ASU Mobile Analytics Architecture Project for Improved Obesity Essay

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A well-established life sciences organization, that conducted hundreds of pre- and post-clinical studies in its long history, decided to take advantage of the current information technologies in the mobile computing domain in order to improve effectiveness and efficiency of their medical drug trials. In particular, they wanted to seek better ways of conducting their ongoing initiatives related to obesity research. The first step they took was to create a new Data Science unit in charge of data analytics, machine learning, and data integration. However, before making any sizable investments into a full-scale mobile computing program and getting “real” patients engaged, they wanted to run a hypothetical pilot to see whether their potential investment makes sense.

As a newly hired Data Architect right out of a challenging graduate program at UIC, your job on this particular assignment is to collaborate with the Information Technology infrastructure team to create a mocked architecture for such a project and present its outcomes to the management team. Since you cannot yet apply your skills with “real” patients and new devices, you are searching for data and tools to design your project on paper, in order to convince your bosses to take the next step and invest into the more advanced wave of development. You decided on the following strategy that requires no external budget to begin.

1. Access the www.ClinicalTrials.gov web site. Enter the search term “obesity” into the “condition” search field and the search term “mobile” into the “other terms” field. Perform a search among studies showing ‘Completed’ status, find a suitable study that utilized mobile devices in a way potentially similar to your intended use in the organization, and describe the study and its outcomes. Pay particular attention to the use of mobile technologies, eligibility criteria for the study, inclusion and exclusion criteria, and how technology may have benefited intended purpose and influenced outcomes (positively or negatively).
2. Determine how and what kinds of patient information would be gathered by mobile devices from patients in the clinical study you selected, where this information would flow, how it would be collected from patients and/or front-end devices to be injected into your application processing, and what data processing engine may be analyzing this data. This is essentially your input data into the application. Start with your intended goal that you would find within the study description and develop it into an idea for an application and ultimately a solution, as you think through the entire architecture. 
3. Write out specifically what kinds of medical data would be collected from the device, find a medical data vocabulary for this data type, locate examples of codes that could be used, outline a transport mechanism (interoperability method and its version) that would be used for data delivery and exchange between medical devices and your point(s) of data collection. Finally, describe what you would do with this data to derive any useful conclusions. 2-3 code examples are sufficient, but feel free to list more if interested.