
AI / Machine Learning
As technology evolves, artificial intelligence (AI) is becoming a part of everyday life, and that includes healthcare. Complex algorithms can be used to help clinicians make care decisions and identify patients at risk of diseases, complications and more. But AI implementation is in its very early stages. Regenstrief Institute is conducting extensive research and testing to develop tools that improve patient care.
Artificial intelligence can be a tool to help clinicians maximize the time they have with their patients and also understand outside factors that may be influencing a patient’s health. Regenstrief researchers are working on a number of clinical decision support solutions using machine learning and natural language processing to analyze information from electronic health records (EHRs) and data on social determinants of health. Research scientists have collaborated with partners to create a number of different tools already in use in real-world settings, including Child Health Improvement Through Computer Automation (CHICA), HealthDart and Uppstroms. Other projects involve algorithms to identify patients who might be most at risk for a certain outcome or disease.
Artificial intelligence can also be useful in public health reporting and disease tracking. Research from Regenstrief Institute and IUPUI found that machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. They also use AI to investigate associations between symptom clusters and disease. Researchers continue to build natural language processing tools and explore ways to leverage AI and health information exchanges to better identify cases of disease, symptoms, risk factors and other information that will lead to improved public health and public health reporting.
Through its research and innovative solutions, Regenstrief is helping to shape how artificial intelligence is developed and applied in healthcare. Through collaboration with external partners, researchers are able to test, refine and implement new tools that will usher in a new era in healthcare.
Projects
Related News & Stories
Artificial Intelligence conference at Regenstrief features latest developments, future of technology
Professionals from health departments, hospital systems, universities and research organizations came together for a three-day artificial intelligence conference at Regenstrief Institute to better understand the current...
Redesigning diabetes technology to detect low blood sugar in older adults with diabetes and Alzheimer’s disease
Regenstrief Institute Research Scientist April Savoy, PhD, a human factors engineer and health services researcher, is developing and testing user-friendly health information tools and technology designed...
‘Memory loss is not normal aging’ — Regenstrief scientist highlights challenges of living with dementia
Regenstrief Institute Research Scientist NiCole Keith, PhD, addressed the many challenges faced by the growing number of older Hoosiers living with dementia. She was a guest...
First study to show waning effectiveness of 3rd dose of mRNA vaccines
Dr. Brian Dixon (left) and Dr. Shaun Grannis (right) Data also show people who are Hispanic or Black half as likely to receive booster than people...
$5 million grant to study noninvasive, low-cost methods for early detection of Alzheimer’s
Three studies will evaluate the effectiveness of using passive digital markers Researchers from Indiana University School of Medicine, Regenstrief Institute, IUPUI and University of Miami Miller...
‘Casting for Recovery’: Regenstrief scientist offers support to breast cancer survivors
A Regenstrief Institute research scientist volunteered her time to offer support to breast cancer survivors during a unique retreat. Shelley Johns,PsyD, served as a psychosocial facilitator...