Artificial Intelligence (AI)
Conditions
Keywords
Depression, Anxiety, Emergency Department
Brief summary
Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses. These mental health conditions can be due to medical issues or can worsen medical problems. One way investigators hope to do a better job of learning about mental health is by training Artificial Intelligence (AI) software to detect anxiety and depression by analyzing facial expression and tone of voice. Participants are invited to participate in a study which may help improve emergency department care. An audio and video recording of the participant's responses to some simple, non-psychological questions will be analyzed by a computer to determine whether investigators can assess mood and anxiety by analyzing speech and visual patterns. The audio and video will not be listened to nor watched by study personnel, only analyzed by a computer. The investigator's hope is that it will help others in the future by aiding in the assessment of psychological state. This study is being conducted at CMC ED only.
Interventions
DEVICEBiometrics (or AI Biomaker)
Patients will be asked to read a story and their facial expressions and audio cues will be recorded.
Sponsors
University Hospitals Cleveland Medical Center
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Adult patients (age 18 and over) who presents to the UHCMC ED voluntarily with no obvious psychological disturbance by self-report or nurse/provider initial assessment * English-speaking * Patients with non-emergent concerns of Emergency Severity Index (ESI) level 3, 4, or 5
Exclusion criteria
* Prisoners * Patients who are deemed to be critically ill (including life or limb threatening illness) or unable to consent * Non-English Speaking
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percentage of participants who score 5-9 on the PHQ-9 | Baseline | Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score 10-14 on the PHQ-9 | Baseline | Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score 15-19 on the PHQ-9 | Baseline | Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score 20-27 on the PHQ-9 | Baseline | Patient Health Questionnaire (PHQ-9) is a multipurpose instrument for screening, diagnosing, monitoring, and measuring severity of depression. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score 5-9 on the GAD-7 | Baseline | Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score 10-14 on the GAD-7 | Baseline | Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Percentage of participants who score above 15 on the GAD-7 | Baseline | Generalized Anxiety Disorder (GAD-7) is a easy to preform initial screening tool for generalized anxiety disorder. Questions are scored on a Likert scale of 0-3 with 0 being not at all and 3 being nearly every day. |
| Number of participants that AI screened positive for mild depression symptoms. | Baseline | — |
| Number of participants that AI screened positive for moderate depression symptoms. | Baseline | — |
| Number of participants that AI screened positive for moderately severe depression symptoms. | Baseline | — |
| Number of participants that AI screened positive for severe depression screening | Baseline | — |
| Number of participants that AI screened positive for mild anxiety symptoms. | Baseline | — |
| Number of participants that AI screened positive for moderate anxiety symptoms. | Baseline | — |
| Number of participants that AI screened positive for severe anxiety symptoms. | Baseline | — |
Countries
United States
Contacts
CONTACTAndie M Moore, MS
PRINCIPAL_INVESTIGATORKiran Faryar, MD, MPH
University Hospitals
Outcome results
None listed