Evidence map›Paper›PMID 42145435›Full record

ArticleBioinformation2026

Health informatics in current healthcare system: A review.

Simran Mishra, Sweta Singh

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Simran MishraDepartment of Public Health Dentistry, K.M Shah Dental College and Hospital, Sumandeep Vidyapeeth (Deemed to be University), Vadodara, Gujarat, India.
Sweta SinghDepartment of Public Health Dentistry, K.M Shah Dental College and Hospital, Sumandeep Vidyapeeth (Deemed to be University), Vadodara, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health informatics integrates information science, computing and digital technologies to support clinical care, healthcare administration and public health. Therefore, it is of interest to review the applications, benefits and challenges of health informatics in contemporary healthcare systems. This review focuses on major health informatics applications such as electronic health records, clinical decision support systems, telemedicine and artificial intelligence. Thus, we show that these technologies contribute to improved quality of care, enhanced patient safety and increased healthcare efficiency through better data management and decision support. Additionally, health informatics supports population health monitoring and healthcare planning. However, significant challenges persist, including lack of interoperability, increased clinician workload, cybersecurity risks, data privacy concerns and ethical governance issues. Addressing these barriers is essential to ensure the secure, equitable and sustainable adoption of health informatics within modern healthcare systems.

Indexed as

artificial intelligence (AI)digital healthelectronic health records (EHRs)Health informatics

Identifiers

PMID42145435
PMCPMC13177096

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.