T-ITB publishes basic and applied papers dealing with subjects within the wide spectrum of information technology applications in health, healthcare and biomedicine. Papers must contain original information technology content, defined as development, theoretical analysis, critical evaluation/validation of a new system, and/or model pertinent to healthcare, medicine or biology. Articles describing ethical and legal issues, including safety and security, of implemented systems, and educational issues will also be considered, provided that they represent innovations impacting the application of information technology in biomedicine. Articles that contain original and significant results but do not meet this criterion would not be suitable for publication in T-ITB. In order to guarantee quality control as mandated per IEEE policy on standards for publications, the review and editorial handling of manuscripts is an integral part of the paper submission process.
In the health and healthcare domains T-ITB papers may deal with IT applications and their integration. The applications include clinical information systems, systems such as decision support systems and computer assisted or remotely guided diagnostic and therapeutic procedures based on e.g., virtual reality, applications and technologies for collaboration of healthcare providers (telemedicine), home healthcare (hospital without walls), disease management, eHealth, and health and wellness management. The integration aspects may range from functional and semantic interoperability, clinical guidelines and pathways, protocol-based care, and evidence-based medicine, architectures and middleware to hardware and software security aspects and privacy of confidential patient data.
In the field of biomedicine T-ITB covers IT tools and methods (including GRID computing applications) to improve our understanding and knowledge of biological systems, such as bioinformatics, tools for protein sequencing and proteomics, computational biology, biocomplexity and modeling of the physiological system.
- pervasive healthcare, wellness management utilising, e.g., ubiquitous computing, smart environments, embedded and wearable sensors,
- electronic health record, interoperability, connectivity, semantics, syntax, vocabulary, terminology, ontologies, standards, EBM, clinical guidelines / pathways, protocols,
- regional and community health information networks, hospital information systems and clinical information systems, including PACS and disease management systems,
- wireless communication and mobility, PDA's, anytime anywhere access to information,
- human computer interfacing and usability engineering,
- collaborative technologies in health care delivery, including telemedicine,
- intelligent interpretation of health data, decision support systems, computer assisted, remote guidance and virtual reality applications in diagnostic and therapeutic procedures,
- visualisation and biomedical imaging technologies,
- privacy, security, trust, PKI, smart card technology,
- architectures, component based approaches based on e.g. UML and MDA,
- Internet, semantic web, peer-to-peer computing, W3C in biomedical applications,
- GRID computing in biomedicine,
- bioinformatics, e.g. database structures & 3-D modelling, pattern matching, algorithms (neural, intelligent, …), proteomics and microarray technologies,
- systems biology, computational biology, including e.g. organ level modelling and visualisation activities like physiome and beating heart.
- Bio-IT, e.g. biologically inspired robotics and artefacts including adaptive artefacts,