Computerised decision support systems in order communication for diagnostic, screening or monitoring test ordering: systematic reviews of the effects and cost-effectiveness of systems.

BACKGROUND Order communication systems (OCS) are computer applications used to enter diagnostic and therapeutic patient care orders and to view test results. Many potential benefits of OCS have been identified including improvements in clinician ordering patterns, optimisation of clinical time, and aiding communication processes between clinicians and different departments. Many OCS now include computerised decision support systems (CDSS), which are information systems designed to improve clinical decision-making. CDSS match individual patient characteristics to a computerised knowledge base, and software algorithms generate patient-specific recommendations. OBJECTIVES To investigate which CDSS in OCS are in use within the UK and the impact of CDSS in OCS for diagnostic, screening or monitoring test ordering compared to OCS without CDSS. To determine what features of CDSS are associated with clinician or patient acceptance of CDSS in OCS and what is known about the cost-effectiveness of CDSS in diagnostic, screening or monitoring test OCS compared to OCS without CDSS. DATA SOURCES A generic search to identify potentially relevant studies for inclusion was conducted using MEDLINE, EMBASE, Cochrane Controlled Trials Register (CCTR), CINAHL (Cumulative Index to Nursing and Allied Health Literature), DARE (Database of Abstracts of Reviews of Effects), Health Technology Assessment (HTA) database, IEEE (Institute of Electrical and Electronic Engineers) Xplore digital library, NHS Economic Evaluation Database (NHS EED) and EconLit, searched between 1974 and 2009 with a total of 22,109 titles and abstracts screened for inclusion. REVIEW METHODS CDSS for diagnostic, screening and monitoring test ordering OCS in use in the UK were identified through contact with the 24 manufacturers/suppliers currently contracted by the National Project for Information Technology (NpfIT) to provide either national or specialist decision support. A generic search to identify potentially relevant studies for inclusion in the review was conducted on a range of medical, social science and economic databases. The review was undertaken using standard systematic review methods, with studies being screened for inclusion, data extracted and quality assessed by two reviewers. Results were broadly grouped according to the type of CDSS intervention and study design where possible. These were then combined using a narrative synthesis with relevant quantitative results tabulated. RESULTS Results of the studies included in review were highly mixed and equivocal, often both within and between studies, but broadly showed a beneficial impact of the use of CDSS in conjunction with OCS over and above OCS alone. Overall, if the findings of both primary and secondary outcomes are taken into account, then CDSS significantly improved practitioner performance in 15 out of 24 studies (62.5%). Only two studies covered the cost-effectiveness of CDSS: a Dutch study reported a mean cost decrease of 3% for blood tests orders (639 euros) in each of the intervention clinics compared with a 2% (208 euros) increase in control clinics in test costs; and a Spanish study reported a significant increase in the cost of laboratory tests from 41.8 euros per patient per annum to 47.2 euros after implementation of the system. LIMITATIONS The response rate from the survey of manufacturers and suppliers was extremely low at only 17% and much of the feedback was classified as being commercial-in-confidence (CIC). No studies were identified which assessed the features of CDSS that are associated with clinician or patient acceptance of CDSS in OCS in the test ordering process and only limited data was available on the cost-effectiveness of CDSS plus OCS compared with OCS alone and the findings highly specific. Although CDSS appears to have a potentially small positive impact on diagnostic, screening or monitoring test ordering, the majority of studies come from a limited number of institutions in the USA. CONCLUSIONS If the findings of both primary and secondary outcomes are taken into account then CDSS showed a statistically significant benefit on either process or practitioner performance outcomes in nearly two-thirds of the studies. Furthermore, in four studies that assessed adverse effects of either test cancellation or delay, no significant detrimental effects in terms of additional utilisation of health-care resources or adverse events were observed. We believe the key current need is for a well designed and comprehensive survey, and on the basis of the results of this potentially for evaluation studies in the form of cluster randomised controlled trials or randomised controlled trials which incorporate process, and patient outcomes, as well as full economic evaluations alongside the trials to assess the impact of CDSS in conjunction with OCS versus OCS alone for diagnostic, screening or monitoring test ordering in the NHS. The economic evaluation should incorporate the full costs of potentially developing, testing, and installing the system, including staff training costs. STUDY REGISTRATION Study registration 61.

