Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital (CODES)
Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Lombardia
-
Vimercate, Lombardia, Italy
- Ospedale di Vimercate
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
All of the patients admitted into the internal medicine departments of the Azienda Ospedaliera di Desio e Vimercate during the study period.
Exclusion Criteria:
None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention
Electronic Health Records with computerised decision support system activated Medilogy Decision Support System (MediDSS)
|
Italian translation of Evidence-Based Medicine electronic Decision Support (EBMeDS), a set of rules (scripts) based on Evidence Based Medicine guidelines and applied to structured health data.
MediDSS further includes knowledge from Swedish, Finnish, INteraction X-referencing (SFINX), a drug-drug interaction database containing concise evidence-based information of about 18,000 drug interactions and adverse events.
MediDSS is integrated with local reminders.
|
|
Other: Control
Electronic Health Records with computerised decision support system silenced Medilogy Decision Support System (MediDSS) silenced
|
Italian translation of Evidence-Based Medicine electronic Decision Support (EBMeDS), a set of rules (scripts) based on Evidence Based Medicine guidelines and applied to structured health data.
MediDSS further includes knowledge from Swedish, Finnish, INteraction X-referencing (SFINX), a drug-drug interaction database containing concise evidence-based information of about 18,000 drug interactions and adverse events.
MediDSS is integrated with local reminders.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Resolution rates
Time Frame: 12 months
|
Rate at which the medical problems, which are detected by the MediDSS software and reported through the reminders, are resolved (resolution rates).
|
12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
in-hospital mortality
Time Frame: 12 months
|
12 months
|
|
length of hospital stay
Time Frame: 12 months
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Pasquale Lorenzo Moja, MD, PhD, Unità di Epidemiologia Clinica, IRCCS Istituto Ortopedico Galeazzi, Milano
Publications and helpful links
General Publications
- Moja L, Kwag KH, Lytras T, Bertizzolo L, Brandt L, Pecoraro V, Rigon G, Vaona A, Ruggiero F, Mangia M, Iorio A, Kunnamo I, Bonovas S. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014 Dec;104(12):e12-22. doi: 10.2105/AJPH.2014.302164. Epub 2014 Oct 16.
- Moja L, Liberati EG, Galuppo L, Gorli M, Maraldi M, Nanni O, Rigon G, Ruggieri P, Ruggiero F, Scaratti G, Vaona A, Kwag KH. Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study. Implement Sci. 2014 Aug 28;9:105. doi: 10.1186/s13012-014-0105-0.
- Liberati EG, Galuppo L, Gorli M, Maraldi M, Ruggiero F, Capobussi M, Banzi R, Kwag K, Scaratti G, Nanni O, Ruggieri P, Polo Friz H, Cimminiello C, Bosio M, Mangia M, Moja L. [Barriers and facilitators to the implementation of computerized decision support systems in Italian hospitals: a grounded theory study]. Recenti Prog Med. 2015 Apr;106(4):180-91. doi: 10.1701/1830.20032. Italian.
- Moja L, Polo Friz H, Capobussi M, Kwag K, Banzi R, Ruggiero F, Gonzalez-Lorenzo M, Liberati EG, Mangia M, Nyberg P, Kunnamo I, Cimminiello C, Vighi G, Grimshaw J, Bonovas S. Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial. Implement Sci. 2016 Jul 7;11(1):89. doi: 10.1186/s13012-016-0455-x.
- Moja L, Polo Friz H, Capobussi M, Kwag K, Banzi R, Ruggiero F, Gonzalez-Lorenzo M, Liberati EG, Mangia M, Nyberg P, Kunnamo I, Cimminiello C, Vighi G, Grimshaw JM, Delgrossi G, Bonovas S. Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes: A Randomized Clinical Trial. JAMA Netw Open. 2019 Dec 2;2(12):e1917094. doi: 10.1001/jamanetworkopen.2019.17094.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- C41J11000110008
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