The Implementation of Artificial Intelligence Applications for Enhancing Prehospital Emergency Care.
Conditions
Interventions
Intervention 1: Intervention group: Patients who have used the artificial intelligence application. Intervention 2: Control group: Group receiving routine treatment.
Sponsors
Ahvaz University of Medical Sciences
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: All patients who are transported to the hospital by emergency medical technicians (EMTs).
Exclusion criteria
Exclusion criteria: Patients who refuse to be transported to the hospital. Patients who receive outpatient (on-site) treatment at the scene of the incident. Patients who do not have a temporary admission record created in the emergency department. Patients who leave the emergency department against medical advice before the final assessment by the emergency physician. Patients who have died prior to the arrival of emergency medical services.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Glasgow Outcome Scale (GOS)The Glasgow Outcome Scale (GOS) is a standardized clinical tool for assessing the final outcomes of patients following severe injuries, particularly traumatic brain injuries. Timepoint: Condition from initial assessment until the patient is handed over to the medical facility. Method of measurement: It classifies outcomes into five levels:Death, in which the patient succumbs to the injury.Persistent vegetative state, in which the patient is awake but lacks awareness and the ability to interact with the environment.Severe disability, in which the patient is alive and conscious but entirely dependent on others for daily activities.Moderate disability, in which the patient is capable of performing personal activities but encounters difficulties with more complex tasks or returning to previous employment.Good recovery, in which the patient returns to a level of functioning that is either normal or close to normal, with the ability to live independently.;*Clinical Assessment Tool: MEWS [2]*This tool uses vital signs to help the early identification of patients at risk of clinical deterioration. Timepoint: Condition from initial assessment until the patient is handed over to the medical facility. Method of measurement: The main parameters in the Early Warning Score (EWS) are heart rate (pulse), systolic blood pressure, respiratory rate per minute, body temperature, level of consciousness (AVPU: Alert, Voice, Pain, Unresponsive), and oxygen saturation (SpO2).Scoring is done as follows: for each parameter, a score from 0 to 3 is assigned based on deviation from the normal range. A score of 0 indicates a normal condition, while a score of 3 indicates high risk and critical status. The total score is calculated to assess the overall risk for the patient.*Interpretation of the final MEWS score is as follows:** *0–2 points:* The patient is considered low risk and requires only routine care and regular monitoring.* *3–4 points:* Indicates moderate risk | — |
Countries
Iran (Islamic Republic of)
Contacts
Public ContactMehrnaz ahmadi
Ahvaz University of Medical Sciences
Outcome results
None listed