1. Field MJE, Lohr KNE. Clinical practice guidelines : directions for a new program. Washington, D.C.: National Academy Press; 1990.
2. Lau R, Stevenson F, Ong BN, Dziedzic K, Treweek S, Eldridge S et al. Achieving change in primary care--causes of the evidence to practice gap: systematic reviews of reviews. Implement Sci. 2016;11:40.
3. Scott IA, Glasziou PP. Improving effectiveness of clinical medicine: the need for better translation of science into practice. Med J Aust. 2012;197(7):374-8.
4. Fretheim A, Flottorp S, Oxman A. Effect of Interventions for Implementing Clinical Practice Guidelines. NIPH Systematic Reviews: Executive Summaries. Oslo, Norway2015.
5. Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013;346:f657.
6. Moja L, Kwag KH, Lytras T, Bertizzolo L, Brandt L, Pecoraro V et al. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014;104(12):e12-22.
7. Watson R. European Union leads way on e-health, but obstacles remain. BMJ. 2010;341:c5195.
8. Myers RB, Jones SL, Sittig DF. Review of Reported Clinical Information System Adverse Events in US Food and Drug Administration Databases. Appl Clin Inform. 2011;2(1):63-74.
9. Coiera E, Westbrook J, Wyatt J. The safety and quality of decision support systems. Yearb Med Inform. 2006:20-5.
10. Lobach DF. The road to effective clinical decision support: are we there yet? BMJ. 2013;346:f1616.
11. Coiera E, Aarts J, Kulikowski C. The dangerous decade. J Am Med Inform Assoc. 2012;19(1):2-5.
12. Gawande A. The checklist manifesto : how to get things right. 1st ed. New York: Metropolitan Books; 2010.
13. Bodenheimer T, Sinsky C. From triple to quadruple aim: care of the patient requires care of the provider. Ann Fam Med. 2014;12(6):573-6.
14. Prior M, Guerin M, Grimmer-Somers K. The effectiveness of clinical guideline implementation strategies--a synthesis of systematic review findings. J Eval Clin Pract. 2008;14(5):888-97.
15. Flottorp SA, Oxman AD, Krause J, Musila NR, Wensing M, Godycki-Cwirko M et al. A checklist for identifying determinants of practice: a systematic review and synthesis of frameworks and taxonomies of factors that prevent or enable improvements in healthcare professional practice. Implement Sci. 2013;8:35.
16. Andrews J, Guyatt G, Oxman AD, Alderson P, Dahm P, Falck-Ytter Y et al. GRADE guidelines: 14. Going from evidence to recommendations: the significance and presentation of recommendations. J Clin Epidemiol. 2013;66(7):719-25.
17. Atkins D, Best D, Briss PA, Eccles M, Falck-Ytter Y, Flottorp S et al. Grading quality of evidence and strength of recommendations. BMJ. 2004;328(7454):1490.
18. Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.
19. Pantoja T, Green ME, Grimshaw J, Denig P, Durieux P, Gill P et al. Manual paper reminders: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews. 2014(9):CD001174.
20. Brouwers MC, Kho ME, Browman GP, Burgers JS, Cluzeau F, Feder G et al. AGREE II: advancing guideline development, reporting, and evaluation in health care. Prev Med. 2010;51(5):421-4.
21. Shiffman RN, Dixon J, Brandt C, Essaihi A, Hsiao A, Michel G et al. The GuideLine Implementability Appraisal (GLIA): development of an instrument to identify obstacles to guideline implementation. BMC Med Inform Decis Mak. 2005;5:23.
22. Osheroff JA, Teich JM, Levick D, Saldana L, Velasco TF, Sittig DF et al. Improving outcomes with clinical decision support : an implementer's guide. 2nd ed. Chicago, IL: HIMSS; 2012.
23. Fixsen DL, Blase KA, Duda MA, Naoom SF, Van Dyke M. Implementation of evidence-based treatments for children and adolescents: Research findings and their implications for the future. In: Kazdin JRWAE, editor. Evidence-based psychotherapies for children and adolescents, 2nd ed. New York, NY, US: Guilford Press; 2010. p. 435-50.
24. Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401-6.
25. Van de Velde S, Roshanov P, Heselmans A, Delvaux N, Brandt L, Cloetens H et al. A systematic review of trials evaluating success features of computerised clinical decision support systems. PROSPERO International prospective register of systematic reviews. 2016.
26. Toolkit GIN PUBLIC. Patient and public involvement in guidelines. Guidelines International Network. 2012.
27. Van de Velde S, Roshanov P, Kortteisto T, Kunnamo I, Aertgeerts B, Vandvik PO et al. Tailoring implementation strategies for evidence-based recommendations using computerised clinical decision support systems: protocol for the development of the GUIDES tools. Implement Sci. 2016;11(1):29.
28. Ash JS, Sittig DF, Guappone KP, Dykstra RH, Richardson J, Wright A et al. Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study. BMC medical informatics and decision making. 2012;12:6.
29. Berlin A, Sorani M, Sim I. A taxonomic description of computer-based clinical decision support systems. Journal of Biomedical Informatics. 2006;39(6):656-67.
30. Handler JA, Feied CF, Coonan K, Vozenilek J, Gillam M, Peacock PR, Jr. et al. Computerized physician order entry and online decision support. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine. 2004;11(11):1135-41.
31. Horsky J, Schiff GD, Johnston D, Mercincavage L, Bell D, Middleton B. Interface design principles for usable decision support: a targeted review of best practices for clinical prescribing interventions. Journal of Biomedical Informatics. 2012;45(6):1202-16.
32. Sirajuddin AM, Osheroff JA, Sittig DF, Chuo J, Velasco F, Collins DA. Implementation pearls from a new guidebook on improving medication use and outcomes with clinical decision support. Effective CDS is essential for addressing healthcare performance improvement imperatives. Journal of healthcare information management : JHIM. 2009;23(4):38-45.
33. Sweidan M, Williamson M, Reeve JF, Harvey K, O'Neill JA, Schattner P et al. Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process. BMC medical informatics and decision making. 2010;10(1):21.
34. Teich JM, Osheroff JA, Pifer EA, Sittig DF, Jenders RA, Panel CDSER. Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup. Journal of the American Medical Informatics Association : JAMIA. 2005;12(4):365-76.
35. Wright A, Ash JS, Erickson JL, Wasserman J, Bunce A, Stanescu A et al. A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success. Journal of the American Medical Informatics Association. 2014;21(3):464-72.
36. Kilsdonk E, Peute LW, Jaspers MW. Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis. Int J Med Inform. 2017;98:56-64.
37. Sittig DF, Singh H. A new sociotechnical model for studying health information technology in complex adaptive healthcare systems. Qual Saf Health Care. 2010;19 Suppl 3:i68-74.
38. Arditi C, Rege-Walther M, Wyatt JC, Durieux P, Burnand B. Computer-generated reminders delivered on paper to healthcare professionals; effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2012;12:CD001175.
39. Damiani G, Pinnarelli L, Colosimo SC, Almiento R, Sicuro L, Galasso R et al. The effectiveness of computerized clinical guidelines in the process of care: a systematic review. BMC health services research. 2010;10(1):2.
40. Fillmore CL, Bray BE, Kawamoto K. Systematic review of clinical decision support interventions with potential for inpatient cost reduction. BMC medical informatics and decision making. 2013;13(1):135.
41. Gillaizeau F, Chan E, Trinquart L, Colombet I, Walton RT, Rege-Walther M et al. Computerized advice on drug dosage to improve prescribing practice. Cochrane Database Syst Rev. 2013;11:CD002894.
42. Goldzweig CL, Orshansky G, Paige NM, Miake-Lye IM, Beroes JM, Ewing BA et al. Electronic Health Record-Based Interventions for Improving Appropriate Diagnostic Imaging: A Systematic Review and Meta-analysis. Annals of internal medicine. 2015;162(8):557-65.
43. Holt TA, Thorogood M, Griffiths F. Changing clinical practice through patient specific reminders available at the time of the clinical encounter: systematic review and meta-analysis. Journal of General Internal Medicine. 2012;27(8):974-84.
