right decision, and the ability to adjust processes will help to reenergize clinicians, enabling them to provide increasingly appropriate, safer, and higher quality care with less waste.

The Michigan Value Collaborative (MVC) can help you by providing claims data across 40 different medical and surgical conditions. Additionally, we have regular workgroups that meet to share best practices. If you are interested in custom analytics for your institution, joining a workgroup or want to learn more about what MVC has to offer, please contact the Coordinating Center at michiganvaluecollaborative@gmail.com.

 

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