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Xiang Zhong

Researcher at University of Florida

Publications -  59
Citations -  471

Xiang Zhong is an academic researcher from University of Florida. The author has contributed to research in topics: Health care & Computer science. The author has an hindex of 12, co-authored 49 publications receiving 336 citations. Previous affiliations of Xiang Zhong include Tsinghua University & Philips.

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Modeling and Analysis of Care Delivery Services Within Patient Rooms: A System-Theoretic Approach

TL;DR: A Markov chain model is introduced to study patient services within the patient rooms in emergency department, clinics, and other healthcare facilities and provides a quantitative tool for healthcare professionals to study and improve patient flow in care deliveries.
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A System-Theoretic Approach to Modeling and Analysis of Mammography Testing Process

TL;DR: In this paper, a system-theoretic method based on a Markov chain model is presented to analyze mammography processes and results indicate that such a method results in a high accuracy of performance estimation.
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Characteristics of Patients Using Different Patient Portal Functions and the Impact on Primary Care Service Utilization and Appointment Adherence: Retrospective Observational Study.

TL;DR: The findings suggest that health care delivery planners and administrators should remove the barriers of adoption for the portal beneficiaries; in addition, they should incorporate the impact of portal usage into care coordination and workflow design, ultimately aligning patients’ and providers’ needs and functionalities to effectively deliver patient-centric care.
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On the effect of electronic patient portal on primary care utilization and appointment adherence

TL;DR: Patient portal users’ disease burden adjusted PCP office visit rate was significantly reduced in one and a half year and thereafter post portal adoption, implying improved care engagement of patients.
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From production systems to health care delivery systems: a retrospective look on similarities, difficulties and opportunities

TL;DR: The similarities between production systems and health care delivery systems in system modelling, design, performance evaluation and continuous improvements are discussed and the differences and difficulties that stem from variability, constraints, dynamics and human behaviour are investigated.