This document summarizes a presentation given at the 1st Workshop on Scientific Computing in Health Applications. The presentation discusses healthcare information models and applications, including the challenges with current healthcare systems and a proposed new approach using multi-level modeling. It also introduces OSHIP, an open source healthcare information platform implemented in Python that uses multi-level modeling and provides a development environment for various healthcare applications.
MSc. Timothy Cook's presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
This document provides an overview of various technology integration tools that could be used for science instruction, including digital storytelling software and web 2.0 tools. It discusses tools like Comic Life for creating graphic novels, Adobe Premiere Elements for video editing, and MindView for mind mapping. Google Docs is presented as a file sharing tool. The power of digital storytelling for developing creativity and depth of thought is explored. Various resources for digital storytelling projects, images, video and sound are provided.
The UN-REDD Programme supports countries in developing national REDD+ strategies and implementing readiness activities. It has established social and environmental principles and criteria to ensure REDD+ benefits and safeguards risks. It is also developing participatory governance assessment approaches and guidelines on stakeholder engagement and free, prior, and informed consent. The tools are being piloted and implemented in partner countries like Vietnam, Indonesia, and Ecuador to help operationalize safeguards at the national level.
The document discusses direct-to-consumer (D2C) distribution in the financial services industry. It notes that consumers are becoming more empowered and are demanding more control over their financial decisions. Successful D2C models will focus on the user, operate at scale to keep costs low, utilize modern technology and data to provide a seamless user experience, and gain traffic through network effects. Social and crowdsourced features may also be important to build trust and showcase what similar customers are doing.
REDD+ is a mechanism to incentivize developing countries to protect and better manage their forests. It aims to make standing forests more valuable than cleared forests by creating a financial value for the carbon stored in trees. Developed countries would pay developing countries carbon offsets for maintaining their forest carbon stocks. REDD+ was established in 2005 within the UNFCCC to reduce emissions from deforestation and forest degradation. It pursues plans and programs to identify drivers of forest loss, encourage sustainable forest management, and enhance carbon stocks. REDD+ investment can help transition economies toward green development by valuing ecosystem services provided by forests. Implementation of REDD+ involves designing national plans, economic and political factors, and assessing impacts on forests and
Knowledgebase Systems in Neuro Science - A StudyIJSCAI Journal
The improvement of health and nutritional status of the society has been one of the thrust areas for social
developments programmes of the country. The present states of healthcare facilities in India are inadequate
when compared to international standards. The average Indian spending on healthcare is much below the
global average spending. Indian healthcare Industry is growing at the rapid pace of more than 18%, the
fastest in the world. The prospects for Indian healthcare are to the tune of USD 40 billion, while global
market is USD 1660 trillion. India has all the prospects to become medical tourism destination of the
world, because it has a large pool of low-cost scientifically trained technical personal and is one of the
favoured counties for cost effective healthcare. As per the reports of Global Burden of Neurological
Disorders Estimations and Projections survey there is big shortage of neurologist in India and around the
world. So Authors would like to develop an innovative IT based solution to help doctors in rural areas to
gain expertise in Neuro Science and treat patients like expert neurologist. This paper aims to survey the
Soft Computing techniques in treating neural patient’s problems used throughout the world
This document summarizes research on using knowledge-based systems and soft computing techniques in neuroscience. It provides an abstract and literature review on several expert systems and computational models that have been developed to diagnose neurological disorders like strokes and epilepsy. The literature review discusses systems that use fuzzy logic, neural networks, and case-based reasoning to classify symptoms and arrive at diagnoses. The goal of the research discussed is to develop innovative IT solutions to help doctors in rural areas diagnose and treat neurological patients.
MSc. Timothy Cook's presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
This document provides an overview of various technology integration tools that could be used for science instruction, including digital storytelling software and web 2.0 tools. It discusses tools like Comic Life for creating graphic novels, Adobe Premiere Elements for video editing, and MindView for mind mapping. Google Docs is presented as a file sharing tool. The power of digital storytelling for developing creativity and depth of thought is explored. Various resources for digital storytelling projects, images, video and sound are provided.
The UN-REDD Programme supports countries in developing national REDD+ strategies and implementing readiness activities. It has established social and environmental principles and criteria to ensure REDD+ benefits and safeguards risks. It is also developing participatory governance assessment approaches and guidelines on stakeholder engagement and free, prior, and informed consent. The tools are being piloted and implemented in partner countries like Vietnam, Indonesia, and Ecuador to help operationalize safeguards at the national level.
