Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Bürkle, R. Kuch, H. Prokosch, J. Dudeck (1999)
Stepwise Evaluation of Information Systems in an University HospitalMethods of Information in Medicine, 38
R. Cyert, J. March (1964)
A Behavioral Theory of the Firm
W.W. Chin, M.K.O. Lee
On the formation of end‐user computing satisfaction: a proposed model and measurement instrument
B. Ives, M. Olson (1984)
User Involvement and MIS Success: A Review of ResearchManagement Science, 30
D. Galletta, A. Lederer (1989)
Some Cautions on the Measurement of User Information SatisfactionDecision Sciences, 20
Michael Weiner, T. Gress, D. Thiemann, M. Jenckes, S. Reel, S. Mandell, E. Bass (1999)
Research Paper: Contrasting Views of Physicians and Nurses about an Inpatient Computer-based Provider Order-entry SystemJournal of the American Medical Informatics Association : JAMIA, 6 3
C. Friedman, J. Wyatt (1997)
Evaluation Methods in Medical Informatics
J. Allan, J. Englebright (2000)
Patient-centered documentation: an effective and efficient use of clinical information systems.The Journal of nursing administration, 30 2
I. Franklin, Den Pain, E. Green, J. Owen (1992)
Job design within a human centred (system) design frameworkBehaviour & Information Technology, 11
James Anderson (1997)
Clearing the way for physicians' use of clinical information systemsCommun. ACM, 40
J. Miller (1989)
Information systems effectiveness: the fit between business needs and system capabilities
F. Dupuits, A. Hasman (1995)
User satisfaction of general practitioners with HIOS+, a medical decision support system.Computer methods and programs in biomedicine, 47 2
D. Bates, Michael Cohen, L. Leape, J. Overhage, M. Shabot, T. Sheridan (2001)
White Paper: Reducing the Frequency of Errors in Medicine Using Information TechnologyJournal of the American Medical Informatics Association : JAMIA, 8 4
G. Matlin (1979)
SIM Competition Paper: What Is the Value of Investment in Information Systems?MIS Q., 3
Alexander Maish (1979)
A User's Behavior Toward His MISMIS Q., 3
C. Sicotte, J. Denis, P. Lehoux, F. Champagne (1998)
The Computer-Based Patient Record Challenges Towards Timeless and Spaceless Medical PracticeJournal of Medical Systems, 22
B. Kaplan (1997)
Review: Addressing Organizational Issues into the Evaluation of Medical SystemsJournal of the American Medical Informatics Association : JAMIA, 4 2
H. Chin, P. McClure (1995)
Evaluating a comprehensive outpatient clinical information system: a case study and model for system evaluation.Proceedings. Symposium on Computer Applications in Medical Care
V. Venkatesh, C. Speier, Michael Morris (2002)
User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated ModelDecis. Sci., 33
R. Loo, E. Gennip, A. Bakker, A. Hasman, F.F.H. Rutten (1995)
Evaluation of automated information systems in health care: an approach to classifying evaluative studies.Computer methods and programs in biomedicine, 48 1-2
B. Ives, M. Olson, J. Baroudi (1983)
The measurement of user information satisfactionMicroeconomic Theory eJournal
Aristides Vagelatos, D. Sofotassios, C. Papanikolaou, Christos Manolopoulos (2002)
ICT penetration in public Greek hospitals.Studies in health technology and informatics, 90
N. Melone (1990)
A theoretical assessment of the user-satisfaction construct in information systems researchManagement Science, 36
A. Grant, I. Plante, F. Leblanc (2002)
The TEAM methodology for the evaluation of information systems in biomedicineComputers in biology and medicine, 32 3
D.B. Nevile, M. Keough, M. Barron, D. MacDonald, G. Gates, S. Tucker, S. Cotton, G. Farrell, T. Hoekman
Towards an evaluation framework for electronic health records initiatives: an inventory of electronic health records initiatives across Canada
T. Saarinen (1993)
Success of Information Systems: Evaluation of Development Projects and the Choice of Procurement and Implementation Strategies
D. Straub, M. Limayem, Elena Karahanna-Evaristo (1995)
