COLLEGE OF HEALTH AND HUMAN SERVICES

CaliforniaStateUniversity, Long Beach

Health Care Administration Program

Management and Information Systems Course Outline

Fall 2009

Instructor:Nora Goto
E-mail:
Office HoursMondays5-6 pm
Phone: 714-322-3299 / Class Number:HCA 416
Class Meets: Sept. 1 to Dec 6th, Wed 6pm – 9:45, Room: ET-229
Additional Contact Information:
HCA Program Administrative Coordinator: Deby McGill,
Tel. 562/985-5694; fax 562/985-5886

Catalog Description

Prerequisite/Corequisite: HCA 402.
Evaluation of concepts, analysis and design of management information systems; management decision models, strategies for implementing system changes.
Letter grade only (A-F). (Lecture)

For more information on the university syllabus policy please go to the FacultyCenter for Professional Development website at:

The faculty handbook can also be found online at the following link:

COLLEGE OF HEALTH AND HUMAN SERVICES

CaliforniaStateUniversity, Long Beach

Health Care Administration Program

Management and Information Systems Course Outline

Course Description: / Background and overview of the analysis, design, evaluation, selection, installation, use, and management of information systems in health care settings. Review of the information management function and value of information. Role of information technology in the provision of high quality care and management decision making. Detail on computer hardware, software, networking, and telecommunications sufficient for understanding of concepts and relevant to health care managers and staff.
Class consists of lecture, discussion of reading material and associated questions, case studies, and contemporary topics in health care information management. Student participation and regular class attendance are essential for course success.
Expected Outcomes: / At the conclusion of this course, the student will be able to:
  1. Demonstrate an understanding of computer and computer related terminology.
  2. Demonstrate an understanding of the changing healthcare environment.
  3. Demonstrate an understanding of Online Transaction Processing Systems and Online Analytical Systems.
  4. Analyze the contribution of information technology to care processes and management decision making.
  5. Demonstrate understanding of basic statistical data used in healthcare industry
  6. Analyze healthcare data using MS Excel and MS Access
  7. Analyze the nature of information needs in the organization.
  8. Demonstrate understanding of relational database concepts
  9. Demonstrate understanding of data warehouse and data mart concepts
  10. Demonstrate an understanding of Extract Transfer and Load concepts

Textbook: / Information Systems for Health Services Administration
6th Edition by Charles J. Austin and Stuart B. Boxerman
Published by AUHPA Press/Health Administration Press.
Essentials of Statistics in Health Information Technology by Carol Osborn
Published by Jones and Bartlett, 2008
Grading:
Check Grading power point in beach board for more information / Class participation 10%
  • Attendance (5%)
  • Participation in and contribution to class discussion of lecture material, reading assignments, and questions (5%)
Lab Work Sessions 20%
  • Introduction to Access tables and queries
  • Lab exercises: calculating statistics from an Access database (10%)
  • Lab exercises: using Excel to calculate key healthcare statistics (5%)
  • Lab exercises: creating Excel graphs and pivot tables (5%)
Data Project 20%
  • Project should include section (for more information please refer to Session 1 PowerPoint):
  • Introduction
  • Overall Statistics: State Statistic vs. National average
  • Detailed Statistics by DRG (top vol DRG – Disch, Top ALOS DRGs) compare State to National
  • Conclusion
Examinations (multiple choice)
  • Mid-term (multiple-choice)—50 questions25%
  • Final (multiple-choice)—50 questions25%
Extra credits class exercises on key terms provided by instructor in the previous session (10% applied to the final exam)
Any delay in submission of assignment will result in 1 grade point reduction per week

Class Schedule

Class / Date / Topic / Reading / Turn In
1 / 09/01/10 /
  • Course purpose, outline and structure
  • Information Technology in the Twenty-First Century
  • I/T and Managerial Control
/ Chapters 1, 2 Austin and Boxerman
Session 1 PowerPoint
2 / 09/08/10 /
  • Computer Hardware
  • Computer Software
/ Chapters 3, 4Austin and Boxerman
Session 2 PowerPoint / No class
Class exercise for session 1 concepts (1% extra credits)
3 / 09/15/10 /
  • Data Management
  • Relational Data bases
/ Chapter 6 Austin and Boxerman
Session 3 PowerPoint / Class exercise for session 2 concepts (1% extra credits)
4 / 09/22/10 /
  • MS Access Lab – Introduction to Access
/ LAB – Access over view and basic exercises
Session 4 PowerPoint
Location: TBB / Class exercise for session 3 concepts (1 % extra credits)
5 / 09/29/10 /
  • Data Marts and Data Warehouse
  • OLTP and OLAP
/ Session 5 PowerPoint
Utley, Craig. "Designing the Star Schema Database." CIOBriefings. 4 Nov. 2006
<
6 / 10/06/10 /
  • MS Access Lab Exercise
  • Review Midterm Exam Topics
/ LAB exercises - students to answer key questions by analyzing an Access database, using Access queries.
Session 6 power point
Location: TBD / Class exercise for session 5 concepts (2% extra credits)
7 / 10/13/10 / MidTerm
8 / 10/20/10 /
  • EMR: Electronic Medical Records
  • Decision Support Applications
/ Electronic Medical Records." Open Clinic. 4 Nov. 2006
<
Chapter 10 Austin and Boxerman


