Ching-Huei Tsou

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Identifying a patient's important medical problems requires broad and deep medical expertise, as well as significant time to gather all the relevant facts from the patient's medical record and assess the clinical importance of the facts in reaching the final conclusion. A patient's medical problem list is by far the most critical information that a(More)
As the use of Electronic Medical Records (EMRs) becomes widespread, the amount of data in an EMR becomes a challenge for its comprehension. We developed problem-oriented EMR summarization to address this issue, as a part of a larger effort of adapting IBM Watson to the medical domain. The problem-orientation refers to the central role of a patient's medical(More)
OBJECTIVE An accurate, comprehensive and up-to-date problem list can help clinicians provide patient-centered care. Unfortunately, problem lists created and maintained in electronic health records by providers tend to be inaccurate, duplicative and out of date. With advances in machine learning and natural language processing, it is possible to(More)
Geographic Information System (GIS) has been extensively used in technical fields in the past two decades. The focus of this thesis is to develop a robust, efficient, and scalable GIS, which is designed as web services and implemented on .NET framework. Wavelet image compression and parallel computing techniques are used in the implementation to achieve(More)
Objective: An accurate, comprehensive and up-to-date problem list can help clinicians focus on providing patient-centered care. In this study, we report on physicians’ assessment of IBM Watson generated problem lists and comparison with an existing manually curated problem list in an institution’s EHR system. Materials and Methods: Fifteen randomly(More)
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