Measuring System Usage: Implications for IS Theory TestingManagement Science, 41
G. Pugh, J. Tan (1994)
Computerized Databases for Emergency Care: What Impact on Patient Care?Methods of Information in Medicine, 33
Arthur Money, D. Tromp, T. Wegner (1988)
The Quantification of Decision Support Benefits Within the Context of Value AnalysisMIS Q., 12
P. Degoulet, M. Fieschi (1996)
Introduction to Clinical Informatics
E. Johnsen (1964)
Richard M. Cyert & James G. March, A Behavioral Theory of The Firm, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1963, 332 s.Ledelse and Erhvervsøkonomi, 28
Ritu Agarwal, J. Prasad (1997)
The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information TechnologiesDecision Sciences, 28
N. Au, E. Ngai, T. Cheng (2002)
A critical review of end-user information system satisfaction research and a new research frameworkOmega-international Journal of Management Science, 30
D. Rigby (2001)
Integrated continence services.Nursing standard (Royal College of Nursing (Great Britain) : 1987), 16 8
R. Bokhari (2005)
The relationship between system usage and user satisfaction: a meta-analysisJ. Enterp. Inf. Manag., 18
Brian Ferguson, D. Feeny, G. Guyatt, Peter Tugwell, M. Drummond, G. Stoddart, G. Torrance (1988)
Health Care Technology: Effectiveness, Efficiency and Public Policy@@@Methods for the Economic Evaluation of Health Care ProgrammesCanadian Public Policy-analyse De Politiques, 14
T. Bürkle, E. Ammenwerth, H. Prokosch, J. Dudeck (2001)
Evaluation of clinical information systems. What can be evaluated and what cannot?Journal of evaluation in clinical practice, 7 4
M. Igbaria, M. Tan (1997)
The consequences of information technology acceptance on subsequent individual performanceInf. Manag., 32
Kerstin Grundén (2002)
An Evaluation Model for CSCW Systems
C. Ohmann, O. Boy, Q. Yang, H.P. Eich
Evaluierung der Benutzerzufriedenheit mit einem Krankenhausinformationssystem: theoretische Aspekte und klinische Anwendung
V. Grover, S. Jeong, A. Segars (1996)
Information systems effectiveness: The construct space and patters of applicationInf. Manag., 31
Lucas Hc (1978)
The evolution of an information system: from key-man to every person.Sloan Management Review, 19
R. Hirschheim, S. Smithson
A critical analysis of information systems evaluation
R.M. Gardner, R.K. Hulse, K.G. Larsen
Assessing the effectiveness of a computerized pharmacy system
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
D.W. Bates, M. Cohen, L.L. Leape, J.M. Overhage, M.M. Shabot, T. Sheridan
Reducing the frequency of errors in medicine using information technology
D. Goodhue, Ronald Thompson (1995)
Task-Technology Fit and Individual PerformanceMIS Q., 19
J. Øvretveit
Evaluating Health Interventions
S. Palvia, Ravi Sharma, D. Conrath (2001)
A socio-technical framework for quality assessment of computer information systemsInd. Manag. Data Syst., 101
R. Gardner, H. Lundsgaarde (1994)
Research Paper: Evaluation of User Acceptance of a Clinical Expert systemJournal of the American Medical Informatics Association : JAMIA, 1 6
Jeffrey Hammond, H. Johnson, C. Ward, Robin Varas, R. Dembicki, E. Marcial (1991)
Clinical evaluation of a computer-based patient monitoring and data management system.Heart & lung : the journal of critical care, 20 2
M.F. Drummond, B.J. O'Brien, G.L. Stoddart, G.W. Torrance
Methods for the Economic Evaluation of Health Care Programmes
R. Arenson, J. London (1979)
Comprehensive analysis of a Radiology Operations Management computer system.Radiology, 133 2
M.J. van der Meijden, H.J. Tange, T.A. Hasman
Determinants of sucess of inpatient clinical information systems: a literature review
J. Wyatt, S. Wyatt (2003)
When and how to evaluate health information systems?International journal of medical informatics, 69 2-3
M. Gold (2016)
Cost-effectiveness in health and medicine
G. Matlin
What is the value of investment in information systems?