Session 8PowerPoint
9 / 10/27/10 /
  • Extract Transfer Load
  • Reporting and Analysis
/ Session 9PowerPoint / Class exercise for session 8 concepts (1 % extra credits)
11 / 11/03/10 /
  • Basic Statistical Data Used in Acute Care Facilities
/ Chapter 1 Osborn
Session 10PowerPoint / Class exercise for session 9 concepts(2% extra credits)
12 / 11/10/10 /
  • MS Excel – formulas and reporting exercises
/ LAB exercises: calculating key health care statistics using Excel
Session 11PowerPoint
Location: TBD / Class exercise for session 10 concepts (1% extra credits)
13 / 11/17/10 /
  • Graphic Display of Data: Tables, Graphs, and Charts
/ Chapter 3 Osborn
Session 12PowerPoint
14 / 11/24/10 / Holiday
15 / 12/01/10 /
  • MS Excel – Graphs and Pivots Table exercises
  • Access and Excel Review/Questions for Term Project
/ LAB exercises: creating graphs and pivot tables
Session 13PowerPoint
Location: TBD / Class exercise for session 12 concepts (1% extra credits)
16 / 12/08/10 /
  • Information Security - HIPAA
/ Chapter 15 Austin and Boxerman
"HIPAA - PHI: List of 18 Identifiers and Definition of PHI." UCSF Human Research Protection Program. 20 Nov. 2003. 4 Nov. 2006
Session 15PowerPoint / Term Project due
17 / 12/15/10 /
  • Final

ATTENDANCE

Students are expected to attend classes regularly. Students should not miss classes except for valid reasons such as illness, accident or participation in officially approved University activities. Students are expected to notify their instructor in advance when they know they will have an excused absence. It is the student’s responsibility to arrange to make up any work missed.

WITHDRAWAL

Withdrawal after 2nd week and before final 3 weeks “permissible for serious and compelling reasons;”

DISABLED STUDENTS

Please notify instructor of need for accommodations

CHEATING AND PLAGIARISM

The following is excerpted from the CaliforniaStateUniversity, Long Beach Policy Statement85-19, dated December 13, 1985.

It is the policy of the faculty and administration to deal effectively with the student who practices cheating or plagiarism. These acts are fundamentally destructive of the process of education and the confident evaluation of a student's mastery over a subject. A University maintains respect and functions successfully within the larger community when its reputation is built on honesty. By the same token, each student benefits in helping to maintain the integrity of the University. This policy, therefore, provides for a variety of faculty actions including those which may lead to the assignment of a failing grade for a course and for administrative actions which may lead to dismissal from the University. It is the intent to support the traditional values that students are on their honor to perform their academic duties in an ethical manner.

GENERAL:

The following definitions of cheating and plagiarism shall apply to all work submitted by a student.

DEFINITION OF PLAGIARISM:

Plagiarism is defined as the act of using the ideas or work of another person or persons as if they were one's own, without giving credit to the source. Such an act is not plagiarism if it is ascertained that the ideas were arrived at through independent reasoning or logic or where the thought or idea is common knowledge.

Acknowledge of an original author or source must be made through appropriate references, i.e., quotation marks, footnotes, or commentary. Examples of plagiarism include, but are not limited to, the following: the submission of a work, either in part or in whole, completed by another; failure to give credit for ideas, statements, facts or conclusions with rightfully belong to another; in written work, failure to use quotation marks when quoting directly from another, whether it be a paragraph, a sentence, or even a part thereof; close and lengthy paraphrasing of another writing or paraphrasing should consult the instructor.

