AIMC Topic: Patient Discharge Summaries
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Automated generation of discharge summaries: leveraging large language models with clinical data.
Scientific reports
May 12, 2025
This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical data. The structured data used to produce AI-generated summaries were manually extracted from electr...
Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study.
JMIR medical informatics
Apr 9, 2025
BACKGROUND: Valuable insights gathered by clinicians during their inquiries and documented in textual reports are often unavailable in the structured data recorded in electronic health records (EHRs).
Effectiveness of Transformer-Based Large Language Models in Identifying Adverse Drug Reaction Relations from Unstructured Discharge Summaries in Singapore.
Drug safety
Feb 21, 2025
INTRODUCTION: Transformer-based large language models (LLMs) have transformed the field of natural language processing and led to significant advancements in various text processing tasks. However, the applicability of these LLMs in identifying relat...
FABLE: A Semi-Supervised Prescription Information Extraction System.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Prescription information is an important component of electronic health records (EHRs). This information contains detailed medication instructions that are crucial for patients' well-being and is often detailed in the narrative portions of EHRs. As a...
Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain.
Artificial intelligence in medicine
Sep 27, 2017
OBJECTIVES: To examine the feasibility of the automated creation of meaningful free-text summaries of longitudinal clinical records, using a new general methodology that we had recently developed; and to assess the potential benefits to the clinical ...
Patient Discharge Summaries
Continuity of Patient Care
Critical Care
Medical Informatics
Automation
Length of Stay
Time Factors
Health Status
Feasibility Studies
Knowledge Bases
Natural Language Processing
Tertiary Care Centers
Retrospective Studies
Intensive Care Units
Electronic Health Records
Humans
Prescription extraction using CRFs and word embeddings.
Journal of biomedical informatics
Jul 4, 2017
In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the others contain medication names and prescription information. Extracting prescriptions from discharge sum...
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.
Translational psychiatry
Oct 18, 2016
The ability to predict psychiatric readmission would facilitate the development of interventions to reduce this risk, a major driver of psychiatric health-care costs. The symptoms or characteristics of illness course necessary to develop reliable pre...
Automated Reconciliation of Radiology Reports and Discharge Summaries.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
We study machine learning techniques to automatically identify limb abnormalities (including fractures, dislocations and foreign bodies) from radiology reports. For patients presenting to the Emergency Room (ER) with suspected limb abnormalities (e.g...
Application of artificial intelligence (AI) in the creation of discharge summaries in psychiatric clinics.
International journal of psychiatry in medicine
May 1, 2025
BackgroundThe integration of artificial intelligence (AI; ChatGPT 4.0) into medical workflow presents a great potential to enhance efficiency and quality. The use of AI in the creation of discharge summaries is particularly promising. The course of e...
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