[1]  Alanna Kulchak Rahm,et al.  Randomized effectiveness trial of a computer-assisted intervention to improve diabetes care. , 2005, Diabetes care.

[2]  J. Vilaseca,et al.  Cost Effectiveness of a Clinical Decision Support System Based on the Recommendations of the European Society of Cardiology and Other Societies for the Management of Hypercholesterolemia , 2005 .

[3]  G. Eknoyan,et al.  Analgesics and the kidney: summary and recommendations to the Scientific Advisory Board of the National Kidney Foundation from an Ad Hoc Committee of the National Kidney Foundation. , 1996, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[4]  Theodore C Chan,et al.  The impact of a pneumatic tube and computerized physician order management on laboratory turnaround time. , 2008, Annals of emergency medicine.

[5]  D. Coplen Types of Unintended Consequences Related to Computerized Provider Order Entry , 2007 .

[6]  Notification of random hyperglycaemia to general practitioners by an emergency medicine team: impact of a simple intervention plan , 2008, Diabetic medicine : a journal of the British Diabetic Association.

[7]  S. Chu,et al.  Computerised clinical pathway management systems and the implications. , 2001, Collegian.

[8]  A. Berg,et al.  Practical approaches to providing better preventive care: are physicians a problem or a solution? , 1988, American journal of preventive medicine.

[9]  Effectiveness of automatic diagnostic test result feedback on outpatient laboratory and radiology testing in veterans. A controlled trial. , 1996, Medical care.

[10]  Ron A. G. Winkens,et al.  Design and Evaluation of a Computer Reminder System to Improve Prescribing Behaviour of GPs , 2006, MIE.

[11]  P. Glasziou,et al.  Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials , 2003, The Medical journal of Australia.

[12]  James H Thrall,et al.  Radiology order entry with decision support: initial clinical experience. , 2006, Journal of the American College of Radiology : JACR.

[13]  Marc Berg,et al.  A tale of two hospitals: a sociotechnical appraisal of the introduction of computerized physician order entry in two Dutch hospitals , 2004, MedInfo.

[14]  W. Tierney,et al.  A controlled trial of including symptom data in computer-based care suggestions for managing patients with chronic heart failure. , 2004, The American journal of medicine.

[15]  Paula Asikainen,et al.  Usefulness of a Regional Health Care Information System in primary care: A case study , 2008, Comput. Methods Programs Biomed..

[16]  Randolph A. Miller,et al.  Review: Medical Diagnostic Decision Support Systems - Past, Present, And Future: A Threaded Bibliography and Brief Commentary , 1994, J. Am. Medical Informatics Assoc..

[17]  J G Anderson,et al.  Computers in the consulting room: a case study of clinician and patient perspectives , 1998, Health care management science.

[18]  C J McDonald,et al.  Computer reminders to implement preventive care guidelines for hospitalized patients. , 1996, Archives of internal medicine.

[19]  Dean F. Sittig,et al.  A survey of factors affecting clinician acceptance of clinical decision support , 2006, BMC Medical Informatics Decis. Mak..

[20]  Factors affecting laboratory test use and prices , 1983, Health care financing review.

[21]  S. Mcphee,et al.  Promoting cancer screening. A randomized, controlled trial of three interventions. , 1989 .

[22]  D. Jeffe,et al.  Effects of implementing computerized practitioner order entry and nursing documentation on nursing workflow in an emergency department. , 2006, Journal of healthcare information management : JHIM.

[23]  Alan Morris Developing and Implementing Computerized Protocols for Standardization of Clinical Decisions , 2000, Annals of Internal Medicine.

[24]  T O Stair,et al.  Reduction of redundant laboratory orders by access to computerized patient records. , 1998, The Journal of emergency medicine.

