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Feasibility and Functionality Test of Ada's DDSS Prototype

Feasibility and Functionality Test of Ada's DDSS Prototype, Exploring the Potential and Performance When Diagnosing Complex Cases of Dyspnea at the Emergency Department and Ward of Interna! Medicine of the University Hospital Basel

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04827342
Acronym
Ada4dyspnoe
Enrollment
20
Registered
2021-04-01
Start date
2020-05-06
Completion date
2020-08-07
Last updated
2021-04-01

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

Conditions

Dyspnea

Keywords

Ada DDSS prototype, Diagnostic Decision Support System (DDSS)

Brief summary

This study is to explore with a feasibility and functionality test the potential of the Ada DDSS prototype with cases of dyspnea patients using the data collected at the Emergency Department (ED) and the ward of Internal medicine of the University Hospital Basel.

Detailed description

This is an observational i.e. non-interventional, prospective feasibility study, which assesses, through observation, the potential, functionality and diagnostic performance of the Ada DDSS prototype in evaluating patients presenting with dyspnea as primary predominant complaint to the ED. Once the consent form is signed, the Investigator documents patients' data, medical history, symptoms and findings with the Ada DDSS prototype. During the entire patient journey through the hospital (presentation at the ED through to admission in the ward of Internal Medicine) relevant information are collected and documented in the Ada DDSS prototype simultaneously to standard documentation by the medical staff. Examination and treatment are carried out by the attending physician without being influenced or affected by the entry of data in the Ada DDSS prototype. There is no intervention/change made to the usual care, and therefore neither an intervention patient group nor a control patient group. The usual care that each patient receives is the control comparison point for the performance of the Ada DDSS. The diagnoses proposed by the tool at different times (after triage in the emergency centre, when transferred to the ward and when discharged from the hospital) are then compared with those of the attending physician.

Interventions

OTHERdata collection in the Ada DDSS prototype

Entry of patients' data (medical history, symptoms and findings) in the Ada DDSS prototype. The tool then automatically creates a list of possible diagnostic suggestions based on the information, which are compared with the diagnoses of the attending physician.

Sponsors

Ada Health GmbH
CollaboratorINDUSTRY
University Hospital, Basel, Switzerland
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Dyspnea as the main symptom when entering the emergency room * Existence of written consent * The patient is able to speak, understand and read German or English.

Exclusion criteria

* Inability or unwillingness to understand and comply with study procedures due to: * Language problems * Acute mental disorders * Dementia * Clinical instability (e..B. resuscitation treatment, non-invasive ventilation, etc.)

Design outcomes

Primary

MeasureTime frameDescription
Feasibility of the Ada DDSS prototypeduring hospital stay (presentation at the ED through to admission in the ward of Internal Medicine, in the average 1 week)Feasibility of the Ada DDSS prototype simultaneously to standard documentation by the medical staff.
Subjectively perceived benefit from using the Ada DDSS prototypeduring hospital stay (presentation at the ED through to admission in the ward of Internal Medicine, in the average 1 week)Subjectively perceived benefit from using the Ada DDSS prototype (during patient journey in the hospital) assessed by a physician.

Countries

Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 13, 2026