What is the Impact of Implementing Pharmaceutical Algorithms in the PharmaClass® Software, on the Handling the Patient's Medication Load, by the Clinical Pharmacist?
1 other identifier
observational
109
1 country
1
Brief Summary
The clinical pharmacists present in the hospitalisation units aim to ensure the daily review of the drug prescriptions of hospitalized patients. In order to optimize their work, the objective of this study would be to provide them with a clinical decision support tool via artificial intelligence in order to improve the patient's medication management. This study will test the Pharmaclass® software.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Sep 2021
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 14, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2022
CompletedFirst Submitted
Initial submission to the registry
June 9, 2022
CompletedFirst Posted
Study publicly available on registry
June 14, 2022
CompletedJune 14, 2022
June 1, 2022
7 months
June 9, 2022
June 9, 2022
Conditions
Outcome Measures
Primary Outcomes (4)
Time
Time required to perform an intervention (pharmacist versus software)
5 months
Dosage compliance
Dosage compliance with existing recommendations and laboratory results/clinical parameters (pharmacist versus software)
5 months
Medication error severity
Severity of the medication error that could be avoided (pharmacist versus software)
5 months
Geriatrician approval
Number of interventions validated/refused by the geriatrician (pharmacist versus software)
5 months
Study Arms (1)
Patients of Geriatric Wards SU06 and SU13 of the CHU Brugmann Hospital
Interventions
Clinical decision support tool via artificial intelligence in order to improve the patient's medication management.
Eligibility Criteria
Hospitalized patient entering the SU06 or SU13 geriatrics unit of the Paul Brien site of the CHU Brugmann Hospital between November 16 2021 and April 15, 2022
You may qualify if:
- Hospitalized patient entering the SU06 or SU13 geriatrics unit of the Paul Brien site of the CHU Brugmann Hospital between November 16 2021 and April 15, 2022
- Speaking French and/or Dutch
- With chronic renal failure or taking at least one medicine for diabetes, heart, COPD, asthma, high blood pressure, epilepsy, atrial fibrillation, osteoporosis, high cholesterol, pain, parkinsonism, blood clotting, constipation, thyroid, depression, benign prostatic hypertrophy, gastric ulcer, Alzheimer's disease, cirrhosis as well as for electrolyte disorders (hypo or hypernatremia / potassium / calcium/magnesemia/phosphatemia).
You may not qualify if:
- Patient who died or was transferred to another care unit during his/her hospitalization
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Murielle Surquinlead
Study Sites (1)
Brugmann university hospital
Brussels, 1020, Belgium
Study Officials
- PRINCIPAL INVESTIGATOR
Charline DANNEEL
CHU Brugmann
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Head of Geriatry Department
Study Record Dates
First Submitted
June 9, 2022
First Posted
June 14, 2022
Study Start
September 14, 2021
Primary Completion
April 1, 2022
Study Completion
April 1, 2022
Last Updated
June 14, 2022
Record last verified: 2022-06
Data Sharing
- IPD Sharing
- Will not share