big data implications for eu healthcare systems€¦ · igor perko [email protected] francesco...
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Big Data implications for
EU healthcare systems
Igor Perko
University of Maribor - Faculty of Economics and Business
Francesco Caputo
University of Salerno - Department of Pharmacy
UKSS Conference: Can systemic thinking reshape health services?
25 June 2018
University of Portmouth - United Kingdom
Igor Perko
Francesco Caputo
Agenda
A brief overview about Big Data Management
Pillars and levers for Big Data in healthcare
Towards a systems based conceptual model
Testing the model
Final remarks
Igor Perko
Francesco Caputo
A brief overview about
Big Data Management
According to the managerial and marketing literature (LaValle et al., 2011; Linoff & Berry,
2011; Chen et al., 2012; McAfee ert al., 2012; Waller & Fawcett, 2013; Caputo et al., 2018):
Big Data may well be the Next Big Thing in the IT world.
Big Data can bring about dramatic cost reductions, substantial improvements in
the time required to perform a computing task, or new product and service
offerings.
Igor Perko
Francesco Caputo
A brief overview about
Big Data Management
“Big data is high volume, high velocity, and/or high variety information assets
that require new forms of processing to enable enhanced decision making,
insight discovery and process optimization”
(Gartner, 2012)
Igor Perko
Francesco Caputo
A brief overview about
Big Data Management
Big Data
“… will change long-standing ideas about the value of experience, the nature of
expertise, and the practice of management.
Smart leaders across industries will see using big data for what it is a management
revolution”
(McAfee et al., 2012: 62)
Igor Perko
Francesco Caputo
A brief overview about
Big Data Management
ACQUIRE – SELECT - PROCESS
Complex of processes and
activities direct to extract data
form social and economic
dynamics
Complex of actions aimed at
identifying useful information
among the multiple one
acquired
Complex of actions direct to
combine filtering data in order
to build ‘new’ information
Igor Perko
Francesco Caputo
A brief overview about
Big Data Management
ACQUIRE – SELECT - PROCESS
Complex of processes and
activities direct to extract data
form social and economic
dynamics
Complex of actions aimed at
identifying useful information
among the multiple one
acquired
Complex of actions direct to
combine filtering data in order
to build ‘new’ information
DATA INFORMATION KNOWLEDGE
Igor Perko
Francesco Caputo
Pillars and levers for Big
Data in healthcare
Decision Support Systems (Peter, 1987; Power, 2002; Arnott & Pervan, 2008)
Analytics and Discovery (Russom, 2011; Gandomi & Haider, 2015; Caputo et al., 2017)
Data Organization (Hand, 2007; Wamba et al., 2015)
Infrastructure (Lin & Ryaboy, 2013; Demchenko et al., 2013; Chen et al., 2014)
Igor Perko
Francesco Caputo
Pillars and levers for Big
Data in healthcare
Processes People
Infrastructures
Infrastructures Processes People Big Data
Igor Perko
Francesco Caputo
Pillars and levers for Big
Data in healthcare
Processes People
Infrastructures
Data &
Resources
Models &
Schemes
Perception &
Feedback
Igor Perko
Francesco Caputo
Towards a systems
based conceptual modelE
ntr
op
y
Information
The knowledge curve(Barile, 2009)
Complexity Complication CertaintyCaos Abduction Deduction Induction
Igor Perko
Francesco Caputo
Towards a systems
based conceptual modelThe knowledge curve
(Barile, 2009)
Are Big Data enough to support health actors in the process from chaos to certainty?
Igor Perko
Francesco Caputo
Towards a systems
based conceptual modelThe knowledge curve
(Barile, 2009)
Big Data ???? ????????
Igor Perko
Francesco Caputo
Towards a systems
based conceptual model
‘Small’ Data
‘Big’ Data
‘Smart’ Data
‘Wise’ Data
The use of data to manage a specific problem
The use of more data to manage interconnected problems
The use of more interconnected data to understand and manage the relationships
among several problems
The use of more interconnected and experienced data to understand and manage
the causes and origin of several problems
Igor Perko
Francesco Caputo
Towards a systems
based conceptual model
Processes People
Infrastructures
Small &
Big Data
Smart
Data
Wise
Data
Igor Perko
Francesco Caputo
Towards a systems
based conceptual model
What is needed for shifting from Small to Big to Smart to Wise Data in health domain?
