Differentiation of ileostomy from colostomy procedures: Assessing the accuracy of current procedural terminology codes and the utility of natural language processing

Surgery (United States)

Volumn 154, Issue 2, 2013, Pages 411-417

  Vo, Elaine ^a   Davila, Jessica A ^a   Hou, Jason ^a   Hodge, Krystle ^a   Li, Linda T ^a   Suliburk, James W ^a   Kao, Lillian S ^b   Berger, David H ^a   Liang, Mike K ^a  

^a BAYLOR COLLEGE OF MEDICINE   (United States)

^b UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; COLOSTOMY; CURRENT PROCEDURAL TERMINOLOGY; DATA ANALYSIS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; ILEOSTOMY; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING; PREDICTIVE VALUE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; STOMA;

ALGORITHMS; COLOSTOMY; HUMANS; ILEOSTOMY; NATURAL LANGUAGE PROCESSING; TERMINOLOGY AS TOPIC;

EID: 84880920814     PISSN: 00396060     EISSN: 15327361     Source Type: Journal    
DOI: 10.1016/j.surg.2013.05.022     Document Type: Article

References (13)

1. J. Cottam, K. Richards, A. Hasted, and A. Blackman Results of a nationwide prospective audit of stoma complications within 3 weeks of surgery Colorectal Dis 9 2007 834 838 (Pubitemid 47578032)
2. I. Robertson, E. Leung, D. Hughes, M. Spiers, L. Donnelly, and I. Mackenzie Colorectal Dis 7 2005 279 285
3. S.T. Martin, and J.D. Vogel Intestinal stomas: indications, management, and complications Adv Surg 46 2012 19 49
4. Liang MK, Li LT, Avellaneda A, Moffett JM, Hicks SC, Awad SS. Outcomes and predictors of incisional surgical site infection in stoma reversal. JAMA Surg (in press, 2013).
5. J.K. Hou, M. Chang, T. Nguyen, J.R. Kramer, P. Richardson, and S. Sansgiry Automated identification of surveillance colonoscopy in inflammatory bowel disease using natural language processing Dig Dis Sci 2012
6. H.J. Murff, F. FitzHenry, M.E. Matheny, N. Gentry, K.L. Kotter, and K. Crimin Automated identification of postoperative complications within an electronic medical record using natural language processing JAMA 306 2011 848 855
7. L.W. D'Avolio, T.M. Nguyen, W.R. Farwell, Y. Chen, F. Fitzmeyer, and O.M. Harris Evaluation of a generalizable approach to clinical information using the automated retrieval console (ARC) J Am Med Inform Assoc 17 2010 375 382
8. E.H. Lawson, R. Louie, D.S. Zingmond, R.H. Brook, B.L. Hall, and L. Han A comparison of clinical registry versus administrative claims data for reporting of 30-day surgical complications Ann Surg 256 2012 973 981
9. D.A. Anaya, N.S. Becker, P. Richardson, and N.S. Abraham Use of administrative data to identify colorectal liver metastasis J Surg Res 176 2012 141 146
10. J.R. Kramer, J.A. Davila, and E.D. Miller The validity of viral hepatitis and chronic liver disease diagnoses in Veterans Affairs administrative databases Aliment Pharmacol Ther 27 2008 274
11. L.A. Petersen, S. Wright, and S.L. Normand Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database J Gen Intern Med 14 1999 555
12. J.A. Singh, and S. Ayub Accuracy of VA databases for diagnoses of knee replacement and hip replacement Osteoarthitis Cartilage 18 2010 1639 1642
13. K.N. Danforth, M.I. Early, S. Ngan, A.E. Kosco, C. Zheng, and M.K. Gould Automated identification of patients with pulmonary nodules in an integrated health system using administrative health plan data, radiology reports, and natural language processing J Thorac Oncol 7 2012 1257 1262