[25]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[26]  C. McDonald,et al.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization. , 1993, JAMA.

[27]  Thierry Dart,et al.  Combining risks estimations and clinical practice guidelines in a computer decision aid: a pilot study of the EsPeR system , 2003, MIE.

[28]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[29]  K E Willard,et al.  The clinical workstation as a means of improving laboratory use. , 1996, Clinica chimica acta; international journal of clinical chemistry.

[30]  S. Schroeder,et al.  Changes in the use of medical technologies, 1972-1977: a study of 10 inpatient diagnoses. , 1982, New England Journal of Medicine.

[31]  P. Dodek,et al.  Computerized physician order entry of diagnostic tests in an intensive care unit is associated with improved timeliness of service , 2004, Critical care medicine.

[32]  Martin Frischer,et al.  Barriers to the adoption of computerised decision support systems in general practice consultations: a qualitative study of GPs' perspectives , 2004, Int. J. Medical Informatics.

[33]  Jonathan M. Teich,et al.  Research Paper: Implementation of Physician Order Entry: User Satisfaction and Self-Reported usage Patterns , 1996, J. Am. Medical Informatics Assoc..

[34]  Brian R. Jacobs,et al.  Impact of workflow-integrated corollary orders on aminoglycoside monitoring in children , 2006, Health Informatics J..

[35]  R. C. Turner,et al.  Can residents be trained to counsel patients about quitting smoking? , 2007, Journal of General Internal Medicine.

[36]  Pierre Durieux,et al.  Personalized versus non-personalized computerized decision support system to increase therapeutic quality control of oral anticoagulant therapy: an alternating time series analysis , 2004, BMC health services research.

[37]  J. Popay,et al.  Guidance on the conduct of narrative synthesis in sytematic reviews , 2006 .

[38]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[39]  C J McDonald,et al.  Delayed Feedback of Physician Performance Versus Immediate Reminders to Perform Preventive Care: Effects on Physician Compliance , 1986, Medical care.

[40]  S. Ornstein,et al.  Implementation and evaluation of a computer-based preventive services system. , 1995, Family medicine.

[41]  D. Spiegelhalter,et al.  Evaluating medical expert systems: what to test and how? , 1990, Medical informatics = Medecine et informatique.

[42]  R. Deyo,et al.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. , 1992, Journal of clinical epidemiology.

[43]  Gilad J. Kuperman,et al.  Synthesis of Research Paper: A Consensus Statement on Considerations for a Successful CPOE Implementation , 2003, J. Am. Medical Informatics Assoc..

[44]  R E Ferner,et al.  Improving prescribing using a rule based prescribing system , 2004, Quality and Safety in Health Care.

[45]  M H Trivedi,et al.  Development and Implementation of Computerized Clinical Guidelines: Barriers and Solutions , 2002, Methods of Information in Medicine.

[46]  Robert Grundmeier,et al.  Housestaff attitudes toward computer-based clinical decision support , 1999, AMIA.

[47]  A Winter,et al.  Decision support in medicine: a survey of problems of user acceptance. , 2000, Studies in health technology and informatics.

[48]  D. Lobach Electronically distributed, computer-generated, individualized feedback enhances the use of a computerized practice guideline. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[49]  G. Sulçebe,et al.  Diagnostic and prognostic significance of different antinuclear antibodies in more than 1000 consecutive Albanian patients with rheumatic diseases. , 1992, Clinical and experimental rheumatology.

[50]  M. Raebel,et al.  Evaluation of laboratory monitoring alerts within a computerized physician order entry system for medication orders. , 2006, The American journal of managed care.

[51]  Hyo Suk Nam,et al.  Improved Time Intervals by Implementation of Computerized Physician Order Entry-Based Stroke Team Approach , 2006, Cerebrovascular Diseases.

[52]  Stephan D. Fihn,et al.  A computerized intervention to improve timing of outpatient follow-up , 1994, Journal of General Internal Medicine.