Students are cautioned that, in conducting their research, they should prepare their notes by (a) either quoting material exactly (using quotation marks) at the time they take notes from a source; or (b) departing completely from the language used in the source, putting the material into their own words. In this way, when the material is used in the paper or project, the student can avoid plagiarism resulting from verbatim use of notes. Both quoted and paraphrased materials must be given proper citations.

Although the University catalog does not cover this aspect of plagiarism, it is NOT acceptable to submit the same paper for two courses. If I discover that you have submitted the same paper for another course, you will receive a failing grade for your paper in this course."

DEFINITION OF CHEATING:

Cheating is defined as the act of obtaining or attempting to obtain or aiding another to obtain academic credit for work by the use of any dishonest, deceptive or fraudulent means. Examples of cheating during an examination would include, but not be limited to the following: copying, either in part or in wholes, from another test or examination; discussion of answers or ideas relating to the answers on an examination or test unless such discussion is specifically authorized by the instructor; giving or receiving copies of an exam without the permission of the instructor; using or displaying notes; "cheat sheets," or other information or devices inappropriate to the prescribed test conditions, as when the test of competence includes a test of unassisted recall of information, skill, or procedure; allowing someone other than the officially enrolled student to represent the same. Also included are plagiarism as defined and altering or interfering with the grading procedures.

It is often appropriate for students to study together or to work in teams on projects. However, such students should be careful to avoid use of unauthorized assistance, and to avoid any implication of cheating, by such means as sitting apart from one another in examinations, presenting the work in a manner which clearly indicates the effort of each individual, or such other method as is appropriate to the particular course.

ACADEMIC ACTION:

One or more of the following academic actions are available to the faculty member who finds a student has been cheating or plagiarizing.

(a) Review -- no action.

(b) An oral reprimand with emphasis on counseling toward prevention of further occurrences;

(c) A requirement that the work be repeated;

(d) Assignment of a score of zero (0) for the specific demonstration of competence, resulting in the proportional reduction of final course grade;

(e) Assignment of a failing final grade;

(f) Referral to the Office of Judicial Affairs for possible probation, suspension, or expulsion.

  1. References - Articles

Akhtar M.U., Dunn K., Smith J.W. “Commercial clinical warehouses: from wave of the past to the state of the art.” Journal of Healthcare Information Management,Spring. 2005 20-26.

Badger S.L., Bosch R.G., Toteja P. “Rapid implementation of an electronic health record in an academic setting” Journal of Healthcare Information Management,Spring. 2005 34-40

Bright, Y. “Opening the Lines of Communications.” Health Management Technology, April 2003.

Donnelson, D. “Converting Interim HIPAA Fixes Into Long Term Strategies.” Health Management Technology, October 2003.

Fickenscher, K. “The New Data Frontier.” Health Management Technology, October 2005.

Hayes, D. and Schneider, W. “Using Evidence-based for Process for Integrating New Healthcare Technologies.” Health Management Technology, September 2006.

Klien, J. “HL7 CDA: The Missing Link in Healthcare IT.” Health Management Technology, September 2006.

Koh H.C., Tan G. “HIPAA Data mining applications in healthcare.” Journal of Healthcare Information Management,Spring. 2005 64–72.

Lang R.D. “Enterprise information systems and project organization type: a mixed-bag approach for success” Journal of Healthcare Information Management,Spring. 2005 2-4

Langabeer J. “The evolving role of supply chain technology in healthcare” Journal of Healthcare Information Management,Spring. 2005 27-33

McBride, M. “Diving for Data.” Health Management Technology, March 2006.

Moore, J. “Paper Overload Prompts Process Improvement?” ADVANCE for Health Information Professionals, December 2006.

Pickens S., Solak J . “National provider identifier (NPI) planning and implementation fundamentals for providers and payers” Journal of Healthcare Information Management,Spring. 2005 41-47

Robbins, B. “Who Moved My Chart?” ADVANCE for Health Information Professionals, August 2002.

St. Claire D. “Healthcare Last Mile: Linking Disparate Information Systems.” Health Management Technology, February 2003.

Smaltz D., Callander R., Turner M., Kennamer G., Wurtz H., Bowen A., Waldrum M.R “Making sausage—effective management of enterprise-wide clinical IT projects care” Journal of Healthcare Information Management,Spring. 2005 48-55

  1. References – Books

Gartee, Richard 2007. Electronic Health Records. Upper Saddle River, NJ: Pearson-Prentice Hall

Goldsmith, Jeff 2003. Digital Medicine. Chicago, IL: Health Administration Press

Morgan, Tony 2002. Business Rules and Information Systems. Boston, MA: Addison Wesley

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