Healthcare Analytics

Preview (3 of 10 Pages)

100%

Purchase to unlock

Loading page image...

Course SyllabusCourse InformationCourse Humber/SectionCourse TitleTermMeetingsHMGT 6334.MIS 6305Healthcare AnalyticsFall 2023Wednesdays 7PMProfessor Contact InformationProfessorOffice PhoneEmail AddressOffice LocationOffice HoursTA:TA Office HowsMehmet U.S. Ayvaci972-883-4747[email protected]JSOM3202By emailOzgur Aksoy, [email protected]By emailCourse Modality and ExpectationsCourse PlatformThis class is taught in the classroom.Expectations(1) Students can attend class in person.(2) Students can use the class time to interact with the instructor realtime.(3) There is no class attendance requirement for lectures, but attendancecan help in boosting grades through extra credit.(4) Instructor will post discussions on a regular basis, using eLearningtools. Student involvement in these discussions accounts towardsparticipation (which boosts your grade and ensures engagement).LearningGuidelinesAll lecture material will be available for all students (lecture will not berecorded You need to follow along atthepace of the class whether youattend the class or not.Course Pre-requisites*Co-requisites, and/or Other RestrictionsOPRE 6301 or SYSM6303 (Co-requisite).This course is an approved elective for the M.S. degree in Healthcare Management and forthe Healthcare Analytics track in the NLS. degree in Business Analytics. It is also anelective course for the M.S. degree in Information Technology Management (HealthcareSystems Track) and the MBA degree (Healthcare Concentration).The course is ideallysuited to students who wish to focus on careers in the healthcare industry, as health ITanalysts, policy analysts, managers or administrative staff, or healthcare consultants, whowish to develop a better understanding of healthcare analytics.Healthcare Certificate Program RequirementsA qualifying grade in this class fulfills one of the requirements to receive an Academic Certificatein Healthcare Information Technology from UTD. For more information or to apply foradmission to the certificate program, please go to https? osim.utdallas.edu program-resources.'healthcare-certificateshealthcare-it'

Loading page image...

Course DescriptionThe purpose of this course is to introduce the use of business intelligence and decisionanalytics for health-care problems. As the pressures of managed care and increasing healthcare costs push providers, payers and purchasers of health care to become more efficient,methods for understanding the appropriate basis for how to allocate shrinking health careresources must be understood. Moreover, the health care industry is yet to- find ways tomaize best use of existing data to improve care, reduce costs, and provide more accessiblecare. In addition to developing a conceptual understanding of business intelligence andpredictive analytics, the course will develop some technical skills in prescriptive analyticsusing decision analysis and cost effectiveness. The course will include hands-on experiencewith R using RStudio. Examples from the health care practice and managerial decisionmaking will be discussed.Major topics in this course include:•Foundations of healthcare analytics•Healthcare delivery in the US and data creation process•Medical decision making and Machine Learning Foundations•R programming•Measuring healthcare quality and value•Data mining for improving health outcomes and reducing costs•Predictive models in healthcare and clinical decision support•Data-driven decision making in healthcare•Cost-effectiveness analysis for medical decisions•Future of healthcare analyticsStudent Learning Objectives and Outcomes1.Students will demonstrate applications of data analytics related to healthcare informationto develop decisions and healthcare management strategies.2.Students will demonstrate know-how of how to extract and apply business intelligencetechniques to improve decision making using healthcare data.CAHME Competency Model MappingDomain 2: Leadership•Critically analyze organizational issues after a review of the evidence. (SLO1)Domain 5: Business Knowledge and Skills•Demonstrate an ability to analyze and evaluate information to support a decision orrecommendation (SLO 1)•Show the ability to critically think and analyze data (SLO 2)•Demonstrate an understanding of using analytics software to draw conclusions (SLO 2)Mandatory Text:Burke,J.Health analytics: gaining the insights to transform health care(Vol. 71). JohnWiley &Sons. ( Available Online Ll1 DLibrary]Viswanathan, V. (2014).Data Analytics withr?:J Zfanfifc-OKApproach.Infivista Incorporated.Recommended Text:Data .Vining with Rattle and Rby Graham Williams, 2011, Springer Publishing. ISBN 978-1-4419-9890-3. (Available online at the library webpage)

Loading page image...

Clinical Prediction Models: A Practical Approach io Development, Validation, and UpdatingbyEwout W . Steyerberg, 2010, Springer Publishing. ISBN 978-1-4419-2648-7. (Available online atthe library)Healthcare Analytics for Quality and Performance ImprovemertiSTrevor L. Strome, 2013.Wiley Publishing, ISBN: 978-1-118-51969-1of Health Care Programmes,Second Edition by Drummond MF, O'BrienB:Stoddart GL, Torrance GW, Oxford Medical Publications, Oxford 1997.Required Software:j?software and Rattle add on. These are free software available for download and installation atOpen Source R Software: http:cran.r-project.orgPlease make sure you have downloaded R andRStudio in your machine before attending. You can follow the step-by-step instructions from theabove link or this link: https: www.earthdatascience.org. courses earth-analytics document-your-science setup-r-rstudio Depending on your operating system of your machine, please refer to thesections in the webpage. At some point in the class, I will also introduce Rattle, an R add-on,which can be found at http:rattle.togaware.comMandatory Readings:The instructor will supplement the text with other relevant coursematerials as needed including but not limited to executive interviews, case studies, scholarlyjournal articles, newspaper articles, magazine articles, and other relevant information. VisiteLearning for all course-related information including syllabus, lecture notes, self-quizzes, andassigned discussion problems.Textbooks and some other bookstore materials can be ordered online through Off-Campus Booksor the L I’D Bookstore. Theyarealso available in stockat bothbookstores.Suggested Course MaterialsSuggested ReadingsTextsThe instructor will supplement course materials with other readings via email or weblinks. No need for purchase.Suggested MaterialsNoneTextbooks and some other bookstore materials can be ordered online or purchased at the UTDallas Bookstore.Academic CalendarMODULE/DATESTOPICASSIGNEDl u r i vREADINGSASSESSMENT/ACTIVITYDUEDATEIAug 23Foundations of HealthcareAnalytics* Definitions* Brief history7* Types of Analytics* Examples■Lecture Notes■Chapters 1-3(Burke)

Preview Mode

This document has 10 pages. Sign in to access the full document!

Report

Study Now!

Document Details

Related Documents

Needs Assessment Data Presentation

Professional Development Plan

Outcome Assessment 5 Project Requirements

Developmentally Appropriate Teaching Strategies

Debating the Impact of Item Analysis on Test Reliability and Validity

Assessment of The Nature of Cheating by Business Students at Rocky University

Analyzing Student Perceptions of History: The Impact of Education and Musician Status

The Impact of Study Environment and Gender on GPA Improvement: A 2 � 3 Between-Subjects Factorial ANOVA

Statistical Comparison of Reading Comprehension Test Scores: Private vs. Public School Eighth-Graders

Integrating Technology and Pedagogy: A TPACK-Based Lesson Plan for Early Literacy Development

Company

Explore

Study Tools