Study of a Prototype Software to Help Surgical Patients Manage Their Pain Medication
MORPHEE 2
Evaluation of the Feasibility of an Expert Decision Support System for Patients Regarding the Optimization of the Management of Drugs With Conditional Administration in the Surgical Department: Pilot Study
1 other identifier
interventional
37
1 country
1
Brief Summary
The experimental medical device is a prototype software. The device comes in the form of a smartphone with a touch interface. The smartphone used to support the software is a commercial smartphone marked CE. The study aims at assessing the feasibility of the use of this expert, patient- decision support systems. The study hypothesis is that the clinical use of the experimental device is feasible.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Feb 2023
Shorter than P25 for not_applicable
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
First Submitted
Initial submission to the registry
January 12, 2023
CompletedFirst Posted
Study publicly available on registry
January 31, 2023
CompletedStudy Start
First participant enrolled
February 13, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 28, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
July 4, 2023
CompletedResults Posted
Study results publicly available
April 14, 2026
CompletedApril 14, 2026
March 1, 2026
5 months
January 12, 2023
November 14, 2025
April 10, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Rate of Agreement Between the Recommendations of the INSAMED Computer Tool and the Recommendations Made by a Healthcare Professional From the Research Team Based on the Best Practice Algorithm.
Recommendation pairs were analyzed in this Outcome Measure for the number of recommendation pairs that matched recommendations between the INSAMED Computer Tool and the Healthcare Professional, The recommendations of the INSAMED computer tool will be collected by extracting the history from the digital interface (commercial smartphone) hosting the expert system. The recommendations established by a caregiver from the research team based on a best practice algorithm will be determined: After receiving the device activation message, a caregiver (registered nurse) from the research team will establish a recommendation based on the medical algorithm for treating the symptom, medical prescriptions and the patient's interview without consulting INSAMED. The response provided by the nurse in charge of the patient is not used as the gold standard because, in practice, the responses provided may differ from the medical ideal (e.g. unavailability of staff or non-compliance with the care plan).
Day 2 post operative
Study Arms (1)
prototype software
EXPERIMENTALInterventions
The experimental medical device is a prototype software. It is a patient interface. The device comes in the form of a smartphone with a touch screen
Eligibility Criteria
You may qualify if:
- Male or Female 18 years or older (no upper age limit)
- Operated within a surgical department of of the Hautepierre University Hospitals of Strasbourg
- Patient understanding and reading French
- Subject neurosensorially able of interacting with a tactile electronical interface
- Subject able to understand research objectives, risks and provide dated and signed informed consent
- Subject covered by a health insurance scheme
You may not qualify if:
- Patient with neuropsychiatric or sensory disorders that may interfere with their use of the visual interface
- Unable to provide informed information (subject in emergency, difficulty understanding the subject, etc.)
- Pregnant or lactating woman (on declaration)
- Patient under safeguard of justice, under guardianship, under curatorship
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hôpitaux Universitaires de Strasbourg
Strasbourg, 67000, France
Related Publications (1)
Noll E, Noll-Burgin M, Bonnomet F, Reiter-Schatz A, Gourieux B, Bennett-Guerrero E, Goetsch T, Meyer N, Pottecher J. Knowledge-based, computerized, patient clinical decision support system for perioperative pain, nausea and constipation management: a clinical feasibility study. J Clin Monit Comput. 2024 Aug;38(4):907-913. doi: 10.1007/s10877-024-01148-z. Epub 2024 Apr 12.
PMID: 38609723RESULT
Limitations and Caveats
Perioperative care is characterized by the introduction of multiple symptom-specific treatments for pain, PONV and constipation in a period of patients' physical and psychological vulnerability \[6, 20, 21\]. These symptomspecific treatments are multimodal and frequently include systemic and "on-demand", pharmacological and nonpharmacological therapies \[6, 21\]. Moreover, some of these symptom-specific therapies may simultaneously ease some symptoms and trigger clinical adverse events.
Results Point of Contact
- Title
- Eric Noll
- Organization
- Hôpitaux Universitaires de Strasbourg (HUS)/ Strasbourg University Hospital
Study Officials
- PRINCIPAL INVESTIGATOR
Eric NOLL, MD
Hôpitaux Universitaires de Strasbourg
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DEVICE FEASIBILITY
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 12, 2023
First Posted
January 31, 2023
Study Start
February 13, 2023
Primary Completion
June 28, 2023
Study Completion
July 4, 2023
Last Updated
April 14, 2026
Results First Posted
April 14, 2026
Record last verified: 2026-03