Informatics and the American College of Surgeons National Surgical Quality Improvement Program: Automated Processes Could Replace Manual Record Review

Journal of the American College of Surgeons

Volumn 208, Issue 1, 2009, Pages 37-41

  Hanauer, David A ^a   Englesbe, Michael J ^a   Cowan Jr , John A ^a   Campbell, Darrell A ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DATA PROCESSING; DATA COLLECTION; FEASIBILITY STUDIES; FORMS AND RECORDS CONTROL; GENERAL SURGERY; HUMANS; MEDICAL AUDIT; MEDICAL INFORMATICS; MEDICAL RECORDS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MYOCARDIAL INFARCTION; OUTCOME ASSESSMENT (HEALTH CARE); POSTOPERATIVE COMPLICATIONS; PULMONARY EMBOLISM; QUALITY ASSURANCE, HEALTH CARE; QUALITY OF HEALTH CARE; UNITED STATES;

EID: 57749185676     PISSN: 10727515     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jamcollsurg.2008.08.030     Document Type: Article

References (20)

1. Khuri S.F., Daley J., Henderson W., et al. The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. Ann Surg 228 (1998) 491-507
2. Fink A.S., Campbell Jr. D.A., Mentzer Jr. R.M., et al. The National Surgical Quality Improvement Program in non-Veterans Administration hospitals: initial demonstration of feasibility. Ann Surg 236 (2002) 344-353 discussion 353-354
3. Khuri S.F. The NSQIP: a new frontier in surgery. Surgery 138 (2005) 837-843
4. Khuri S.F., Daley J., and Henderson W.G. The comparative assessment and improvement of quality of surgical care in the Department of Veterans Affairs. Arch Surg 137 (2002) 20-27
5. Neumayer L., Mastin M., Vanderhoof L., and Hinson D. Using the Veterans Administration National Surgical Quality Improvement Program to improve patient outcomes. J Surg Res 88 (2000) 58-61
6. Rowell K.S., Turrentine F.E., Hutter M.M., et al. Use of national surgical quality improvement program data as a catalyst for quality improvement. J Am Coll Surg 204 (2007) 1293-1300
7. Jones R.S., Brown C., and Opelka F. Surgeon compensation: "pay for performance," the American College of Surgeons National Surgical Quality Improvement Program, the Surgical Care Improvement Program, and other considerations. Surgery 138 (2005) 829-836
8. Lindenauer P.K., Remus D., Roman S., et al. Public reporting and pay for performance in hospital quality improvement. N Engl J Med 356 (2007) 486-496
9. Hanauer D.A. EMERSE: the Electronic Medical Record Search Engine. AMIA Annu Symp Proc 941 (2006)
10. Hanauer D.A., Miela G., Chinnaiyan A.M., et al. The registry case finding engine: an automated tool to identify cancer cases from unstructured, free-text pathology reports and clinical notes. J Am Coll Surg 205 (2007) 690-697
11. Melton G.B., and Hripcsak G. Automated detection of adverse events using natural language processing of discharge summaries. J Am Med Inform Assoc 12 (2005) 448-457
12. Friedman C., Hripcsak G., Shagina L., and Liu H. Representing information in patient reports using natural language processing and the extensible markup language. J Am Med Inform Assoc 6 (1999) 76-87
13. Neale G., and Woloshynowych M. Retrospective case record review: a blunt instrument that needs sharpening. Qual Saf Health Care 12 (2003) 2-3
14. Thomas E.J., Lipsitz S.R., Studdert D.M., and Brennan T.A. The reliability of medical record review for estimating adverse event rates. Ann Intern Med 136 (2002) 812-816
15. Penz J.F., Wilcox A.B., and Hurdle J.F. Automated identification of adverse events related to central venous catheters. J Biomed Inform 40 (2007) 174-182
16. Murff H.J., Forster A.J., Peterson J.F., et al. Electronically screening discharge summaries for adverse medical events. J Am Med Inform Assoc 10 (2003) 339-350
17. Huang Y., and Lowe H.J. A novel hybrid approach to automated negation detection in clinical radiology reports. J Am Med Inform Assoc 14 (2007) 304-311
18. Forster A.J., Andrade J., and van Walraven C. Validation of a discharge summary term search method to detect adverse events. J Am Med Inform Assoc 12 (2005) 200-206
19. Fujino M.A., Bito S., Takei K., et al. Terminology and global standardization of endoscopic information: Minimal Standard Terminology (MST). Conf Proc IEEE Eng Med Biol Soc 1 (2006) 2606-2609
20. Hayden S.P., Oppedisano R., and Breudigam M. Leveraging electronic medical record (EMR) systems along with other health information systems (HIS) to improve data capture and reporting for a surgical quality improvement program at a tertiary care institution and integrated health system. AMIA Annu Symp Proc 970 (2007)