[53]  Yang Lei,et al.  Implementation of hospital computerized physician order entry systems in a rural state: feasibility and financial impact. , 2004 .

[54]  M Peters,et al.  Effects of a computerised protocol management system on ordering of clinical tests. , 1994, Quality in health care : QHC.

[55]  C J McDonald,et al.  The effect on test ordering of informing physicians of the charges for outpatient diagnostic tests. , 1990, The New England journal of medicine.

[56]  C J McDonald,et al.  Physician response to computer reminders. , 1980, JAMA.

[57]  Klaus A. Kuhn,et al.  Improving pathway compliance and clinician performance by using information technology , 2007, Int. J. Medical Informatics.

[58]  S. Mcphee,et al.  Office‐based interventions to improve delivery of cancer prevention services by primary care physicians , 1993, Cancer.

[59]  Kevin B. Johnson,et al.  The Impact of Peer Management on Test-Ordering Behavior , 2004, Annals of Internal Medicine.

[60]  K E Willard,et al.  Closing the clinical laboratory testing loop with information technology. , 1996, American journal of clinical pathology.

[61]  T. Jørgensen,et al.  The use of computerized decision support systems in preventive cardiology--principal results from the national PRECARD survey in Denmark. , 2005, European journal of cardiovascular prevention and rehabilitation : official journal of the European Society of Cardiology, Working Groups on Epidemiology & Prevention and Cardiac Rehabilitation and Exercise Physiology.

[62]  M Peters,et al.  Computerised protocols for laboratory investigation and their effect on use of medical time and resources. , 1992, Journal of clinical pathology.

[63]  J. Holmen,et al.  Implementing clinical guidelines in the treatment of hypertension in general practice. Evaluation of patient outcome related to implementation of a computer-based clinical decision support system. , 1999, Scandinavian journal of primary health care.

[64]  D. Walker,et al.  An Independent Practice Association-Supported Disease Management Program , 2002 .

[65]  W J Hall,et al.  Computer-based vs manual health maintenance tracking. A controlled trial. , 1994, Archives of family medicine.

[66]  Monique W. M. Jaspers,et al.  Pre-Post Evaluation of Physicians' Satisfaction with a Redesigned Electronic Medical Record System , 2008, MIE.

[67]  E. Alberdi,et al.  Computerisation and Decision Making in Neonatal Intensive Care: A Cognitive Engineering Investigation , 2004, Journal of Clinical Monitoring and Computing.

[68]  David W. Bates,et al.  Case Report: The Use of Computers for Clinical Care: A Case Series of Advanced U.S. Sites , 2003, J. Am. Medical Informatics Assoc..

[69]  P. Gorman,et al.  Perceptions of physician order entry: results of a cross-site qualitative study. , 2003, Methods of information in medicine.

[70]  M. Landre,et al.  Assessment of radiological referral practice and effect of computer-based guidelines on radiological requests in two emergency departments. , 2002, Clinical radiology.

[71]  G J Kuperman,et al.  A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests. , 1999, The American journal of medicine.

[72]  P Ramnarayan,et al.  Paediatric clinical decision support systems , 2002, Archives of disease in childhood.

[73]  W. C. Kinney,et al.  Web-Based Clinical Decision Support System for Triage of Vestibular Patients , 2003, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[74]  J S Briggs,et al.  The ISABEL user survey , 2005, Medical informatics and the Internet in medicine.

[75]  T. Bodenheimer,et al.  Electronic technology: a spark to revitalize primary care? , 2003, JAMA.

[76]  S. Fletcher,et al.  Prompting physicians for preventive procedures: a five-year study of manual and computer reminders. , 1990, American journal of preventive medicine.

[77]  J Studnicki,et al.  A feedback system for reducing excessive laboratory tests. , 1993, Archives of pathology & laboratory medicine.

[78]  Randolph A. Miller,et al.  The effects on clinician ordering patterns of a computerized decision support system for neuroradiology imaging studies , 2001, AMIA.

