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Areas of Study
| HITT275 syllabus
|COURSE NUMBER: ||HITT275|
|COURSE TITLE:||Health Informatics, Analytics and Data Use|
|SEMESTER CREDIT HOURS:||3|
|STUDENT ENGAGEMENT HOURS:||137|
This course focuses on Health Informatics and Analytics. It will cover how information science and technology are used to enhance research and practice outcomes in healthcare. The student will perform data analysis through reduction and organization of a body of data to produce information for making operational and clinical decisions. This course is designed to provide participants a hands-on experience in health data informatics and analytics using Microsoft Excel. Participants can expect to learn the fundamental skills for sorting, filtering, summarizing, interpreting, and presenting healthcare information. The basic principles of informatics that govern the application of data through collecting, retrieving, and analyzing information will be explored. After taking this course, you will have a better understanding of the nature of health data informatics, how to leverage the use of Microsoft Excel for carrying out analytical tasks, and ultimately how to discover new information from data.
Completion of HITT101
. Placement into MATH108
This course is not available for web registration.
STUDENT LEARNING OUTCOMES:
The purpose of this course is to prepare the student with a foundation in health informatics and analytics focusing on the acquisition, storage and translation of data into health information. Upon completion of this course, students will be able to:
TEXTBOOK / SPECIAL MATERIALS:
- Demonstrate a reading and speaking vocabulary of terms used in health informatics.
- Describe factors influencing current policies that support electronic health records and use of the data.
- Identify ethical issues associated with health informatics.
- Learn basic Structured Query Language (SQL) commands to select data for reporting and analysis.
- Define the components of a data dictionary.
- Learn the role of data modeling in database maintenance and design.
- Describe the types of data, as well as the relationship between data and information.
- Explain how health information standards are developed and why they are important.
- Define data mapping and the various types of data maps.
- Apply data quality principles and practices.
- Utilize effective policies, processes, and techniques for data analysis.
- Utilize Microsoft Excel to sort, filter, summarize, interpret, and present healthcare data.
- Design appropriate data presentations.
- Understand the need for and roles of leadership related to healthcare information systems implementation and create a strategic plan for systems implementation.
- List and define the different types of health information exchange organizational structures.
- Explain the advantages and disadvantages of the different types of health information exchange (HIE) consent models.
- Collect, maintain, and report data for clinical indices/databases/registries to meet specific organization needs such as medical research and disease registries.
- Define unstructured data and structured data.
- Delineate how natural language processing is used to support secondary uses of healthcare data and information.
- Explain the meaning of a healthcare transaction and cite examples.
- Explain the meaning of de-identified health information and list the data elements that must be removed to ensure a patient’s health record is de-identified.
- Describe the importance of basic health care statistical data and vital health statistics in relation to decision making at the healthcare facility, governmental and accreditation levels.
- Explain how to build a query and generate reports to facilitate information collection using a database.
- Display data generated from health care statistics using the appropriate figures, tables, and graphs, organize the data into a usable format, and recognize data trends.
- Describe what a security risk analysis entails.
- Differentiate between the concepts of vulnerabilities, risks, and threats to the security of health information.
- Describe the steps required for conducting a business impact analysis.
- Become acquainted with electronic record e-discovery.
- Define consumer health informatics.
- Explain privacy and security issues for online health information.
- Consider the continued evolution of the field of health informatics.
See bookstore website for current book(s) at https://www.dacc.edu/bookstoreEVALUATION:
A point system will be used to determine student's grades. Three sources of point values will be used to calculate the student's final grade: homework 45%, tests 45%, and a final exam worth 10%.
90 - 100 = A
80 - 89 = B
70 - 79 = C
60 - 69 = D
59 & below = F
NOTE: Must receive C or better to pass
This course addresses the following domains of knowledge identified by the
American Health Information Management Association as indicators of entry-level
competency for Health Information Technology. See the student handbook for a
complete list of domains and subdomains.
