Biases in communication makes patients disengage from care, leading to no shows and early dropout from treatment. Emotivo's platform can help identify patterns of where providers have not addressed patient concerns.
Systematic collection and analysis of data from patient communication and encounters can help identify and address these biases. Emotivo has secure local audio analysis to maintain patient privacy.
Bring your own additional data for NLP analysis, such as calls with family members and caregivers to gain a holistic view on patient concerns and gaps in social needs.
Compare by location, age, race, ethnicity, social risk factors, and other demographics to pinpoint opportunities for change process, language, and training. Customize by importing your patient risk stratification.
Don't make the mistake of ignoring biases. Take charge by getting in touch today to learn how your organization can benefit.
• Provider-patient rapport metric
• No show and early dropout risk calculation
• Social needs with suggested referrals
• Suggested Z Codes for charting for SDOH
• 6 Behavioral Health HEDIS measures
