Short description: In hospital emergency department, medical radiological examinations should be completed as soon as possible with findings filled into detailed EHR forms. There is a need for a technological tablet and AI solution that recognizes handwritten comments in an electronic notebook.
Market potential: LSMU Kaunas hospital serves more than 250 emergency patients and 100 X-rays daily. Although most are smaller, there are more than hundred more hospitals in Lithuania with similar needs
Desired result: Developed and delivered AI driven software combined with electronic notebooks that recognizes handwritten text and directly updating hospital patient’s EMR data. Solution saves time for healthcare professionals, reduces the likelihood of human error. The quality of healthcare services is increase.
Information on challenge owner: Public hospital.
Keywords: AI; OCR; Tablet; Healthcare; EMR