Bernd Blobel - Profile on Academia.edu (original) (raw)

Papers by Bernd Blobel

EHR/PHR Systems Today and in the Future

pHealth 2014 : Proceedings of the 11th International Conference on Wearable Micro and Nano Technologies for Personalized Health : June 11 - 13, 2014, Vienna, Austria

IOS Press eBooks, 2014

PubMed, Jun 16, 2020

Processes like the care of type 2 diabetes mellitus patients require support by information syste... more Processes like the care of type 2 diabetes mellitus patients require support by information systems considering the heterogeneity of the actors from different domains involved, enabling harmonization and integration of their specific methodologies and knowledge representation approaches towards interdisciplinary cooperation. Currently, the development of systems starts from the simplified information world, ignoring the aforementioned heterogeneity and specificity of real-world processes. This paper aims to demonstrate the feasibility of developing an adaptive, interoperable and intelligent system that supports the major aspects of type 2 diabetes mellitus care based on the Generic Component Model as formal methodology for modelling universal systems. The result is a deployable solution based on a formal representation of the diabetes care system, its objectives, and the intended business process. The implemented system enables reasoning over the data, inferring medical diagnosis. The effectiveness of the inference was evaluated, obtaining an F-measure of 0.89. The methods presented in this paper helps to build high quality models based on computation-independent aspects, which enable the construction of knowledge-based adaptive, intelligent and interoperable eHealth systems.

Access Control Models - A Systematic Review

PubMed, 2019

Within a healthcare environment, organizational, legal, functional, social, ethical, and technica... more Within a healthcare environment, organizational, legal, functional, social, ethical, and technical requirements must be met. In that context, security and safety are important challenges, which highly influence user acceptance. In such a complex scenario, privilege management and access control are critical for data security and patients' privacy. On the other end, the appropriate use of care data should not be prevented by data protection measures. In order to enable an adequate use of data, all the policies ruling the care process must be harmonized. In order to pursue this aim, the health system's architecture must be formally described at the required level of granularity using a system theory based architectural model. The resulting representation can be used as a mean to compare the different access control models governing the different parts of the distributed environment and to perform policy harmonization.

Mastering the Interoperability Challenge (IHIC 2018), Report on the International HL7 Interoperability Conference 2018

pHealth 2018. Proc. of the 15th Int. Conf. on Wearable Micro and Nano Technologies for Personalised Health, 12-14 Juni 2018, Gjøvik, Norway

IOS Press eBooks, 2018

The conference series started in 2003 as a Dissemination Activity of the European Project on Wear... more The conference series started in 2003 as a Dissemination Activity of the European Project on Wearable Micro and Nano Technologies for Personalized Health, focusing on personal health management systems. Meanwhile, pHealth conferences are global events, covering technological, biomedical, legal, ethical, social, and organizational requirements and impacts as well as necessary basic research for enabling future-proof care paradigms. So, they address medical services, public health, prevention, social and elderly care, wellness and personal fitness on the move to participatory, predictive, personalized, preventive, precision medicine (5P medicine). Establishing a growing international community, the conferences bring together scientists, developers, and practitioners from various technologies, medical and health disciplines, legal affairs, politics, and administration, representing health services vendor and provider institutions, payer organizations, governmental departments, academic institutions, professional bodies, but also patients and citizens.

Journal of Personalized Medicine, Jul 31, 2023

European Journal for Biomedical Informatics, 2017

A Regional, Secure Cancer Documentation System for an Optimal “Shared Care” in Oncology

