Evidence map›Paper›PMID 40351923›Full record

ArticleCureus2025

Digital Transformation of Healthcare Access: A Comparative Time Series Analysis of Online Versus Conventional OPD Registrations at a Tertiary Care Hospital.

Ayushi Ranjan, Geetu Singh, Himalaya Singh, Mohit Singh

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ayushi RanjanCommunity Medicine, Sarojini Naidu Medical College, Agra, IND.
Geetu SinghCommunity Medicine, Sarojini Naidu Medical College, Agra, IND.
Himalaya SinghCommunity Medicine, Sarojini Naidu Medical College, Agra, IND.
Mohit SinghCommunity Medicine, Ayushman Bharat Digital Mission (ABDM), Lucknow, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Ayushman Bharat Digital Mission (ABDM) is transforming India's healthcare through digitization, including online outpatient department (OPD) registration using Ayushman Bharat Health Account (ABHA) identities (IDs). With an increase in the number of ABHA accounts, understanding time requirements and bottlenecks in these digital workflows is crucial for successful implementation. PRIMARY

objectiveTo evaluate the efficiency of patient registration by measuring and comparing the time taken for each step in the online registration and conventional offline OPD registration. SECONDARY

objectiveTo determine ARIMA (autoregressive integrated moving average) forecasting models to predict future registration and waiting times based on historical data patterns.

methodsThis cross-sectional study observed 40 patients (20 per registration method) using Time & Motion Study software. Data collection included four process steps: arrival, application download/token generation, waiting, and registration. Analysis used descriptive statistics, the Mann-Whitney U test, and ARIMA modeling.

resultsOnline ABHA registration averaged 4.15 minutes (SD = 1.28) versus 10.37 minutes (SD = 3.54) for offline registration, representing approximately 60% time savings. This difference was statistically significant (W = 16, p < 0.01). The main bottleneck was waiting time: nine minutes for offline versus one minute for online registration. ARIMA models predicted continued efficiency with a four-minute average time for online registration compared to 12 minutes for offline, with greater variability in the latter.

conclusionABHA online registration demonstrates significantly improved efficiency and consistency over conventional methods, particularly in reducing waiting times. These findings support continued implementation of digital registration systems while highlighting the need for strategies to manage process variability in both systems.

Indexed as

ayushman bharat digital missiondigital health registrationdigital transformationhealthcare process efficiencytime motion study

Identifiers

PMID40351923
PMCPMC12063933

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LicenceCC BY
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Registered trials

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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.