Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital (CODES)

January 27, 2017 updated by: Istituto Ortopedico Galeazzi

Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital

Computerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care. CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge.

Study Overview

Status

Completed

Conditions

Detailed Description

The investigators designed a pragmatic randomized controlled trial to evaluate the effectiveness of patient-specific, point-of-care reminders on clinical practice and the quality of care. The investigators hypothesize that these reminders can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to hospitalized patients. The results of the investigators study will contribute to the current understanding of the effectiveness of CDSSs in primary care and hospital settings.

Study Type

Interventional

Enrollment (Actual)

6479

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Lombardia
      • Vimercate, Lombardia, Italy
        • Ospedale di Vimercate

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / 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

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

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

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Pasquale Lorenzo Moja, MD, PhD, Unità di Epidemiologia Clinica, IRCCS Istituto Ortopedico Galeazzi, Milano

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2015

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

January 1, 2017

Study Registration Dates

First Submitted

October 14, 2015

First Submitted That Met QC Criteria

October 15, 2015

First Posted (Estimate)

October 16, 2015

Study Record Updates

Last Update Posted (Estimate)

January 30, 2017

Last Update Submitted That Met QC Criteria

January 27, 2017

Last Verified

October 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • C41J11000110008

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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