Alain Giordanengo

Bio

Alain is currently doing a Ph.D. in computer science, where he focuses on addressing barriers of acceptance regarding the integration of self-collected health data by patients into medical consultations. The project involves the usage of Artificial Intelligence techniques to extract and interpret relevant information from multiple data sources. In addition, Alain is a Full Stack developer and has experience in front-end, back-end, databases and mobile technologies.

Alain Giordanengo

Tel: +47 917 15 718

Title: PhD Candidate

Department: Personal E-health


Alain's projects

Project title Year Theme Project management
Tailoring Type 2 Diabetes Self-Management 2014 - 2017 Citizen services
Eirik Årsand
Full Flow of Health Data Between Patients and Health Care Systems 2016 - 2019 Innbyggertjenester
Eirik Årsand

Alain's publications in Cristin

Title Year Category
Goal-setting and patterns of app use: Selected results from the "Tailoring type 2 diabetes self-management" RCT. 2019 FOREDRAG
What can be learned by analyzing patient-gathered data from self-management diabetes app 2019 FOREDRAG
What can be learned by analyzing patient-gathered data from a self-management diabetes app 2019 TIDSSKRIFTPUBL
Design and development of a context-aware knowledge-based module for identifying relevant information and information gaps in patients with type 1 diabetes self-collected health data 2018 TIDSSKRIFTPUBL
Design better together: Co-design workshop protocol to develop an m-diabetes data sharing system between patients and clinicians 2018 FOREDRAG
Stepwise treatment concept proposed for an m-health enabled diabetes intervention 2018 FOREDRAG
Stepwise treatment concept proposed for an m-health enabled diabetes intervention 2018 TIDSSKRIFTPUBL
A FHIR-based data flow enabling patients to share self-collected data with the Norwegian national healthcare systems and electronic health record systems 2018 FOREDRAG
A FHIR-based data flow enabling patients to share self-collected data with the Norwegian national healthcare systems and electronic health record systems 2018 TIDSSKRIFTPUBL
EXPERIENCE FROM USING A DYNAMIC STUDY MANAGEMENT SERVICE FOR AN MHEALTH DIABETES TYPE 2 RCT 2018 FOREDRAG
EXPERIENCE FROM USING A DYNAMIC STUDY MANAGEMENT SERVICE FOR AN MHEALTH DIABETES TYPE 2 RCT 2018 TIDSSKRIFTPUBL
Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review 2017 TIDSSKRIFTPUBL
EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes 2017 FOREDRAG
EDMON - A Wireless Communication Platform for a Real-Time Infectious Disease Outbreak Detection System Using Self-Recorded Data from People with Type 1 Diabetes 2017 TIDSSKRIFTPUBL
Warning: the Do-It-Yourself (DIY) wave will drastically change diabetes care 2016 FOREDRAG
Systems integrating self-collected health data by patients into EHRs and medical systems: a State-of-the-art review 2017 FOREDRAG
THE NEED FOR UPDATED EVALUATION APPROACHES FOR EHEALTH AND MHEALTH INTERVENTIONS – A DYNAMIC CONCEPT FOR MORE EFFICIENT TRIALS 2017 FOREDRAG
THE NEED FOR UPDATED EVALUATION APPROACHES FOR EHEALTH AND MHEALTH INTERVENTIONS – A DYNAMIC CONCEPT FOR MORE EFFICIENT TRIALS 2017 TIDSSKRIFTPUBL
Integrating data from apps, wearables and personal Electronic Health Record (pEHR) systems with clinicians’ Electronic Health Records (EHR) systems 2016 FOREDRAG
The opportunity to evaluate the impact of our changing health care system through archetypes and reinforced use of medical coding 2016 FOREDRAG
The opportunity to evaluate the impact of our changing health care system through archetypes and reinforced use of medical coding 2016 TIDSSKRIFTPUBL
Integrating data from apps, wearables and personal Electronic Health Record (pEHR) systems with clinicians’ Electronic Health Records (EHR) systems 2016 TIDSSKRIFTPUBL
Warning: the Do-It-Yourself (DIY) wave will drastically change diabetes care! 2016 TIDSSKRIFTPUBL
System for enabling clinicians to relate to a mobile health app: Preliminary results of the Norwegian trial in the EU FI-STAR project 2016 TIDSSKRIFTPUBL
THE NEED TO TAILOR MOBILE PHONE-BASED DIABETES SELF-MANAGEMENT TOOLS 2016 FOREDRAG
Utilizing technology and alternative approaches for displaying vital information and creating engagement for children and adolescents with diabetes 2016 FOREDRAG
Utilizing technology and alternative approaches for displaying vital information and creating engagement for children and adolescents with diabetes 2016 TIDSSKRIFTPUBL
CallMeSmart: A VoIP Softphone on Android Based Mobile Devices using SIP 2013 FOREDRAG
CallMeSmart Becoming Ubiquitous and Self-learning 2015 FOREDRAG
CallMeSmart: Location tracking using BLE beacons 2015 FOREDRAG
Communication Pattern Regarding Alarms and Patient Signals Between Nurses, Other Health Care Actors, Patients and Devices 2015 TIDSSKRIFTPUBL
CallMeSmart: Location tracking using BLE beacons 2015 BOKRAPPORTDEL
CallMeSmart becoming ubiquious and self-learning 2015 BOKRAPPORTDEL
CallMeSmart: A VoIP Softphone on Android Based Mobile Devices Using SIP 2013 BOKRAPPORTDEL