44. Mollon B, Chong JJR, Holbrook AM, Sung M, Thabane L, Foster G. Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials. BMC medical informatics and decision making. 2009;9(1):11.
45. Nuckols TK, Smith-Spangler C, Morton SC, Asch SM, Patel VM, Anderson LJ et al. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis. Systematic reviews. 2014;3(1):56.
46. Pearson S-A, Moxey A, Robertson J, Hains I, Williamson M, Reeve J et al. Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007). BMC health services research. 2009;9:154.
47. Roshanov PS, Fernandes N, Wilczynski JM, Hemens BJ, You JJ, Handler SM et al. Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials. BMJ. 2013;346(f657).
48. Schedlbauer A, Prasad V, Mulvaney C, Phansalkar S, Stanton W, Bates DW et al. What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior? Journal of the American Medical Informatics Association : JAMIA. 2009;16(4):531-8.
49. Shojania KG, Jennings A, Mayhew A, Ramsay C, Eccles M, Grimshaw J. Effect of point-of-care computer reminders on physician behaviour: a systematic review. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne. 2010;182(5):E216-25.
50. Goud R, van Engen-Verheul M, de Keizer NF, Bal R, Hasman A, Hellemans IM et al. The effect of computerized decision support on barriers to guideline implementation: A qualitative study in outpatient cardiac rehabilitation. International Journal of Medical Informatics. 2010;79(6):430-7.
51. Moxey A, Robertson J, Newby D, Hains I, Williamson M, Pearson S-A. Computerized clinical decision support for prescribing: provision does not guarantee uptake. Journal of the American Medical Informatics Association : JAMIA. 2010;17(1):25-33.
52. Sequist TD, Gandhi TK, Karson AS, Fiskio JM, Bugbee D, Sperling M et al. A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease. Journal of the American Medical Informatics Association : JAMIA. 2005;12(4):431-7.
53. McCormack JL, Ash JS. Clinician perspectives on the quality of patient data used for clinical decision support: a qualitative study. AMIA Annual Symposium proceedings / AMIA Symposium AMIA Symposium. 2012;2012:1302-9.
54. Sittig DF, Wright A, Osheroff JA, Middleton B, Teich JM, Ash JS et al. Grand challenges in clinical decision support. J Biomed Inform. 2008;41(2):387-92.
55. van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2006;13(2):138-47.
56. Ahmadian L, van Engen-Verheul M, Bakhshi-Raiez F, Peek N, Cornet R, de Keizer NF. The role of standardized data and terminological systems in computerized clinical decision support systems: literature review and survey. International Journal of Medical Informatics. 2011;80(2):81-93.
57. Martens JD, van der Aa A, Panis B, van der Weijden T, Winkens RA, Severens JL. Design and evaluation of a computer reminder system to improve prescribing behaviour of GPs. Studies in health technology and informatics. 2006;124:617-23.
58. Miller A, Moon B, Anders S, Walden R, Brown S, Montella D. Integrating computerized clinical decision support systems into clinical work: A meta-synthesis of qualitative research. Int J Med Inform. 2015;84(12):1009-18.
59. Bindels R, Hasman A, Derickx M, van Wersch JWJ, Winkens RAG. User satisfaction with a real-time automated feedback system for general practitioners: a quantitative and qualitative study. International Journal for Quality in Health Care. 2003;15(6):501-8.
60. Bindels R, Hasman A, van Wersch JW, Talmon J, Winkens RA. Evaluation of an automated test ordering and feedback system for general practitioners in daily practice. Int J Med Inform. 2004;73(9-10):705-12.
61. Hobbs FD, Delaney BC, Carson A, Kenkre JE. A prospective controlled trial of computerized decision support for lipid management in primary care. Family Practice. 1996;13(2):133-7.
62. Coleman J, Slee A. Guidelines for Hazard Review of ePrescribing Decision Support. 2009.
63. Kilsdonk E, Peute LWP, Knijnenburg SL, Jaspers MWM. Factors known to influence acceptance of clinical decision support systems. Studies in health technology and informatics. 2011;169:150-4.
