Huvudbild för Vitalis 2021
Profilbild för Non-wearable sensor technology in elderly care

Non-wearable sensor technology in elderly care

Föreläsare: Per Matsson

Spår: Äldreomsorg / Socialtjänst

Digital health and telemedicine in combination with machine learning can support and predict various medical conditions and problems. Automated trend analysis in elderly care to continuously monitor sleep patterns may gain significant know how regarding medical conditions and progress of disease or deterioration of a person’s condition. Ease of use is a key factor and non-wearable sensors like various bed sensors and room monitoring equipment can capture data to be analyzed for trends of different conditions..Personal integrett and GDPR becomes equally essential when it comes to continous monitoring of a person. An overview of the field and technology, integrity and medical aspects will be reviewed in the seminar.

 

Språk

English

Ämne

Välfärdsteknik

Föreläsningssyfte

Inspiration

Kunskapsnivå

Fördjupning

Målgrupp

Chef/Beslutsfattare, Verksamhetsutveckling, Tekniker/IT/Utvecklare, Omsorgspersonal

Nyckelord

Exempel från verkligheten (goda/dåliga), Nytta/effekt, Kommun, Innovativ/forskning

Föreläsare

Profilbild för Per Matsson

Per Matsson Föreläsare

CoB
Cenvigo

30 years experience of medical diagnostic development working since January 1, 2021 with digital health and wellness. Today I work as scientific and business advisor for different companies and my main tasks are for Cenvigo AB and EITHealth.