Detalhe da pesquisa
1.
Using dipstick urinalysis to predict development of acute kidney injury in patients with COVID-19.
BMC Nephrol
; 23(1): 50, 2022 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35105331
2.
Specific Gravity Improves Identification of Clinically Significant Quantitative Proteinuria from the Dipstick Urinalysis.
Kidney360
; 2024 Apr 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-38664867
3.
Validation of a predictive model for hospital-acquired acute kidney injury with emergence of SARS-CoV-2 variants.
J Investig Med
; 71(5): 459-464, 2023 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36786195
4.
Risk Prediction for Acute Kidney Injury in Patients Hospitalized With COVID-19.
Kidney Med
; 4(6): 100463, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-35434597
5.
Real-Time Patient Portal Use Among Emergency Department Patients: An Open Results Study.
Appl Clin Inform
; 13(5): 1123-1130, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-36167337
6.
Validation of the WATCH-DM and TRS-HFDM Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A Multicohort Analysis.
J Am Heart Assoc
; 11(11): e024094, 2022 06 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35656988
7.
The use of automated data extraction tools to develop a solid organ transplant registry: Proof of concept study of bloodstream infections.
J Infect
; 82(1): 41-47, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33038385
8.
Electronic Health Records-Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study.
JMIR Cardio
; 5(1): e22296, 2021 May 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-33797396
9.
Impact of a problem-oriented view on clinical data retrieval.
J Am Med Inform Assoc
; 28(5): 899-906, 2021 04 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33566093
10.
Rolling Up the Sleeve: Equitable, Efficient, and Safe COVID-19 Mass Immunization for Academic Medical Center Employees.
Appl Clin Inform
; 12(5): 1074-1081, 2021 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34788889
11.
Algorithmic Detection of Boolean Logic Errors in Clinical Decision Support Statements.
Appl Clin Inform
; 12(1): 182-189, 2021 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33694144
12.
"D/C the CC (Carbon Copy)" - Improving the EHR Signal-to-Noise Ratio for Clinicians by Selective Feature De-Implementation.
Stud Health Technol Inform
; 264: 1915-1916, 2019 Aug 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31438405
13.
Correction: SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets.
JMIR Med Inform
; 7(3): e14654, 2019 Jul 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-31298223
14.
SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets.
JMIR Med Inform
; 7(1): e11487, 2019 Jan 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-30664458
15.
Count me in: using a patient portal to minimize implicit bias in clinical research recruitment.
J Am Med Inform Assoc
; 26(8-9): 703-713, 2019 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31081898
16.
User stories as lightweight requirements for agile clinical decision support development.
J Am Med Inform Assoc
; 26(11): 1344-1354, 2019 11 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31512730
17.
Agile Acceptance Test-Driven Development of Clinical Decision Support Advisories: Feasibility of Using Open Source Software.
JMIR Med Inform
; 6(2): e23, 2018 Apr 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-29653922
18.
SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data.
Appl Clin Inform
; 9(3): 667-682, 2018 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-30157499
19.
Agile Co-Development for Clinical Adoption and Adaptation of Innovative Technologies.
Health Innov Point Care Conf
; 2018: 56-59, 2017 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-30364762
20.
Rapid Development of Specialty Population Registries and Quality Measures from Electronic Health Record Data*. An Agile Framework.
Methods Inf Med
; 56(99): e74-e83, 2017 06 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-28930362