LSUS HCAD750 Module 1 COMPLETE SOLUTION

LSUS HCAD750 Module 1 COMPLETE SOLUTION 1. healthcare informatics: the field of information science concerned with the mgmt of all aspects of health data; combination of principles from: disciplinary science, computer science, information science, cognitive science 2. informatics: the science of information management in healthcare 3. core elements of informatics: DIKW (data, information, knowledge, wisdom) 4. data: raw facts 5. information: data that has been interpreted for meaning 6. knowledge: The awareness and understanding of a set of information and the ways that information can be made useful to support a specific task or reach a decision. 7. wisdom: appropriate use of knowledge 8. Foundation of Knowledge model: helps to explain the ties between discipli- nary science and informatics and knowledge; informatics is viewed as a tool for finding knowledge KA - knowledge acquisition KD - knowledge dissemination KG - knowledge generation KP - knowledge processing 9. Healthcare professionals and knowledge: professionals are: knowledge workers, acquirers, users, engineers, managers, developers or generators 10. knowledge viability: refers to applications (most technology based) that offer easily accessible, accurate and timely information obtained from a variety of resources and methods presented in a manner as to provide us with the necessary elements to generate new knowledge. 11. wisdom is developed through: knowledge, experience, insight and reflection 12. informatics competency: the knowledge, skills, and ability to perform specific informatics tasks 13. AHIMA-AMIA task force: 5 domains for all healthcare workers: 1. Health information literacy and skills 2. Health informatics skills using the EHR 3. Privacy and confidentiality of health information 4. Health information/ data technical security 5. Basic computer literacy skills 14. criteria of valuable meaningful information: accessible, accurate, timely, complete, cost effective, flexible, reliable, relevant, simple, verifiable, and secure 15. data integrity: whole, complete, correct, and consistent data 16. compromises data integrity: human error, viruses, worms, other bugs, hard- ware failures or crashes, transmission errors, and/or hacker entering the system 17. dirty data: errors in the database - duplicate, incomplete, or outdated records 18. char