Contact person
Your name, or person
available for further
information on this course.
Please add mail address.
Name of course
(e.g. “Evaluation of Information
System”)
Audience
(e.g. Students of Health
Informatics, Medical students,
Management students, and/or
others)
Level
Constance M. Johnson, PhD, MS, RN
Lead Faculty for the Informatics Specialty
Duke University School of Nursing (DUSON)
Durham, NC
constance.johnson@duke.edu
Health IT evaluation content is distributed across four courses in the
Masters of Science in Nursing (MSN), Informatics Specialty
curriculum.
Masters of Science in Nursing (MSN) students admitted to the
Informatics Specialty.
Masters
(e.g. Bachelor, Master, PhD)
Number of participants
(Typical number, e.g. 10 - 15)
Duration of course
(e.g. 1-week-course; 3 ECTS
(European Credit Transfer
System) with 15 hours of
lectures; 4-hours course)
Learning objectives
(e.g. Students should be able
to assess quality of evaluation
studies, should be able to
define an adequate study
design etc.) – normally
described in the curriculum.
Structure and content
(e.g. part 1: introduction,
motivation for evaluation; part
2: evaluation methods, details
on qualitative methods; part 3:
evaluation design (RCT,
quasi-experimental,
observational); part 4. Case
studies …); please be
sufficiently specific.
Approximately, 20 MSN students are admitted to the Informatics
Specialty each school year.
2 MSN core courses (6 academic credits)
2 Informatics Specialty courses (6 academic credits)
Evaluation case studies and exercises are embedded in other
informatics specialty courses.
The curriculum is designed to conform with specific nursing informatics
competencies identified by the: (1) American Medical Informatics
Association (AMIA), American Nursing Association (ANA), American
Nursing Credentialing Center (ANCC), Health Information Management
Systems Society (HIMSS), and American Hospital Information
Management Association (AHIMA).
Core Curriculum Topics: basic statistics; database searches, critical
review of the literature, systematic review and meta-analysis, study
design (observational vs. randomized, case control, etc.) qualitative and
quantitative research methods, evidence-based practice, best practices
implementation and evaluation.
Informatics Specialty Topics: analytic tools (data mining, data analytics,
predictive modelling and forecasting), and evalution tools (formative vs.
summative evalution, usability evaluation). Published evaluations are
used as case studies to demonstate the application of specific
evaluation methods.
Core Curriculum: Text books and reading materials related to study
design and statistics.
Teaching material
(e.g. Brender et al 2006
Handbook; Han et al 2005 –
please give complete
reference)
Assignments
(number and type, e.g.
presentation of one evaluation
papers and a written exam)
Remarks
(e.g. anything special about
this course, anything you want
to share with others)
Informatics Specialty: Text books and reading materials related to
biomedical informatics (Shortliffe and Cimino, Biomedical Informatics:
Computer Applications in Health Care and Biomedicine, 4th edition,
Springer Publishing, 2013) and the design, implementation, and
evaluation of health information systems.
Assignments for core curriculum and informatics specialty courses
include written examinations, course papers, and course projects.
The Duke MSN, Informatics Specialty curriculum separates general
evaluation from evaluation elements unique to the informatics
profession. We believe that this arrangement serves to enhance student
understanding of evaluation theory, methods and applications.