The document discusses direct-to-consumer (D2C) distribution in the financial services industry. It notes that consumers are becoming more empowered and are demanding more control over their financial decisions. Successful D2C models will focus on the user, operate at scale to keep costs low, utilize modern technology and data to provide a seamless user experience, and gain traffic through network effects. Social and crowdsourced features may also be important to build trust and showcase what similar customers are doing.
REDD+ is a mechanism to incentivize developing countries to protect and better manage their forests. It aims to make standing forests more valuable than cleared forests by creating a financial value for the carbon stored in trees. Developed countries would pay developing countries carbon offsets for maintaining their forest carbon stocks. REDD+ was established in 2005 within the UNFCCC to reduce emissions from deforestation and forest degradation. It pursues plans and programs to identify drivers of forest loss, encourage sustainable forest management, and enhance carbon stocks. REDD+ investment can help transition economies toward green development by valuing ecosystem services provided by forests. Implementation of REDD+ involves designing national plans, economic and political factors, and assessing impacts on forests and
Knowledgebase Systems in Neuro Science - A StudyIJSCAI Journal
The improvement of health and nutritional status of the society has been one of the thrust areas for social
developments programmes of the country. The present states of healthcare facilities in India are inadequate
when compared to international standards. The average Indian spending on healthcare is much below the
global average spending. Indian healthcare Industry is growing at the rapid pace of more than 18%, the
fastest in the world. The prospects for Indian healthcare are to the tune of USD 40 billion, while global
market is USD 1660 trillion. India has all the prospects to become medical tourism destination of the
world, because it has a large pool of low-cost scientifically trained technical personal and is one of the
favoured counties for cost effective healthcare. As per the reports of Global Burden of Neurological
Disorders Estimations and Projections survey there is big shortage of neurologist in India and around the
world. So Authors would like to develop an innovative IT based solution to help doctors in rural areas to
gain expertise in Neuro Science and treat patients like expert neurologist. This paper aims to survey the
Soft Computing techniques in treating neural patient’s problems used throughout the world
This document summarizes research on using knowledge-based systems and soft computing techniques in neuroscience. It provides an abstract and literature review on several expert systems and computational models that have been developed to diagnose neurological disorders like strokes and epilepsy. The literature review discusses systems that use fuzzy logic, neural networks, and case-based reasoning to classify symptoms and arrive at diagnoses. The goal of the research discussed is to develop innovative IT solutions to help doctors in rural areas diagnose and treat neurological patients.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
Journal Club - Best Practices for Scientific ComputingBram Zandbelt
This document discusses the importance of best practices in scientific computing. It notes that scientists rely heavily on software for research, with many writing their own code. However, most scientists are self-taught in software skills and may be unaware of best practices that could help them write more reliable and maintainable code. The document advocates treating software like a scientific instrument and following practices such as version control, testing, and automation. Adopting these practices could help reduce errors and make software easier to reuse.
KNOWLEDGEBASE SYSTEMS IN NEURO SCIENCE - A STUDYijscai
This document summarizes research on using knowledge-based systems and soft computing techniques in neuroscience. It provides an abstract for an article on this topic and then summarizes several other research papers that have applied expert systems, fuzzy logic, neural networks, and other computational approaches to problems in neurology, including diagnosing stroke type, modeling neuromuscular disorders, analyzing EEG data, and developing diagnostic systems for epilepsy. The document surveys this area and provides high-level summaries of several studies that have developed computational models and expert systems to assist with neurological diagnosis and analysis.
The improvement of health and nutritional status of the society has been one of the thrust areas for social
developments programmes of the country. The present states of healthcare facilities in India are inadequate
when compared to international standards. The average Indian spending on healthcare is much below the
global average spending. Indian healthcare Industry is growing at the rapid pace of more than 18%, the
fastest in the world. The prospects for Indian healthcare are to the tune of USD 40 billion, while global
market is USD 1660 trillion. India has all the prospects to become medical tourism destination of the
world, because it has a large pool of low-cost scientifically trained technical personal and is one of the
favoured counties for cost effective healthcare. As per the reports of Global Burden of Neurological
Disorders Estimations and Projections survey there is big shortage of neurologist in India and around the
world. So Authors would like to develop an innovative IT based solution to help doctors in rural areas to
gain expertise in Neuro Science and treat patients like expert neurologist. This paper aims to survey the
Soft Computing techniques in treating neural patient’s problems used throughout the world
This dissertation examines the impact of intellectual property rights on scientific knowledge diffusion, accumulation, and utilization in the life sciences. It focuses on the Human Genome Project and associated gene patents. It finds that while patenting does not inherently stifle knowledge dissemination, gene patenting can impede temporal knowledge diffusion and decrease citations once patents are granted, as predicted by the "anti-commons effect." However, publications with matched patent-gene pairs receive more citations on average. The dissertation also finds a growing convergence of public/academic and private innovations in life sciences, and evidence that variations in institutional settings associate with different innovation characteristics.