Domain I. Data Content Structure and Standards
Subdomain I.A. Classification Systems
- Apply diagnostic and procedural groupings
- Evaluate the accuracy of diagnostic/procedural groupings
Health Record Content and Documentation
Subdomain I.C. Data Governance
- Apply policies and procedures to ensure the accuracy and integrity of health
Subdomain I.D. Data Management
- Collect and maintain health data
- Apply graphical tools for data presentations
Subdomain I.E. Secondary Data Sources
- Identify and use secondary data sources
- Validate the reliability and accuracy of secondary data sources
Domain II. Information Protection: Access, Disclosures, Archival, Privacy &
Subdomain II.A Health Law
Subdomain II.B Data Privacy, Confidentiality & Security
Subdomain II.C Release of Information
Domain III. Informatics, Analytics and Data Use
Subdomain III.A. Health Information Technologies
- Utilize software in the completion of HIM processes
- Explain policies and procedures of networks, including intranet and Internet
to facilitate clinical and administrative applications
Subdomain III.B. Information Management Strategic Planning
- Explain the process used in the selection and implementation of health
information management systems
- Utilize health information to support enterprise wide decision support for
Subdomain III.C. Analytics and Decision Support
- Explain analytics and decision support
- Apply report generation technologies to facilitate decision-making
- Utilize basic descriptive, institutional, and healthcare statistics
- Analyze data to identify trends
Subdomain III.E. Research Methods
- Explain common research methodologies and why they are used in healthcare
Subdomain III.F. Consumer Informatics
- Explain usability and accessibility of health information by patients,
including current trends and future challenges
Subdomain III.G. Health Information Exchange
- Explain current trends and future challenges in health information exchange
Subdomain III.H. Information Integrity and Data Quality
- Apply policies and procedures to ensure the accuracy and integrity of health
data both internal and external to the health system
Domain IV. Revenue Management
Subdomain IV.A. Revenue Cycle and Reimbursement
- Apply policies and procedures for the use of data required in healthcare
- Evaluate the revenue cycle management processes
Domain V. Compliance
Subdomain V.A. Regulatory
Subdomain V.B. Coding
- Analyze current regulations and established guidelines in clinical
- Determine accuracy of computer assisted coding assignment and recommend
Subdomain V.C. Fraud Surveillance
- Identify potential abuse or fraudulent trends through data analysis
Subdomain V.D. Clinical Documentation Improvement
- Identify discrepancies between supporting documentation and coded data
- Develop appropriate physician queries to resolve data and coding
Domain VI. Leadership
Subdomain VI.A. Leadership Roles
Subdomain VI.B. Change Management
Subdomain VI.C. Work Design and Process Improvement
Subdomain VI.D. Human Resources Management
Subdomain VI.E. Training and Development
Subdomain VI.F. Strategic and Organizational Management
- Summarize a collection methodology for data to guide strategic and
- Apply information and data strategies in support of information
- Utilize enterprise-wide information assets in support of organizational
strategies and objectives.
Subdomain VI.G. Financial Management
Subdomain VI.H. Ethics
Subdomain VI.I. Project Management
Subdomain VI.J. Vendor/Contract Management
Subdomain VI.K. Enterprise Information Management
- Apply knowledge of database structure and design
|STUDENT CONDUCT CODE:||Membership in the DACC community brings both rights and responsibility. As a student at DACC, you are expected to exhibit conduct compatible with the educational mission of the College. Academic dishonesty, including but not limited to, cheating and plagiarism, is not tolerated. A DACC student is also required to abide by the acceptable use policies of copyright and peer-to-peer file sharing. It is the student’s responsibility to become familiar with and adhere to the Student Code of Conduct as contained in the DACC Student Handbook. The Student Handbook is available in the Information Office in Vermilion Hall and online at: https://www.dacc.edu/student-handbook|
|DISABILITY SERVICES:||Any student who feels s/he may need an accommodation based on the impact of a disability should contact the Testing & Academic Services Center at 217-443-8708 (TTY 217-443-8701) or stop by Cannon Hall Room 103. Please speak with your instructor privately to discuss your specific accommodation needs in this course.|