Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial
Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient...
Ausführliche Beschreibung
Autor*in: |
Moja, Lorenzo [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Anmerkung: |
© The Author(s). 2016 |
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Übergeordnetes Werk: |
Enthalten in: Implementation science - London : BioMed Central, 2006, 11(2016), 1 vom: 25. Nov. |
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Übergeordnetes Werk: |
volume:11 ; year:2016 ; number:1 ; day:25 ; month:11 |
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DOI / URN: |
10.1186/s13012-016-0514-3 |
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Katalog-ID: |
SPR029525799 |
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520 | |a Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 | ||
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650 | 4 | |a Electronic health records |7 (dpeaa)DE-He213 | |
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650 | 4 | |a Evidence-based medicine |7 (dpeaa)DE-He213 | |
650 | 4 | |a Pragmatic trial |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Passardi, Alessandro |4 aut | |
700 | 1 | |a Capobussi, Matteo |4 aut | |
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700 | 1 | |a Kwag, Koren |4 aut | |
700 | 1 | |a Liberati, Elisa Giulia |4 aut | |
700 | 1 | |a Mangia, Massimo |4 aut | |
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700 | 1 | |a González-Lorenzo, Marien |4 aut | |
700 | 1 | |a Bertizzolo, Lorenzo |4 aut | |
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700 | 1 | |a Grimshaw, Jeremy |4 aut | |
700 | 1 | |a Bonovas, Stefanos |4 aut | |
700 | 1 | |a Nanni, Oriana |4 aut | |
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10.1186/s13012-016-0514-3 doi (DE-627)SPR029525799 (SPR)s13012-016-0514-3-e DE-627 ger DE-627 rakwb eng Moja, Lorenzo verfasserin (orcid)0000-0001-6680-6507 aut Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Passardi, Alessandro aut Capobussi, Matteo aut Banzi, Rita aut Ruggiero, Francesca aut Kwag, Koren aut Liberati, Elisa Giulia aut Mangia, Massimo aut Kunnamo, Ilkka aut Cinquini, Michela aut Vespignani, Roberto aut Colamartini, Americo aut Di Iorio, Valentina aut Massa, Ilaria aut González-Lorenzo, Marien aut Bertizzolo, Lorenzo aut Nyberg, Peter aut Grimshaw, Jeremy aut Bonovas, Stefanos aut Nanni, Oriana aut Enthalten in Implementation science London : BioMed Central, 2006 11(2016), 1 vom: 25. Nov. (DE-627)509006191 (DE-600)2225822-X 1748-5908 nnns volume:11 year:2016 number:1 day:25 month:11 https://dx.doi.org/10.1186/s13012-016-0514-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2016 1 25 11 |
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10.1186/s13012-016-0514-3 doi (DE-627)SPR029525799 (SPR)s13012-016-0514-3-e DE-627 ger DE-627 rakwb eng Moja, Lorenzo verfasserin (orcid)0000-0001-6680-6507 aut Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Passardi, Alessandro aut Capobussi, Matteo aut Banzi, Rita aut Ruggiero, Francesca aut Kwag, Koren aut Liberati, Elisa Giulia aut Mangia, Massimo aut Kunnamo, Ilkka aut Cinquini, Michela aut Vespignani, Roberto aut Colamartini, Americo aut Di Iorio, Valentina aut Massa, Ilaria aut González-Lorenzo, Marien aut Bertizzolo, Lorenzo aut Nyberg, Peter aut Grimshaw, Jeremy aut Bonovas, Stefanos aut Nanni, Oriana aut Enthalten in Implementation science London : BioMed Central, 2006 11(2016), 1 vom: 25. Nov. (DE-627)509006191 (DE-600)2225822-X 1748-5908 nnns volume:11 year:2016 number:1 day:25 month:11 https://dx.doi.org/10.1186/s13012-016-0514-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2016 1 25 11 |
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10.1186/s13012-016-0514-3 doi (DE-627)SPR029525799 (SPR)s13012-016-0514-3-e DE-627 ger DE-627 rakwb eng Moja, Lorenzo verfasserin (orcid)0000-0001-6680-6507 aut Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Passardi, Alessandro aut Capobussi, Matteo aut Banzi, Rita aut Ruggiero, Francesca aut Kwag, Koren aut Liberati, Elisa Giulia aut Mangia, Massimo aut Kunnamo, Ilkka aut Cinquini, Michela aut Vespignani, Roberto aut Colamartini, Americo aut Di Iorio, Valentina aut Massa, Ilaria aut González-Lorenzo, Marien aut Bertizzolo, Lorenzo aut Nyberg, Peter aut Grimshaw, Jeremy aut Bonovas, Stefanos aut Nanni, Oriana aut Enthalten in Implementation science London : BioMed Central, 2006 11(2016), 1 vom: 25. Nov. (DE-627)509006191 (DE-600)2225822-X 1748-5908 nnns volume:11 year:2016 number:1 day:25 month:11 https://dx.doi.org/10.1186/s13012-016-0514-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2016 1 25 11 |
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10.1186/s13012-016-0514-3 doi (DE-627)SPR029525799 (SPR)s13012-016-0514-3-e DE-627 ger DE-627 rakwb eng Moja, Lorenzo verfasserin (orcid)0000-0001-6680-6507 aut Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Passardi, Alessandro aut Capobussi, Matteo aut Banzi, Rita aut Ruggiero, Francesca aut Kwag, Koren aut Liberati, Elisa Giulia aut Mangia, Massimo aut Kunnamo, Ilkka aut Cinquini, Michela aut Vespignani, Roberto aut Colamartini, Americo aut Di Iorio, Valentina aut Massa, Ilaria aut González-Lorenzo, Marien aut Bertizzolo, Lorenzo aut Nyberg, Peter aut Grimshaw, Jeremy aut Bonovas, Stefanos aut Nanni, Oriana aut Enthalten in Implementation science London : BioMed Central, 2006 11(2016), 1 vom: 25. Nov. (DE-627)509006191 (DE-600)2225822-X 1748-5908 nnns volume:11 year:2016 number:1 day:25 month:11 https://dx.doi.org/10.1186/s13012-016-0514-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2016 1 25 11 |
