– Artificial intelligence (AI) is making a dent in healthcare in the US and around the globe, helping leaders in Europe, South America, and Asia improve outcomes and cut costs, dissolving key pain points in medicine.
So said presenters at HL7 International’s recent panel titled: The Use of Artificial Intelligence (AI) in Healthcare, hosted as part of the organization’s 35th Annual Plenary Meeting.
The panel featured four different presentations discussing the different applications of AI in the healthcare realm and was moderated by Walter Suarez, MD, MPH, HL7 International Board Chair.
The first presentation was done by Xihong Lin, PhD, a professor of biostatistics and the coordinating director of the program in quantitative genomics at Harvard University.
In her presentation, AI in Genomics & Population Health, Lin explained that in the last 10 years, the understanding of genome data and whole-genome sequencing data has rapidly expanded with the help of electronic health records. The goal of this data is to improve precision medicine and preventive care strategies.
Promoted by the completion of the Human Genome Project, researchers began putting extensive resources towards whole genome sequencing, emerging with two large whole-genome sequencing programs: TopMed and NHGRI Genome Sequencing Program.
According to Lin, data collected from these genome sequence efforts can be used to address health disparities and advance precision medicine for chronic diseases. However, Lin also highlighted that the collection of genome sequencing information creates large amounts of data for each patient.
With the use of biobanks, genome data is accessible, stored effectively, and can be easily analyzed. Data in the biobank can also be used to diagnose other people with a particular condition and can develop insight into prevention strategies, improving population health.