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Related Experiment Video

Updated: Jan 7, 2026

Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment

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Published on: December 23, 2020

Video Annotation in Nurse Home Visits: Methodology Development and Pilot Evaluation.

Zhihong Zhang^1,2, Pallavi Gupta¹, Jiyoun Song³

¹School of Nursing, Columbia University.

Computers, Informatics, Nursing : CIN

|December 18, 2025

Summary

This summary is machine-generated.

This study developed a video annotation method for home health care (HHC) to capture missed environmental data. The method successfully mapped most annotations to standardized clinical terminologies, enhancing electronic health records (EHRs).

Keywords:

SNOMED CT data normalization home health care nursing informatics video annotation

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Last Updated: Jan 7, 2026

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Published on: July 27, 2018

Area of Science:

Health Informatics
Clinical Documentation
Digital Health

Background:

Home health care (HHC) often misses crucial environmental risk factors in electronic health records (EHRs).
Video recordings offer a potential solution to capture these overlooked details.
Standardizing clinical terminologies is essential for integrating diverse data sources.

Purpose of the Study:

To develop and validate a systematic video annotation methodology for home health care settings.
To map video-derived annotation codes to standardized clinical terminologies like SNOMED CT.
To assess the feasibility and practicality of integrating video data with EHRs.

Main Methods:

Four simulated nurse home-visit videos were systematically annotated.
Annotation codes were mapped to SNOMED CT and other Unified Medical Language System (UMLS) Metathesaurus terminologies.
The mapping accuracy and alignment with standardized codes were analyzed.

Main Results:

A total of 97 annotation codes were identified, with 68% at the data level, primarily environmental observations.
Over 88% of the identified codes mapped exactly to SNOMED CT, demonstrating high compatibility.
The methodology proved feasible, with most codes aligning well with standardized clinical terminologies.

Conclusions:

The proposed video annotation methodology is feasible and practical for home health care.
This approach can enrich EHR data with valuable environmental observations.
Future research should explore integration with EHRs for improved patient outcome prediction.