Igor Perko
Francesco Caputo
Towards a systems based conceptual model - Health
system basic
Igor Perko
Francesco Caputo
Towards a systems based conceptual model - Health
system simple
Igor Perko
Francesco Caputo
Towards a systems based conceptual model - Health
system simple
Igor Perko
Francesco Caputo
People Companie
s
Society
Personal
adviser and
assistant
Successful time
managementLive the life
you dream
about
Tips to live
healthier life
JEAN MONNET
MODULE
Nataša Gaber; Marcel Koren;
Nives Korošec; Vesna
Vrečko
Testing the model
Igor Perko
Francesco Caputo
Testing the model
Take your pill and don’t get ill
HEALTHY LIFE
MEDICINE
PEOPLE
Reminder
Calendar
Product information
Map
Connectivity with other smart devices
Warnings
Report
Notes about side effects
JEAN MONNET
MODULE
Nina Vrba; Urška Leitinger;
Kevin Belšak Timon Štrumpfl
Igor Perko
Francesco Caputo
FOOD SPORT
General information Counting steps
GPS Heart beat Food
informationPictures Historical data
JEAN MONNET
MODULE
Jan Breznar; Ana Kovačič Miklavec;
Urška Jurkovič; Sara Črešnik
Testing the model
Igor Perko
Francesco Caputo
PillExpert
Wisdom of the crowd in the world of pharmacy
Pharmaceutics
users
Luka Lotrič; Aleksander Weingerl;
Aja Helena Zorman
Pharmaceutical
companies
Regulators
JEAN MONNET
MODULE
Testing the model
Igor Perko
Francesco Caputo
Final remarks
Big Data can be considered a disruptive
change in all social and economic domains.
In healthcare domain Big Data can change the
relationship between people, processes, and
infrastructure.
Thanks to the Big Data an effective feedback
process and adaptive framework becomes
possible in healthcare.
What are the problems?
Igor Perko
Francesco Caputo
Final remarks
For using Big Data in correct way in the healthcare domain a holistic view about
all the involved actors and a systems representation about their relationships
is required.
Big Data cannot be considered enough for improving the effectiveness in
healthcare management. They must be organized trough effective interpretation
schemes (Smart Data), integrated in the light of subjective perspective and
feedback activities (Wise Data).
Igor Perko
Francesco Caputo
Essential references
Arnott, D., & Pervan, G. (2008). Eight key issues for the decision support systems discipline. Decision Support Systems, 44(3), 657-672.
Caputo, F., Walletzky, L., & Štepánek, P. (2018). Towards a systems thinking based view for the governance of a smart city’s ecosystem: A
bridge to link Smart Technologies and Big Data. Kybernetes.
Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.
Information Sciences, 275, 314-347.
Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact. MIS quarterly, 1165-1188.
Demchenko, Y., Grosso, P., De Laat, C., & Membrey, P. (2013, May). Addressing big data issues in scientific data infrastructure. In
Collaboration Technologies and Systems (CTS), 2013 International Conference on (pp. 48-55). IEEE.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information
Management, 35(2), 137-144.
Hand, D. J. (2007). Principles of data mining. Drug safety, 30(7), 621-622.
LaValle, S., Lesser, E., Shockley, R., Hopkins, M. S., & Kruschwitz, N. (2011). Big data, analytics and the path from insights to value. MIT
sloan management review, 52(2), 21.
Lin, J., & Ryaboy, D. (2013). Scaling big data mining infrastructure: the twitter experience. ACM SIGKDD Explorations Newsletter, 14(2),
6-19.
Igor Perko
Francesco Caputo
Essential references
Linoff, G. S., & Berry, M. J. (2011). Data mining techniques: for marketing, sales, and customer relationship management. John Wiley &
Sons.
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data: the management revolution. Harvard business
review, 90(10), 60-68.
Peter, G. W. (1987). Decision support systems: the next decade. Decision Support Systems, 3, 253-265.
Power, D. J. (2002). Decision support systems: concepts and resources for managers. Greenwood Publishing Group.
Russom, P. (2011). Big data analytics. TDWI best practices report, fourth quarter, 19(4), 1-34.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design
and management. Journal of Business Logistics, 34(2), 77-84.
Wamba, S. F., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’can make big impact: Findings from a systematic
review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.
Big Data implications
for EU healthcare systems
Igor Perko
University of Maribor - Faculty of Economics and Business
Francesco Caputo
University of Salerno - Department of Pharmacy
UKSS Conference: Can systemic thinking reshape health services?
25 June 2018
University of Portmouth - United Kingdom
Thank you for your attention, questions, and suggestions