TY  - EJOU
AU  - 
T1  - Empirical and Practical Implementation Methodology for Clinical Integration of E-Health Iot Technology
T2  - International Journal of Medical and Health Sciences Research

PY  - 2016
VL  - 3
IS  - 12
SN  - 2313-2752

AB  - This paper structures empirical and practical implementation 
methodologies for clinical integration of eHealth IoT smart device 
technology embedded in Cloud service architecture. The results and 
findings of this two-year research program are summarized from 
mathematical, system architectural and software engineering perspective.
 The research takes place in the European Union, in Hungary. The program
 is the manifestation of the trilateral industry-university 
collaboration of the University of Debrecen Faculty of Informatics, 
T-Systems Healthcare Competence Center Central and Eastern Europe and 
Semmelweis University 2nd Pediatric Clinic Department of Pulmonology. 
The paper presents the mathematical model for the system architecture 
optimization. Selected system-architectural solution plans are mapped 
into directed graphs and converted into adjacency and availability 
matrices for optimization. Adequate technologies are collected and 
identified for the research based on industry megatrends. The experiment
 establishes multidirectional interoperability among eHealth smart 
devices, telemedicine instruments and clinical information systems. The 
Open Telemedicine Interoperability Hub, interoperability core module, 
was developed and embedded into Cloud service architecture. This module 
transposes and transmits the captured bio-sensory data stream from the 
eHealth IoT smart-devices and from the telemedicine instrument into the 
clinical information system. Dominant international healthcare 
interoperability standards are reviewed and selected for the research. 
The research program defined different interoperability levels and 
mapped these against the open systems interconnection model layers. The 
international interoperability standard, Health Level Seven, was 
selected for the research. The research explicitly tested 
interoperability among eHealth consumer electronic sensor-enabled 
smart-device, spirometer telemedicine instrument and cloud-based 
hospital information test system.  The research proved that universal 
interoperability between IoT eHealth smart devices and clinical 
information system technology is from technical perspective absolutely 
possible. The paper describes the lessons learned, drawbacks and 
achievements of this research program. An insight is also given into the
 forthcoming research phase.
KW  - Biosensor technology
KW  - eHealth
KW  - Telemedicine
KW  - Hospital information system
KW  - HL7
KW  - Internet of things.
DO  - 10.18488/journal.9/2016.3.12/9.12.117.125