Ranjan Ayushi, Singh Geetu, Singh Himalaya, Singh Mohit
Community Medicine, Sarojini Naidu Medical College, Agra, IND.
Community Medicine, Ayushman Bharat Digital Mission (ABDM), Lucknow, IND.
Cureus. 2025 Apr 9;17(4):e81970. doi: 10.7759/cureus.81970. eCollection 2025 Apr.
The 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.
To 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.
To determine ARIMA (autoregressive integrated moving average) forecasting models to predict future registration and waiting times based on historical data patterns.
This 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.
Online 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.
ABHA 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.
阿育吠陀·巴拉特数字使命（ABDM）正在通过数字化改变印度的医疗保健，包括使用阿育吠陀·巴拉特健康账户（ABHA）身份识别码进行在线门诊（OPD）登记。随着ABHA账户数量的增加，了解这些数字工作流程中的时间要求和瓶颈对于成功实施至关重要。
通过测量和比较在线登记与传统线下门诊登记中每个步骤所需的时间，评估患者登记的效率。
确定自回归积分滑动平均（ARIMA）预测模型，以根据历史数据模式预测未来的登记和等待时间。
本横断面研究使用时间与动作研究软件观察了40名患者（每种登记方法20名）。数据收集包括四个流程步骤：到达、应用程序下载/令牌生成、等待和登记。分析采用描述性统计、曼-惠特尼U检验和ARIMA建模。
在线ABHA登记平均耗时4.15分钟（标准差=1.28），而线下登记平均耗时10.37分钟（标准差=3.54），节省了约60%的时间。这种差异具有统计学意义（W=16，p<0.01）。主要瓶颈是等待时间：线下登记为9分钟，而在线登记为1分钟。ARIMA模型预测，与线下登记平均12分钟相比，在线登记平均时间为4分钟，效率将持续提高，且线下登记的变异性更大。
与传统方法相比，ABHA在线登记的效率和一致性显著提高，尤其是在减少等待时间方面。这些发现支持继续实施数字登记系统，同时强调需要制定策略来管理两个系统中的流程变异性。
