Capturing person-specific self-reported subjective experiences as behavioral predictors
US11776668B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 3, 2020 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | May 30, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/04847
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Disclosed methodologies provide improved predictors of patient treatment adherence by using person-specific subjective experience and social-environmental factors. Methodologies combine emotion and data sciences. Advanced tools capture, measure, store, and analyze self-report of subjective experiences using digital applications and platforms. Patient-specific data is obtained regarding emotional or affective determinants and social determinants for generating a calculated composite score of the patient's probability of adherence or achievement relative to target outcomes, e.g. adherence to treatment plans, wellness activities, etc. for a subject individual. Internal/subjective factors are judged by self-report measures designed to validly judge tested factors based on a patient adjusting continuously-variable graphical interfaces to capture and measure subjective experiences. Emotional characteristics may include perception and intensity in each category of sickness versus wellness, stress, depression, anxiety, pain, and feelings about most recent health provider/staff interaction (with determined intensity for choices of Delighted, Satisfied, Meh, Disappointed, Frustrated). Emotio…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.