Situation:

• ​Psychiatric diagnosis depends on subjective methods like interviews and self-reports.​

• Subtle emotional changes often go undetected.​

• Clinicians face difficulty in early mood disorder detection and differentiating overlapping conditions.

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​Impact​:

• Subjectivity causes challenges in early detection and accurate diagnosis.

• ​Tracking patient progress objectively is difficult.​

• Treatment personalization and outcomes are negatively affected.​

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Solution​:

• Survatra’s Moodmetric AI platform applies sentiment analysis to patient communication data.​Provides objective, continuous emotional insights.​

• Flags sentiment trends to support differential diagnosis.​

• Helps tailor treatment plans, improving diagnostic accuracy and patient care.​