AI to parse handwritten records and update EMR

Library of Challenges

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

Timing: N/A.

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

type of
Hardware solution, Improvement of an existing process, New technological approach, Software solution,
Industry Sector
Health Tech
For Who
Public body, institution or other non-profit organisation
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