The document discusses evidence farming as an approach to evaluating mobile health (mHealth) applications and interventions. Evidence farming involves extracting evidence from care process data and manipulating care processes with flexible protocols. This allows generating hypotheses at the population level while maintaining some internal validity. The document proposes an open architecture called OpenmHealth to support evidence farming and crowdsourcing evidence through modules for usage analytics, randomized trials, individualized studies, and sharing findings. The goal is a learning community that can rapidly disseminate and iterate on evaluation methods that matter to improving mHealth.
Chattanooga Research Institute PresentationPhilip Bourne
A presentation made to Chattanooga officials about the importance of computational biology to the future of health care and what it might mean to the Chattanooga Research Institute (CRI).
The document discusses remote rehabilitation for the aging population using appropriate technologies. It summarizes the need for remote rehabilitation to address challenges with in-clinic care. It then reviews early US experiences in telerehabilitation and discusses shifting paradigms and opportunities from low-cost technologies like mobile phones and sensors. Finally, it outlines challenges in the Indian environment and proposes projects to develop standards and technologies for remote rehabilitation.
The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) will be held from August 30 to September 3, 2011 in Boston, Massachusetts. With an expected attendance of 2,500 participants, the conference will feature presentations and discussions on the latest advances in biomedical engineering and healthcare technologies. A variety of sessions are planned, including keynote speeches from leaders in science and technology, panels to discuss bridging research and clinical practice, and social events to promote networking. The goal of the conference is to spark new collaborations that can lead to innovative technologies to improve healthcare.
How To AVOID “Reinventing The Wheel” in Doing Research?Phu H. Nguyen
This document discusses how to avoid "reinventing the wheel" when doing research through the use of systematic literature reviews (SLRs). It begins with an introduction to SLRs, explaining their purpose and benefits. The presenter then outlines the steps for conducting an SLR, from forming a research question to evaluating and summarizing results. Examples of SLRs on model-driven security approaches are provided. The document concludes with an exercise where attendees conduct a mock SLR on beers in Luxembourg.
Acting as Advocate? Seven steps for libraries in the data decadeLizLyon
UKOLN advocates that libraries take seven steps to support data management and open science in the data decade:
1) Provide briefings on cloud data services in partnership with IT services.
2) Build usable data management tools in partnership with researchers.
3) Develop data sustainability strategies and articulate the costs and benefits.
4) Publish case studies on open science to show benefits of universal data sharing.
5) Present at university ethics committees to highlight open data issues.
6) Raise awareness of citizen science opportunities and guidelines for good practice.
7) Promote data citation and attribution to embed in publication practice.
Penggalih Herlambang is a medical doctor currently completing his residency. He obtained his medical degree in 2008 and founded the interest group "SiberMedik" focused on medical informatics. His curriculum vitae provides details on his education and experience in various medical informatics seminars and workshops. The document discusses how medical informatics combines healthcare and information technology and explores some open source software projects in this domain, such as MedFloss and OpenMRS, that aim to improve healthcare through sharing of knowledge and resources.
Data-driven models for efficient diagnosis and disease management. From Academia to Startups.
Talk given at Crabb Lab Meeting, City University, London UK – Wed 23 August 2017
Susanna-Assunta Sansone presented at the International Conference on Systems Biology on standards to enable sharing of experimental data and metadata. Three types of standards are needed: minimum reporting checklists, controlled vocabularies and terminologies, and data exchange formats. Journals, biocurators, and funders are developing these standards to support comprehensible, reusable, and reproducible research. However, navigating the various standards can be challenging, and communication is needed between standards groups and other stakeholders.
Top 5 Deep Learning and AI Stories - August 31, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Microsoft Azure now supports NVIDIA GPU Cloud for AI/HPC workloads, Pinterest uses AI to enhance its recommendations system, Johns Hopkins researchers use deep learning to combat pancreatic cancer, MIT researchers train neural networks with music videos to separate sounds from each other, and AI bots are now designing chairs (and they're surprisingly good).