64. Main C, Moxham T, Wyatt JC, Kay J, Anderson R, Stein K. Computerised decision support systems in order communication for diagnostic, screening or monitoring test ordering: systematic reviews of the effects and cost-effectiveness of systems. Health technology assessment (Winchester, England). 2010;14(48):1-227.
65. Ackerman SL, Gonzales R, Stahl MS, Metlay JP. One size does not fit all: evaluating an intervention to reduce antibiotic prescribing for acute bronchitis. BMC health services research. 2013;13(1):462.
66. Lugtenberg M, Weenink JW, van der Weijden T, Westert GP, Kool RB. Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers. BMC Med Inform Decis Mak. 2015;15:82.
67. McDermott L, Yardley L, Little P, van Staa T, Dregan A, McCann G et al. Process evaluation of a point-of-care cluster randomised trial using a computer-delivered intervention to reduce antibiotic prescribing in primary care. BMC Health Serv Res. 2014;14:594.
68. Apkon M, Mattera JA, Lin Z, Herrin J, Bradley EH, Carbone M et al. A randomized outpatient trial of a decision-support information technology tool. Archives of Internal Medicine. 2005;165(20):2388-94.
69. Barnard KD, Cradock S, Parkin T, Skinner TC. Effectiveness of a computerised assessment tool to prompt individuals with diabetes to be more active in consultations. Practical Diabetes International. 2007;24(1):36-41.
70. Bloomfield HE, Nelson DB, van Ryn M, Neil BJ, Koets NJ, Basile JN et al. A trial of education, prompts, and opinion leaders to improve prescription of lipid modifying therapy by primary care physicians for patients with ischemic heart disease. Quality & safety in health care. 2005;14(4):258-63.
71. Flottorp S, Havelsrud K, Oxman AD. Process evaluation of a cluster randomized trial of tailored interventions to implement guidelines in primary care--why is it so hard to change practice? Family Practice. 2003;20(3):333-9.
72. Fretheim A, Havelsrud K, Oxman A. Rational Prescribing in Primary care (RaPP): process evaluation of an intervention to improve prescribing of antihypertensive and cholesterol-lowering drugs. Implementation Science. 2006;1(1):19.
73. Hetlevik I, Holmen J, Krüger O, Kristensen P, Iversen H. Implementing clinical guidelines in the treatment of hypertension in general practice. Blood pressure. 1998;7(5-6):270-6.
74. Lugtenberg M, Pasveer D, van der Weijden T, Westert GP, Kool RB. Exposure to and experiences with a computerized decision support intervention in primary care: results from a process evaluation. BMC Fam Pract. 2015;16(1):141.
75. Roumie CL, Elasy TA, Wallston KA, Pratt S, Greevy RA, Liu X et al. Clinical inertia: a common barrier to changing provider prescribing behavior. Joint Commission journal on quality and patient safety / Joint Commission Resources. 2007;33(5):277-85.
76. Tierney WM, Miller ME, Overhage JM, McDonald CJ. Physician inpatient order writing on microcomputer workstations. Effects on resource utilization. JAMA : the journal of the American Medical Association. 1993;269(3):379-83.
77. Wright A, Sittig DF, Ash JS, Bates DW, Feblowitz J, Fraser G et al. Governance for clinical decision support: case studies and recommended practices from leading institutions. J Am Med Inform Assoc. 2011;18(2):187-94.
78. McCowan C, Neville RG, Ricketts IW, Warner FC, Hoskins G, Thomas GE. Lessons from a randomized controlled trial designed to evaluate computer decision support software to improve the management of asthma. Medical Informatics and the Internet in Medicine. 2001;26(3):191-201.
79. Qaseem A, Forland F, Macbeth F, Ollenschlager G, Phillips S, van der Wees P et al. Guidelines International Network: toward international standards for clinical practice guidelines. Ann Intern Med. 2012;156(7):525-31.
80. Elwyn G, O'Connor A, Stacey D, Volk R, Edwards A, Coulter A et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.
81. Goddard K, Roudsari A, Wyatt JC. Automation bias: a systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association. 2012;19(1):121-7.
