The anesthesia team of the future

Current Opinion in Anaesthesiology

Volumn 24, Issue 6, 2011, Pages 687-692

  Bartels, Karsten ^a   Barbeito, Atilio ^a   MacKensen, G Burkhard ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Anesthesia team; perioperative epidemiology; perioperative medicine

Indexed keywords

ADVANCED PRACTICE NURSE; ANESTHESIST; CLINICAL DECISION MAKING; CLINICAL PATHWAY; CLINICAL PRACTICE; CONTINUING EDUCATION; COST EFFECTIVENESS ANALYSIS; CRITICALLY ILL PATIENT; CURRICULUM; DECISION SUPPORT SYSTEM; ELECTRONIC MEDICAL RECORD; HEALTH CARE COST; HEALTH CARE DELIVERY; HEALTH CARE QUALITY; HUMAN; INTENSIVE CARE UNIT; MEDICAL EDUCATION; MEDICAL EXPERT; MOBILE PHONE; NURSE PRACTITIONER; PERIOPERATIVE PERIOD; POSTOPERATIVE PAIN; PRIORITY JOURNAL; PROFESSIONAL DEVELOPMENT; REVIEW; SURGICAL PATIENT; TELECOMMUNICATION; TREATMENT OUTCOME;

ANESTHESIOLOGY; ELECTRONIC HEALTH RECORDS; HUMANS; PATIENT CARE TEAM; PERIOPERATIVE CARE;

EID: 81855166678     PISSN: 09527907     EISSN: 14736500     Source Type: Journal    
DOI: 10.1097/ACO.0b013e32834c15b6     Document Type: Review

References (27)

1. ASA House of Delegates. Statement on the anesthesia care team. American Society of Anesthesiology; 2006. http://www. asahq. org/For-Healthcare- Professionals/ ~/media/For%20Members/documents/Standards%20Guide-lines%20Stmts/ Anesthesia%20Care%20Team. ashx [Accessed Sep 2011].
2. Einav S, Donchin Y, Weissman C, Drenger B. Anesthesiologists on ambulances: where do we stand? Curr Opin Anaesthesiol 2003; 16:585-591. (Pubitemid 38756917)
3. Fischer M, Kamp J, Garcia-Castrillo Riesgo L, et al. Comparing emergency medical service systems-a project of the European Emergency Data (EED) Project Resuscitation 2011; 82: 285-293.
4. Soreide E, Kalman S, Aneman A, et al. Shaping the future of Scandinavian anaesthesiology: a position paper by the SSAI. Acta Anaesthesiol Scand 2010; 54:1062-1070.
5. Fleisher LA. Improving perioperative outcomes: my journey into risk, patient preferences, guidelines, and performance measures: Ninth Honorary FAER Research Lecture. Anesthesiology 2010; 112:794-801.
6. Rotter T, Kinsman L, James E, et al. Clinical pathways: effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database Syst Rev 2010; CD006632.
7. Hu Y, Liang D, Li X, et al. The role of interleukin-1 in wound biology. Part I. Murine in silico and in vitro experimental analysis. Anesth Analg 2010; 111:1525-1533.
8. Hu Y, Liang D, Li X, et al. The role of interleukin-1 in wound biology. Part II. In vivo and human translational studies. Anesth Analg 2010; 111:1534-1542.
9. Spiess BD, Wahr JA, Nussmeier NA. Bring your life into FOCUS! Anesth Analg 2010; 110:283-287.
10. Cumin D, Weller JM, Henderson K, Merry AF. Standards for simulation in anaesthesia: creating confidence in the tools. Br J Anaesth 2010; 105:45-51.
11. Weller J, Morris R, Watterson L, et al. Effective management of anaesthetic crises: development and evaluation of a college-accredited simulation-based course for anaesthesia education in Australia and New Zealand. Simul Healthc 2006; 1:209-214.
12. Muravchick S. Anesthesia information management systems. Curr Opin Anaesthesiol 2009; 22:764-768.
13. Chau A, Ehrenfeld JM. Using real-time clinical decision support to improve performance on perioperative quality and process measures. Anesthesiol Clin 2011; 29:57-69.
14. Nair BG, Newman SF, Peterson GN, et al. Feedback mechanisms including real-time electronic alerts to achieve near 100% timely prophylactic antibiotic administration in surgical cases. Anesth Analg 2010; 111:1293-1300.
15. Sandberg WS,Sandberg EH,Seim AR, et al. Real-timechecking ofelectronic anesthesia records for documentation errors and automatically text messa-ging clinicians improves quality of documentation. Anesth Analg 2008; 106:192-201.
16. Herasevich V, Tsapenko M, Kojicic M, et al. Limiting ventilator-induced lung injury through individual electronic medical record surveillance. Crit Care Med 2011; 39:34-39.
17. Low D, Clark N, Soar J, et al. A randomised control trial to determine if use of the i Resus(c) application on a smart phone improves the performance of an advanced life support provider in a simulated medical emergency. Anaesthesia 2011; 66:255-262.
18. Martinez-Ramos C, Cerdan MT, Lopez RS. Mobile phone-based telemedicine system for the home follow-up of patients undergoing ambulatory surgery. Telemed J E Health 2009; 15:531-537.
19. Palombo D, Mugnai D, Mambrini S, et al. Role of interactive home teleme-dicine for early and protected discharge 1 day after carotid endarterectomy. Ann Vasc Surg 2009; 23:76-80.
20. Wall RJ, Dittus RS, Ely EW. Protocol-driven care in the intensive care unit: a tool for quality. Crit Care 2001; 5:283-285. (Pubitemid 34130318)
21. Doctorow C. Big data:welcometothepetacentre. Nature 2008;455:16-21.
22. Trelles O, Prins P, Snir M, Jansen RC. Big data, but are we ready? Nature reviews. Genetics 2011; 12:224.
23. Services Do Ha HSCf MM. Medicare program; hospital inpatient value-based purchasing program. Final rule. Fed Regist 2011; 76:26490-26547.
24. Aschengrau A,Seage GR, III. Theapproach and evolution ofepidemiology. In: AAa RRS,editor. Essentialsofepidemiology in public health. 2nd ed. Sadbury, MA: Jones and Bartlett Publishers; 2008. p. 6.
25. Ginsberg J, Mohebbi MH, Patel RS, et al. Detecting influenzaepidemics using search engine query data. Nature 2009; 457:1012-1014.
26. Reves JG. We are what we make: transforming research in anesthesiology: the 45th Rovenstine Lecture. Anesthesiology 2007; 106:826-835. (Pubitemid 46555627)
27. Dexter F, Wachtel RE, Epstein RH. Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data. BMC Med Inform Decis Mak 2011; 11:2.