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Conversational ai with rasa
Conversational ai with rasa









#Conversational ai with rasa software#

Namely, AAL environments already exploit mobile devices, smart home products, software applications, and other wearable devices in the individual’s everyday environment. A perfect example of how patient gathered health data (PGHD) and PROs are able to improve quality of life (QoL) is, e.g., ambient assisted living (AAL). Further, they are also able to improve clinical and patient “satisfaction”. Thus, electronic PROs, supported by artificial intelligence techniques, can further improve dropout and acceptance-rates. Several studies already showed the efficiency of electronic questionnaire apps on, e.g., smartphones. Forms were added to paper-form health records (HRs), and only after the advances of information and communication technologies (ICT), the HRs are slowly being digitalized. Firstly, patient outcomes were collected mostly face to face, using paper-written forms. Nowadays, the knowledge domains of clinical specialties are expanding rapidly, while due to the sheer volume and complexity of data, clinicians often fail to really exploit its potential. Further, PROs have become a complementary data source to telemonitoring, data mining, and imaging-based AI techniques. Therefore, in healthcare, they are also important data sources.

conversational ai with rasa

They are in general collected from patients in order to help address a health concern and represent self-reports from everyday life. An important type of patient-gathered health data (PGHD) represents so-called patient-reported outcomes (PROs).









Conversational ai with rasa