M.L. Markus, M. Keil
If we build it, they will come: designing information systems that people want to use
P. Lehoux, C. Sicotte, J. Denis (1999)
Assessment of a computerized medical record system: disclosing scripts of useEvaluation and Program Planning, 22
V. Ribière, A. Salle, R. Khorramshahgol, Y. Gousty (1999)
Hospital information systems quality: a customer satisfaction assessment toolProceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers, Track4
M. Meijden, H. Tange, J. Troost, A. Hasman (2003)
Review Paper: Determinants of Success of Inpatient Clinical Information Systems: A Literature ReviewJournal of the American Medical Informatics Association : JAMIA, 10 3
J. Hogue, H. Watson
Management's role in the approval of decision support systems
M. Mahmood, J. Burn, L. Gemoets, Carmen Jacquez (2000)
Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literatureInt. J. Hum. Comput. Stud., 52
Changki Kim, Kunsoo Suh, Jinjoo Lee (1998)
Utilization and user satisfaction in end-user computing: a task contingent modelInformation Resources Management Journal, 11
B. Kaplan, H. Lundsgaarde (1996)
Toward an Evaluation of an Integrated Clinical Imaging System: Identifying Clinical BenefitsMethods of Information in Medicine, 35
W.H. DeLone, E.R. McLean
Information systems success: the quest for the dependent variable
V. Sethi, Ruth King (1998)
An application of the cusp catastrophe model to user information satisfactionInf. Manag., 34
D. Robey (1979)
User Attitudes and Management Information System UseAcademy of Management Journal, 22
R.M. Gardner, H.P. Lundsgaarde
Evaluation of user acceptance of a clinical expert System
C. Marasovic, C. Kenney, D. Elliott, D. Sindhusake (1997)
A comparison of nursing activities associated with manual and automated documentation in an Australian intensive care unit.Computers in nursing, 15 4
W. Doll, G. Torkzadeh (1988)
The Measurement of End-User Computing SatisfactionMIS Q., 12
J. Bailey, S. Pearson (1983)
Development of a Tool for Measuring and Analyzing Computer User SatisfactionManagement Science, 29
William DeLone, E. McLean (2003)
The DeLone and McLean Model of Information Systems Success: A Ten-Year UpdateJ. Manag. Inf. Syst., 19
Peter Seddon (1997)
A Respecification and Extension of the DeLone and McLean Model of IS SuccessInf. Syst. Res., 8
R. Walton, S. Dovey, E. Harvey, N. Freemantle (1999)
Computer support for determining drug dose: systematic review and meta-analysisBMJ, 318
Bernadette Szajna (1996)
Empirical evaluation of the revised technology acceptance modelManagement Science, 42
G. Sanders, E. Garrity (1998)
Information systems success measurement
E. Ammenwerth, R. Eichstädter, R. Haux, U. Pohl, S. Rebel, S. Ziegler (2001)
A Randomized Evaluation of a Computer-Based Nursing Documentation SystemMethods of Information in Medicine, 40
A. Trice, M. Treacy (2015)
Utilization as a dependent variable in MIS research
Jeremy Wyatt, David Spiegelhalter (1991)
Field trials of medical decision-aids: potential problems and solutions.Proceedings. Symposium on Computer Applications in Medical Care
F. Lee, J.M. Teich, C.D. Spurr, D.W. Bates
Implementation of physician order entry: user satisfaction and self‐reported usage patterns
J. Sailly, T. Lebrun, P. Vincent, L. Eeckhoudt, D. Izard, H. Leclerc, G. Arbon, A. Hassoun (1985)
The medical and economic consequences of automation in bacteriology: a case study in a French university hospital.Social science & medicine, 21 10
N. Doherty, L. Mcaulay
The relationship between the ex antes and ex posts information systems evaluation: reflections from the literature and the practice of evaluating e‐commerce investments
A. Winter, E. Ammenwerth, O. Bott, B. Brigl, A. Buchauer, S. Gräber, A. Grant, A. Häber, W. Hasselbring, R. Haux, Andreas Heinrich, Henning Janßen, Ingo Kock, Oliver-S. Penger, H. Prokosch, Arnold Terstappen, Andreas Winter (2001)
Strategic information management plans: the basis for systematic information management in hospitalsInternational journal of medical informatics, 64 2-3
M. Urschitz, S. Lorenz, L. Unterasinger, P. Metnitz, K. Preyer, Christian Popow (1998)
Three Years' Experience with a Patient Data Management System at a Neonatal Intensive Care UnitJournal of Clinical Monitoring and Computing, 14
A. Szczepura, J. Stilwell (1988)
Information for decision makers at hospital laboratory level: an example of a graphical method of representing costs and effects for a replacement automated technology in a haematology laboratory.Social science & medicine, 26 7
H. Salmela, P. Turunen
Evaluation of information systems in health care: framework and its application
