HITM1240

This course introduces the concepts of an information system and the life cycle of health information, including the creation, access, use, exchange, storage, maintenance, and destruction of health data. Security measures to protect organization-wide information systems, as well as measures to protect data integrity and validity are discussed. Students will utilize a simulated health information system to explore data quality processes and understand the workflow of health information professionals in managing electronic health records. Understanding the components of a computerized health record is essential for graduates pursuing careers in Health Information and Medical Coding and serves as a foundation for those advancing into the Health Data Analytics course.

Student Learning Outcomes:

• Identify the initiatives and framework of the electronic health record, including the steps takin in the planning, design, selection, implementation, integration, testing and evaluation and support for organizational-wide information systems.
• Determine appropriate data collection methods considering end-user perspectives and needs for inpatient clinical information systems, management support systems, and outpatient information systems.
• Identify the use of physical, technical, and administrative controls, audit trails, and compliance plans to ensure safeguards are in place to protect the privacy and security of patient information.
• Engage in the use of simulated EHR applications to perform a variety of health information tasks.
• Utilize a data dictionary to plan for the collection and configuration of data to ensure the meaning, relevance, and quality of data elements are the same for all users.
• Demonstrate a conceptual and practical understanding of the health information lifecycle, including the importance of data validity and data security throughout the cycle.
• Recognize quality assessment and improvement processes through data collection, tracking, auditing, and reporting to identify trends, compliance, performance issues, and risks.
• Compare and contrast interoperability standards for various health systems, including the use of standardized healthcare data sets and standards in the electronic environment.
• Engage in advocacy efforts to promote positive patient outcomes, including patient support for individuals with social determinants of health and educating others on the scope of practice and role of health information management professionals.
• Utilize critical thinking to address challenges and opportunities, including thorough and logical explanations for accurate interpretation founded on evidence-based information and self-reflection.
• Explore the use of advanced digital applications such as virtual collaboration tools, artificial intelligence applications, and other machine learning.