[79]  J. Stelling,et al.  The lack of value of repeated Clostridium difficile cytotoxicity assays. , 1996, Archives of pathology & laboratory medicine.

[80]  C J McDonald,et al.  Computer predictions of abnormal test results. Effects on outpatient testing. , 1988, JAMA.

[81]  J. Fox,et al.  Evidence-based guidelines and decision support services: a discussion and evaluation in triple assessment of suspected breast cancer , 2006, British Journal of Cancer.

[82]  Johan van der Lei,et al.  Cost consequences of implementing an electronic decision support system for ordering laboratory tests in primary care: evidence from a controlled prospective study in the Netherlands. , 2007, Clinical chemistry.

[83]  David W. Bates,et al.  Primary Care Clinician Attitudes Towards Ambulatory Computerized Physician Order Entry , 2005, AMIA.

[84]  J. Sterne,et al.  A review identifies and classifies reasons for ordering diagnostic tests. , 2007, Journal of clinical epidemiology.

[85]  Thomas Wetter,et al.  Lessons learnt from bringing knowledge-based decision support into routine use , 2002, Artif. Intell. Medicine.

[86]  A Hasman,et al.  OpenLabs services for ordering laboratory investigations. , 1996, Computer methods and programs in biomedicine.

[87]  William M. Tierney,et al.  Improving clinical decisions and outcomes with information: a review , 2001, Int. J. Medical Informatics.

[88]  D. Grady,et al.  Does a fixed physician reminder system improve the care of patients with coronary artery disease? A randomized controlled trial. , 2001, The Western journal of medicine.

[89]  J. Twisk,et al.  Design and analysis of a randomized controlled trial testing the effects of clinical decision support on the management of rheumatoid arthritis. , 2004, Arthritis and rheumatism.

[90]  Richard N. Shiffman,et al.  Model Formulation: A Design Model for Computer-based Guideline Implementation Based on Information Management Services , 1999, J. Am. Medical Informatics Assoc..

[91]  H. Holman,et al.  Mixed Connective Tissue Disease: A Subsequent Evaluation of the Original 25 Patients , 1980, Medicine.

[92]  H. Covvey,et al.  Randomised controlled trial of computer assisted management of hypertension in primary care. , 1986, British medical journal.

[93]  P. J. Howanitz,et al.  Ordering accuracy. A College of American Pathologists Q-Probes study of 577 institutions. , 1995, Archives of pathology & laboratory medicine.

[94]  R. Haynes,et al.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. , 1998, JAMA.

[95]  David Parkin,et al.  Effect of computerised evidence based guidelines on management of asthma and angina in adults in primary care: cluster randomised controlled trial , 2002, BMJ : British Medical Journal.

[96]  J. Marc Overhage,et al.  Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission , 1997, J. Am. Medical Informatics Assoc..

[97]  Joachim Meyer,et al.  General Practitioners' Adherence with Clinical Reminders for Secondary Prevention of Dyslipidemia , 2007, AMIA.

[98]  P G Barnett,et al.  Use of the Decision Support System for VA cost-effectiveness research. , 1999, Medical care.

[99]  A. Zaslavsky,et al.  Physician Reminders to Promote Surveillance Colonoscopy for Colorectal Adenomas , 2008, Journal of General Internal Medicine.

[100]  P. Gabow,et al.  The Effect of Automated Alerts on Provider Ordering Behavior in an Outpatient Setting , 2005, PLoS medicine.

[101]  D. Bates,et al.  Improving response to critical laboratory results with automation: results of a randomized controlled trial. , 1999, Journal of the American Medical Informatics Association : JAMIA.

[102]  D J Balaban,et al.  The Effect Of Microcomputer-Generated Reminders On Influenza Vaccination Rates In A University-Based Family Practice Center , 1991, The Journal of the American Board of Family Medicine.

[103]  J H van Bemmel,et al.  Assessment of Decision Support for Blood Test Ordering in Primary Care , 2001, Annals of Internal Medicine.

[104]  W M Tierney,et al.  Effectiveness of Computer-Generated Reminders for Increasing Discussions about Advance Directives and Completion of Advance Directive Forms , 1998, Annals of Internal Medicine.

