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Information Technology and Systems for Healthcare (HI300)

Information Technology and Systems for Healthcare (HI300). Leslye Danglade Email: Ldanglade@Kaplan.edu AIM: leslyedd. Introduction. Proper Netiquette is important. Basic Seminar Rules: Stay on Topic- If you want to talk to another student about something, please email him or her later.

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Information Technology and Systems for Healthcare (HI300)

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  1. Information Technology and Systems for Healthcare (HI300) LeslyeDanglade Email: Ldanglade@Kaplan.edu AIM: leslyedd

  2. Introduction Proper Netiquette is important Basic Seminar Rules: Stay on Topic- If you want to talk to another student about something, please email him or her later. If we seem to be getting off track or too much is going on at once, then I will ask everyone to HOLD UP. That is your cue to stop typing so that we can refocus All seminars are recorded so that you can read the transcripts at another time. Respect Each Others Ideas Don’t Panic we are all in this together.

  3. Communication with Me • Email- Ldanglade@kaplan.edu • Seminars are held on Wednesdays from • 8PM – 9PM EST In seminar, you can messenger me privately by clicking on my name at the left hand side of the seminar screen. I have turned off the ability for you to messenger other students privately, as that seems to be distracting. You can always email other students and ask for their AIM names so that you can contact each other.

  4. UNIT 2: Data and Information Management

  5. Unit 2- What do we have to do? • Review Key Concepts and Terms On the Reading page • Read Data Information and Management AHIMA Custom Text • Respond to the Discussion Board Characteristics of Data quality25 Points • Complete Learning Activity Assignment Submit Learning Activity Assignment to the Dropbox35 Points • Complete Individual Project Address the Project Questions and Submit to the Dropbox50 Points

  6. From Data to Information • Data = raw facts stored as characters, words, symbols, measurements, statistics • Information = processed data • Knowledge = information combined with experience and context

  7. Knowledge • Two types of knowledge: • Explicit • Easily communicated and stored • Procedure manuals, clinical guidelines • Tacit • Not easily communicated or stored • Employee knowledge and experience

  8. Joint Commission IM Model • Managing information is an active, planned activity • Four types of information : • Patient specific • Aggregate • Comparative • Knowledge-based

  9. Joint Commission IM Model • Needs assessment • Planning and designing • Capturing and reporting • Processing and analyzing • Storing and retrieving • Disseminated and displayed

  10. Basic Principles of Information Management • Information management: • Treat information as an essential organizational resource • Obtain top executive support for IS planning and management • Develop an IS strategic vision and plan

  11. Basic Principles of Information Management (continued) • Health information management planning • The value of information lies in its application to decision making within the organization. • Quality data are the foundation of quality information. • Integration of systems enhances IS quality and efficiency. • Information users must be involved in defining needs and designing information systems.

  12. MRI Health Care Documentation • Information Capture • Report Generation

  13. Data Quality Standards • MRI Principles of Health Care Documentation • AHIMA Data Quality Model

  14. AHIMA Characteristics of Data Quality • Characteristics of data quality • Accuracy • Accessibility • Comprehensiveness • Consistency • Currency • Definition • Granularity • Precision • Relevancy • Timeliness

  15. Database Design and Management • Database life cycle (DBLC) • Initial study • Design • Implementation • Testing and evaluation • Operation • Maintenance and evaluation

  16. Database Design and Management • Types of databases • Relational • Object-oriented • Advantages of relational databases • Structural independence • Conceptual simplicity • Ease of design, implementation, management, and use • Ad hoc query capability • Powerful database management system

  17. Database Design and Management • Object-oriented databases: more applications in the future • Data models: link between “real” things about which data/information are to be collected and maintained and the actual database structure

  18. Database Design and Management • Levels of data models • Conceptual data model • Logical data model: entity relationship diagram (ERD), unified modeling language (UML) • Physical data model • Entity relationship diagram • Entity • Attributes • Relationships: one to one, one to many, many to many

  19. Data Dictionaries • Data dictionary: a descriptive list of the data elements to be collected in an information system or database, the purpose of which is to ensure consistency of usage • Types of data dictionaries • DBMS data dictionary • Organization-wide data dictionary • Development of data dictionaries • Define the scope of the project • Determine the makeup of the project team • Set priorities • Learn from the experience of others

  20. Quality Management Roles • Database administrator • Data administrator • Data resource manager • Data Analyst

  21. Data Integrity • Data integrity: assurance that data have only been accessed or modified by individuals authorized to do so • Data integrity constraints • Data type • Legal values • Data format • Key constraints

  22. Data Security • Authorization management: protecting the security and privacy of the data in a database • User access control • Usage monitoring • User access control • Defines each user of the database • Defines user groups • Assigns access privileges • User monitoring: audit trails

  23. Data Display and Presentation • Ideal Graphs… (Tufte, 2001) • show the data. • induce the viewer to think about the substance rather than the methodology, graphic design, the technology, or other things. • avoid distorting what the data have to say. • present many numbers in a small space. • make large data sets coherent. • encourage the eye to compare different pieces of data. • reveal the data at several levels of detail. • serve a reasonably clear purpose. • are closely integrated with the statistical and verbal descriptions of the data set.

  24. Data Display and Presentation • Steps to follow for designing and giving presentations (Mills, 2007) • Define your purpose • Profile your audience • Map your structure • Add drama and impact • Rehearse until perfect • Deliver with style • Review and revise

  25. Optimize PowerPoint • Strategies to optimize the impact of a PowerPoint presentation • Align PowerPoint with the way the brain works – use both visual and verbal channels • Segment your story into bites • Make clear to your viewer the location and direction of the presentation • Use visuals to persuade • Purge all but essential text and audiovisual effects • Dice and sequence complex visuals

  26. Looking Ahead • Review Key Concepts and Terms On the Reading page • Read Electronic Health Records AHIMA Custom Text • Respond to the Discussion Board Characteristics of Data quality 25 Points • Complete Individual Project Address the Project Questions and Submit to the Dropbox100 Points • Take Quiz You will have an hour to complete the quiz questions.10 Points

  27. Questions

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