IOS Press eBooks, 1996

A Model for Calculated Privacy and Trust in pHealth Ecosystems

PubMed, 2018

A pHealth ecosystem is a community of service users and providers. It is also a dynamic socio-tec... more A pHealth ecosystem is a community of service users and providers. It is also a dynamic socio-technical system. One of its main goals is to help users to maintain their personal health status. Another goal is to give economic benefit to stakeholders which use personal health information existing in the ecosystem. In pHealth ecosystems, a huge amount of health related data is collected and used by service providers such as data extracted from the regulated health record and information related to personal characteristics, genetics, lifestyle and environment. In pHealth ecosystems, there are different kinds of service providers such as regulated health care service providers, unregulated health service providers, ICT service providers, researchers and industrial organizations. This fact together with the multidimensional personal health data used raises serious privacy concerns. Privacy is a necessary enabler for successful pHealth, but it is also an elastic concept without any universally agreed definition. Regardless of what kind of privacy model is used in dynamic socio-technical systems, it is difficult for a service user to know the privacy level of services in real life situations. As privacy and trust are interrelated concepts, the authors have developed a hybrid solution where knowledge got from regulatory privacy requirements and publicly available privacy related documents is used for calculation of service providers' specific initial privacy value. This value is then used as an estimate for the initial trust score. In this solution, total trust score is a combination of recommended trust, proposed trust and initial trust. Initial privacy level is a weighted arithmetic mean of knowledge and user selected weights. The total trust score for any service provider in the ecosystem can be calculated deploying either a beta trust model or the Fuzzy trust calculation method. The prosed solution is easy to use and to understand, and it can be also automated. It is possible to develop a computer application that calculates a situation-specific trust score, and to make it freely available on the Internet.

PubMed, Sep 4, 2020

Today's digital information systems and applications collect every day a huge amount of personal ... more Today's digital information systems and applications collect every day a huge amount of personal health information (PHI) from sensor and surveillance systems, and every time we use personal computers or mobile phones. Collected data is processed in clouds, platforms and ecosystems by digital algorithms and machine learning. Pervasive technology, insufficient and ineffective privacy legislation, strong ICT industry and low political will to protect data subject's privacy have together made it almost impossible for a user to know what PHI is collected, how it is used and to whom it is disclosed. Service providers' and organizations' privacy policy documents are cumbersome and they do not guarantee that PHI is not misused. Instead, service users are expected to blindly trust in privacy promises made. In spite of that, majority of individuals are concerned of their privacy, and governments' assurance that they meet the responsibility to protect citizens in real life privacy is actually dead. Because PHI is probably the most sensitive data we have, and the authors claim it cannot be a commodity or public good, they have studied novel privacy approaches to find a way out from the current unsatisfactory situation. Based on findings got, the authors have developed a promising solution for privacy-enabled use of PHI. It is a combination of the concept of information fiduciary duty, Privacy as Trust approach, and privacy by smart contract. This approach shifts the onus of privacy protection onto data collectors and service providers. A specific information fiduciary duty law is needed to harmonize privacy requirements and force the acceptance of proposed solutions. Furthermore, the authors have studied strengths and weaknesses of existing or emerging solutions.

PubMed, Aug 21, 2019

Health systems advance towards personalized, preventive, predictive, participative precision (5P)... more Health systems advance towards personalized, preventive, predictive, participative precision (5P) medicine, considering the individual's health status, contexts and conditions. This results in fully distributed, highly dynamic, highly complex business systems and processes with multiple, comprehensively cooperating actors from different specialty and policy domains, using their specific methodologies, terminologies, ontologies, knowledge and skills. Rules and regulations governing the business process as well as the organizational, legal and individual conditions, thereby controlling the behavior of the system, are called policies. Trust and confidence needed for running such system are strongly impacted by security and privacy concerns controlled by corresponding policies. The most comprehensive policy dealing with security and privacy requirements and principles in any business collecting, processing and sharing personal identifiable information (PII) is the recently implemented European General Data Protection Regulation (GDPR). This paper investigates how GDPR supports healthcare transformation and how this can be implemented based on international standards and specifications.