[105]  Carl May,et al.  Doctor-patient interaction in a randomised controlled trial of decision-support tools. , 2006, Social science & medicine.

[106]  F. Wolfe,et al.  The latex test revisited. Rheumatoid factor testing in 8,287 rheumatic disease patients. , 1991, Arthritis and rheumatism.

[107]  Margaret Williamson,et al.  The impact of computerised physician order entry systems on pathology services: A systematic review , 2007, Int. J. Medical Informatics.

[108]  G. Barnett,et al.  A Computer-Based Monitoring System for Follow-Up of Elevated Blood Pressure , 1983, Medical care.

[109]  M Peters,et al.  A rule-based decision support application for laboratory investigations management. , 1995, Proceedings. Symposium on Computer Applications in Medical Care.

[110]  Harlan M Krumholz,et al.  A randomized outpatient trial of a decision-support information technology tool. , 2005, Archives of internal medicine.

[111]  Carlos Crespo,et al.  Impact of a Clinical Decision Support System on the Management of Patients with Hypercholesterolemia in the Primary Healthcare Setting , 2005 .

[112]  J. Perkins,et al.  Bring "order" to diabetes management. , 2008, Nursing management.

[113]  Peter J. Haug,et al.  Methods Paper: Evaluation of a Computerized Diagnostic Decision Support System for Patients with Pneumonia: Study Design Considerations , 2001, J. Am. Medical Informatics Assoc..

[114]  H. Lehmann,et al.  Clinical Decision Support Systems (cdsss) Have Been Hailed for Their Potential to Reduce Medical Errors Clinical Decision Support Systems for the Practice of Evidence-based Medicine , 2022 .

[115]  L. Cordero,et al.  Impact of Computerized Physician Order Entry on Clinical Practice in a Newborn Intensive Care Unit , 2004, Journal of Perinatology.

[116]  Emily Patterson,et al.  An Evaluation of the Veterans Health Administration’s Clinical Reminders System: A National Survey of Generalists , 2007, Journal of General Internal Medicine.

[117]  Eric G. Poon,et al.  Research Paper: The Extent and Importance of Unintended Consequences Related to Computerized Provider Order Entry , 2007, J. Am. Medical Informatics Assoc..

[118]  W G Henderson,et al.  Improving residents' compliance with standards of ambulatory care: results from the VA Cooperative Study on Computerized Reminders. , 2000, JAMA.

[119]  F D Hobbs,et al.  A prospective controlled trial of computerized decision support for lipid management in primary care. , 1996, Family practice.

[120]  H. D. de Vet,et al.  Criteria list for assessment of methodological quality of economic evaluations: Consensus on Health Economic Criteria , 2005, International Journal of Technology Assessment in Health Care.

[121]  J. P. Kichak,et al.  Computerized physician order entry: helpful or harmful? , 2003, Journal of the American Medical Informatics Association : JAMIA.

[122]  M. Roizen,et al.  Usefulness of routine preoperative testing: a prospective single-observer study. , 2005, Journal of clinical anesthesia.

[123]  D M Becker,et al.  Improving preventive care at a medical clinic: how can the patient help? , 1989, American journal of preventive medicine.

[124]  Joan S. Ash,et al.  Implementing computerized physician order entry: the importance of special people , 2003, Int. J. Medical Informatics.

[125]  Douglas A. Talbert,et al.  Clinicians' perceptions of clinical decision support integrated into computerized provider order entry , 2004, Int. J. Medical Informatics.

[126]  J. Holmen,et al.  Implementing clinical guidelines in the treatment of hypertension in general practice. , 1998, Blood pressure.

[127]  C. Chambers,et al.  Microcomputer-generated reminders. Improving the compliance of primary care physicians with mammography screening guidelines. , 1989, The Journal of family practice.

[128]  J. Wyatt Decision support systems. , 2000, Journal of the Royal Society of Medicine.

