147 related articles for article (PubMed ID: 34636733)
1. Common Data Elements for Meaningful Stroke Documentation in Routine Care and Clinical Research: Retrospective Data Analysis.
Berenspöhler S; Minnerup J; Dugas M; Varghese J
JMIR Med Inform; 2021 Oct; 9(10):e27396. PubMed ID: 34636733
[TBL] [Abstract][Full Text] [Related]
2. Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System-Based Semantic Analysis and Experts' Review.
Holz C; Kessler T; Dugas M; Varghese J
JMIR Med Inform; 2019 Aug; 7(3):e13554. PubMed ID: 31407666
[TBL] [Abstract][Full Text] [Related]
3. Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System.
Kentgen M; Varghese J; Samol A; Waltenberger J; Dugas M
JMIR Med Inform; 2019 Aug; 7(3):e14107. PubMed ID: 31444871
[TBL] [Abstract][Full Text] [Related]
4. Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.
Hegselmann S; Storck M; Gessner S; Neuhaus P; Varghese J; Bruland P; Meidt A; Mertens C; Riepenhausen S; Baier S; Stöcker B; Henke J; Schmidt CO; Dugas M
BMC Med Inform Decis Mak; 2021 May; 21(1):160. PubMed ID: 34001121
[TBL] [Abstract][Full Text] [Related]
5. The need for harmonized structured documentation and chances of secondary use - results of a systematic analysis with automated form comparison for prostate and breast cancer.
Krumm R; Semjonow A; Tio J; Duhme H; Bürkle T; Haier J; Dugas M; Breil B
J Biomed Inform; 2014 Oct; 51():86-99. PubMed ID: 24747879
[TBL] [Abstract][Full Text] [Related]
6. How has the impact of 'care pathway technologies' on service integration in stroke care been measured and what is the strength of the evidence to support their effectiveness in this respect?
Allen D; Rixson L
Int J Evid Based Healthc; 2008 Mar; 6(1):78-110. PubMed ID: 21631815
[TBL] [Abstract][Full Text] [Related]
7. Key Data Elements in Myeloid Leukemia.
Varghese J; Holz C; Neuhaus P; Bernardi M; Boehm A; Ganser A; Gore S; Heaney M; Hochhaus A; Hofmann WK; Krug U; Müller-Tidow C; Smith A; Weltermann A; de Witte T; Hehlmann R; Dugas M
Stud Health Technol Inform; 2016; 228():282-6. PubMed ID: 27577388
[TBL] [Abstract][Full Text] [Related]
8. Automated UMLS-based comparison of medical forms.
Dugas M; Fritz F; Krumm R; Breil B
PLoS One; 2013; 8(7):e67883. PubMed ID: 23861827
[TBL] [Abstract][Full Text] [Related]
9. The NCI All Ireland Cancer Conference.
Johnston PG; Daly PA; Liu E
Oncologist; 1999; 4(4):275-277. PubMed ID: 10545862
[TBL] [Abstract][Full Text] [Related]
10. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
11. EMR-integrated minimal core dataset for routine health care and multiple research settings: A case study for neuroinflammatory demyelinating diseases.
von Martial S; Brix TJ; Klotz L; Neuhaus P; Berger K; Warnke C; Meuth SG; Wiendl H; Dugas M
PLoS One; 2019; 14(10):e0223886. PubMed ID: 31613917
[TBL] [Abstract][Full Text] [Related]
12. The Effectiveness of Integrated Care Pathways for Adults and Children in Health Care Settings: A Systematic Review.
Allen D; Gillen E; Rixson L
JBI Libr Syst Rev; 2009; 7(3):80-129. PubMed ID: 27820426
[TBL] [Abstract][Full Text] [Related]
13. Critical Care Network in the State of Qatar.
Hijjeh M; Al Shaikh L; Alinier G; Selwood D; Malmstrom F; Hassan IF
Qatar Med J; 2019; 2019(2):2. PubMed ID: 31763205
[TBL] [Abstract][Full Text] [Related]
14. Integrating clinical research with the Healthcare Enterprise: from the RE-USE project to the EHR4CR platform.
El Fadly A; Rance B; Lucas N; Mead C; Chatellier G; Lastic PY; Jaulent MC; Daniel C
J Biomed Inform; 2011 Dec; 44 Suppl 1():S94-S102. PubMed ID: 21888989
[TBL] [Abstract][Full Text] [Related]
15. Information Models Offer Value to Standardize Electronic Health Record Flowsheet Data: A Fall Prevention Exemplar.
Lytle KS; Westra BL; Whittenburg L; Adams M; Akre M; Ali S; Furukawa M; Hartleben S; Hook M; Johnson SG; Settergren TT; Thibodeaux M
J Nurs Scholarsh; 2021 May; 53(3):306-314. PubMed ID: 33720514
[TBL] [Abstract][Full Text] [Related]
16. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
17. ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.
Storck M; Krumm R; Dugas M
PLoS One; 2016; 11(10):e0164569. PubMed ID: 27736972
[TBL] [Abstract][Full Text] [Related]
18. Standardized quality assurance forms for organ transplantations with multilingual support, open access and UMLS coding.
Varghese J; Sünninghausen SS; Dugas M
Stud Health Technol Inform; 2015; 212():15-22. PubMed ID: 26063252
[TBL] [Abstract][Full Text] [Related]
19. Frequency analysis of medical concepts in clinical trials and their coverage in MeSH and SNOMED-CT.
Varghese J; Dugas M
Methods Inf Med; 2015; 54(1):83-92. PubMed ID: 25346408
[TBL] [Abstract][Full Text] [Related]
20. Interoperability in clinical research: from metadata registries to semantically annotated CDISC ODM.
Bruland P; Breil B; Fritz F; Dugas M
Stud Health Technol Inform; 2012; 180():564-8. PubMed ID: 22874254
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
