Most Elderly "Own" A Mobile Device But Often Cannot Use It
Many elderly own a mobile device, but evidence shows they have issues using the latest technology, and tend to use Mobile Devices to read webpages, send and recieve calls and use SMS (more here
). Time To Call You
uses advanced Machine Learning (ML) and Artificial Intelligence (AI) with traditional Voice and SMS to create "personalised" & "intelligent" services to meet Care Provider needs. By regular contact and data collection, it is possible to track and measure the mental wellbeing & overall wellness of an individual using established and proven measuring techniques. The article below shows just one example how "telephonic" assessment gave exceptional results when measuring cognitive health in elderly clients.
ARTICLE: Assessment of cognitive status in the elderly using telephone interviews:
From January to December 2003, 740 participants of the ongoing Heidelberg longitudinal study (HeiDE) aged 70 years or more were eligible for a telephone interview on cognitive status. Validated instruments to assess cognitive status, including the Telephone Interview of Cognitive Status (TICS) and the East Boston Memory Test (EBMT, immediate and delayed recall), the Verbal Fluency Test, the HAWIE-"Vocabulary Test" and the HAWIE-"General Knowledge", a prospective memory test, and a digit span backwards-test were translated into German, if applicable.
Out of 740 participants at the age of 70 or older, 473 participants were interviewed (64.9%). The total score of the TICS (maximum=best: 41) ranged from 21 to 40 (mean 33.5, SD 3.1; median 34.0). The EBMT scores (immediate recall; maximum=best: 12) ranged from 4 to 12 (mean 9.2, SD 1.7; median 9.0).
Cognitive status could be successfully assessed by telephone interview in elderly participants of an ongoing population-based cohort study. Specifically, some of the tests showed pronounced variability allowing cross-sectional analyses whereas others seem more valuable for longitudinal assessment.
TO A CASE STUDY FOR ELDERLY
TO A CASE STUDY FOR AUTISTIC STUDENTS
Why We Are Different
Time To Call You
uses a blend of advanced Machine Learning (ML) and Voice/SMS automation to compliment existing human care and monitoring which delivers:
- Consistent delivery of services - nothing fogotten
- Single view of client to all parties eg carer, support teams, GP, etc
- Regular planned and scheduled delivery of assessments
- Fast changes to schedules
- Regular science-based measuring
- Procative alerting when anomalies and defined conditions are identified
- Eliminates human error
- Provides non-emotionally influenced services
- Provides safe, private and secure space for cleints
- Reports only data agreed with cleint
- Different data reports for different audiences
Free Up Valuable Staff Time
Free up your valuable staff to perform "care" and not "admin" tasks by using Time To Call You services for telephone and SMS for general follow-up, surveys & questionnaires.