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Results: 1 to 20 of 393

1.

Modifying ICD-9-CM coding of secondary diagnoses to improve risk-adjustment of inpatient mortality rates.

Pine M, Jordan HS, Elixhauser A, Fry DE, Hoaglin DC, Jones B, Meimban R, Warner D, Gonzales J.

Med Decis Making. 2009 Jan-Feb;29(1):69-81. doi: 10.1177/0272989X08323297. Epub 2008 Sep 23.

PMID:
18812585
[PubMed - indexed for MEDLINE]
2.

Enhancement of claims data to improve risk adjustment of hospital mortality.

Pine M, Jordan HS, Elixhauser A, Fry DE, Hoaglin DC, Jones B, Meimban R, Warner D, Gonzales J.

JAMA. 2007 Jan 3;297(1):71-6.

PMID:
17200477
[PubMed - indexed for MEDLINE]
3.

Laboratory values improve predictions of hospital mortality.

Pine M, Jones B, Lou YB.

Int J Qual Health Care. 1998 Dec;10(6):491-501.

PMID:
9928588
[PubMed - indexed for MEDLINE]
Free Article
4.

Impact of the present-on-admission indicator on hospital quality measurement: experience with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators.

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

Med Care. 2008 Feb;46(2):112-9. doi: 10.1097/MLR.0b013e318158aed6.

PMID:
18219238
[PubMed - indexed for MEDLINE]
5.

Combining administrative and clinical data to stratify surgical risk.

Fry DE, Pine M, Jordan HS, Elixhauser A, Hoaglin DC, Jones B, Warner D, Meimban R.

Ann Surg. 2007 Nov;246(5):875-85.

PMID:
17968182
[PubMed - indexed for MEDLINE]
6.

Predictions of hospital mortality rates: a comparison of data sources.

Pine M, Norusis M, Jones B, Rosenthal GE.

Ann Intern Med. 1997 Mar 1;126(5):347-54.

PMID:
9054278
[PubMed - indexed for MEDLINE]
7.

Identifying in-hospital venous thromboembolism (VTE): a comparison of claims-based approaches with the Rochester Epidemiology Project VTE cohort.

Leibson CL, Needleman J, Buerhaus P, Heit JA, Melton LJ 3rd, Naessens JM, Bailey KR, Petterson TM, Ransom JE, Harris MR.

Med Care. 2008 Feb;46(2):127-32. doi: 10.1097/MLR.0b013e3181589b92.

PMID:
18219240
[PubMed - indexed for MEDLINE]
8.
9.

Stroke: the Elixhauser Index for comorbidity adjustment of in-hospital case fatality.

Zhu H, Hill MD.

Neurology. 2008 Jul 22;71(4):283-7. doi: 10.1212/01.wnl.0000318278.41347.94.

PMID:
18645167
[PubMed - indexed for MEDLINE]
10.

The hazards of using administrative data to measure surgical quality.

Fry DE, Pine MB, Jordan HS, Hoaglin DC, Jones B, Meimban R.

Am Surg. 2006 Nov;72(11):1031-7; discussion 1061-9, 1133-48. Erratum in: Am Surg. 2007 Feb;73(2):199.

PMID:
17120944
[PubMed - indexed for MEDLINE]
11.

How often are potential patient safety events present on admission?

Houchens RL, Elixhauser A, Romano PS.

Jt Comm J Qual Patient Saf. 2008 Mar;34(3):154-63.

PMID:
18419045
[PubMed - indexed for MEDLINE]
12.

Impact of risk adjusted clinical outcomes methodology--quality measures on hospital mortality data: a statistical and case study approach.

Lied TR, Kazandjian VA, Hohman SF.

Am J Med Qual. 1999 Nov-Dec;14(6):255-61.

PMID:
10624030
[PubMed - indexed for MEDLINE]
13.

A classification of hospital-acquired diagnoses for use with routine hospital data.

Jackson TJ, Michel JL, Roberts RF, Jorm CM, Wakefield JG.

Med J Aust. 2009 Nov 16;191(10):544-8.

PMID:
19912086
[PubMed - indexed for MEDLINE]
14.

The importance of laboratory data for comparing outcomes and detecting 'outlier' wards in the treatment of patients with pneumonia.

Maor Y, Rubin HR, Gabbai U, Mozes B.

J Health Serv Res Policy. 1998 Jan;3(1):39-43.

PMID:
10180388
[PubMed - indexed for MEDLINE]
15.

Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases.

Escobar GJ, Greene JD, Scheirer P, Gardner MN, Draper D, Kipnis P.

Med Care. 2008 Mar;46(3):232-9. doi: 10.1097/MLR.0b013e3181589bb6.

PMID:
18388836
[PubMed - indexed for MEDLINE]
16.

Risk adjustment for coronary artery bypass graft surgery: an administrative approach versus EuroSCORE.

Ugolini C, Nobilio L.

Int J Qual Health Care. 2004 Apr;16(2):157-64.

PMID:
15051710
[PubMed - indexed for MEDLINE]
Free Article
17.

Underreporting of computed tomography and magnetic resonance imaging procedures in inpatient claims data.

Dismuke CE.

Med Care. 2005 Jul;43(7):713-7.

PMID:
15970787
[PubMed - indexed for MEDLINE]
18.

Mortality after cardiac bypass surgery: prediction from administrative versus clinical data.

Geraci JM, Johnson ML, Gordon HS, Petersen NJ, Shroyer AL, Grover FL, Wray NP.

Med Care. 2005 Feb;43(2):149-58.

PMID:
15655428
[PubMed - indexed for MEDLINE]
19.

Which hospitals have significantly better or worse than expected mortality rates for acute myocardial infarction patients? Improved risk adjustment with present-at-admission diagnoses.

Stukenborg GJ, Wagner DP, Harrell FE Jr, Oliver MN, Heim SW, Price AL, Han CK, Wolf AM, Connors AF Jr.

Circulation. 2007 Dec 18;116(25):2960-8. Epub 2007 Dec 10.

PMID:
18071076
[PubMed - indexed for MEDLINE]
Free Article
20.

Severity of illness measures derived from the Uniform Clinical Data Set (UCDSS).

Hartz AJ, Guse C, Sigmann P, Krakauer H, Goldman RS, Hagen TC.

Med Care. 1994 Sep;32(9):881-901.

PMID:
8090042
[PubMed - indexed for MEDLINE]

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