BACKGROUND
A realistic possibility to obtain medical care for patients located in remote sites such as seagoing vessels, in which health professionals are not available, is to contact a doctor via telecommunication systems. In general, the medical knowledge of who on board ships is in charge of medical care is quite limited and therefore, in a first level telemedical consultation, the flow of information should be correct and its efficiency should be maximised. This paper describes an application conceived to improve requests of medical assistance from sailing ships. The ultimate objective of this system is a) to standardise as much as possible the requests of medical advice at a distance, b) to overcome language barriers and jammed-related troubles that could make difficult or not understandable a telephone conversation.
MATERIALS AND METHODS
The application is based on a software engine extracting data from an ontological knowledgebase built ad hoc using Protégé.
RESULTS
Compared to the conventional consultation systems based on telephone and e-mail, the proposed device is more accurate and complete in terms of information contained in the request of assistance. Moreover, data received by the medical centre can be more easily managed, as they can be standardised.
CONCLUSIONS
The system described here allows people responsible of medical care on board ships to forward detailed requests of assistance containing symptom-guided information on patient clinical conditions. This may represent an innovative tool for medical consultations at distance allowing the remote centre to provide more precise and quicker medical advice.
[1]
F. Amenta.
The International Radio Medical Centre (C.I.R.M.): an organization providing free medical assistance to seafarers of any nationality world wide.
,
2000,
International maritime health.
[2]
P. Komesaroff,et al.
Practical aspects of telehealth: doctor–patient relationship and communication
,
2014,
Internal medicine journal.
[3]
Paul N. Schofield,et al.
Improving ontologies by automatic reasoning and evaluation of logical definitions
,
2011,
BMC Bioinformatics.
[4]
Tana M Luger,et al.
Older Adult Experience of Online Diagnosis: Results From a Scenario-Based Think-Aloud Protocol
,
2014,
Journal of medical Internet research.
[5]
Ebrahim Nageba,et al.
A Knowledge Model Driven Solution for Web-Based Telemedicine Applications
,
2009,
MIE.
[6]
W. Goethe.
Medical Care on Ships Without a Doctor — Radio Medical Advice
,
1984
.