Evidence map›Paper›PMID 34385728›Full record

ArticleIndian journal of psychological medicine2021

Challenges of Building, Deploying, and Using AI-Enabled Telepsychiatry Platforms for Clinical Practice Among Urban Indians: A Qualitative Study.

Thenral M, Arunkumar Annamalai

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2021. 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
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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.

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  5. Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2024
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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.

Thenral MShri Sathya Sai Medical College and Research Institute, Ammapettai, Kanchipuram, Tamil Nadu, India.
Arunkumar AnnamalaiNational Institute of Epidemiology, Indian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublished literature shows the overall challenges associated with artificial intelligence (AI)-enabled medicine and telepsychiatry more from the western perspective, with no specific mention from the perspective of individual stakeholders or Indians. This study was conceptualized to understand the perceived challenges of building, deploying, and using AI-enabled telepsychiatry for clinical practice from the perspectives of psychiatrist, patients, and the technology experts (who build such services) in urban India.

methodsBetween February 2020 and April 2020, a semistructured topic guide was drafted for qualitative exploratory study among psychiatrists (

resultsAlmost all respondents cited ethical, legal, accountability, and regulatory implications as challenges. The major issues stated by patients were privacy/confidentiality, ethical violations, security/ hacking, and data ownership. Psychiatrists cited lack of clinical validation, lack of established studies or trials, iatrogenic risk, and healthcare infrastructure issues as the main challenges. Technology experts stated data-related issues as the major challenge. The CEOs quoted the lack of interdisciplinary experts as one of the main challenges in building deployable AI-enabled telepsychiatry in India.

conclusionsThere are challenges to deploy an AI-enabled telepsychiatry platform in India. There is a need to constitute an interdisciplinary team to systematically address these challenges. Deployment of AI-enabled telepsychiatry is not possible without clinical validation and addressing current challenges.

Indexed as

AI in mental healthchallengesIndiansqualitative researchTelepsychiatry

Identifiers

PMID34385728
PMCPMC8327861

What OpenQuestion holds

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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.