P. Nykänen (2000)
Decision support systems from a health informatics perspective
W. Doll, Anthony Hendrickson, Xiaodong Deng (1998)
Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance AnalysisDecision Sciences, 29
R. Gardner, R. Hulse, K. Larsen (1990)
Large-Scale Clinical Systems. Impact of Large-Scale Systems on Clinical Practice: Assessing the Effectiveness of a Computerized Pharmacy System
J. Bailey (1990)
Development of an Instrument for the Management of Computer User Attitudes in HospitalsMethods of Information in Medicine, 29
G. Ditsa, R. MacGregor (1997)
Our Mousetrap's Fine: So Why Aren't People Beating A Path To Our Door?Information Resources Management Journal, 10
C. Ohmann, O. Boy, Q. Yang (1997)
A systematic approach to the assessment of user satisfaction with health care systems: constructs, models and instruments.Studies in health technology and informatics, 43 Pt B
F. Lee, J. Teich, C. Spurr, D. Bates (1996)
Research Paper: Implementation of Physician Order Entry: User Satisfaction and Self-Reported usage PatternsJournal of the American Medical Informatics Association : JAMIA, 3 1
W.J. Doll, A. Hendrickson, X. Deng
Using Davis's perceived usefulness and ease of use instruments in decision making: a multigroup invariance analysis
R. McHaney, Ross Hightower, J. Pearson (2002)
A validation of the end-user computing satisfaction instrument in TaiwanInf. Manag., 39
Jack Hogue, H. Watson (1983)
Management's Role in the Approval and Administration of Decision Support SystemsMIS Q., 7
Yolande Chan (2000)
IT Value: The Great Divide Between Qualitative and Quantitative and Individual and Organizational MeasuresJournal of Management Information Systems, 16
M. Ginzberg (1981)
Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered QuestionsManagement Science, 27
Truls Østbye, A. Moen, G. Erikssen, P. Hurlen (1997)
Introducing a Module for Laboratory Test Order Entry and Reporting of Results at a Hospital Ward: An Evaluation Study Using a Multi-Method ApproachJournal of Medical Systems, 21
T. Saarinen (1996)
An expanded instrument for evaluating information system successInf. Manag., 31
Amy Gatian (1994)
Is user satisfaction a valid measure of system effectiveness?Inf. Manag., 26
M. Weiner, T. Gress, D.R. Thiemann, M. Jenckes
Contrasting views of physicians and nurses about an inpatient computer‐based provider order‐entry system
J. Talmon, A. Hasman (2002)
Medical Informatics as a Discipline at the Beginning of the 21st CenturyMethods of Information in Medicine, 41
Kenneth Murphy, S. Simon (2002)
Intangible benefits valuation in ERP projectsInf. Syst. J., 12
E. Ammenwerth, S. Gräber, Gabriele Herrmann, T. Bürkle, J. König (2003)
Evaluation of health information systems - problems and challengesInternational journal of medical informatics, 71 2-3
Purpose – It is widely accepted that the use of information and communication technology (ICT) in the healthcare sector offers great potential for improving the quality of services provided, the efficiency and effectiveness of personnel, and also reducing organizational expenses. This paper seeks to examine various hospital information system (HIS) evaluation methods. Design/methodology/approach – In this paper a comprehensive search of the literature concerning the evaluation of complex health information systems is conducted and used to generate a synthesis of the literature around evaluation efforts in this field. Three approaches for evaluating hospital information systems are presented – user satisfaction, usage, and economic evaluation. Findings – The main results are that during the past decade, computers and information systems, as well as their resultant products, have pervaded hospitals worldwide. Unfortunately, methodologies to measure the various impacts of these systems have not evolved at the same pace. To summarize, measurement of users' satisfaction with information systems may be the most effective evaluation method in comparison with the rest of the methods presented. Practical implications – The methodologies, taxonomies and concepts presented in this paper could benefit researchers and practitioners in the evaluation of HISs. Originality/value – This review points out the need for more thorough evaluations of HISs that look at a wide range of factors that can affect the relative success or failure of these systems.
EuroMed Journal of Business – Emerald Publishing
Published: May 16, 2008
Keywords: Information systems; Hospitals; Customer satisfaction; Economic performance
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.