82. Lobach D, Sanders GD, Bright TJ, Wong A, Dhurjati R, Bristow E et al. Enabling health care decisionmaking through clinical decision support and knowledge management. Evidence report/technology assessment. 2012(203):1-784.
83. Bates DW, Kuperman GJ, Wang S, Gandhi T, Kittler A, Volk L et al. Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003;10(6):523-30.
84. Payne TH, Hines LE, Chan RC, Hartman S, Kapusnik-Uner J, Russ AL et al. Recommendations to improve the usability of drug-drug interaction clinical decision support alerts. J Am Med Inform Assoc. 2015;22(6):1243-50.
85. Pelayo S, Marcilly R, Bernonville S, Leroy N, Beuscart-Zephir M-C. Human factors based recommendations for the design of medication related clinical decision support systems (CDSS). Studies in health technology and informatics. 2011;169:412-6.
86. Keeffe B, Subramanian U, Tierney WM, Udris E, Willems J, McDonell M et al. Provider response to computer-based care suggestions for chronic heart failure. Medical Care. 2005;43(5):461-5.
87. Jenders RA. Standards in health information technology: promise and challenges. AMIA Annual Symposium proceedings / AMIA Symposium AMIA Symposium. 2007:1179-80.
88. DIS-ISO. 9241-210: 2010. Ergonomics of human system interaction-Part 210: Human-centred design for interactive systems. International Standardization Organization (ISO) Switzerland. 2009.
89. ISO. IEC25010: 2011 Systems and software engineering–Systems and software Quality Requirements and Evaluation (SQuaRE)–System and software quality models. International Organization for Standardization. 2011;34:2910.
90. Cowan JA, Heckerling PS, Parker JB. Effect of a fact sheet reminder on performance of the periodic health examination: a randomized controlled trial. American journal of preventive medicine. 1992;8(2):104-9.
91. Rotman BL, Sullivan AN, McDonald TW, Brown BW, DeSmedt P, Goodnature D et al. A randomized controlled trial of a computer-based physician workstation in an outpatient setting: implementation barriers to outcome evaluation. J Am Med Inform Assoc. 1996;3(5):340-8.
92. Brandt L, Vandvik PO, Alonso-Coello P, Akl EA, Thornton J, Rigau D et al. Multilayered and digitally structured presentation formats of trustworthy recommendations: a combined survey and randomised trial. BMJ Open. 2017;7(2):e011569.
93. Semler MW, Weavind L, Hooper MH, Rice TW, Gowda SS, Nadas A et al. An Electronic Tool for the Evaluation and Treatment of Sepsis in the ICU: A Randomized Controlled Trial. Critical Care Medicine. 2015;43(8):1595-602.
94. Bates DW, Evans RS, Murff H, Stetson PD, Pizziferri L, Hripcsak G. Detecting adverse events using information technology. Journal of the American Medical Informatics Association : JAMIA. 2003;10(2):115-28.
95. Vervloet M, Linn AJ, van Weert JCM, de Bakker DH, Bouvy ML, van Dijk L. The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature. Journal of the American Medical Informatics Association : JAMIA. 2012;19(5):696-704.
96. El-Kareh RE, Gandhi TK, Poon EG, Newmark LP, Ungar J, Orav EJ et al. Actionable reminders did not improve performance over passive reminders for overdue tests in the primary care setting. J Am Med Inform Assoc. 2011;18(2):160-3.
97. Wright A, Hickman TT, McEvoy D, Aaron S, Ai A, Andersen JM et al. Analysis of clinical decision support system malfunctions: a case series and survey. J Am Med Inform Assoc. 2016;23(6):1068-76.
98. Kukhareva PV, Kawamoto K, Shields DE, Barfuss DT, Halley AM, Tippetts TJ et al. Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions. AMIA Annu Symp Proc. 2014;2014:825-34.
99. Jenders RA, Osheroff JA, Sittig DF, Pifer EA, Teich JM. Recommendations for clinical decision support deployment: synthesis of a roundtable of medical directors of information systems. AMIA Annu Symp Proc. 2007:359-63.
100. Fong H, Harris E. Technology, innovation and health equity. Bull World Health Organ. 2015;93(7):438-A.