A mood diary for depression shared between client and therapist.
"But too few of us would know how to respond if we saw someone having a panic attack.."
Most of us would know how to help if we saw someone having a heart attack—we’d start CPR, or at the very least, call an ambulance. But too few of us would know howto respond if we saw someone having a panic attack or if we were concerned that a friend or co-worker might be showing signs of depression, alcoholism or drug abuse.
"Mental Health First Aid takes the fear and hesitation out of starting conversations"
Mental Health First Aid takes the fear and hesitation out of starting conversations about mental health and substance use problems by improving understanding and providing an action plan that teaches people to safely and responsibly identify and address a potential mental illness or substance use disorder.
"Kenya Mental Health First Aiders can even save lives."
When more people are equipped with the tools, they need to start a dialogue, more people can get to the help they may need. Kenya Mental Health First Aiders can even save lives.
"Trackmood is a scientifically based mood diary for clinical depression that could be shared between client and therapist. "
Trackmood is a scientifically based mood diary for clinical depression that could be shared between client and therapist. Trackmood uses a PHQ-9 questionnaire to evaluate depression severity throughout the day and machine learning to predict depression cycles. Get a better overview of the client moods by the hour, sleep patterns and activity levels. Make better decisions for treatment plans, medication and preparations for therapy sessions.
The client tracks mood, sleep patterns, activity level and more (customizable) through mobile app using PHQ-9 equivalent questionnaire.
The client could see how mood, sleep and activity changes through simple graphs. Machine learning predicts depressive cycles.
The therapist could access the same insights to see how the client is doing and prepare for sessions.
Adjust treatment, therapy sessions or medication to prevent relapses, self-harm behavior by early intervention.
Predict depressive episodes and prevent relapses by early intervention.
- machine learning predicts depressive episodes
- notifies support network or welfare team if client is showing signs of suicidality
- provides actionable advice to prevent relapses
Insights into how client mood changes by the hour,
activity levels, sleep patterns and much more.
Trackmood is GDPR compliant.
All client users are externally hashed, completely anonymous.
Therapist database is isolated requires 2FA and BuyPass login.
All data is encrypted on devices and in cloud with quantum-proof AES-256-FCM.
Trackmood uses PHQ-9 and machine learning to predicts depressive episodes.
PHQ-9 is an instrument given to patients to screen for the presence and severity of depression.
A few clicks a day, and that's it!
The client gets reminders if they miss out.
Professor Olav Hanssensvei 7A
+47 900 17 588
© Trackmood® Llc. All rights reserved 2020