Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD)

Tor-Morten Grønli, Andreas Biørn-Hansen, Siri Fagernes, Ragnhild Eg Eg, Kjeld S. Hansen, Per Morten Fredriksen

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

In 2017, health expenditure in Norway amounted to 10,4 percent of GDP, and it increases by approx. 0,3 percent annually. Medical treatment and rehabilitation include treatment in hospitals, medical services, dental services, etc., and about half of Norway's health expenses are related to these services. In total, 97 percent of the budget is spent on treating disorders and support functions. Despite studies have shown that the greatest effect on health is within preventive health, only 3 percent of the Norwegian health expenses is used for that purpose. Computer-based technology is used to measure a large amount of health-related information as activity level, heartrate, sleep rhythms, eating habits, exercise habits and emotions. These large amounts of data collected by patients are available in electronic recording equipment and social media but are not shared with the physician or other healthcare professionals – in fact establishing a data shadow. The volume of data is massive, and health personnel do not know how to break the data down to sensible and usable information. This research project is founded in this perspective of preventive health and synthesizes available personal health information by utilizing commodity mobile and wearable hardware to gain a comprehensive insight into the health data shadow of an individual. This is further used to give individuals a fact-based awareness of own health and make informed choices, showcased through a persuasive technologies experiment, and secondly by a built prototype solution upon which health workers and medical doctors can be provided with a comprehensive, unfiltered data foundation to base diagnoses, treatment and council upon. Our major contribution is a proof of concept implementation and leveraging state of the art cloud based function as a service approach to build a scalable software architecture for a ubiquitous and heterogeneous environment harvesting the data shadow through activity tracking devices.
Original languageEnglish
Title of host publicationProceedings Norsk Informatikkonferanse. NIK 2019
EditorsArne Lakså, Knut Collin
Number of pages12
Place of PublicationTromsø
PublisherUiT
Publication date2019
Publication statusPublished - 2019
EventNorsk Informatikkonferanse 2019: NIK-2019 - Norges Arktiske Universitet, Narvik, Norway
Duration: 25 Nov 201927 Nov 2019
https://nik.no/nik-2019/

Conference

ConferenceNorsk Informatikkonferanse 2019
LocationNorges Arktiske Universitet
CountryNorway
CityNarvik
Period25/11/201927/11/2019
Internet address
SeriesNorsk Informatikkonferanse
Volume2019
ISSN1892-0713

Cite this

Grønli, T-M., Biørn-Hansen, A., Fagernes, S., Eg, R. E., Hansen, K. S., & Fredriksen, P. M. (2019). Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD). In A. Lakså, & K. Collin (Eds.), Proceedings Norsk Informatikkonferanse. NIK 2019 Tromsø: UiT. Norsk Informatikkonferanse, Vol.. 2019
Grønli, Tor-Morten ; Biørn-Hansen, Andreas ; Fagernes, Siri ; Eg, Ragnhild Eg ; Hansen, Kjeld S. ; Fredriksen, Per Morten . / Unveiling the Data Shadow : A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD). Proceedings Norsk Informatikkonferanse. NIK 2019. editor / Arne Lakså ; Knut Collin. Tromsø : UiT, 2019. (Norsk Informatikkonferanse, Vol. 2019).
@inbook{53363b6b056a4de9840bfac889a4ad12,
title = "Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD)",
abstract = "In 2017, health expenditure in Norway amounted to 10,4 percent of GDP, and it increases by approx. 0,3 percent annually. Medical treatment and rehabilitation include treatment in hospitals, medical services, dental services, etc., and about half of Norway's health expenses are related to these services. In total, 97 percent of the budget is spent on treating disorders and support functions. Despite studies have shown that the greatest effect on health is within preventive health, only 3 percent of the Norwegian health expenses is used for that purpose. Computer-based technology is used to measure a large amount of health-related information as activity level, heartrate, sleep rhythms, eating habits, exercise habits and emotions. These large amounts of data collected by patients are available in electronic recording equipment and social media but are not shared with the physician or other healthcare professionals – in fact establishing a data shadow. The volume of data is massive, and health personnel do not know how to break the data down to sensible and usable information. This research project is founded in this perspective of preventive health and synthesizes available personal health information by utilizing commodity mobile and wearable hardware to gain a comprehensive insight into the health data shadow of an individual. This is further used to give individuals a fact-based awareness of own health and make informed choices, showcased through a persuasive technologies experiment, and secondly by a built prototype solution upon which health workers and medical doctors can be provided with a comprehensive, unfiltered data foundation to base diagnoses, treatment and council upon. Our major contribution is a proof of concept implementation and leveraging state of the art cloud based function as a service approach to build a scalable software architecture for a ubiquitous and heterogeneous environment harvesting the data shadow through activity tracking devices.",
author = "Tor-Morten Gr{\o}nli and Andreas Bi{\o}rn-Hansen and Siri Fagernes and Eg, {Ragnhild Eg} and Hansen, {Kjeld S.} and Fredriksen, {Per Morten}",
year = "2019",
language = "English",
series = "Norsk Informatikkonferanse",
editor = "Arne Laks{\aa} and Knut Collin",
booktitle = "Proceedings Norsk Informatikkonferanse. NIK 2019",
publisher = "UiT",
address = "Norway",

}

Grønli, T-M, Biørn-Hansen, A, Fagernes, S, Eg, RE, Hansen, KS & Fredriksen, PM 2019, Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD). in A Lakså & K Collin (eds), Proceedings Norsk Informatikkonferanse. NIK 2019. UiT, Tromsø, Norsk Informatikkonferanse, vol. 2019, Narvik, Norway, 25/11/2019.

