A M-HEALTH PLATFORM FOR SUPPORTING CLINICAL DATA INTEGRATION AND SERVICE DELIVERY: AN EXAMPLE FROM AUGMENTATIVE AND ALTERNATIVE COMMUNICATION INTERVENTIONWang, Erh-Hsuan (2017) A M-HEALTH PLATFORM FOR SUPPORTING CLINICAL DATA INTEGRATION AND SERVICE DELIVERY: AN EXAMPLE FROM AUGMENTATIVE AND ALTERNATIVE COMMUNICATION INTERVENTION. Doctoral Dissertation, University of Pittsburgh. (Unpublished)
AbstractImproving the quality of healthcare while simultaneously reducing its overall costs remains a challenge. One of the recommended approaches for achieving this goal is to build high quality data collection and reporting systems to facilitate evidence-based practice (EBP), which emphasizes the importance of using the solid evidence available to make optimal clinical decisions. Along with the rapid adoption of mobile technologies in health care, many clinicians also use smartphones and tablets to collect and integrate clinical data. Verbal communication is an essential skill for human beings and a major factor that influences the overall quality of life. People with communication disabilities (PwCD) may benefit from Augmentative and Alternative Communication (AAC) intervention. However, existing AAC technologies are not currently able to provide efficient real-time and clinically relevant performance measures to speech language pathologists. This work combines mobile and web technologies with AAC intervention to create an integrated platform with a better data analytics approach to support data collection, integration, and reporting, as well as to streamline the workflow of AAC clinical service delivery. To achieve these research goals, three studies were conducted: 1) Exploration; 2) Design & Implementation; and 3) Evaluation. The first study identified the clinical needs and IT requirements of the platform. The second study implemented this platform, including a mobile AAC app, a web-based portal, and data analysis procedures. The last study evaluated the integrated platform and compared the platform to other existing data collection and reporting approaches. The usability and feasibility studies of the mobile AAC app were conducted with able-bodied individuals, health professionals, and PwCD. All participants agreed that the app establishes an alternative treatment protocol for communication rehabilitation, which incorporates AAC intervention with self-learning and real-time monitoring. Overall, the study results confirm that the integrated platform provides the ability to collect comprehensive clinical evidence, automatically analyze collected data in real time, and generate clinically relevant performance measures through an easily accessible web portal. The evaluation concluded that the integrated platform offers a better clinical data analytics approach for AAC clinical service delivery. Share
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