Electronic Health Records

 

Syllabus for course at advanced level

 

Course Name

Electronic Health Records

 

Course code : KUKM2211402

Department : Department of Health Policy and Management

Term : Semester 4

Time commitment : 120 hours

 

Prerequisites and special admittance requirements

 

Course content

This course is designed to introduce Electronic Medical Records (EMR). EMR is a digitized version of a patient’s medical record, providing a real-time, patient-centric overview that makes information instantly and securely available to authorized users. While EMR contains a patient’s medical and therapy history, EMR systems go beyond the standard clinical data collection within a provider’s office and encompass a broader view of patient care.

EMR can:

  • Contain patient history, diagnosis, medications, therapy plans, immunization dates, allergies, radiology images, and laboratory and test results.
  • Provide access to evidence-based tools that help providers make informed decisions about patient care.
  • Automate and streamline provider workflows.

One key feature of EMR is that health information can be created and organized by authorized providers in a digital format, which can then be shared with other providers across multiple healthcare organizations. EMR is designed to facilitate the sharing of information with various healthcare entities, including laboratories, specialists, medical imaging facilities, pharmacies, emergency facilities, campuses, and clinics. This ensures the ability to obtain information from all clinicians involved in patient care.

 

Learning objectives

After completing the course the student should be able to:

  1. Applying theoretical concepts of electronic medical records
  2. Building an implementation strategy
  3. Detect beneficial uses of electronic medical records
  4. Able to identify organisational needs for EHR implementation

 

Topics

  1. EHR design and implementation in the organisation
  2. EHR support and sustainability in the organisation
  3. Clinical information systems and clinical data management
  4. Information technology to support EHR
  5. EHR adoption strategy
  6. Hospital information system integration
  7. Towards the liberation of medical data
  8. Clinical data repository and data warehouse
  9. EHR usability testing
  10. Clinical decision support system and patient safety
  11. EHR evaluation

 

Education

The teaching consists of:

  • Lectures
  • Tutorials
  • Lessons
  • Internship/ research visits

 

Forms of examination

The course is examined through:

  • Quiz, 5 number of multiple choice question in topic 1 and 2, 20% credits
  • Assignment, group presentation at tutorials, 30% credits
  • Final test, take home exam by writing essay 1000 words with references, 50% credits

 

Required readings

  1. Edward H. Shortliffe and Marsden S. Blois. Biomedical Informatics: The Science and the Pragmatics. in Biomedical Informatics, Computer Applications in Healthcare and Biomedicine, 4th Edition” E.H. Shortliffe, J.J. Cimino (Eds.), Springer, 2014
  2. Edwards D, Stajich J, Hansen D. Bioinformatics Tools and Applications. Edwards D, editor. Media. Springer; 2009.
  3. Biomedical Informatics, Computer Applications in Healthcare and Biomedicine, 4th Edition” E.H. Shortliffe, J.J. Cimino (Eds.), Springer, 2014
  4. W. Edward Hammond, Charles Jaffe, James J. Cimino, and Stanley M. Huff. Standards in Biomedical Informatics in Biomedical Informatics, Computer Applications in Healthcare and Biomedicine, 4th Edition” E.H. Shortliffe, J.J. Cimino (Eds.), Springer, 2014.