[129]  H A Heathfield,et al.  Philosophies for the Design and Development of Clinical Decision-Support Systems , 1993, Methods of Information in Medicine.

[130]  Daniel W. Jones,et al.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, JAMA.

[131]  W. Hammond,et al.  Computerized decision support based on a clinical practice guideline improves compliance with care standards. , 1997, The American journal of medicine.

[132]  S. Emerson,et al.  The impact of requisition design on laboratory utilization. , 2001, American journal of clinical pathology.

[133]  F. T. de Dombal,et al.  Human and Computer-aided Diagnosis of Abdominal Pain: Further Report with Emphasis on Performance of Clinicians , 1974, British medical journal.

[134]  Arie Hasman,et al.  Evaluation of an automated test ordering and feedback system for general practitioners in daily practice , 2004, Int. J. Medical Informatics.

[135]  Julie M. Fiskio,et al.  Automated evidence-based critiquing of orders for abdominal radiographs: impact on utilization and appropriateness. , 1997, Journal of the American Medical Informatics Association : JAMIA.

[136]  Suzanne Bakken,et al.  Impact of a physician's order entry (POE) system on physicians' ordering patterns and patient length of stay , 2002, Int. J. Medical Informatics.

[137]  A. Prochazka,et al.  Reduction of polypharmacy by feedback to clinicians , 1991, Journal of General Internal Medicine.

[138]  L. Hayden,et al.  Ten Commandments for Effective Clinical Decision Support: Making the Practice of Evidence-based Medicine a Reality , 2011 .

[139]  W. Hersh Medical informatics: improving health care through information. , 2002, JAMA.

[140]  Dean F. Sittig,et al.  Clinician's assessments of outpatient electronic medical record alert and reminder usability and usefulness requirements , 2002, AMIA.

[141]  MPH Ralph A. Rossi MD,et al.  A computerized intervention to decrease the use of calcium channel blockers in hypertension , 2007, Journal of General Internal Medicine.

[142]  M. Abrahamowicz,et al.  Can computerized risk profiles help patients improve their coronary risk? The results of the Coronary Health Assessment Study (CHAS). , 1998, Preventive medicine.

[143]  S Kamen,et al.  The task force. , 1976, Journal of hospital dental practice.

[144]  H. Murff,et al.  Physician satisfaction with two order entry systems. , 2001, Journal of the American Medical Informatics Association : JAMIA.

[145]  T. Payne Computer decision support systems. , 2000, Chest.

[146]  K E Willard,et al.  A clinician's workstation for improving laboratory use. Integrated display of laboratory results. , 1995, American journal of clinical pathology.

[147]  P. White,et al.  Using information from asthma patients: a trial of information feedback in primary care , 1995, BMJ.

[148]  K Irjala,et al.  Reminders of drug effects on laboratory test results. , 2000, Clinical chemistry.

[149]  William M. Tierney,et al.  Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols , 1993, Journal of General Internal Medicine.

[150]  D W Bates,et al.  A computer based intervention to reduce unnecessary serologic testing. , 1999, The Journal of rheumatology.

[151]  C. Ohmann,et al.  A systematic approach to the assessment of user satisfaction with health care systems: constructs, models and instruments. , 1997, Studies in health technology and informatics.

[152]  Jacobus Ridderikhoff,et al.  Who is afraid of the system? Doctors' attitude towards diagnostic systems , 1999, Int. J. Medical Informatics.

[153]  Jeffrey Braithwaite,et al.  Cultures in hospitals and their influence on attitudes to, and satisfaction with, the use of clinical information systems. , 2007, Social science & medicine.

[154]  Phillip V. Asaro,et al.  Physician Perspective on Computerized Order-sets with Embedded Guideline Information in a Commercial Emergency Department Information System , 2005, AMIA.

[155]  D. J. Spiegelhalter,et al.  Statistical and Knowledge‐Based Approaches to Clinical Decision‐Support Systems, with an Application in Gastroenterology , 1984 .

[156]  R. Haynes,et al.  Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research , 1994, Annals of Internal Medicine.