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10.1186/s13012-016-0514-3 doi (DE-627)SPR029525799 (SPR)s13012-016-0514-3-e DE-627 ger DE-627 rakwb eng Moja, Lorenzo verfasserin (orcid)0000-0001-6680-6507 aut Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 Passardi, Alessandro aut Capobussi, Matteo aut Banzi, Rita aut Ruggiero, Francesca aut Kwag, Koren aut Liberati, Elisa Giulia aut Mangia, Massimo aut Kunnamo, Ilkka aut Cinquini, Michela aut Vespignani, Roberto aut Colamartini, Americo aut Di Iorio, Valentina aut Massa, Ilaria aut González-Lorenzo, Marien aut Bertizzolo, Lorenzo aut Nyberg, Peter aut Grimshaw, Jeremy aut Bonovas, Stefanos aut Nanni, Oriana aut Enthalten in Implementation science London : BioMed Central, 2006 11(2016), 1 vom: 25. Nov. (DE-627)509006191 (DE-600)2225822-X 1748-5908 nnns volume:11 year:2016 number:1 day:25 month:11 https://dx.doi.org/10.1186/s13012-016-0514-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2016 1 25 11 |
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Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial Computerized decision support systems (dpeaa)DE-He213 Electronic health records (dpeaa)DE-He213 Electronic patient records (dpeaa)DE-He213 Evidence-based medicine (dpeaa)DE-He213 Pragmatic trial (dpeaa)DE-He213 Randomized controlled trial (dpeaa)DE-He213 Reminder systems (dpeaa)DE-He213 Oncology (dpeaa)DE-He213 |
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Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial |
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Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial |
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Moja, Lorenzo Passardi, Alessandro Capobussi, Matteo Banzi, Rita Ruggiero, Francesca Kwag, Koren Liberati, Elisa Giulia Mangia, Massimo Kunnamo, Ilkka Cinquini, Michela Vespignani, Roberto Colamartini, Americo Di Iorio, Valentina Massa, Ilaria González-Lorenzo, Marien Bertizzolo, Lorenzo Nyberg, Peter Grimshaw, Jeremy Bonovas, Stefanos Nanni, Oriana |
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implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the onco-codes study protocol for a randomized controlled trial |
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Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial |
abstract |
Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 © The Author(s). 2016 |
abstractGer |
Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 © The Author(s). 2016 |
abstract_unstemmed |
Background Computerized decision support systems (CDSSs) are computer programs that provide doctors with person-specific, actionable recommendations, or management options that are intelligently filtered or presented at appropriate times to enhance health care. CDSSs might be integrated with patient electronic health records (EHRs) and evidence-based knowledge. Methods/Design The Computerized DEcision Support in ONCOlogy (ONCO-CODES) trial is a pragmatic, parallel group, randomized controlled study with 1:1 allocation ratio. The trial is designed to evaluate the effectiveness on clinical practice and quality of care of a multi-specialty collection of patient-specific reminders generated by a CDSS in the IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) hospital. We hypothesize that the intervention can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to cancer patients. The primary outcome is the rate at which the issues reported by the reminders are resolved, aggregating specialty and primary care reminders. We will include all the patients admitted to hospital services. All analyses will follow the intention-to-treat principle. Discussion The results of our study will contribute to the current understanding of the effectiveness of CDSSs in cancer hospitals, thereby informing healthcare policy about the potential role of CDSS use. Furthermore, the study will inform whether CDSS may facilitate the integration of primary care in cancer settings, known to be usually limited. The increasing use of and familiarity with advanced technology among new generations of physicians may support integrated approaches to be tested in pragmatic studies determining the optimal interface between primary and oncology care. Trial registration ClinicalTrials.gov, NCT02645357 © The Author(s). 2016 |
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Implementing an evidence-based computerized decision support system linked to electronic health records to improve care for cancer patients: the ONCO-CODES study protocol for a randomized controlled trial |
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Passardi, Alessandro Capobussi, Matteo Banzi, Rita Ruggiero, Francesca Kwag, Koren Liberati, Elisa Giulia Mangia, Massimo Kunnamo, Ilkka Cinquini, Michela Vespignani, Roberto Colamartini, Americo Di Iorio, Valentina Massa, Ilaria González-Lorenzo, Marien Bertizzolo, Lorenzo Nyberg, Peter Grimshaw, Jeremy Bonovas, Stefanos Nanni, Oriana |
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