Evidence map›Paper›PMID 41949133›Full record

ArticleThe Indian journal of medical research2026

Real time public display dashboards: Reframing road traffic accidents in India.

Sushila Tiwari, Rahul M Jindal, Dileep Mavalankar

Abstract read
In one paragraph

Article in The Indian journal of medical research, 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

3 authors.

Sushila TiwariDepartment of Cybersecurity, Strayer University, Arlington, United States.
Rahul M JindalDepartment of Surgery and Global Health, Uniformed Services University, Bethesda, United States.
Dileep MavalankarDepartment of Public Health, Indian Institute of Public Health Gandhinagar, Ahmedabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India's escalating number of road traffic accidents, demands systemic transformation beyond traditional enforcement measures. This viewpoint proposes the establishment of a public, real-time Trauma Dashboard to transform fragmented, delayed reporting into an open, evidence-based system of accountability. The dashboard would integrate cross-verified datasets from police, hospitals, and insurance companies through interoperable digital platforms such as Open Data Kit (OTK), and Talend Open Studio, or similar platform hosted on the Government of India's MeghRaj Cloud. Automated cross-verified data flows would provide dynamic insights into crash patterns, high-risk zones, and temporal trends. Drawing on successful precedents such as the Central Pollution Control Board (CPCB) Air Quality Index and trauma registries - UK Trauma Audit and Research Network (TARN), US National Trauma Data Bank (NTDB) and India's National Organ and Tissue Transplant Organization (NOTTO), this project proposes to facilitate continuous monitoring, policy responsiveness, and public awareness.

Indexed as

Accidents, TrafficWounds and InjuriesDashboard SystemsHumansIndiaRegistriesCPCB AQI dashboardDashboardsMortality and morbidity of traumaPublic-private-partnershipRoad traffic accidentsTrauma

Identifiers

PMID41949133
PMCPMC13104748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.