Measure therapeutic alliance, predict trajectories, optimize care delivery, and ensure positive outcomes.
Passively measure a wide range of predictive and informative indicators of patient progression and quality of care by analyzing language -- without the need for patient surveys or questionnaires.
How is Receptiviti used by
digital health platforms?
Collecting data is a key step toward better understanding patients, forecasting likely trajectories, and ensuring the greatest likelihood of positive outcomes. Receptiviti converts unstructured language data into 100+ datapoints that reflect a person's cognitive state, temporal and attentional focus, emotions and more.
Measuring the therapeutic alliance
According to Lambert and Barley (2001), 30% of patient outcomes in psychotherapy can be attributed to the therapeutic alliance and facilitative conditions, such as empathy, warmth, and congruence. Receptiviti measures empathy by evaluating language and psychological synchrony between healthcare providers and patients.
Improving adherence by tailoring communications
By analyzing patient language, Receptiviti uncovers how individuals make decisions and interpret information, and makes it possible for providers to tailor communication with each patient to increase engagement and improve adherence.
Extensively validated science, used in thousands of mental health and therapy-related studies
Receptiviti's models have been constructed and extensively validated by panels of psychologists and have been cited in over 19,000 research studies -- many of which focus on understanding the linguistic fingerprints of mental health, coping, disease, recovery, and treatment delivery. Here's a small sample of the research:
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