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M. Toyserkani

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  • EP01 - e-Poster Session 1 (ID 52)

    • Event: e-Health 2018 Virtual Meeting
    • Type: e-Poster Session
    • Track: Clinical Delivery
    • Presentations: 1
    • EP01.01 - Why Digital Health Needs Automated Testing? (ID 462)

      M. Toyserkani, Business Development, Aversan Inc.; Mississauga/CA

      • Abstract
      • Slides

      Purpose/Objectives: Why Digital Health Needs Automated Testing Digital health is increasingly being used to capture and view clinical records, write orders electronically and track their status, view diagnostic tests, utilize clinical decision support, and many other functions. Health organizations are relying on them to improve transitions of care, chronic disease management, care coordination, and improvements to the patient experience. The digital health care ecosystem is becoming more complex and interconnected given the breadth and depth of the aforementioned elements. These systems are contributing to a better experience for patients and clinicians, better outcomes, increased productivity and lower costs associated with the delivery of high-quality health care. At the same time, like any technology and a businessÂ’ reliance on it, there are introduced risks. Each additional digital element added to the systems must be 100% reliable and interact with all of the other systems. Therefore, each application or device increases the risk to the delivery of high-quality and safe health care. Do health care organizations have the programs and tools in place to mitigate risks in the deployment and operation of this ecosystem? Automated testing is crucial in ensuring the safety of digital health applications and medical devices (also referred to as eSafety).

      Methodology/Approach: The biggest inherent risks in this ecosystem are with interoperability and user interface testing. These areas are where there is the greatest configuration, customization, and systems integration. So, what is the most effective way to verify all of these system elements are functioning correctly, in other words with eSafety? One of the most effective tools we have at hand, but are underutilizing in health care, is automated testing. Test automation is the use of software, under a setting of test preconditions, to execute tests and then determine whether the actual outcomes and the predicted outcomes are the same. Automated testing can be used to validate that the messages sent and received between systems are as expected for a specific test scenario. Automated testing can be used for user interface validation. The user interface is one area that is often configured to a specific deployment. Therefore, the team deploying must validate that all of the fields are functioning as designed. Are the data captured and validated on the screen as expected? Are combinations and permutations of related data valid?

      Finding/Results: Automated testing can reduce the testing and validation cycle of Health IT systems from months to hours. It offloads a high percentage of manual test scenarios freeing up staff (i.e. clinicians, business analysts, IT staff) from the time-consuming data entry validation and data presentation and help them focus on higher valued tasks and patient care instead. Presentation includes 2 case studies on results and ROI.

      Conclusion/Implications/Recommendations: In summary, test automation is a practical and efficient way to ensure that the user interface and interoperability within a health care digital ecosystem are functioning as designed. It offloads mundane and repetitive tasks from staff, reduces errors, and results in better breadth and depth of test coverage at a lower cost and with reduced timelines.

      140 Character Summary: Maintaining the quality and safety of digital health systems can be achieved in a cost-effective, automated and timely manner, by the use of test automation.

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