Dr. Pallavi Patel College of Health Care Sciences—Department of Health Science 347 management, and the protection of human subjects and animals involved in research programs. (3 credits) MHS 5906—Developmental Research Project This course provides students with the opportunity to assimilate the skills required to communicate in academic settings both orally and in writing. The purpose of this course is twofold. First, the course will acquaint students with the guidelines that will assist them in creating well-crafted academic communication. Second, it will give students the opportunity to practice their communication skills and receive feedback from colleagues and instructors. The primary focus of the course is the thesis process. (3 credits) MHS 5908—Applied Statistics This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regressions, analysis of variance, nonparametric methods, and statistical computing. (3 credits) MHS 5914—Telehealth and the Role of Interprofessional Collaboration The use of telehealth is increasing in popularity among all medical professions. Lack of communication between providers can cause poor patient outcomes, medical errors, and decreased patient compliance. This course will focus on the use of telehealth in multiple disciplines, as well as ways that these disciplines can collaborate to provide care for their common patients. (3 credits) MHS 5992—Qualitative Research Methods This course explores the development and application of qualitative research designs and methods. It considers a broad array of approaches, from exploratory narratives to focused comparison case studies, for investigating plausible alternative hypotheses. The focus is on analysis, not data collection. (3 credits) MHS 5991—Quantitative Research Methods This course develops logical, empirically based arguments using statistical techniques and analytical methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice. (3 credits) MHS 5995—Thesis I This course is intended for students planning to conduct research in a variety of different settings. Its topics include case studies, interviews, documentary evidence, and participant observation and survey research. The primary goal of the course is to assist students in preparing their formal thesis proposals. The instructor must approve the proposal. (3 credits) MHS 5996—Thesis II In this course, the student will carry out the proposed research (under the instructor’s supervision) and conduct data analysis, which will culminate in a summary paper of the student’s research findings. (3 credits) MHS 5997—Thesis III This course is dedicated to the formal writing of the student’s thesis under the professor’s supervision. Once the instructor accepts the paper, two other faculty members on the student’s thesis committee will review it. (3 credits) MHS 5998—Thesis IV In this course, the student prepares for oral defense of the thesis and revision of the manuscript of the thesis. (3 credits) MHS 8999—Prior Learning Credit NSU will award a maximum of 5 experiential learning credits toward the M.H.Sc. degree for Miami-Dade College Physician Assistant Students. In order to earn experiential credits from NSU, students must submit a log indicating the completion of a minimum of 200 clinical hours, submission of a completed clinical case study from Miami-Dade College, and provide proof of meeting all Miami-Dade College requirements for graduation. MI 5100—Survey of Medical Informatics This online, interactive course is an introductory survey of the discipline of biomedical informatics. This course will introduce the student to the use of computers for processing, organizing, retrieving and utilizing biomedical information at the molecular, biological system, clinical and healthcare organization levels. The course is targeted at individuals with varied backgrounds including medical, nursing, pharmacy, administration, and computer science. The course will describe essential concepts in biomedical informatics that are derived from medicine, computer science and the social sciences. (3 credits) MI 5130—Information Security in Health Care This course covers from basic to intermediate knowledge of the concept, the design and the implementation of database applications in healthcare. Students will study tools and data models for designing databases such as E-R Model and SQL. The course also covers Relational DBMS systems such as SQL Server, Access, Oracle and MySQL. Besides, database connectivity design (essential in data-driven web development) and database administration will also be introduced. Students will practice designing, developing and implementing a test relational online health IT database application (myHealth) through a comprehensive project that contains the above topics. (3 credits)
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