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Kalochristianakis M, Kontogiannis A, Flouri DE, Nathena D, Kanaki K, Kranioti EF. IPPASOS: The first digital forensic information system in Greece. HEALTH INF MANAG J 2024; 53:137-144. [PMID: 36802854 DOI: 10.1177/18333583221144664] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
Abstract
OBJECTIVE This article describes the first digital clinical information system tailored to support the operational needs of a forensic unit in Greece and to maintain its archives. METHOD The development of our system was initiated towards the end of 2018, as a close collaboration between the Medical School of the University of Crete and the Forensic Medicine Unit of the University Hospital of Heraklion, Crete, where forensic pathologists assumed active roles during the specification and testing of the system. RESULTS The final prototype of the system was able to manage the life cycle of any forensic case by allowing users to create new records, assign them to forensic pathologists, upload reports, multimedia and any required files; mark the end of processing, issue certificates or appropriate legal documents, produce reports and generate statistics. For the first 4 years of digitised data (2017-2021), the system recorded 2936 forensic examinations categorised as 106 crime scene investigations, 259 external examinations, 912 autopsies, 102 post-mortem CT examinations, 804 histological examinations, 116 clinical examinations, 12 anthropological examinations and 625 embalmings. CONCLUSION This research represents the first systematic effort to record forensic cases through a digital clinical information system in Greece, and to demonstrate its effectiveness, daily usability and vast potential for data extraction and for future research.
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Affiliation(s)
| | - Andreas Kontogiannis
- Medical School, University of Crete, Greece
- Forensic Medicine Unit, Department of Forensic Sciences, University Hospital of Heraklion, Greece
| | - Despoina E Flouri
- Medical School, University of Crete, Greece
- Forensic Medicine Unit, Department of Forensic Sciences, University Hospital of Heraklion, Greece
| | - Despoina Nathena
- Forensic Medicine Unit, Department of Forensic Sciences, University Hospital of Heraklion, Greece
| | - Katerina Kanaki
- Forensic Medicine Unit, Department of Forensic Sciences, University Hospital of Heraklion, Greece
| | - Elena F Kranioti
- Medical School, University of Crete, Greece
- Forensic Medicine Unit, Department of Forensic Sciences, University Hospital of Heraklion, Greece
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Marias K, Dionysiou D, Sakkalis V, Graf N, Bohle RM, Coveney PV, Wan S, Folarin A, Büchler P, Reyes M, Clapworthy G, Liu E, Sabczynski J, Bily T, Roniotis A, Tsiknakis M, Kolokotroni E, Giatili S, Veith C, Messe E, Stenzhorn H, Kim YJ, Zasada S, Haidar AN, May C, Bauer S, Wang T, Zhao Y, Karasek M, Grewer R, Franz A, Stamatakos G. Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm. Interface Focus 2011; 1:450-61. [PMID: 22670213 PMCID: PMC3262443 DOI: 10.1098/rsfs.2010.0037] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2010] [Accepted: 03/07/2011] [Indexed: 12/13/2022] Open
Abstract
The challenge of modelling cancer presents a major opportunity to improve our ability to reduce mortality from malignant neoplasms, improve treatments and meet the demands associated with the individualization of care needs. This is the central motivation behind the ContraCancrum project. By developing integrated multi-scale cancer models, ContraCancrum is expected to contribute to the advancement of in silico oncology through the optimization of cancer treatment in the patient-individualized context by simulating the response to various therapeutic regimens. The aim of the present paper is to describe a novel paradigm for designing clinically driven multi-scale cancer modelling by bringing together basic science and information technology modules. In addition, the integration of the multi-scale tumour modelling components has led to novel concepts of personalized clinical decision support in the context of predictive oncology, as is also discussed in the paper. Since clinical adaptation is an inelastic prerequisite, a long-term clinical adaptation procedure of the models has been initiated for two tumour types, namely non-small cell lung cancer and glioblastoma multiforme; its current status is briefly summarized.
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Affiliation(s)
- K. Marias
- Institute of Computer Science at FORTH, Heraklion, Greece
| | - D. Dionysiou
- In Silico Oncology Group, Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
| | - V. Sakkalis
- Institute of Computer Science at FORTH, Heraklion, Greece
| | - N. Graf
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - R. M. Bohle
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - P. V. Coveney
- Centre for Computational Science, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - S. Wan
- Centre for Computational Science, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - A. Folarin
- Cancer Research Institute, University College London, 72 Huntley Street, London WC1E 6BT, UK
| | - P. Büchler
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - M. Reyes
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - G. Clapworthy
- Department of Computer Science & Technology, University of Bedfordshire, Luton, UK
| | - E. Liu
- Department of Computer Science & Technology, University of Bedfordshire, Luton, UK
| | - J. Sabczynski
- Philips Technologie GmbH, Innovative Technologies, Hamburg, Germany
| | - T. Bily
- Faculty of Mathematics and Physics, Department of Applied Mathematics, Charles University in Prague, Prague, Czech Republic
| | - A. Roniotis
- Institute of Computer Science at FORTH, Heraklion, Greece
| | - M. Tsiknakis
- Institute of Computer Science at FORTH, Heraklion, Greece
| | - E. Kolokotroni
- In Silico Oncology Group, Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
| | - S. Giatili
- In Silico Oncology Group, Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
| | - C. Veith
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - E. Messe
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - H. Stenzhorn
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - Yoo-Jin Kim
- Departments of Paediatric Oncology and Haematology, Pathology, Genetics, Universität des Saarlandes, Homburg, Germany
| | - S. Zasada
- Centre for Computational Science, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - A. N. Haidar
- Centre for Computational Science, Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - C. May
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - S. Bauer
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - T. Wang
- Department of Computer Science & Technology, University of Bedfordshire, Luton, UK
| | - Y. Zhao
- Department of Computer Science & Technology, University of Bedfordshire, Luton, UK
| | - M. Karasek
- Faculty of Mathematics and Physics, Department of Applied Mathematics, Charles University in Prague, Prague, Czech Republic
| | - R. Grewer
- Philips Technologie GmbH, Innovative Technologies, Hamburg, Germany
| | - A. Franz
- Philips Technologie GmbH, Innovative Technologies, Hamburg, Germany
| | - G. Stamatakos
- In Silico Oncology Group, Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
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Abstract
The Virtual Physiological Human is synonymous with a programme in computational biomedicine that aims to develop a framework of methods and technologies to investigate the human body as a whole. It is predicated on the transformational character of information technology, brought to bear on that most crucial of human concerns, our own health and well-being.
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Affiliation(s)
- Peter V. Coveney
- Centre for Computational Science, University College London, 20 Gordon Street, London WC1H 0AJ, UK
| | - Vanessa Diaz
- Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK
| | - Peter Hunter
- Auckland Bioengineering Institute, The University of Auckland, Auckland 1142, New Zealand
| | - Peter Kohl
- Heart Science Centre, Imperial College, Harefield Hospital, Hill End Road, Harefield UB9 6JH, UK
| | - Marco Viceconti
- Medical Technology Laboratory, Instituto Orthopedico Rizzoli, via di Barbiano 1/10, 40136 Bologna, Italy
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