Digital Application Skills and Documentation Skills among Nurses in a Private Hospitals in Ormoc City

This study explored the relationship between personal characteristics, digital application skills, and perceptions of electronic medical records (EMRs) among 208 registered nurses in four hospitals in Ormoc City, Leyte. Guided by the Technology Acceptance Model (TAM) and the Theory of Reasoned Action (TRA), it examined how factors like age, gender, education, clinical area, hospital classification, and digital training influence nurses' acceptance and use of EMRs in documentation. Key findings showed that stronger digital skills correlated with higher perceived utility of EMRs, aligning with TAM’s principle of perceived usefulness (PU). Digital training positively influenced ease of use, reflecting TAM’s perceived ease of use (PEOU), while clinical area and age significantly affected EMR perceptions. However, gender, education, and employment type had no significant impact on EMR utility. The study highlights the need for targeted digital training programs to improve EMR adoption and usage. Recommendations include a Nursing Digital Application and Documentation Skills Training Plan tailored to nurses’ specific needs to enhance digital integration in workflows.

Authors

Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.12030001
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Application Skills and Documentation Skills among Nurses in a Private Hospitals in Ormoc City

Giovanni N. Enero, Joan P. Bacarisas
International journal of research and scientific innovation
Technology-Enhanced Education Studies
article

Digital Application Skills and Documentation Skills among Nurses in a Private Hospitals in Ormoc City

Giovanni N. Enero, Joan P. Bacarisas
article en

Abstract

This study explored the relationship between personal characteristics, digital application skills, and perceptions of electronic medical records (EMRs) among 208 registered nurses in four hospitals in Ormoc City, Leyte. Guided by the Technology Acceptance Model (TAM) and the Theory of Reasoned Action (TRA), it examined how factors like age, gender, education, clinical area, hospital classification, and digital training influence nurses' acceptance and use of EMRs in documentation. Key findings showed that stronger digital skills correlated with higher perceived utility of EMRs, aligning with TAM’s principle of perceived usefulness (PU). Digital training positively influenced ease of use, reflecting TAM’s perceived ease of use (PEOU), while clinical area and age significantly affected EMR perceptions. However, gender, education, and employment type had no significant impact on EMR utility. The study highlights the need for targeted digital training programs to improve EMR adoption and usage. Recommendations include a Nursing Digital Application and Documentation Skills Training Plan tailored to nurses’ specific needs to enhance digital integration in workflows.

International journal of research and scientific innovationVol. XII(III)
Openalex Percentile: Top 95%
Technology-Enhanced Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.