Detalhe da pesquisa
1.
Pragmatic Trial of Hospitalization Rate in Chronic Kidney Disease.
N Engl J Med
; 390(13): 1196-1206, 2024 Apr 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38598574
2.
Vital Signs Are Still Vital: Instability on Discharge and the Risk of Post-Discharge Adverse Outcomes.
J Gen Intern Med
; 32(1): 42-48, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27503438
3.
Envisioning a social-health information exchange as a platform to support a patient-centered medical neighborhood: a feasibility study.
J Gen Intern Med
; 30(1): 60-7, 2015 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-25092009
4.
Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.
BMC Med Inform Decis Mak
; 15: 39, 2015 May 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-25991003
5.
An automated model using electronic medical record data identifies patients with cirrhosis at high risk for readmission.
Clin Gastroenterol Hepatol
; 11(10): 1335-1341.e1, 2013 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-23591286
6.
Use of administrative claims data for identifying patients with cirrhosis.
J Clin Gastroenterol
; 47(5): e50-4, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23090041
7.
Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm.
BMC Med Inform Decis Mak
; 13: 81, 2013 Aug 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-23915139
8.
Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data.
BMC Med Inform Decis Mak
; 13: 28, 2013 Feb 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-23442316
9.
An automated model to identify heart failure patients at risk for 30-day readmission or death using electronic medical record data.
Med Care
; 48(11): 981-8, 2010 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-20940649
10.
Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States.
BMC Med Inform Decis Mak
; 8: 39, 2008 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-18793426
11.
Comparing the financial condition of Texas hospitals using a novel definition for the safety net.
Tex Med
; 104(8): 55-62, 2008 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-19306544
12.
Measuring clinical information technology in the ICU setting: application in a quality improvement collaborative.
J Am Med Inform Assoc
; 14(3): 288-94, 2007.
Artigo
em Inglês
| MEDLINE | ID: mdl-17329726
13.
The quest for quality: perspectives from the safety net.
Front Health Serv Manage
; 23(4): 15-28, 2007.
Artigo
em Inglês
| MEDLINE | ID: mdl-17621924
14.
Initial Development of a Computer Algorithm to Identify Patients With Breast and Lung Cancer Having Poor Prognosis in a Safety Net Hospital.
Am J Hosp Palliat Care
; 33(7): 678-83, 2016 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-26140931
15.
Predicting all-cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison.
J Hosp Med
; 11(7): 473-80, 2016 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-26929062
16.
Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.
EGEMS (Wash DC)
; 4(1): 1163, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27141516
17.
County hospitals and regional medical care in Texas: an analysis of out-of-county costs.
Tex Med
; 100(6): 56-9, 2004 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-15267028
18.
The legal and ethical concerns that arise from using complex predictive analytics in health care.
Health Aff (Millwood)
; 33(7): 1139-47, 2014 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-25006139
19.
Implementing electronic health care predictive analytics: considerations and challenges.
Health Aff (Millwood)
; 33(7): 1148-54, 2014 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-25006140
20.
Allocating scarce resources in real-time to reduce heart failure readmissions: a prospective, controlled study.
BMJ Qual Saf
; 22(12): 998-1005, 2013 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-23904506