This document discusses bioinformatics in the context of the Health Engineering degree at UMA. It begins by defining bioinformatics as an attractive new scientific field at the interface of computer science, biology, and mathematics for discovering new information about diseases and the human body. It then discusses what skills a bioinformatician may need, such as programming, biology knowledge, and statistics/mathematics. Finally, it notes that bioinformatics can be applied in engineering, computing, and clinical roles to facilitate difficult tasks, improve algorithms, and discover new biological insights with computers.
This paper discusses the several research methodologies that can
be used in Computer Science (CS) and Information Systems
(IS). The research methods vary according to the science
domain and project field. However a little of research
methodologies can be reasonable for Computer Science and
Information System.
A Lightning Round presentation for the University of Michigan's Emergent Research Series, July 23, 2016, presenting recent work from the MLA Systematic Review Team 6 on Emerging Technologies.
1) The document summarizes a presentation by Dr. Keith Kaplan at the Medicine 2.0 conference in 2008 about medical blogging and digital pathology.
2) Dr. Kaplan discusses why digital pathology is effective for things like archiving slides electronically and enhanced retrieval. He also blogs about digital pathology.
3) Reasons doctors blog include amplifying their perspective, sharing patient stories, exposing fraudulent ideas, and disseminating new ideas for discussion.
Este documento presenta una actualización sobre el Modelado Multinivel de la Información en Salud (MLHIM). Describe los retos actuales y futuros de la informática en salud, incluyendo el Big Data y la salud móvil. Explica cómo los estándares tradicionales no están preparados para estos nuevos retos y propone el modelado multinivel como una solución. Detalla las especificaciones MLHIM, incluyendo el Modelo de Referencia minimalista implementado en XML Schema y los Modelos de Dominio para modelar el conocimiento clínico.
Mr. Sanjay Dhandare presented a seminar on developing an advanced health care system using the Internet of Things. The presentation discussed monitoring various body parameters using a body area network and transmitting the data via IoT. It proposed objectives like establishing communication between patients and relatives, integrating sensors to monitor temperature, pulse and acceleration. The methodology included a literature review, selecting a controller, interfacing sensors and transmitting data wirelessly. Benefits included speeding communication, immediate alerts in emergencies and reduced mortality. The system was concluded to help reduce deaths by enabling monitoring and alerts during health issues.
Journal Club - Best Practices for Scientific ComputingBram Zandbelt
This document discusses the importance of best practices in scientific computing. It notes that scientists rely heavily on software for research, with many writing their own code. However, most scientists are self-taught in software skills and may be unaware of best practices that could help them write more reliable and maintainable code. The document advocates treating software like a scientific instrument and following practices such as version control, testing, and automation. Adopting these practices could help reduce errors and make software easier to reuse.
KNOWLEDGEBASE SYSTEMS IN NEURO SCIENCE - A STUDYijscai
This document summarizes research on using knowledge-based systems and soft computing techniques in neuroscience. It provides an abstract for an article on this topic and then summarizes several other research papers that have applied expert systems, fuzzy logic, neural networks, and other computational approaches to problems in neurology, including diagnosing stroke type, modeling neuromuscular disorders, analyzing EEG data, and developing diagnostic systems for epilepsy. The document surveys this area and provides high-level summaries of several studies that have developed computational models and expert systems to assist with neurological diagnosis and analysis.
The improvement of health and nutritional status of the society has been one of the thrust areas for social
developments programmes of the country. The present states of healthcare facilities in India are inadequate
when compared to international standards. The average Indian spending on healthcare is much below the
global average spending. Indian healthcare Industry is growing at the rapid pace of more than 18%, the
fastest in the world. The prospects for Indian healthcare are to the tune of USD 40 billion, while global
market is USD 1660 trillion. India has all the prospects to become medical tourism destination of the
world, because it has a large pool of low-cost scientifically trained technical personal and is one of the
favoured counties for cost effective healthcare. As per the reports of Global Burden of Neurological
Disorders Estimations and Projections survey there is big shortage of neurologist in India and around the
world. So Authors would like to develop an innovative IT based solution to help doctors in rural areas to
gain expertise in Neuro Science and treat patients like expert neurologist. This paper aims to survey the
Soft Computing techniques in treating neural patient’s problems used throughout the world
This dissertation examines the impact of intellectual property rights on scientific knowledge diffusion, accumulation, and utilization in the life sciences. It focuses on the Human Genome Project and associated gene patents. It finds that while patenting does not inherently stifle knowledge dissemination, gene patenting can impede temporal knowledge diffusion and decrease citations once patents are granted, as predicted by the "anti-commons effect." However, publications with matched patent-gene pairs receive more citations on average. The dissertation also finds a growing convergence of public/academic and private innovations in life sciences, and evidence that variations in institutional settings associate with different innovation characteristics.