PubMed, 2017

Successful health care, eHealth, digital health, and personal health systems increasingly take pl... more Successful health care, eHealth, digital health, and personal health systems increasingly take place in cross-jurisdictional, dynamic and risk-encumbered information space. They require rich amount of personal health information (PHI). Trust is and will be the cornerstone and prerequisite for successful health services. In global environments, trust cannot be expected as granted. In this paper, health service in the global environment is perceived as a meta-system, and a trust management model is developed to support it. The predefined trusting belief currently used in health care is not transferable to global environments. In the authors' model, the level of trust is dynamically calculated from measurable attributes. These attributes describe trust features of the service provider and its environment. The calculated trust value or profile can be used in defining the risk service user has to accept when disclosing PHI, and in definition of additional privacy and security safeguards before disclosing PHI and/or using services.

Healthcare Transformation Towards Personalized Medicine - Chances and Challenges

PubMed, 2019

The paper introduces a structured approach to transforming healthcare towards personalized, preve... more The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine. It highlights the promising methodological paradigm changes, accompanied by related organizational and technological ones. In the latter context, the deployment of artificial intelligence and autonomous systems is crucial beside miniaturization and mobility. Beside their opportunities, those advanced technologies also bear risks to be managed. Beside the relationships between technology and human actors, the behavior of intelligent and autonomous systems from a humanistic and ethical perspective is in the center of considerations. The different existing approaches for guaranteeing the intended properties are presented and compared for deriving a common set of necessary principles to be met for P5 medicine.

Digital pHealth - Problems and Solutions for Ethics, Trust and Privacy

PubMed, 2019

The penetration of digital platforms and ecosystem based business-model together with the use alg... more The penetration of digital platforms and ecosystem based business-model together with the use algorithm and machine leaning are changing the environment where pHealth takes place. Traditional pHealth is changing to Digital pHealth. This development brings new ethical, privacy and trust problems which have to solve to make Digital pHealth successful. In this paper ethical, privacy and trust problems in Digital pHealth are studied at conceptual level. Concerns caused by the use novel ICT-technology and regulatory environment are also discussed. The starting point is that the Digital pHealth as a system and its applications and algorithms should be ethically acceptable, trustworthy and enable the service user to set own context-aware privacy policies. Mutual trust is needed between application and all stakeholders. Solution proposed for trustworthy Digital pHealth include ethical design, policy based privacy management and on-line calculation of privacy and trust levels using proven mathematical methods. In the future, novel solutions such as algorithm based access control and data sharing, and algorithm based privacy prediction together with cryptography based blockchain seems to have potential to change the way privacy is managed in Digital pHealth. Technology alone cannot solve current privacy and trust problems. New regulations which not only give users of the Digital pHealth right to set personal privacy polies but also force pHealth service providers and platform owners to prove regulatory compliance of their services are needed.

Health and technology, Apr 2, 2016

The evolution of the Internet has provided new and more efficient communication and collaboration... more The evolution of the Internet has provided new and more efficient communication and collaboration channels between individuals, empowering them to share health information and to interact more and more using social media channels. Information quality is frequently identified as one of the main limitations of social media in healthcare. The objective of the paper is to discuss the social implications and limitations on information quality in healthcare social media, and particularly to contribute to the analysis and development of healthcare social networks (SN) and online healthcare social network services (SNS). For that reason, a formal architectural analysis of healthcare SN and SNS has been proposed, considering the complexity of both systems, but stressing on quality of Information aspects. Any social system -and its network of interrelations -can be analyzed as a real world system. Therefore, it is possible to model the structural components, interrelations and functionality (system architecture) of healthcare SN and SNS. The Generic Component Model (GCM) has demonstrated to be an ideal architectural framework for any real system's analysis. Based on the GCM, the architecture of quality aware healthcare SNS is proposed. Information quality is addressed in the domain dimension of the GCM, supported by the definition of information quality policies. The practical implementation of quality-driven online SNS and information quality policies was demonstrated by the development of an online SNS supporting health promotion programs in a healthcare institution. In order to evaluate the relevance of the information quality policies proposed, a descriptive study was performed, in which the content published in the online SNS was selected strictly following the information quality policy. The study demonstrated that users' perceived information quality was high. The paper addresses sociotechnical aspects of social media by providing a formal method for the management of information quality in online healthcare social networks.