Unveiling the Data Shadow : A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD). / Grønli, Tor-Morten; Biørn-Hansen, Andreas ; Fagernes, Siri ; Eg, Ragnhild Eg; Hansen, Kjeld S.; Fredriksen, Per Morten .

Proceedings Norsk Informatikkonferanse. NIK 2019. ed. / Arne Lakså; Knut Collin. Tromsø : UiT, 2019. (Norsk Informatikkonferanse, Vol. 2019).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

TY - CHAP

T1 - Unveiling the Data Shadow

T2 - A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD)

AU - Grønli, Tor-Morten

AU - Biørn-Hansen, Andreas

AU - Fagernes, Siri

AU - Eg, Ragnhild Eg

AU - Hansen, Kjeld S.

AU - Fredriksen, Per Morten

PY - 2019

Y1 - 2019

N2 - In 2017, health expenditure in Norway amounted to 10,4 percent of GDP, and it increases by approx. 0,3 percent annually. Medical treatment and rehabilitation include treatment in hospitals, medical services, dental services, etc., and about half of Norway's health expenses are related to these services. In total, 97 percent of the budget is spent on treating disorders and support functions. Despite studies have shown that the greatest effect on health is within preventive health, only 3 percent of the Norwegian health expenses is used for that purpose. Computer-based technology is used to measure a large amount of health-related information as activity level, heartrate, sleep rhythms, eating habits, exercise habits and emotions. These large amounts of data collected by patients are available in electronic recording equipment and social media but are not shared with the physician or other healthcare professionals – in fact establishing a data shadow. The volume of data is massive, and health personnel do not know how to break the data down to sensible and usable information. This research project is founded in this perspective of preventive health and synthesizes available personal health information by utilizing commodity mobile and wearable hardware to gain a comprehensive insight into the health data shadow of an individual. This is further used to give individuals a fact-based awareness of own health and make informed choices, showcased through a persuasive technologies experiment, and secondly by a built prototype solution upon which health workers and medical doctors can be provided with a comprehensive, unfiltered data foundation to base diagnoses, treatment and council upon. Our major contribution is a proof of concept implementation and leveraging state of the art cloud based function as a service approach to build a scalable software architecture for a ubiquitous and heterogeneous environment harvesting the data shadow through activity tracking devices.

AB - In 2017, health expenditure in Norway amounted to 10,4 percent of GDP, and it increases by approx. 0,3 percent annually. Medical treatment and rehabilitation include treatment in hospitals, medical services, dental services, etc., and about half of Norway's health expenses are related to these services. In total, 97 percent of the budget is spent on treating disorders and support functions. Despite studies have shown that the greatest effect on health is within preventive health, only 3 percent of the Norwegian health expenses is used for that purpose. Computer-based technology is used to measure a large amount of health-related information as activity level, heartrate, sleep rhythms, eating habits, exercise habits and emotions. These large amounts of data collected by patients are available in electronic recording equipment and social media but are not shared with the physician or other healthcare professionals – in fact establishing a data shadow. The volume of data is massive, and health personnel do not know how to break the data down to sensible and usable information. This research project is founded in this perspective of preventive health and synthesizes available personal health information by utilizing commodity mobile and wearable hardware to gain a comprehensive insight into the health data shadow of an individual. This is further used to give individuals a fact-based awareness of own health and make informed choices, showcased through a persuasive technologies experiment, and secondly by a built prototype solution upon which health workers and medical doctors can be provided with a comprehensive, unfiltered data foundation to base diagnoses, treatment and council upon. Our major contribution is a proof of concept implementation and leveraging state of the art cloud based function as a service approach to build a scalable software architecture for a ubiquitous and heterogeneous environment harvesting the data shadow through activity tracking devices.

M3 - Book chapter

T3 - Norsk Informatikkonferanse

BT - Proceedings Norsk Informatikkonferanse. NIK 2019

A2 - Lakså, Arne

A2 - Collin, Knut

PB - UiT

CY - Tromsø

ER -

Grønli T-M, Biørn-Hansen A, Fagernes S, Eg RE, Hansen KS, Fredriksen PM. Unveiling the Data Shadow: A Scalable Software Architecture for Public Health and Electronically Assessed Data (PHEAD). In Lakså A, Collin K, editors, Proceedings Norsk Informatikkonferanse. NIK 2019. Tromsø: UiT. 2019. (Norsk Informatikkonferanse, Vol. 2019).