A Narrative Theoretical Framework for Integrating AI into Electronic Medical Record Management for Allied Health Practice

This conceptual paper investigates the role of artificial intelligence (AI) in advancing human-centered Electronic Health Medical Records (EMRs) to enhance care delivery by Allied Health Professionals (AHPs) from hospital to home care. Anchored in the Technology–Organization–Environment (TOE) review framework, the study explores the enablers and barriers to AI integration into EMRs during an organization’s digital maturity journey, with the aim of guiding product and project management to successful deliverables and acceptance to underrepresented Allied Health users. A literature review was conducted using Scopus, EBSCO, and websites of professional bodies. AI is positioned not as an end goal, but as a mediating tool that - when aligned with the nuanced needs of AHPs - can enhance clinical outcomes. This paper proposes a conceptual framework and literature-informed propositions to support future empirical testing in international, digitally diverse healthcare environments, with particular attention to deployment challenges and opportunities in the US and the UK.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.03.104
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Narrative Theoretical Framework for Integrating AI into Electronic Medical Record Management for Allied Health Practice

Michael D. Dzandu, Jonghyuk Cha, Emily Bussick
Procedia Computer Science
Artificial Intelligence in Healthcare and Education
article

A Narrative Theoretical Framework for Integrating AI into Electronic Medical Record Management for Allied Health Practice

Michael D. Dzandu, Jonghyuk Cha, Emily Bussick
article en

Abstract

This conceptual paper investigates the role of artificial intelligence (AI) in advancing human-centered Electronic Health Medical Records (EMRs) to enhance care delivery by Allied Health Professionals (AHPs) from hospital to home care. Anchored in the Technology–Organization–Environment (TOE) review framework, the study explores the enablers and barriers to AI integration into EMRs during an organization’s digital maturity journey, with the aim of guiding product and project management to successful deliverables and acceptance to underrepresented Allied Health users. A literature review was conducted using Scopus, EBSCO, and websites of professional bodies. AI is positioned not as an end goal, but as a mediating tool that - when aligned with the nuanced needs of AHPs - can enhance clinical outcomes. This paper proposes a conceptual framework and literature-informed propositions to support future empirical testing in international, digitally diverse healthcare environments, with particular attention to deployment challenges and opportunities in the US and the UK.

Procedia Computer ScienceVol. 278
University of Westminster (GB)
Partnerships for the goals
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
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.

A Narrative Theoretical Framework for Integrating AI into Electronic Medical Record Management for Allied Health Practice — Michael D. Dzandu, Jonghyuk Cha, et al. · Procedia Computer Science (2026) | TGRS Research Map | TGRS