Big data analytics and continually learning health systems are required to improve outcomes and share best practices with peers.
Big Data Health
Big Data Health- Healthcare organizations looking to quickly translate research into best practices for clinical care should focus on transforming themselves into learning health systems that rely heavily on insights from big data analytics, says Peter Embi, MD, President and CEO of Regenstrief Institute.
In a learning health system, clinicians and leaders work together to identify actionable insights and communicate data to patients in ways that support shared decision-making.
Regenstrief Institute, in collaboration with the Indiana University School of Medicine, has received a $3.4 million grant from the Agency for Healthcare Research and Quality (AHRQ) and the Patient-Centered Outcomes Research Institute (PCORI) to train the next generation of learning health system researchers.
“The goal of the learning health system is to deliver better outcomes at lower costs, and to do that in a way that helps us improve the care we provide,” Embi told HealthITAnalytics.com.
“With the advent of EHRs and health IT systems, we can collect a lot of data about care experiences, and mine this data to make discoveries and improve care in the future. We always try to practice evidence-based medicine, and because of health IT, we can now generate that evidence through real-world experiences.”
Regenstrief and IU School of Medicine are among eleven US institutions that AHRQ and PCORI have selected to support learning health system researchers. The grants will total $40 million over five years, a significant initiative for an industry that has typically separated research ventures and care delivery.
“The most fundamental challenge is that for many years, the healthcare system has thought of research and care as very distinct activities, where the application of research findings to practice is the appropriate relationship,” Embi said.
“We need to leverage everyday healthcare activities to inform and generate evidence, and then use that evidence to improve care for individuals in the future. We need to align the way we implement and use our technology, how we collect information, and how we apply that information back to the system to learn.”
Seamlessly integrating research and clinical care will require providers to view each and every patient encounter as a learning experience, and to utilize those lessons to improve care in the future, Embi believes.
“Traditionally, healthcare has been more about treating individual patients. Our regulatory structures are not necessarily where they need to be in order to change that. Our incentives, in terms of how we pay for care and how we fund the healthcare system, don’t really support a culture of learning,” he said.
“The more we can understand the importance of generating evidence through practice, and the more we can leverage that evidence to improve care for people in the future, the more we can recognize that we need to align those incentives to create learning health systems.”
Regenstrief Institute will play a critical role in preparing clinicians to consider care delivery as a learning process, and to create optimal outcomes for every patient.
Article Credit: HealthIT Analytics
The post Learning Health Systems, Big Data Key to Improving Outcomes appeared first on Statii News.
source http://news.statii.co.uk/learning-health-systems-big-data-key-to-improving-outcomes/
No comments:
Post a Comment