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Browsing by Author "Mukherjee, Sunanda"
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Item A Coherent Healthcare System with RDBMS, NoSQL and GIS Databases(2017) Wu, Huanmei; Ambavane, Ashish; Mukherjee, Sunanda; Mao, Songan; BioHealth Informatics, School of Informatics and ComputingWith new database system development and new data types emerging, many applications are no longer using a monolithic, simple client/server structure, but using more than one types of database systems to store heterogeneous data. In this project, we exploit the benefits of combing Relational Database Management System (RDBMS) and NoSQL systems in the development of better Electronic Health Records (EHRs) and Clinical Decision Support Systems (CDSS). Specifically, MySQL, MongoDB, and GIS databases are integrated to improve EHR systems and to provide better clinical decision supports. The ACID (atomicity, consistency, isolation, durability) properties of the RDBMS ensure data integrity, database security, efficient SQL queries, easy data access, and effective transaction processing. MongoDB provides the system with clear internal data structure, easy scaling-out, fine-Tuning, and convenient mapping of application objects to the database objects. The GIS database allows vivid visualization of the geographic locations of patients, physician offices, and medical facilities. The integrations of these database systems in healthcare help application systems to comply with the EHR HIPAA requirements without compromising on scalability and performance.Item An Evaluation of Activity Trackers for Monitoring Parkinson's Disease Patient Outcomes(2016) Jones, Josette F.; Wu, Huanmei; Patel, Jay; Kasthurirathne, Suranga N.; Binkhedar, Samar; Thai, Nicole; Mukherjee, SunandaParkinson's disease (PD) is the second most common neurodegenerative disease in America. PD results in adverse outcomes including motor impairments and non-motor impairments such as cognition and sleep. Medication has a limited impact on treating PD and slowing down the progression of the disease. Anecdotal reports and some research show that intensive activity has been beneficial not only to slow down the progression of PD, but also may reverse the onset of more severe PD symptoms.Item Healthcare Data Analytics for Parkinson’s Disease Patients: A Study of Hospital Cost and Utilization in the United States(American Medical Informatics Association, 2017-02-10) Mukherjee, Sunanda; Wu, Huanmei; Jones, Josette; Department of Biohealth Informatics, School of Informatics and ComputingParkinson's Disease (PD), a prevalent problem, especially for the aged populations, is a progressive but non-fatal nervous system disorder. PD patients have special motor as well as non-motor symptoms over time. There are several limitations in the study of PD such as unavailability of data, proper diagnosis and treatment methods. These limitations significantly reduce the quality of PD patient life quality, either directly or indirectly. PD also imposes great financial burdens to PD patients and their family. This project aims to analyze the most common reasons for PD patient hospitalization, review complications that occur during inpatient stays, and measure the costs associated with PD patient characteristics. Using the HCUP NIS data, comprehensive data analysis has been performed. The results are customized visualized using Tableau and other software systems. The preliminary findings sheds light into how to improve the life quality of PD patients.