Contribution of medical informatics to health : integrated clinical data and knowledge to support primary, secondary, tertiary and home care : proceedings of the European Federation for Medical Informatics special topics conference 2004, Munich, June 13-16, 2004

IOS Press eBooks, 2004

Studies in health technology and informatics, Nov 3, 2022

The advancement of healthcare towards P5 medicine requires communication and cooperation between ... more The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meaning of the data in the context of concepts and contexts they represent for a specific use case. In other words, we have to advance from data sharing through sharing semantics up to sharing clinical and medical knowledge. According to the Good Modeling Best Practices, we have to start with describing the real-world business system by domain experts using Domain Ontologies before transforming it into an information and communication technology (ICT) system, thereafter specifying the informational components and then transforming the system into an implementable solution. Any representation style -in the system development process acc. to ISO 10746 called system view -is defined by a related ontology, to be distinguished from real-world domain ontologies representing the knowledge spaces of involved disciplines. The system enabling such representational transformation shall also support versioning as well as the management of historical evolutions. One of such systems is the Common Terminology Service Release 2 (CTS2), which is a standard that allows the complete management of terminological contents. The main objective of this work is to present the choices we made to transform an ontology, written in the standard Ontology Web Language (OWL), into the CTS2 objects. We tested our transformation approach with the Alzheimer's Disease Ontology. We managed to map all the elements of the considered ontology to CTS2 terminological resources, except for a subset of elements such as the equivalentClass derived from restrictions on other classes.

EHR/PHR Systems Today and in the Future

pHealth 2014 : Proceedings of the 11th International Conference on Wearable Micro and Nano Technologies for Personalized Health : June 11 - 13, 2014, Vienna, Austria

IOS Press eBooks, 2014

PubMed, Jun 16, 2020

Processes like the care of type 2 diabetes mellitus patients require support by information syste... more Processes like the care of type 2 diabetes mellitus patients require support by information systems considering the heterogeneity of the actors from different domains involved, enabling harmonization and integration of their specific methodologies and knowledge representation approaches towards interdisciplinary cooperation. Currently, the development of systems starts from the simplified information world, ignoring the aforementioned heterogeneity and specificity of real-world processes. This paper aims to demonstrate the feasibility of developing an adaptive, interoperable and intelligent system that supports the major aspects of type 2 diabetes mellitus care based on the Generic Component Model as formal methodology for modelling universal systems. The result is a deployable solution based on a formal representation of the diabetes care system, its objectives, and the intended business process. The implemented system enables reasoning over the data, inferring medical diagnosis. The effectiveness of the inference was evaluated, obtaining an F-measure of 0.89. The methods presented in this paper helps to build high quality models based on computation-independent aspects, which enable the construction of knowledge-based adaptive, intelligent and interoperable eHealth systems.

Access Control Models - A Systematic Review

PubMed, 2019

Within a healthcare environment, organizational, legal, functional, social, ethical, and technica... more Within a healthcare environment, organizational, legal, functional, social, ethical, and technical requirements must be met. In that context, security and safety are important challenges, which highly influence user acceptance. In such a complex scenario, privilege management and access control are critical for data security and patients' privacy. On the other end, the appropriate use of care data should not be prevented by data protection measures. In order to enable an adequate use of data, all the policies ruling the care process must be harmonized. In order to pursue this aim, the health system's architecture must be formally described at the required level of granularity using a system theory based architectural model. The resulting representation can be used as a mean to compare the different access control models governing the different parts of the distributed environment and to perform policy harmonization.

