A Data-Driven Framework to Minimize Patient Intake Errors in Healthcare Using SQL and RPA

Health care Patient intake errors are very dangerous to patient safety, operational efficiency and it has detrimental impact on their financial performance and this is because of manual data entry, miscommunication and disjointed systems. This paper suggests an evidence-driven approach that is a hybrid of SQL-based validation and Robotic Process Automation (RPA) techniques to reduce such mistakes in hospital intake processes.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-08-29
DOI
https://doi.org/10.36948/ijfmr.2025.v07i04.53325
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

A Data-Driven Framework to Minimize Patient Intake Errors in Healthcare Using SQL and RPA

Akhilesh Obalannavar
International Journal For Multidisciplinary Research
Big Data and Business Intelligence
article

A Data-Driven Framework to Minimize Patient Intake Errors in Healthcare Using SQL and RPA

Akhilesh Obalannavar
article en

Abstract

Health care Patient intake errors are very dangerous to patient safety, operational efficiency and it has detrimental impact on their financial performance and this is because of manual data entry, miscommunication and disjointed systems. This paper suggests an evidence-driven approach that is a hybrid of SQL-based validation and Robotic Process Automation (RPA) techniques to reduce such mistakes in hospital intake processes.

International Journal For Multidisciplinary ResearchVol. 7(4)
STS International (US)
Openalex Percentile: Top 62%
Big Data and Business Intelligence
DOIOpen Access PDFOpenAlex
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A Data-Driven Framework to Minimize Patient Intake Errors in Healthcare Using SQL and RPA — Akhilesh Obalannavar · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS