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

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

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02577198
Acronym
CODES
Enrollment
6479
Registered
2015-10-16
Start date
2015-11-30
Completion date
2017-01-31
Last updated
2017-01-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Physician's Role

Brief summary

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.

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.

Interventions

OTHERMedilogy 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.

Sponsors

University of Milan
CollaboratorOTHER
I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Resolution rates12 monthsRate at which the medical problems, which are detected by the MediDSS software and reported through the reminders, are resolved (resolution rates).

Secondary

MeasureTime frame
in-hospital mortality12 months
length of hospital stay12 months

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 12, 2026