Mastering the Interoperability Challenge (IHIC 2018), Report on the International HL7 Interoperability Conference 2018

pHealth 2018. Proc. of the 15th Int. Conf. on Wearable Micro and Nano Technologies for Personalised Health, 12-14 Juni 2018, Gjøvik, Norway

IOS Press eBooks, 2018

The conference series started in 2003 as a Dissemination Activity of the European Project on Wear... more The conference series started in 2003 as a Dissemination Activity of the European Project on Wearable Micro and Nano Technologies for Personalized Health, focusing on personal health management systems. Meanwhile, pHealth conferences are global events, covering technological, biomedical, legal, ethical, social, and organizational requirements and impacts as well as necessary basic research for enabling future-proof care paradigms. So, they address medical services, public health, prevention, social and elderly care, wellness and personal fitness on the move to participatory, predictive, personalized, preventive, precision medicine (5P medicine). Establishing a growing international community, the conferences bring together scientists, developers, and practitioners from various technologies, medical and health disciplines, legal affairs, politics, and administration, representing health services vendor and provider institutions, payer organizations, governmental departments, academic institutions, professional bodies, but also patients and citizens.

Journal of Personalized Medicine, Jul 31, 2023

European Journal for Biomedical Informatics, 2017

A Regional, Secure Cancer Documentation System for an Optimal “Shared Care” in Oncology

IOS Press eBooks, 1996

A Model for Calculated Privacy and Trust in pHealth Ecosystems

PubMed, 2018

A pHealth ecosystem is a community of service users and providers. It is also a dynamic socio-tec... more A pHealth ecosystem is a community of service users and providers. It is also a dynamic socio-technical system. One of its main goals is to help users to maintain their personal health status. Another goal is to give economic benefit to stakeholders which use personal health information existing in the ecosystem. In pHealth ecosystems, a huge amount of health related data is collected and used by service providers such as data extracted from the regulated health record and information related to personal characteristics, genetics, lifestyle and environment. In pHealth ecosystems, there are different kinds of service providers such as regulated health care service providers, unregulated health service providers, ICT service providers, researchers and industrial organizations. This fact together with the multidimensional personal health data used raises serious privacy concerns. Privacy is a necessary enabler for successful pHealth, but it is also an elastic concept without any universally agreed definition. Regardless of what kind of privacy model is used in dynamic socio-technical systems, it is difficult for a service user to know the privacy level of services in real life situations. As privacy and trust are interrelated concepts, the authors have developed a hybrid solution where knowledge got from regulatory privacy requirements and publicly available privacy related documents is used for calculation of service providers' specific initial privacy value. This value is then used as an estimate for the initial trust score. In this solution, total trust score is a combination of recommended trust, proposed trust and initial trust. Initial privacy level is a weighted arithmetic mean of knowledge and user selected weights. The total trust score for any service provider in the ecosystem can be calculated deploying either a beta trust model or the Fuzzy trust calculation method. The prosed solution is easy to use and to understand, and it can be also automated. It is possible to develop a computer application that calculates a situation-specific trust score, and to make it freely available on the Internet.

PubMed, Sep 4, 2020

Today's digital information systems and applications collect every day a huge amount of personal ... more Today's digital information systems and applications collect every day a huge amount of personal health information (PHI) from sensor and surveillance systems, and every time we use personal computers or mobile phones. Collected data is processed in clouds, platforms and ecosystems by digital algorithms and machine learning. Pervasive technology, insufficient and ineffective privacy legislation, strong ICT industry and low political will to protect data subject's privacy have together made it almost impossible for a user to know what PHI is collected, how it is used and to whom it is disclosed. Service providers' and organizations' privacy policy documents are cumbersome and they do not guarantee that PHI is not misused. Instead, service users are expected to blindly trust in privacy promises made. In spite of that, majority of individuals are concerned of their privacy, and governments' assurance that they meet the responsibility to protect citizens in real life privacy is actually dead. Because PHI is probably the most sensitive data we have, and the authors claim it cannot be a commodity or public good, they have studied novel privacy approaches to find a way out from the current unsatisfactory situation. Based on findings got, the authors have developed a promising solution for privacy-enabled use of PHI. It is a combination of the concept of information fiduciary duty, Privacy as Trust approach, and privacy by smart contract. This approach shifts the onus of privacy protection onto data collectors and service providers. A specific information fiduciary duty law is needed to harmonize privacy requirements and force the acceptance of proposed solutions. Furthermore, the authors have studied strengths and weaknesses of existing or emerging solutions.

