Using geographical information systems for management of back-pain data

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2002 MCB UP LtdIn the medical world, statistical visualisation has largely been confined to the realm of relatively simple geographical applications. This remains the case, even though hospitals have been collecting spatial data relating to patients. In particular, hospitals have a wealth of back pain information, which includes pain drawings, usually detailing the spatial distribution and type of pain suffered by back-pain patients. Proposes several technological solutions, which permit data within back-pain datasets to be digitally linked to the pain drawings in order to provide methods of computer-based data management and analysis. In particular, proposes the use of geographical information systems (GIS), up till now a tool used mainly in the geographic and cartographic domains, to provide novel and powerful ways of visualising and managing back-pain data. A comparative evaluation of the proposed solutions shows that, although adding complexity and cost, the GIS-based solution is the one most appropriate for visualisation and analysis of back-pain datasets

The Framework Catalogue of Digital Competences

The Framework Catalogue of Digital Competences Justyna Jasiewicz, Mirosław Filiciak, Anna Mierzecka, Kamil Śliwowski, Andrzej Klimczuk, Małgorzata Kisilowska, Alek Tarkowski & Jacek Zadrożny Centrum Cyfrowe Projekt: Polska (2015

Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care

Medical Informatics (MI) and Bioinformatics (BI) are two interdisciplinary areas located at the intersection between computer science and medicine and biology, respectively. Historically, they have been separated and only occasionally have researchers of both disciplines collaborated. The completion of the Human Genome Project has brought about in this post genomic era the need for a synergy of these two disciplines to further advance in the study of diseases by correlating essential genotypic information with expressed phenotypic information. Biomedical Informatics (BMI) is the emerging technology that aims to put these two worlds together in the new rising genomic medicine. In this regard, institutions such as the European Commission have recently launched several initiatives to support a new combined research agenda, based on the potential for synergism of both disciplines. In this paper we review the results the BIOINFOMED study one of these projects funded by the E

Mining of patient data: towards better treatment strategies for depression

An intelligent system based on data-mining technologies that can be used to assist in the prevention and treatment of depression is described. The system integrates three different kinds of patient data as well as the data describing mental health of therapists and their interaction with the patients. The system allows for the different data to be analysed in a conjoint manner using both traditional data-mining techniques and tree-mining techniques. Interesting patterns can emerge in this way to explain various processes and dynamics involved in the onset, treatment and management of depression, and help practitioners develop better prevention and treatment strategies

Collaboration through Patient Data Access and sharing in the cloud

(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.There have been many socio-political and technological developments in the area of Electronic Patient Records (EPR). The technological aspects include EPR implemented using Online Transaction Processing (OTP) using Internet and Internet based systems, more recently via Cloud- Based systems (CBS) exploiting Cloud Service Models (CSM). Additionally, there are many socio-political considerations comprising: (1) political moves, including UK Government policy, which aims to deliver for patients 27/7 online access to their patient record, (2) considerations around ethical issues and informed permission and acceptance by the public and non-governmental organizations (NGO), (3) technological considerations about identification of suitable CBS and data structures in distributed systems characterized by unstructured data and, finally (4) sharing and collaboration as means of increasing efficiency, security, privacy, etc. In all, the aim is to provide professionals in medical domain with advanced platforms to not only access but also most importantly to share and collaborate at a wide scale level (e.g. National level). Addressing these aspects of EPR requires collaboration between all stakeholders in EPR, this paper considers these and concludes that such collaboration is essential if EPR are ever to become a reality.Peer ReviewedPostprint (author's final draft