Evidence map›Paper›PMID 39379939›Full record

ArticleBMC health services research2024

Exploring the perspectives of healthcare professionals regarding artificial intelligence; acceptance and challenges.

Muhammad Yousif, Saima Asghar, Jamshaid Akbar, Imran Masood, Muhammad Rizwan Arshad, Javaria Naeem, Abdullah Azam, Zakia Iqbal

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

8 authors.

Muhammad YousifDepartment of Pharmacy, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Saima AsgharDepartment of Pharmacy Practice, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Jamshaid AkbarDepartment of Pharmacy Practice, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Imran MasoodDepartment of Pharmacy Practice, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan. drimranmasood@iub.edu.pk.
Muhammad Rizwan ArshadDepartment of Pharmacy, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan. pro.rizwanarshad@gmail.com.
Javaria NaeemDepartment of Pharmacy, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Abdullah AzamDepartment of Pharmacy, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.
Zakia IqbalDepartment of Pharmacy, Faculty of Pharmacy, The Islamia University of Bahawalpur, Punjab, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main objective of the study was to explore the perspectives of healthcare professionals (HCPs) regarding artificial intelligence (AI) and to identify challenges in its incorporation in the healthcare sector of Pakistan.

methodsA qualitative exploratory study design was adopted. The study was conducted from January 15th to February 29th, 2024, and HCPs (doctors, pharmacists and nurses) from two tertiary care teaching hospitals in southern Punjab, Pakistan were taken as the study population. The interviews were conducted with the help of a semi structured interview schema. A thematic approach was adopted to analyse the data.

resultsOut of 40 HCPs approached, 25 participated in the study with a response rate of 62%. The participants included in the study were doctors (14), pharmacists (6) and nurses (5). The participants had limited knowledge regarding AI and its basics. However, they showed positive perceptions about its incorporation. They believed that many of the problems faced by the healthcare sector of Pakistan can be minimized by AI incorporation. They believed that AI can boost up the efficiency of healthcare providers, reduce their workload, save time and minimize medical errors. Four main themes with multiple subthemes were identified: (1) Cognizance of AI, (2) Acceptability of AI among HCPs and training requirements for effective incorporation, (3) Merits and Demerits of AI, and (4) Challenges in incorporation of AI with proposed solutions.

conclusionHCPs showed a willingness to embrace AI incorporation and believed that it may bring numerous benefits to the health system. Policymakers should take necessary steps to ensure AI incorporation in our healthcare sector.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelQualitative ResearchAdultFemaleHealth PersonnelHumansInterviews as TopicMalePakistanArtificial intelligenceHealthcare professionalsHealthcare systemPakistanQualitative study

Identifiers

PMID39379939
PMCPMC11459946

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.