PubMed, Aug 21, 2019

Health systems advance towards personalized, preventive, predictive, participative precision (5P)... more Health systems advance towards personalized, preventive, predictive, participative precision (5P) medicine, considering the individual's health status, contexts and conditions. This results in fully distributed, highly dynamic, highly complex business systems and processes with multiple, comprehensively cooperating actors from different specialty and policy domains, using their specific methodologies, terminologies, ontologies, knowledge and skills. Rules and regulations governing the business process as well as the organizational, legal and individual conditions, thereby controlling the behavior of the system, are called policies. Trust and confidence needed for running such system are strongly impacted by security and privacy concerns controlled by corresponding policies. The most comprehensive policy dealing with security and privacy requirements and principles in any business collecting, processing and sharing personal identifiable information (PII) is the recently implemented European General Data Protection Regulation (GDPR). This paper investigates how GDPR supports healthcare transformation and how this can be implemented based on international standards and specifications.

PubMed, 2017

Successful health care, eHealth, digital health, and personal health systems increasingly take pl... more Successful health care, eHealth, digital health, and personal health systems increasingly take place in cross-jurisdictional, dynamic and risk-encumbered information space. They require rich amount of personal health information (PHI). Trust is and will be the cornerstone and prerequisite for successful health services. In global environments, trust cannot be expected as granted. In this paper, health service in the global environment is perceived as a meta-system, and a trust management model is developed to support it. The predefined trusting belief currently used in health care is not transferable to global environments. In the authors' model, the level of trust is dynamically calculated from measurable attributes. These attributes describe trust features of the service provider and its environment. The calculated trust value or profile can be used in defining the risk service user has to accept when disclosing PHI, and in definition of additional privacy and security safeguards before disclosing PHI and/or using services.

Healthcare Transformation Towards Personalized Medicine - Chances and Challenges

PubMed, 2019

The paper introduces a structured approach to transforming healthcare towards personalized, preve... more The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine. It highlights the promising methodological paradigm changes, accompanied by related organizational and technological ones. In the latter context, the deployment of artificial intelligence and autonomous systems is crucial beside miniaturization and mobility. Beside their opportunities, those advanced technologies also bear risks to be managed. Beside the relationships between technology and human actors, the behavior of intelligent and autonomous systems from a humanistic and ethical perspective is in the center of considerations. The different existing approaches for guaranteeing the intended properties are presented and compared for deriving a common set of necessary principles to be met for P5 medicine.

Digital pHealth - Problems and Solutions for Ethics, Trust and Privacy

PubMed, 2019

The penetration of digital platforms and ecosystem based business-model together with the use alg... more The penetration of digital platforms and ecosystem based business-model together with the use algorithm and machine leaning are changing the environment where pHealth takes place. Traditional pHealth is changing to Digital pHealth. This development brings new ethical, privacy and trust problems which have to solve to make Digital pHealth successful. In this paper ethical, privacy and trust problems in Digital pHealth are studied at conceptual level. Concerns caused by the use novel ICT-technology and regulatory environment are also discussed. The starting point is that the Digital pHealth as a system and its applications and algorithms should be ethically acceptable, trustworthy and enable the service user to set own context-aware privacy policies. Mutual trust is needed between application and all stakeholders. Solution proposed for trustworthy Digital pHealth include ethical design, policy based privacy management and on-line calculation of privacy and trust levels using proven mathematical methods. In the future, novel solutions such as algorithm based access control and data sharing, and algorithm based privacy prediction together with cryptography based blockchain seems to have potential to change the way privacy is managed in Digital pHealth. Technology alone cannot solve current privacy and trust problems. New regulations which not only give users of the Digital pHealth right to set personal privacy polies but also force pHealth service providers and platform owners to prove regulatory compliance of their services are needed.

