Primary Care Psychophysiological Assessments: The community feedback period for this idea began on 10/24/19 and ended on 12/23/19

What is the problem that needs to be addressed? Please describe how it is related to mental health.
Primary care physicians and specialty physicians do not have the tools and training to provide a comprehensive mental health assessment on their patients.

Why is this a concern for Orange County? What can Orange County and other counties learn from this project?
Mental health assessments are not routinely given in primary care and this has resulted in missed diagnosis and misdiagnosis of patients. This project will demonstrate how mental health assessments can be routinely provided at primary care so the right diagnosis is made and the right treatment is provided.

What is currently being done to resolve this problem in our county and throughout the United States? If applicable: Is it working; why or why not?
Beginning this year Medicare, Medicaid and insurance companies implemented new CPT codes that reimburse for performing mental health assessments. It is too early to tell how effective this new initiative will be, but the ability for primary care physicians to get paid will drive adoption.

What is new or different about this project idea? Please describe how this differs from what is already being done (Question 6). Please list any research that was done on this topic.
Quality Care Metrics is taking mental health assessment to a whole new level. Our solution integrates item response theory, computer adaptive testing, affective computing and the patient’s EHR data. As a patient completes a set of specific questionnaires on a tablet device during intake, their facial micro-expressions and facial blood flow are recorded by the tablet’s camera. That dataset and the patient’s medical history from the EHR are analyzed with machine learning algorithms to provide a comprehensive psychophysiological assessment. That information is used to create an intuitive easy-to-use dashboard that identifies areas of concern, potential gaps in care and delivers augmented intelligence for clinical decision support. A HIPAA compliant data lake in the cloud protected with blockchain cybersecurity will retain this data. On-going patient monitoring and analytics with accumulated population data will help ensure data quality and aid to continually improve outcomes.

Today, a set of mental health questionnaires are provided to the patient to make the assessment.


Impact of depression on response to comedy: A dynamic facial coding analysis.
LI Reed, MA Sayette, JF Cohn – Journal of abnormal psychology, 2007 –
… PsycINFO. Cohn, JF, & Ekman, P. (2005). Measuring facial action by manual coding, facial EMG,
and automatic facial image analysis … Looking at facial expressions: Dysphoria and facial EMG …
Illusion and well-being: A social psychological perspective on mental health …

Designing a framework for assisting depression severity assessment from facial image analysis
A Pampouchidou, K Marias, M Tsiknakis… – … on Signal and …, 2015 –
… ICSIPA) Designing a Framework for Assisting Depression Severity Assessment
from Facial Image Analysis A … fr Abstract—Depression is one of the most common
mental disorders affecting millions of people worldwide …

Computational study of psychosis symptoms and facial expressions
S Vijay, T Baltrušaitis, L Pennant… – … and Mental Health …, 2016 –
… Facial ex- pressions can reveal information about a person’s emotions, mental state and social
intentions, and is routinely used by both patients and their doctors in a variety of … In our work we
demonstrate how automated tools of facial expression analysis can help in …

Facial emotion discrimination: II. Behavioral findings in depression
RC Gur, RJ Erwin, RE Gur, AS Zwil, C Heimberg… – Psychiatry …, 1992 – Elsevier
… DSM-III-R: Diagnostic and Statistical Manual of Mental Disorders … Archives of General Psychiatry,
4561-57 1, 196 1. Cohen, J. Statistical Power Analysis for the Behavioral Sciences … Facial emotion
discrimination: I. Task construction and behavioral findings in normal subjects …

What is the project idea? Please describe how this project will operate.
The project would be to implement the mental health facial analysis software medical device into clinical practice. Once implemented, patients will be routinely assessed and monitored over time. Treatment plan effectiveness will be measured to demonstrate impact on patient outcomes.

Quality Care Metrics has the resources to integrate and support the medical device into clinics.

Additional Information:
Facial analysis is the blood test for mental health.


October 9, 2019

1 comment

Thank you for your submission. The Innovation team will review this idea and post comments and updates when available.

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