Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Automated evaluation can distinguish the good and bad AI responses to patient questions about hospitalization.

NPJ digital medicine·2026

Same author

Quantifying Hallucinations in Language Language Models on Medical Textbooks.

ArXiv·2026

Same author

BioACE: An Automated Framework for Biomedical Answer and Citation Evaluations.

ArXiv·2026

Same author

A Dataset and Resources for Identifying Patient Health Literacy Information from Clinical Notes.

ArXiv·2026

Same author

A Dataset and Benchmark for Consumer Healthcare Question Summarization.

ArXiv·2026

Same author

A Dataset for Addressing Patient's Information Needs related to Clinical Course of Hospitalization.

Scientific data·2026

Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 2, 2026

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

Published on: August 2, 2017

A simple method to extract key maternal data from neonatal clinical notes.

Swapna Abhyankar¹, Dina Demner-Fushman¹

¹National Library of Medicine, Bethesda, MD.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|February 20, 2014

Summary

This summary is machine-generated.

Extracting maternal history from clinical notes improves neonatal care and research. An algorithm accurately retrieves crucial data like maternal age and lab results for newborns in intensive care.

More Related Videos

Electrophysiological Measurements and Analysis of Nociception in Human Infants

Electrophysiological Measurements and Analysis of Nociception in Human Infants

Published on: December 20, 2011

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Published on: October 25, 2015

Related Experiment Videos

Last Updated: May 2, 2026

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

The 4-vessel Sampling Approach to Integrative Studies of Human Placental Physiology In Vivo

Published on: August 2, 2017

Electrophysiological Measurements and Analysis of Nociception in Human Infants

Electrophysiological Measurements and Analysis of Nociception in Human Infants

Published on: December 20, 2011

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Published on: October 25, 2015

Area of Science:

Neonatal Medicine
Clinical Informatics
Data Science

Background:

Maternal history is vital for neonatal clinical care and research.
Maternal data is often unstructured and embedded within clinical notes in newborn records.
Limited structured maternal data hinders neonatal research and care.

Purpose of the Study:

To develop and validate an algorithm for extracting critical maternal history from unstructured clinical notes.
To improve the accessibility and utility of maternal data for neonatal studies.
To facilitate structured data collection for neonatal intensive care unit (NICU) research.

Main Methods:

Utilized data from the MIMIC-II database for a study on NICU newborns.
Developed a pattern-based algorithm using regular expressions and filters to extract maternal age, gravida/para status, and laboratory results.
Manually derived extraction patterns from a subset of clinical notes.

Main Results:

Achieved high recall (0.91-0.99) and precision (0.95-1.0) in extracting maternal data for 289 infants.
Successfully converted unstructured maternal information into a structured format.
Demonstrated the algorithm's effectiveness in a real-world clinical dataset.

Conclusions:

The developed algorithm effectively extracts essential maternal data from clinical notes.
This method enhances the usability of maternal history for neonatal research and clinical decision-making.
The approach is adaptable for other research datasets and clinical documentation systems.