Impact of an Artificial Intelligence Platform on Inappropriate Medication Use in Older Adults
NCT ID: NCT04710615
Last Updated: 2024-02-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
200 participants
INTERVENTIONAL
2021-10-05
2024-05-05
Brief Summary
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Detailed Description
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The Synapse platform offers a panel of functions that may help physicians to prescribe medications. For instance, the prescriber can interact with the Synapse platform by asking any type of question about a drug (dosage, contraindication, interaction ...) before prescription. It also allows them to take a picture of prescription. The software detects in less than 10 seconds criteria for inappropriate medication prescriptions and potential drug-drug interactions.
More precisely, the Synapse platform provides information on a particular drug or prescription analysis regarding:
* Indications, contraindications, dosage and adverse effects of drugs.
* STOPP criteria.
* START criteria.
* Associations at risk for drug-drug interactions.
Multiple new health technologies are emerging, but few of them have demonstrated their scientific and medical added value using an evidence-based medicine approach.
This clinical trial aims to validate the clinical interest of the Synapse application in a geriatric environment.
Prescriptions made by geriatricians participating in this study will be analyzed by two independent experts, including one pharmacist and one geriatrician.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Assistance device
With prescription assistance device:
During the other 3 months, investigators will have the Synapse platform on different media (mobile phones, tablets, laptops and landline).
Synapse platform
The Synapse platform made available to health professionals, is a virtual assistant capable of understanding the questions of natural language doctors and providing an answer by specifying the source of information used. This device also allows you to photograph a prescription and analyze it automatically to detect potential drug interactions.
The Synapse platform offers a panel of functions to help the doctor to prescribe medication.
No device
During 3 months, investigators will not have the Synapse platform and will make their prescriptions with the usual tools which they have: Modules of help in the DxCare® software of the CHU, public database of the drugs, dictionary Vidal®, …
No interventions assigned to this group
Interventions
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Synapse platform
The Synapse platform made available to health professionals, is a virtual assistant capable of understanding the questions of natural language doctors and providing an answer by specifying the source of information used. This device also allows you to photograph a prescription and analyze it automatically to detect potential drug interactions.
The Synapse platform offers a panel of functions to help the doctor to prescribe medication.
Eligibility Criteria
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Inclusion Criteria
* Hospitalization in geriatric department at Bordeaux University Hospital or Libourne Hospital
* Initial drug prescription with at least 2 active pharmaceutical ingredients
* Affiliation to French social security
* Written informed consent signed by participant and investigator
Exclusion Criteria
* Subject included in a clinical trial with an experimental treatment
* Subject during exclusion period relative to another trial
65 Years
ALL
No
Sponsors
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University Hospital, Bordeaux
OTHER
Responsible Party
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Principal Investigators
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Pierre-Olivier GIRODET, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Bordeaux
Locations
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CHU de Bordeaux, Hôpital Pellegrin
Bordeaux, , France
CHU de Bordeaux
Bordeaux, , France
Centre Hospitalier de Libourne - Pôle Gériatrie
Libourne, , France
CHU de Bordeaux, Hôpital Xavier Arnozan
Pessac, , France
CHU de Bordeaux, Hôpital Xavier Arnozan
Pessac, , France
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CHUBX 2019/33
Identifier Type: -
Identifier Source: org_study_id
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