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Items: 1 to 20 of 127

1.

Derivation and validation of automated electronic search strategies to extract Charlson comorbidities from electronic medical records.

Singh B, Singh A, Ahmed A, Wilson GA, Pickering BW, Herasevich V, Gajic O, Li G.

Mayo Clin Proc. 2012 Sep;87(9):817-24. doi: 10.1016/j.mayocp.2012.04.015.

2.

Retrospective derivation and validation of a search algorithm to identify emergent endotracheal intubations in the intensive care unit.

Smischney NJ, Velagapudi VM, Onigkeit JA, Pickering BW, Herasevich V, Kashyap R.

Appl Clin Inform. 2013 Sep 4;4(3):419-27. doi: 10.4338/ACI-2013-05-RA-0033. eCollection 2013.

3.

Retrospective derivation and validation of a search algorithm to identify extubation failure in the intensive care unit.

Rishi MA, Kashyap R, Wilson G, Hocker S.

BMC Anesthesiol. 2014 May 23;14:41. doi: 10.1186/1471-2253-14-41. eCollection 2014.

4.

Towards prevention of acute syndromes: electronic identification of at-risk patients during hospital admission.

Ahmed A, Thongprayoon C, Pickering BW, Akhoundi A, Wilson G, Pieczkiewicz D, Herasevich V.

Appl Clin Inform. 2014 Jan 22;5(1):58-72. doi: 10.4338/ACI-2013-07-RA-0045. eCollection 2014.

5.

Derivation and validation of a search algorithm to retrospectively identify mechanical ventilation initiation in the intensive care unit.

Smischney NJ, Velagapudi VM, Onigkeit JA, Pickering BW, Herasevich V, Kashyap R.

BMC Med Inform Decis Mak. 2014 Jun 25;14:55. doi: 10.1186/1472-6947-14-55.

6.

Derivation and validation of automated electronic search strategies to identify pertinent risk factors for postoperative acute lung injury.

Alsara A, Warner DO, Li G, Herasevich V, Gajic O, Kor DJ.

Mayo Clin Proc. 2011 May;86(5):382-8. doi: 10.4065/mcp.2010.0802.

7.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA.

Med Care. 2005 Nov;43(11):1130-9.

PMID:
16224307
8.

Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record.

Savova GK, Olson JE, Murphy SP, Cafourek VL, Couch FJ, Goetz MP, Ingle JN, Suman VJ, Chute CG, Weinshilboum RM.

J Am Med Inform Assoc. 2012 Jun;19(e1):e83-9. Epub 2011 Dec 1.

9.

Retrospective Derivation and Validation of an Automated Electronic Search Algorithm to Identify Post Operative Cardiovascular and Thromboembolic Complications.

Tien M, Kashyap R, Wilson GA, Hernandez-Torres V, Jacob AK, Schroeder DR, Mantilla CB.

Appl Clin Inform. 2015 Sep 9;6(3):565-76. doi: 10.4338/ACI-2015-03-RA-0026. eCollection 2015.

PMID:
26448798
10.
11.

Automatic generation of case-detection algorithms to identify children with asthma from large electronic health record databases.

Afzal Z, Engelkes M, Verhamme KM, Janssens HM, Sturkenboom MC, Kors JA, Schuemie MJ.

Pharmacoepidemiol Drug Saf. 2013 Aug;22(8):826-33. doi: 10.1002/pds.3438. Epub 2013 Apr 17.

PMID:
23592573
12.

The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients.

Thygesen SK, Christiansen CF, Christensen S, Lash TL, Sørensen HT.

BMC Med Res Methodol. 2011 May 28;11:83. doi: 10.1186/1471-2288-11-83.

13.

Comparison of electronic laboratory reports, administrative claims, and electronic health record data for acute viral hepatitis surveillance.

Allen-Dicker J, Klompas M.

J Public Health Manag Pract. 2012 May-Jun;18(3):209-14. doi: 10.1097/PHH.0b013e31821f2d73.

PMID:
22473112
14.

Improving automated case finding for ectopic pregnancy using a classification algorithm.

Scholes D, Yu O, Raebel MA, Trabert B, Holt VL.

Hum Reprod. 2011 Nov;26(11):3163-8. doi: 10.1093/humrep/der299. Epub 2011 Sep 12.

15.

Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases.

Li B, Evans D, Faris P, Dean S, Quan H.

BMC Health Serv Res. 2008 Jan 14;8:12. doi: 10.1186/1472-6963-8-12.

16.

Herpes zoster and postherpetic neuralgia surveillance using structured electronic data.

Klompas M, Kulldorff M, Vilk Y, Bialek SR, Harpaz R.

Mayo Clin Proc. 2011 Dec;86(12):1146-53. doi: 10.4065/mcp.2011.0305. Epub 2011 Oct 13.

17.

Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data?

Glance LG, Dick AW, Osler TM, Mukamel DB.

Health Serv Res. 2006 Feb;41(1):231-51.

18.
19.

Accuracy of phenotyping chronic rhinosinusitis in the electronic health record.

Hsu J, Pacheco JA, Stevens WW, Smith ME, Avila PC.

Am J Rhinol Allergy. 2014 Mar-Apr;28(2):140-4. doi: 10.2500/ajra.2014.28.4012.

PMID:
24717952
20.

An algorithm that identifies coronary and heart failure events in the electronic health record.

Kottke TE, Baechler CJ.

Prev Chronic Dis. 2013;10:E29. doi: 10.5888/pcd10.120097.

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