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Review Article| Volume 29, ISSUE 1, P57-69, March 2011

Using Real-Time Clinical Decision Support to Improve Performance on Perioperative Quality and Process Measures

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      References

        • Bloomfield E.L.
        • Feinglass N.G.
        The anesthesia information management system for electronic documentation: what are we waiting for?.
        J Anesth. 2008; 22: 404-411
        • Benson M.
        • Junger A.
        • Quinzio L.
        • et al.
        Clinical and practical requirements of online software for anesthesia documentation an experience report.
        Int J Med Inform. 2000; 57: 155-164
        • Ehrenfeld J.M.
        • Rehman M.A.
        Anesthesia information management systems: a review of functionality and installation considerations.
        J Clin Monit Comput. 2010; ([Epub ahead of print])
        • Egger Halbeis C.B.
        • Epstein R.H.
        • Macario A.
        • et al.
        Adoption of anesthesia information management systems by academic departments in the United States.
        Anesth Analg. 2008; 107: 1323-1329
        • Ehrenfeld J.M.
        Anesthesia information management systems—a guide to their successful installation and use.
        Anesthesiology News. September 2009; : 1-7
        • Balust J.
        • Egger Halbeis C.B.
        • Macario A.
        Prevalence of anaesthesia information management systems in university-affiliated hospitals in Europe.
        Eur J Anaesthesiol. 2010; 27: 202-208
        • Boersma E.
        • Kertai M.D.
        • Schouten O.
        • et al.
        Perioperative cardiovascular mortality in noncardiac surgery: validation of the Lee Cardiac Risk Index.
        Am J Med. 2005; 118: 1134-1141
        • Edsall D.W.
        • Deshane P.
        • Giles C.
        • et al.
        Computerized patient anesthesia records: less time and better quality than manually produced anesthesia records.
        J Clin Anesth. 1993; 5: 275-283
        • Rohrig R.
        • Junger A.
        • Hartmann B.
        • et al.
        The incidence and prediction of automatically detected intraoperative cardiovascular events in noncardiac surgery.
        Anesth Analg. 2004; 98: 569-577
        • Bates D.W.
        • Gawande A.A.
        Improving safety with information technology.
        N Engl J Med. 2003; 348: 2526-2534
        • Sandberg W.S.
        • Sandberg E.H.
        • Seim A.R.
        • et al.
        Real-time checking of electronic anesthesia records for documentation errors and automatically text messaging clinicians improves quality of documentation.
        Anesth Analg. 2008; 106: 192-201
        • Muravchick S.
        • Caldwell J.E.
        • Epstein R.H.
        • et al.
        Anesthesia information management system implementation: a practical guide.
        Anesth Analg. 2008; 107: 1598-1608
        • Benson M.
        • Junger A.
        • Fuchs C.
        • et al.
        Using an anesthesia information management system to prove a deficit in voluntary reporting of adverse events in a quality assurance program.
        J Clin Monit Comput. 2000; 16: 211-217
        • Lerou J.G.
        • Dirksen R.
        • van Daele M.
        • et al.
        Automated charting of physiological variables in anesthesia: a quantitative comparison of automated versus handwritten anesthesia records.
        J Clin Monit. 1988; 4: 37-47
        • Balust J.
        • Macario A.
        Can anesthesia information management systems improve quality in the surgical suite?.
        Curr Opin Anaesthesiol. 2009; 22: 215-222
        • O’Reilly M.
        • Talsma A.
        • VanRiper S.
        • et al.
        An anesthesia information system designed to provide physician-specific feedback improves timely administration of prophylactic antibiotics.
        Anesth Analg. 2006; 103: 908-912
        • Driscoll W.D.
        • Columbia M.A.
        • Peterfreund R.A.
        An observational study of anesthesia record completeness using an anesthesia information management system.
        Anesth Analg. 2007; 104: 1454-1461
        • Hollenberg J.P.
        • Pirraglia P.A.
        • Williams-Russo P.
        • et al.
        Computerized data collection in the operating room during coronary artery bypass surgery: a comparison to the hand-written anesthesia record.
        J Cardiothorac Vasc Anesth. 1997; 11: 545-551
        • Ehrenfeld J.M.
        • Sandberg W.S.
        Incidence of intraoperative gaps in patient monitoring during anesthesia.
        Anesthesiology. 2006; : A974
        • Benson M.
        • Junger A.
        • Quinzio L.
        • et al.
        Influence of the method of data collection on the documentation of blood-pressure readings with an Anesthesia Information Management System (AIMS).
        Methods Inf Med. 2001; 40: 190-195
        • Cook R.I.
        • McDonald J.S.
        • Nunziata E.
        Differences between handwritten and automatic blood pressure records.
        Anesthesiology. 1989; 71: 385-390
        • Reich D.L.
        • Wood Jr., R.K.
        • Mattar R.
        • et al.
        Arterial blood pressure and heart rate discrepancies between handwritten and computerized anesthesia records.
        Anesth Analg. 2000; 91: 612-616
        • Ouchterlony J.
        • Arvidsson S.
