Evidence map›Paper›PMID 40979236›Full record

ArticleAdvances in health information science and practice2025

Shaping the Future of the Health Information Profession: The Impact of Emerging Technologies on the Workforce.

Shannon H Houser, Donna Crew, Cathy A Flite, Colleen Goethals

Abstract read
In one paragraph

Article in Advances in health information science and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shannon H HouserHealth Services Administration University of Alabama at Birmingham.ORCID https://orcid.org/0000-0003-4846-937X
Donna CrewHIS Healthcare Authority of the City of Anniston.
Cathy A FliteHealth Services Administration & Policy Temple University.
Colleen GoethalsMid-Revenue Cycle Xtend Healthcare.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this commentary, the authors explore the transformative impact of emerging technologies, such as artificial intelligence (AI), machine learning, and electronic health record (EHR) optimization, on the field of health information (HI). They also examine the implications of these technologies across three critical sectors: healthcare organizations, HI vendors, and academia. In healthcare organizations, these innovations are reshaping job roles, workflows, and required skill sets, creating both opportunities and challenges for HI professionals. HI vendors are driving workforce changes by adopting automation and AI-driven solutions to enhance service delivery. In academia, HI education is evolving to integrate emerging technologies into curricula, ensuring that students are equipped to meet the growing demands of the industry. The authors emphasize the necessity of collaboration among healthcare organizations, vendors, and academia to develop a workforce with the skills needed to succeed in a technology-driven landscape. They also provide recommendations for addressing skill gaps, fostering innovation, and preparing the HI workforce to navigate the challenges ahead.

Indexed as

Artificial IntelligenceMedical InformaticsElectronic Health RecordsForecastingHumansMachine Learningaiemerging technologiesleadershipprofessional developmentskill setworkforce transformation

Identifiers

PMID40979236
PMCPMC12348412

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.