Literature DB >> 14663978

Automated spoken dialog system for home care and data acquisition from chronic patients.

Ivano Azzini1, Daniele Falavigna, Toni Giorgino, Roberto Gretter, Silvana Quaglini, Carla Rognoni, Mario Stefanelli.   

Abstract

Recent advances in automatic speech recognition and related technologies allow computers to carry on conversations by telephone. We developed an intelligent dialog system that interacts with hypertensive patients to collect data about their health status. Patients thus avoid the inconvenience of going for frequent visits that monitor some clinical variables they can easily measure at home; the physician is facilitated in acquiring and reviewing patient information and related risk indicators, which are evaluated from the data according to noted guidelines. The system described here is a prototype of future configurable and component-based dialog systems, which may allow a new modality for users and physicians to access electronic health records.

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Year:  2003        PMID: 14663978

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

1.  Telemedicine and diabetes management: current challenges and future research directions.

Authors:  Riccardo Bellazzi
Journal:  J Diabetes Sci Technol       Date:  2008-01

Review 2.  The Personalization of Conversational Agents in Health Care: Systematic Review.

Authors:  Ahmet Baki Kocaballi; Shlomo Berkovsky; Juan C Quiroz; Liliana Laranjo; Huong Ly Tong; Dana Rezazadegan; Agustina Briatore; Enrico Coiera
Journal:  J Med Internet Res       Date:  2019-11-07       Impact factor: 5.428

Review 3.  A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions.

Authors:  Abdullah Bin Sawad; Bhuva Narayan; Ahlam Alnefaie; Ashwaq Maqbool; Indra Mckie; Jemma Smith; Berkan Yuksel; Deepak Puthal; Mukesh Prasad; A Baki Kocaballi
Journal:  Sensors (Basel)       Date:  2022-03-29       Impact factor: 3.576

4.  Conversational agents in healthcare: a systematic review.

Authors:  Liliana Laranjo; Adam G Dunn; Huong Ly Tong; Ahmet Baki Kocaballi; Jessica Chen; Rabia Bashir; Didi Surian; Blanca Gallego; Farah Magrabi; Annie Y S Lau; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2018-09-01       Impact factor: 4.497

  4 in total

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