        • Sjostedt L.
        • et al.
        Peroperative and immediate postoperative adverse events in patients undergoing elective general and orthopaedic surgery. The Gothenburg study of perioperative risk (PROPER). Part II.
        Acta Anaesthesiol Scand. 1995; 39: 643-652
        • Cohen M.M.
        • Duncan P.G.
        • Pope W.D.
        • et al.
        The Canadian four-centre study of anaesthetic outcomes: II. Can outcomes be used to assess the quality of anaesthesia care?.
        Can J Anaesth. 1992; 39: 430-439
        • Cohen M.M.
        • Duncan P.G.
        • Pope W.D.
        • et al.
        A survey of 112,000 anaesthetics at one teaching hospital (1975–83).
        Can Anaesth Soc J. 1986; 33: 22-31
        • Cooper J.B.
        • Cullen D.J.
        • Nemeskal R.
        • et al.
        Effects of information feedback and pulse oximetry on the incidence of anesthesia complications.
        Anesthesiology. 1987; 67: 686-694
        • Forrest J.B.
        • Rehder K.
        • Cahalan M.K.
        • et al.
        Multicenter study of general anesthesia. III. Predictors of severe perioperative adverse outcomes.
        Anesthesiology. 1992; 76: 3-15
        • Beilin Y.
        • Wax D.
        • Torrillo T.
        • et al.
        A survey of anesthesiologists’ and nurses’ attitudes toward the implementation of an Anesthesia Information Management System on a labor and delivery floor.
        Int J Obstet Anesth. 2009; 18: 22-27
        • Vigoda M.M.
        • Gencorelli F.
        • Lubarsky D.A.
        Changing medical group behaviors: increasing the rate of documentation of quality assurance events using an anesthesia information system.
        Anesth Analg. 2006; 103: 390-395
        • Sanborn K.V.
        • Castro J.
        • Kuroda M.
        • et al.
        Detection of intraoperative incidents by electronic scanning of computerized anesthesia records. Comparison with voluntary reporting.
        Anesthesiology. 1996; 85: 977-987
        • Costanza M.E.
        • Stoddard A.M.
        • Zapka J.G.
        • et al.
        Physician compliance with mammography guidelines: barriers and enhancers.
        J Am Board Fam Pract. 1992; 5: 143-152
        • Headrick L.A.
        • Speroff T.
        • Pelecanos H.I.
        • et al.
        Efforts to improve compliance with the National Cholesterol Education Program guidelines. Results of a randomized controlled trial.
        Arch Intern Med. 1992; 152: 2490-2496
        • Browner W.S.
        • Baron R.B.
        • Solkowitz S.
        • et al.
        Physician management of hypercholesterolemia. A randomized trial of continuing medical education.
        West J Med. 1994; 161: 572-578
        • Studnicki J.
        • Schapira D.V.
        • Bradham D.D.
        • et al.
        Response to the National Cancer Institute Alert. The effect of practice guidelines on two hospitals in the same medical community.
        Cancer. 1993; 72: 2986-2992
        • Cohen M.M.
        • Rose D.K.
        • Yee D.A.
        Changing anesthesiologists’ practice patterns. Can it be done?.
        Anesthesiology. 1996; 85: 260-269
        • Kooij F.O.
        • Klok T.
        • Hollmann M.W.
        • et al.
        Decision support increases guideline adherence for prescribing postoperative nausea and vomiting prophylaxis.
        Anesth Analg. 2008; 106: 893-898
        • Gillerman R.G.
        • Browning R.A.
        Drug use inefficiency: a hidden source of wasted health care dollars.
        Anesth Analg. 2000; 91: 921-924
        • Fuchs C.
        • Quinzio L.
        • Benson M.
        • et al.
        Integration of a handheld based anaesthesia rounding system into an anaesthesia information management system.
        Int J Med Inform. 2006; 75: 553-563
        • Epstein R.H.
        • Ekbatani A.
        • Kaplan J.
        • et al.
        Development of a staff recall system for mass casualty incidents using cell phone text messaging.
        Anesth Analg. 2010; 110: 871-878
        • Girbes A.R.
        • Zijlstra J.G.
        Spend time on patients and families or on documentation?.
        Anesth Analg. 2009; 109: 691-692
        • Terry K.
        How the device in your hand can put more money in your pocket.
        Med Econ. 2001; 78 (49–50): 44-46
        • O’Byrne 3rd, W.T.
        • Weavind L.
        • Selby J.
        The science and economics of improving clinical communication.
        Anesthesiol Clin. 2008; 26 (vii): 729-744
        • Meyer-Bender A.
        • Spitz R.
        • Pollwein B.
        The anaesthetic report: custom-made printouts from anaesthesia-information-management-systems using extensible stylesheet language transformation.
        J Clin Monit Comput. 2010; 24: 51-60
        • Feldman J.M.
        Do anesthesia information systems increase malpractice exposure? Results of a survey.
        Anesth Analg. 2004; 99: 840-843
        • Ehrenfeld J.M.
        • Funk L.M.
        • Van Schalkwyk J.
        • et al.
        The incidence of hypoxemia during surgery: evidence from two institutions.
        Can J Anaesth. 2010; 57: 888-897
        • Chambers C.V.
        • Balaban D.J.
        • Carlson B.L.
        • et al.
        The effect of microcomputer-generated reminders on influenza vaccination rates in a university based family practice center.
        J Am Board Fam Pract. 1991; 4: 19-26