Detalles de la búsqueda
1.
Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study.
J Med Internet Res
; 23(4): e22796, 2021 04 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-33861206
2.
Real world performance of the 21st Century Cures Act population-level application programming interface.
J Am Med Inform Assoc
; 31(5): 1144-1150, 2024 Apr 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-38447593
3.
Cumulus: A federated EHR-based learning system powered by FHIR and AI.
medRxiv
; 2024 Feb 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-38370642
4.
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.
J Am Med Inform Assoc
; 2024 Jun 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-38860521
5.
Discovering medical conditions associated with periodontitis using linked electronic health records.
J Clin Periodontol
; 40(5): 474-82, 2013 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-23495669
6.
Real World Performance of the 21st Century Cures Act Population Level Application Programming Interface.
medRxiv
; 2023 Oct 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37873390
7.
Research data collection methods: from paper to tablet computers.
Med Care
; 50 Suppl: S68-73, 2012 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-22692261
8.
A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data.
Med Care
; 50 Suppl: S49-59, 2012 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-22692259
9.
Better together: Integrating biomedical informatics and healthcare IT operations to create a learning health system during the COVID-19 pandemic.
Learn Health Syst
; 6(2): e10309, 2022 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-35434359
10.
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).
J Am Med Inform Assoc
; 29(8): 1350-1365, 2022 07 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-35357487
11.
Developing real-world evidence from real-world data: Transforming raw data into analytical datasets.
Learn Health Syst
; 6(1): e10293, 2022 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-35036557
12.
Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.
Clin Epidemiol
; 14: 369-384, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35345821
13.
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: Results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C).
medRxiv
; 2021 Jul 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34268525
14.
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers.
J Am Med Inform Assoc
; 28(2): 393-401, 2021 02 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-33260207
15.
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.
J Am Med Inform Assoc
; 28(3): 427-443, 2021 03 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32805036
16.
A Review of Predictive Analytics Solutions for Sepsis Patients.
Appl Clin Inform
; 11(3): 387-398, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-32462640
17.
Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research.
J Am Med Inform Assoc
; 27(1): 109-118, 2020 01 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31592524
18.
Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States.
medRxiv
; 2020 Oct 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-33140068
19.
Potentially inappropriate medication prescribing in outpatient practices: prevalence and patient characteristics based on electronic health records.
Am J Geriatr Pharmacother
; 7(2): 84-92, 2009 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-19447361
20.
Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis.
JMIR Med Inform
; 6(4): e12241, 2018 Nov 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-30401670