Biomedical Engineering Reference
In-Depth Information
Exploiting Cloud-Based Personal Health Information
Systems in Practicing Patient Centered Care Model
Juha Puustjärvi 1 and Leena Puustjärvi 2
1 Department of Computer Science, University of Helsinki, P.O. Box 68, Helsinki, Finland
juha.puustjarvi@cs.helsinki.fi
2 The Pharmacy of Kaivopuisto, Neitsytpolku 10, Helsinki, Finland
leena.puustjarvi@kolumbus.fi
Abstract. The introduction of new emerging healthcare models, such as pa-
tient-centered care, pharmaceutical care, and chronic care model, are changing
how people think about health and of patients themselves These healthcare
models need technology solutions that support the co-operation within patient's
healthcare team, provide a platform for sharing patient's healthcare data among
the healthcare team, and provide a mechanism for disseminating relevant educa-
tional material for the patient and the healthcare team. Unfortunately current
health information technology solutions only provide the connection between
patients and healthcare providers, and thus do not support the new emerging
healthcare models. Instead, cloud-based healthcare delivery models will poten-
tially have more impact on developing appropriate technology for the new
healthcare models. In this paper, we describe our work on designing a personal
health information system, which supports patient remote monitoring and the
new emerging healthcare models as well. The key idea is to develop the system
by integrating relevant e-health tools through a shared ontology and to exploit
the flexibility of cloud computing in its implementation. In developing the on-
tology we have used semantic web technologies such as OWL and RDF.
Keywords: Remote patient monitoring, Personal health systems, Healthcare
models, Cloud computing, Semantic web, Ontologies, OWL, RDF.
1
Introduction
Cloud computing represents new way of delivering information technology: anyone
with a suitable Internet connection and a standard browser can access an application
in a cloud. In addition, cloud computing allows for more efficient computing by cen-
tralizing storage, memory, processing and bandwidth.
However, in spite of the widespread adoption of cloud computing by most indus-
tries, the healthcare sector has been rather slow in adopting cloud-based solutions.
Slow adoption in healthcare sector is partially due to concerns about data security and
compliance with key regulations, which defines numerous offenses relating to health
care and sets civil and criminal penalties for them.
Making sure that data security and compliance with key regulations are met, cloud
computing will provide significant benefits to healthcare organizations and help them
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