Columbia University’s Learning Health System (LHS) initiative is supporting the first two pilot projects. The first uses machine learning to identify sepsis more quickly, and the second creates a pediatric equity and quality dashboard.
“This initiative combines the expertise of world-class physicians and researchers from the Presbyterian Church of New York. [NYP] Loreen Hill, MD, MBA, Group Senior Vice President and Chief Operating Officer, NYP/Columbia University Irving Medical Center (CUIMC), said in a statement: “We are excited to jointly develop innovative tools that improve patient care and health equity.”
The LHS initiative brings together years of excellence in clinical care, informatics, health systems research, policy, industrial engineering and operations, digital health, behavioral sciences, and, importantly, translational sciences at CUIMC. Built on expertise to solve problems for medical practices and providers. Researchers get real-time data from the same source.
Timothy J. Crimmins, MD, CUIMC’s Chief Medical Information Officer, said in a statement: “By connecting world-class physician-scientists to world-class patient care through dynamic learning health systems, we are driving the transformation needed to deliver the best experiences and outcomes for patients, staff and healthcare providers. “
Selected projects will draw on NewYork-Presbyterian/CUIMC’s extensive expertise and experience in its unique environment and the full weight of the institution’s conscience and commitment to closing the gap in healthcare.
Rapidly Identify Sepsis Using Machine Learning Algorithms
Sepsis is a disease caused by the body’s dysfunctional response to infection and is the leading cause of death in hospitalized patients. As the disease worsens, mortality increases with each delay in sepsis treatment.
The New York Presbyterian Church and hospitals around the world use a series of criteria based on abnormal vital signs and laboratory tests to identify sepsis. However, machine learning algorithms that extract data from electronic medical records may detect sepsis more quickly.
The research team uses a methodology that employs learning from observational data. This is a recently reported approach that has not been used for sepsis. It is hoped that their research will lead to improved care for patients with sepsis in the NYP and lead to larger federal studies.
Identifying and addressing inequalities in pediatric emergency care
Equity dashboard dynamically tracks real-time quality metrics stratified by sociodemographic characteristics to identify inequities and deliver rapid cycle quality improvement focused on reducing healthcare inequities May inform and ultimately strengthen the initiative.
CUIMC’s team of pediatricians will study and pilot the development of the Pediatric Equity and Quality Dashboard and Implementation Roadmap at the Morgan Stanley Children’s Hospital Emergency Department. The NYP Dalio Center for Health Justice hosts and manages the dashboard.
The pilot dashboard shows the inequality of one patient-centric metric (length of stay in the emergency department), showing disparities documented in the literature. The team believes that the dashboard and roadmap will reduce pediatric ED length of stay inequity, identify successful strategies that can be tested at other sites, and provide meaningful pediatric equity measures to support health initiatives in the pediatric population. and hopes to create a platform for recognizing and evaluating infrastructure in the region.
Columbia’s Learning Health System Initiative
Columbia University’s LHS Initiative is a collaborative effort between ColumbiaDoctors, NYP, CUIMC, Columbia Engineering, New York State Psychiatric Institute, Irving Institute for Clinical and Translational Research, and other collaborators across the Columbia campus.
Last fall, these stakeholders met for the first LHS symposium. The Pilot Awards were announced at the symposium and encouraged the submission of ideas and teams generated from the session. The pilot award research team is paired with Columbia Engineering experts who advise the team on dynamic optimization, network development, risk analysis and computational support.
The LHS initiative will ultimately form a network of teacher working groups to help address implementation barriers in the learning health systems cycle. The overarching goal leverages Columbia University’s world-renowned academics to integrate informatics, implementation science, and other methodologies at the point of care to improve quality and transfer scientific discovery to practice. to accelerate the transition.
The LHS Pilot is the first in a series of Strategic Priorities Pilot Awards created by the Irving Institute. The Irving Institute, home of CU’s Clinical and Translational Science Award (CTSA) Program hub, is among nearly 60 medical research institutions across the country working together to increase the speed at which research findings translate into improved patient care. One.
