HCAD750 Module 1 Study Guide healthcare informatics (ANS- 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
informatics (ANS- the science of information management in healthcare
core elements of informatics (ANS- DIKW (data, information, knowledge, wisdom)
Data (ANS- raw facts
information (ANS- data that has been interpreted for meaning
knowledge (ANS- 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.
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wisdom (ANS- appropriate use of knowledge
Foundation of Knowledge model (ANS- helps to explain the ties between disciplinary 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
Healthcare professionals and knowledge
(ANS- professionals are: knowledge workers, acquirers, users, engineers,
managers, developers or generators
knowledge viability (ANS- 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.
wisdom is developed through (ANS- knowledge, experience, insight and reflection 2 / 3
informatics competency (ANS- the knowledge, skills, and ability to perform specific informatics tasks
AHIMA-AMIA task force (ANS-
5 domains for all healthcare workers:
- Health information literacy and skills
- Health informatics skills using the EHR
- Privacy and confidentiality of health information
- Health information/ data technical security
- Basic computer literacy skills
criteria of valuable meaningful information (ANS- accessible, accurate, timely, complete, cost effective, flexible, reliable, relevant, simple, verifiable, and secure
data integrity (ANS- whole, complete, correct, and consistent data
compromises data integrity (ANS- human error, viruses, worms, other bugs, hardware failures or crashes, transmission errors, and/or hacker entering the system
dirty data (ANS- errors in the database - duplicate, incomplete, or outdated records
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