184 related articles for article (PubMed ID: 21685604)
1. PSIP: an overview of the results and clinical implications.
Beuscart R
Stud Health Technol Inform; 2011; 166():3-12. PubMed ID: 21685604
[TBL] [Abstract][Full Text] [Related]
2. Three different cases of exploiting decision support services for adverse drug event prevention.
Bernonille S; Nies J; Pedersen HG; Guillot B; Maazi M; Berg AL; Sarfati JC; Koutkias V
Stud Health Technol Inform; 2011; 166():180-8. PubMed ID: 21685623
[TBL] [Abstract][Full Text] [Related]
3. The ADE scorecards: a tool for adverse drug event detection in electronic health records.
Chazard E; Băceanu A; Ferret L; Ficheur G
Stud Health Technol Inform; 2011; 166():169-79. PubMed ID: 21685622
[TBL] [Abstract][Full Text] [Related]
4. Validation of completeness, correctness, relevance and understandability of the PSIP CDSS for medication safety.
Ammenwerth E; Hackl WO; Massari P; Darmoni S
Stud Health Technol Inform; 2011; 166():254-9. PubMed ID: 21685631
[TBL] [Abstract][Full Text] [Related]
5. Information contextualization in decision support modules for adverse drug event prevention.
Nies J; Koutkias V; Kilintzis V; Guillot B; Maglaveras N; Pedersen HG; Berg AL; Skjoet P
Stud Health Technol Inform; 2011; 166():95-104. PubMed ID: 21685615
[TBL] [Abstract][Full Text] [Related]
6. Medication related computerized decision support system (CDSS): make it a clinicians' partner!
Marcilly R; Leroy N; Luyckx M; Pelayo S; Riccioli C; Beuscart-Zéphir MC
Stud Health Technol Inform; 2011; 166():84-94. PubMed ID: 21685614
[TBL] [Abstract][Full Text] [Related]
7. Data mining to generate adverse drug events detection rules.
Chazard E; Ficheur G; Bernonville S; Luyckx M; Beuscart R
IEEE Trans Inf Technol Biomed; 2011 Nov; 15(6):823-30. PubMed ID: 21859604
[TBL] [Abstract][Full Text] [Related]
8. Adverse drug events prevention rules: multi-site evaluation of rules from various sources.
Chazard E; Ficheur G; Merlin B; Serrot E; ; Beuscart R
Stud Health Technol Inform; 2009; 148():102-11. PubMed ID: 19745240
[TBL] [Abstract][Full Text] [Related]
9. Detection of adverse drug events detection: data aggregation and data mining.
Chazard E; Ficheur G; Merlin B; Genin M; Preda C; ; Beuscart R
Stud Health Technol Inform; 2009; 148():75-84. PubMed ID: 19745237
[TBL] [Abstract][Full Text] [Related]
10. Patient safety through intelligent procedures in medication: the PSIP project.
Beuscart R; McNair P; Brender J;
Stud Health Technol Inform; 2009; 148():6-13. PubMed ID: 19745230
[TBL] [Abstract][Full Text] [Related]
11. Toward automatic detection and prevention of adverse drug events.
Leroy N; Chazard E; Beuscart R; Beuscart-Zephir MC;
Stud Health Technol Inform; 2009; 143():30-5. PubMed ID: 19380911
[TBL] [Abstract][Full Text] [Related]
12. A knowledge engineering framework towards clinical support for adverse drug event prevention: the PSIP approach.
Koutkias V; Stalidis G; Chouvarda I; Lazou K; Kilintzis V; Maglaveras N
Stud Health Technol Inform; 2009; 148():131-41. PubMed ID: 19745243
[TBL] [Abstract][Full Text] [Related]
13. Implementation of a taxonomy aiming to support the design of a contextualised clinical decision support system.
Bernonville S; Marcilly R; Messai R; Leroy N; Przewozny E; Souf N; Beuscart-Zéphir MC
Stud Health Technol Inform; 2011; 166():74-83. PubMed ID: 21685613
[TBL] [Abstract][Full Text] [Related]
14. The PSIP approach to account for human factors in Adverse Drug Events: preliminary field studies.
Riccioli C; Leroy N; Pelayo S
Stud Health Technol Inform; 2009; 148():197-205. PubMed ID: 19745251
[TBL] [Abstract][Full Text] [Related]
15. Can F-MTI semantic-mined drug codes be used for adverse drug events detection when no CPOE is available?
Merlin B; Chazard E; Pereira S; Serrot E; Sakji S; Beuscart R; Darmoni S
Stud Health Technol Inform; 2010; 160(Pt 2):1025-9. PubMed ID: 20841839
[TBL] [Abstract][Full Text] [Related]
16. Scorecards: a new method to prevent adverse drug events? Preliminary results from a clinical field study.
Marcilly R; Hackl WO; Luyckx M; Ammenwerth E
Stud Health Technol Inform; 2011; 166():234-45. PubMed ID: 21685629
[TBL] [Abstract][Full Text] [Related]
17. High rates of adverse drug events in a highly computerized hospital.
Nebeker JR; Hoffman JM; Weir CR; Bennett CL; Hurdle JF
Arch Intern Med; 2005 May; 165(10):1111-6. PubMed ID: 15911723
[TBL] [Abstract][Full Text] [Related]
18. Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.
Ranji SR; Rennke S; Wachter RM
BMJ Qual Saf; 2014 Sep; 23(9):773-80. PubMed ID: 24728888
[TBL] [Abstract][Full Text] [Related]
19. Impact evaluation of innovative technology: estimating the impact of the PSIP solutions.
Ammenwerth E; Hackl WO; Jensen S; Lawton K; Riedmann D; Jung M
Stud Health Technol Inform; 2011; 166():227-33. PubMed ID: 21685628
[TBL] [Abstract][Full Text] [Related]
20. Data-mining-based detection of adverse drug events.
Chazard E; Preda C; Merlin B; Ficheur G; ; Beuscart R
Stud Health Technol Inform; 2009; 150():552-6. PubMed ID: 19745372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
