Enrollment into a time sensitive clinical study in the critical care setting: Results from computerized septic shock sniffer implementation

Journal of the American Medical Informatics Association

Volumn 18, Issue 5, 2011, Pages 639-644

  Herasevich, Vitaly ^a   Pieper, Matthew S ^a   Pulido, Juan ^a   Gajic, Ognjen ^a  

^a Mayo Clinic   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; CLASSIFICATION ALGORITHM; CLINICAL TRIAL; COMPUTERIZED ALERT SYSTEM; DISEASE SEVERITY; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH CARE PERSONNEL; HOSPITAL INFORMATION SYSTEM; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; SCREENING; SEPSIS; SEPTIC SHOCK; TIME; TRANSTHORACIC ECHOCARDIOGRAPHY;

AGED; ALGORITHMS; DATA MINING; DELAYED DIAGNOSIS; DIAGNOSIS, COMPUTER-ASSISTED; ECHOCARDIOGRAPHY; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INTENSIVE CARE UNITS; MALE; MIDDLE AGED; MINNESOTA; PATIENT SELECTION; PREDICTIVE VALUE OF TESTS; SHOCK, SEPTIC; TIME FACTORS;

EID: 80053253196     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000228     Document Type: Article

References (24)

1. Scales DC, Kahn JM. Tracheostomy timing, enrollment and power in ICU clinical trials. Intensive Care Med 2008;34:1743-5.
2. Montfoort I, Frens MA, Koes BW, et al. Tragedy of conducting a clinical trial; generic alert system needed. J Clin Epidemiol 2008;61:415-18.
3. Campbell MK, Snowdon C, Francis D, et al. Recruitment to randomised trials: strategies for trial enrollment and participation study. The STEPS study. Health Technol Assess 2007;11:iii, ixe105.
4. Kirkpatrick F. Rev Up Patient Recruitment. Pharmaceutical Executive 2002;2002:60-6.
5. Winn RJ. Obstacles to the accrual of patients to clinical trials in the community setting. Semin Oncol 1994;21(4 Suppl. 7):112-17.
6. Harvey SE, Elbourne D, Ashcroft J, et al. Informed consent in clinical trials in critical care: experience from the PAC-Man Study. Intensive Care Med 2006;32:2020-5.
7. Blot F, Similowski T, Trouillet JL, et al. Early tracheotomy versus prolonged endotracheal intubation in unselected severely ill ICU patients. Intensive Care Med 2008;34:1779-87.
8. Annane D, Outin H, Fisch C, et al. The effect of waiving consent on enrollment in a sepsis trial. Intensive Care Med 2004;30:321-4.
9. Breitfeld PP, Weisburd M, Overhage JM, et al. Pilot study of a point-of-use decision support tool for cancer clinical trials eligibility. J Am Med Inform Assoc 1999;6:466-77.
10. Seroussi B, Bouaud J. Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials. Artif Intell Med 2003;29:153-67.
11. Ohno-Machado L, Wang SJ, Mar P, et al. Decision support for clinical trial eligibility determination in breast cancer. Proc AMIA Symp 1999:340-4.
12. Afrin LB, Oates JC, Boyd CK, et al. Leveraging of open EMR architecture for clinical trial accrual. AMIA Annu Symp Proc 2003:16-20.
13. Herasevich V, Afessa B, Chute CG, et al. Designing and testing computer based screening engine for severe sepsis/septic shock. AMIA Annu Symp Proc 2008:966.
14. Afessa B, Keegan MT, Hubmayr RD, et al. Evaluating the performance of an institution using an intensive care unit benchmark. Mayo Clin Proc 2005;80:174-80.
15. Anon. American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Crit Care Med 1992;20:864-74.
16. Herasevich V, Keegan MT, Tines D, et al. "ICU of the future" : informatics infrastructure for syndrome surveillance, decision support, data mining, and modeling of critical illness. Journal of Critical Care 2007;22:340.
17. Herasevich V, Pickering BW, Dong Y, et al. Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness. Mayo Clin Proc 2010;85:247-54.
18. Li M, Hanson A, Tines D, et al. Critical care "sniffers" : an intelligent near-real time clinical alert system for patient safety and research. AMIA Spring Congress, 2009, Abstract 23
19. Poeze M, Ramsay G, Gerlach H, et al. An international sepsis survey: a study of doctors' knowledge and perception about sepsis. Crit Care 2004;8:R409-13.
20. Ohmann C, Kuchinke W. Meeting the challenges of patient recruitment: A role for electronic health records. Int J Pharm Med 2007;21:263-70.
21. Weiner DL, Butte AJ, Hibberd PL, et al. Computerized recruiting for clinical trials in real time. Ann Emerg Med 2003;41:242-6.
22. Embi PJ, Jain A, Clark J, et al. Effect of a clinical trial alert system on physician participation in trial recruitment. Arch Intern Med 2005;165:2272-7.
23. Embi PJ, Jain A, Harris CM. Physicians' perceptions of an electronic health record-based clinical trial alert approach to subject recruitment: a survey. BMC Med Inform Decis Mak 2008;8:13.
24. Annane D. Improving clinical trials in the critically ill: unique challengeesepsis. Crit Care Med 2009;37(1 Suppl):S117-28.