International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 3
May-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

The Role of Health Information System, Service Innovation, and Data Governance in Enhancing Hospital Quality Standards in University of Perpetual Help Dr. Jose G. Tamayo Medical Center

Author(s) Juan Miguel Domingo Fernandez Tamayo
Country Philippines
Abstract Hospitals adopt advanced systems to improve efficiency, service delivery, and quality of care. Health Information Systems, service innovation, and data governance are important factors in modern healthcare, as they support accurate data management, and ensure patient information security. Despite many international studies, there is limited research in the Philippine context on how these factors collectively influence hospital quality standards. Thus, this study aimed to determine the significant correlation between health information systems, service innovation, data governance, and hospital quality standards. This study used a descriptive-correlational design and simple random sampling to select 204 employees of University of Perpetual Help Dr. Jose G. Tamayo Medical Center, with data collected through a self-made questionnaire and analyzed using weighted mean and ranking, Pearson-r correlation, and stepwise multiple regression. Results showed that all variables were rated very high (3.38–3.53) and had significant relationships (p = 0.000). Regression analysis indicated that the predictors significantly influence hospital quality standards, explaining 72.3% of its variance (R² = 0.723, F = 85.530, p = 0.000), with data governance as the strongest predictor (β = 0.318, p < 0.01), followed by patient convenience and new services. The findings suggest that strengthening data governance, improving service innovation, and enhancing health information systems contribute to better hospital quality standards, and hospitals are encouraged to sustain strategies that support digital systems, innovative services, and strong data governance.
Keywords Data Governance, Health Information System, Hospital Quality Standards, Service Innovation
Field Business Administration
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-17
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.78613
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals