MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering

Autor: Srivastava, Roomani, Prasad, Suraj, Bhat, Lipika, Deshpande, Sarvesh, Das, Barnali, Jadhav, Kshitij

Introduction: The labour-intensive nature of data extraction from sources like discharge summaries (DS) poses significant obstacles to the digitisation of medical records particularly for low- and middle-income countries (LMICs). In this paper we pre

Externí odkaz: http://arxiv.org/abs/2405.02664

The Importance of Quality Assurance and Quality Improvement in Low- and Middle-Income Settings.

Autor: Bhat, Lipika, McCammon, Carol

Publikováno v: Current Bladder Dysfunction Reports; Mar2021, Vol. 16 Issue 1, p1-5, 5p

Emergency Medicine Residents on Electronic Medical Records: Perspectives and Advice.

Autor: Hockstein MA; Emergency Medicine, Emory University, Atlanta, USA., Pope SN; Emergency Medicine, UH Regional Hospitals, Richmond Heights, USA., Donnawell K; Emergency Medicine, St. Louis University, St. Louis, USA., Chavez SA; Emergency Medicine, Medstar Georgetown University Hospital, Washington, USA., Bhat L; Emergency Medicine, University of Kentucky, Lexington, USA.

Publikováno v: Cureus [Cureus] 2019 Feb 07; Vol. 11 (2), pp. e4027. Date of Electronic Publication: 2019 Feb 07.