Health and technology, Apr 2, 2016

The evolution of the Internet has provided new and more efficient communication and collaboration... more The evolution of the Internet has provided new and more efficient communication and collaboration channels between individuals, empowering them to share health information and to interact more and more using social media channels. Information quality is frequently identified as one of the main limitations of social media in healthcare. The objective of the paper is to discuss the social implications and limitations on information quality in healthcare social media, and particularly to contribute to the analysis and development of healthcare social networks (SN) and online healthcare social network services (SNS). For that reason, a formal architectural analysis of healthcare SN and SNS has been proposed, considering the complexity of both systems, but stressing on quality of Information aspects. Any social system -and its network of interrelations -can be analyzed as a real world system. Therefore, it is possible to model the structural components, interrelations and functionality (system architecture) of healthcare SN and SNS. The Generic Component Model (GCM) has demonstrated to be an ideal architectural framework for any real system's analysis. Based on the GCM, the architecture of quality aware healthcare SNS is proposed. Information quality is addressed in the domain dimension of the GCM, supported by the definition of information quality policies. The practical implementation of quality-driven online SNS and information quality policies was demonstrated by the development of an online SNS supporting health promotion programs in a healthcare institution. In order to evaluate the relevance of the information quality policies proposed, a descriptive study was performed, in which the content published in the online SNS was selected strictly following the information quality policy. The study demonstrated that users' perceived information quality was high. The paper addresses sociotechnical aspects of social media by providing a formal method for the management of information quality in online healthcare social networks.

Contribution of medical informatics to health : integrated clinical data and knowledge to support primary, secondary, tertiary and home care : proceedings of the European Federation for Medical Informatics special topics conference 2004, Munich, June 13-16, 2004

IOS Press eBooks, 2004

Studies in health technology and informatics, Nov 3, 2022

The advancement of healthcare towards P5 medicine requires communication and cooperation between ... more The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperability must go beyond integrating data from different sources and include the understanding of the meaning of the data in the context of concepts and contexts they represent for a specific use case. In other words, we have to advance from data sharing through sharing semantics up to sharing clinical and medical knowledge. According to the Good Modeling Best Practices, we have to start with describing the real-world business system by domain experts using Domain Ontologies before transforming it into an information and communication technology (ICT) system, thereafter specifying the informational components and then transforming the system into an implementable solution. Any representation style -in the system development process acc. to ISO 10746 called system view -is defined by a related ontology, to be distinguished from real-world domain ontologies representing the knowledge spaces of involved disciplines. The system enabling such representational transformation shall also support versioning as well as the management of historical evolutions. One of such systems is the Common Terminology Service Release 2 (CTS2), which is a standard that allows the complete management of terminological contents. The main objective of this work is to present the choices we made to transform an ontology, written in the standard Ontology Web Language (OWL), into the CTS2 objects. We tested our transformation approach with the Alzheimer's Disease Ontology. We managed to map all the elements of the considered ontology to CTS2 terminological resources, except for a subset of elements such as the equivalentClass derived from restrictions on other classes.

International Journal of E-Health and Medical Communications, 2012

In theory, persons with impairments including elderly have the same rights of taking part in ever... more In theory, persons with impairments including elderly have the same rights of taking part in everyday life activities and society. However in practice, they are at risk of being excluded because of the great number of ICT solutions not addressing the needs of people with impairments. This paper describes a system which provides personalized services supporting people with impairments and patients travelling for medical reasons, work, social contacts, daily outdoor life activities, etc. In this paper, we focus on the scenarios, requirements, architecture, integration, requirements fulfilment, and conclusions of building an ambient intelligent travel companions.