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Cross-Platform Mobile Testing with Appium: A Framework for High- Accuracy Validation in Healthcare

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International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 10 | Oct 2025

www.irjet.net

e-ISSN: 2395-0056 p-ISSN: 2395-0072

Cross-Platform Mobile Testing with Appium: A Framework for HighAccuracy Validation in Healthcare Datta Snehith Dupakuntla Naga Senior Software Engineer - QA Automation, Teladoc Health, United States. --------------------------------------------------------------------------***---------------------------------------------------------------------Abstract This paper explores the use of Appium, and presents it as a cross-platform mobile testing framework through which highaccuracy validation can be performed in a critical domain—healthcare. Apps are radically changing patient care and operational efficiency; however, an application’s direct effect on health results, combined with the compounding of sensitive information about patients, pushes quality assurance to an extremely tough level. This report will take into account architectural advantages that come with using Appium: cross-platform abilities along with simulating complex end-to-end scenarios involving multiple devices. While noting some inherent drawbacks within Appium—namely performance issues and test flakiness—it contextualizes strategic integrations with advanced testing methodologies, especially visual validation driven by AI and test data management as enablers that help to overcome these challenges [1]. The other will present a case study showing how this one can be applied in healthcare to cut down manual effort, improve release speeds and increase quality for applications. The results emphasize that attaining high-accuracy verification in healthcare through Appium depends on a holistic testing environment focusing on ongoing compliance with a broad check on data integrity plus the joint use of other technologies.

Keywords: Appium, mobile testing, healthcare, validation, accuracy, cross-platform, regulatory compliance, patient safety, test automation, AI.

I. Introduction 1.1 The Criticality of Mobile Health (mHealth) Applications Mobile health (mHealth) applications have very recently come as transformative tools into the healthcare sector and altered care for the patient and how operations run. The mHealth applications provide benefits such as lower healthcare costs, increase patient awareness, and improve access to vital services. Examples of mHealth applications include appointment booking systems, aids for clinical diagnosis, medication management tools, telemedicine platforms, and EHRs ac-cess applications Examples of mHealth applications. The uptake of these digital solutions is key to modern healthcare delivery [2]. The direct influence of mHealth applications on user health and safety, together with their handling of very sensitive patient data, brings quality assurance to the level of an imperative rather than a best practice. The stakes in mHealth are profoundly high; these applications can directly influence patient outcomes, even to the effect of impacting life and death situations. This reality means that the definition of “quality” in mHealth extends far beyond typical software functionality; it covers prevention of harm, assurance of medical accuracy, and maintenance of user trust unconditionally. In turn, testing methodologies for mHealth applications must be inherently more rigorous and fault-intolerant than those applied in less critical domains — an absolute requirement for high-accuracy validation! Criticality can be calculated using

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