[157]  D. Becker,et al.  Strategies for increasing house staff management of cholesterol with inpatients. , 1990, American journal of preventive medicine.

[158]  G. Kuperman,et al.  Computer Physician Order Entry: Benefits, Costs, and Issues , 2003, Annals of Internal Medicine.

[159]  Thomas D. Bentley,et al.  Specificity of computerized physician order entry has a significant effect on the efficiency of workflow for critically ill patients , 2005, Critical care medicine.

[160]  Arie Hasman,et al.  User satisfaction with a real-time automated feedback system for general practitioners: a quantitative and qualitative study. , 2003, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[161]  J E Rodnick,et al.  Promoting cancer prevention activities by primary care physicians. Results of a randomized, controlled trial. , 1991, JAMA.

[162]  G. Hollingworth,et al.  Prompting physicians for cost-effective test ordering in the low prevalence conditions of family medicine. , 1994, Proceedings. Symposium on Computer Applications in Medical Care.

[163]  Samy I McFarlane,et al.  Evaluating the appropriateness of thromboprophylaxis in an acute care setting using a computerised reminder, through order‐entry system , 2007, International journal of clinical practice.

[164]  H. Ruchlin,et al.  Physician practice profiles: A case study of the use of audit and feedback in an ambulatory care group practice , 1987, Health care management review.

[165]  A. Hasman,et al.  To test or not to test, that is the question. , 1993, Clinica chimica acta; international journal of clinical chemistry.

[166]  M. Laposata,et al.  Evaluation of effectiveness of a computerized notification system for reporting critical values. , 2009, American journal of clinical pathology.

[167]  Julie M. Fiskio,et al.  A randomized trial of electronic clinical reminders to improve medication laboratory monitoring. , 2008, Journal of the American Medical Informatics Association : JAMIA.

[168]  Dean F. Sittig,et al.  Subjective assessment of usefulness and appropriate presentation mode of alerts and reminders in the outpatient setting , 2001, AMIA.

[169]  R. Garcı́a-Closas,et al.  Which statin is most efficient for the treatment of hypercholesterolemia? A cost-effectiveness analysis. , 1999, Clinical therapeutics.

[170]  M J Lincoln,et al.  A computer-generated reminder system improves physician compliance with diabetes preventive care guidelines. , 1995, Proceedings. Symposium on Computer Applications in Medical Care.

[171]  F D Hobbs,et al.  Oral anticoagulation management in primary care with the use of computerized decision support and near-patient testing: a randomized, controlled trial. , 2000, Archives of internal medicine.

[172]  W Berger,et al.  Clinical application of two computerized diabetes management systems: comparison with the log-book method. , 1992, Diabetes research.

[173]  Michael D Ahearn,et al.  General practitioners' perceptions of the pharmaceutical decision‐support tools in their prescribing software , 2003, The Medical journal of Australia.

[174]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[175]  D. Bates,et al.  Does the computerized display of charges affect inpatient ancillary test utilization? , 1997, Archives of internal medicine.

[176]  D G Altman,et al.  Systematic reviews of clinical decision tools for acute abdominal pain. , 2006, Health technology assessment.

[177]  Patrick J O'Connor,et al.  Impact of an Electronic Medical Record on Diabetes Quality of Care , 2005, The Annals of Family Medicine.

[178]  J. Christensen-Szalanski,et al.  Phased trial of a proven algorithm at a new primary care clinic. , 1982, American journal of public health.

[179]  I. Modai,et al.  A computerized laboratory alerting system in a psychogeriatric unit. , 1998, M.D. computing : computers in medical practice.

[180]  R D Powers,et al.  Effect of "standard order" deletion on emergency department coagulation profile use. , 1992, Annals of emergency medicine.

[181]  Douglas A. Talbert,et al.  A computer based intervention on the appropriate use of arterial blood gas , 2001, AMIA.

[182]  E A Balas,et al.  Improving preventive care by prompting physicians. , 2000, Archives of internal medicine.