MPIRIK CARDIAC INTELLIGENCE
A SCALABLE SYSTEM The team sees its work both as a proof of concept and the tip of the iceberg . “ The technology and approach we used is entirely scalable across all facets of the delivery of medical care ,” Dr . Booker says . “ There ’ s no limit to the services that can be provided across UAB Health System . It only requires patience and algorithm development .”
Dr . Andrikopoulou connects the potential of machine learning and artificial intelligence with the need for clinicians to expand their toolkit . “ This program is a prime example of how physicians cannot do it all ,” she says . “ We have to recognize that we can no longer be the sole agents responsible for providing high-quality care .”
In turning to Mpirik , the team was able to process and sort a large volume of data . “ With this additional information , we gained insights that can transform the way we deliver care ,” Dr . Andrikopoulou says .
Dr . Booker says the technology ’ s power is in being able to quickly and accurately review charts to identify patients who may qualify for certain types of care . “ Health care delivery is a winding path , and patients occasionally slip through the cracks , either at the patient end or the health care end ,” he says . “ What drives our effort is a desire to ensure that all of our patients receive equitable , high-value care .”
Referring to the Mpirik project as a labor of love , Dr . Booker says his interest in natural language processing and artificial intelligence as a diagnostic tool grew organically . “ I have an interest in quality improvement and health system management ,” he says . “ But I took the next step because I saw a gap in our ability to identify patients with clinically significant heart valve disease .”
He quickly internalized the technology ’ s potential . “ If we allow the system the time it needs to understand patients , there ’ s no ceiling ,” Dr . Booker says . “ We ’ re limited only by the guardrails of our imaginations .” uabmedicine . org 29