The document discusses evidence farming as an approach to evaluating mobile health (mHealth) applications and interventions. Evidence farming involves extracting evidence from care process data and manipulating care processes with flexible protocols. This allows generating hypotheses at the population level while maintaining some internal validity. The document proposes an open architecture called OpenmHealth to support evidence farming and crowdsourcing evidence through modules for usage analytics, randomized trials, individualized studies, and sharing findings. The goal is a learning community that can rapidly disseminate and iterate on evaluation methods that matter to improving mHealth.
Chattanooga Research Institute PresentationPhilip Bourne
A presentation made to Chattanooga officials about the importance of computational biology to the future of health care and what it might mean to the Chattanooga Research Institute (CRI).
The document discusses remote rehabilitation for the aging population using appropriate technologies. It summarizes the need for remote rehabilitation to address challenges with in-clinic care. It then reviews early US experiences in telerehabilitation and discusses shifting paradigms and opportunities from low-cost technologies like mobile phones and sensors. Finally, it outlines challenges in the Indian environment and proposes projects to develop standards and technologies for remote rehabilitation.
The 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) will be held from August 30 to September 3, 2011 in Boston, Massachusetts. With an expected attendance of 2,500 participants, the conference will feature presentations and discussions on the latest advances in biomedical engineering and healthcare technologies. A variety of sessions are planned, including keynote speeches from leaders in science and technology, panels to discuss bridging research and clinical practice, and social events to promote networking. The goal of the conference is to spark new collaborations that can lead to innovative technologies to improve healthcare.
How To AVOID “Reinventing The Wheel” in Doing Research?Phu H. Nguyen
This document discusses how to avoid "reinventing the wheel" when doing research through the use of systematic literature reviews (SLRs). It begins with an introduction to SLRs, explaining their purpose and benefits. The presenter then outlines the steps for conducting an SLR, from forming a research question to evaluating and summarizing results. Examples of SLRs on model-driven security approaches are provided. The document concludes with an exercise where attendees conduct a mock SLR on beers in Luxembourg.
Acting as Advocate? Seven steps for libraries in the data decadeLizLyon
UKOLN advocates that libraries take seven steps to support data management and open science in the data decade:
1) Provide briefings on cloud data services in partnership with IT services.
2) Build usable data management tools in partnership with researchers.
3) Develop data sustainability strategies and articulate the costs and benefits.
4) Publish case studies on open science to show benefits of universal data sharing.
5) Present at university ethics committees to highlight open data issues.
6) Raise awareness of citizen science opportunities and guidelines for good practice.
7) Promote data citation and attribution to embed in publication practice.
Penggalih Herlambang is a medical doctor currently completing his residency. He obtained his medical degree in 2008 and founded the interest group "SiberMedik" focused on medical informatics. His curriculum vitae provides details on his education and experience in various medical informatics seminars and workshops. The document discusses how medical informatics combines healthcare and information technology and explores some open source software projects in this domain, such as MedFloss and OpenMRS, that aim to improve healthcare through sharing of knowledge and resources.
Data-driven models for efficient diagnosis and disease management. From Academia to Startups.
Talk given at Crabb Lab Meeting, City University, London UK – Wed 23 August 2017
Susanna-Assunta Sansone presented at the International Conference on Systems Biology on standards to enable sharing of experimental data and metadata. Three types of standards are needed: minimum reporting checklists, controlled vocabularies and terminologies, and data exchange formats. Journals, biocurators, and funders are developing these standards to support comprehensible, reusable, and reproducible research. However, navigating the various standards can be challenging, and communication is needed between standards groups and other stakeholders.
Top 5 Deep Learning and AI Stories - August 31, 2018NVIDIA
Read this week's top 5 news updates in deep learning and AI: Microsoft Azure now supports NVIDIA GPU Cloud for AI/HPC workloads, Pinterest uses AI to enhance its recommendations system, Johns Hopkins researchers use deep learning to combat pancreatic cancer, MIT researchers train neural networks with music videos to separate sounds from each other, and AI bots are now designing chairs (and they're surprisingly good).
This document discusses bioinformatics in the context of the Health Engineering degree at UMA. It begins by defining bioinformatics as an attractive new scientific field at the interface of computer science, biology, and mathematics for discovering new information about diseases and the human body. It then discusses what skills a bioinformatician may need, such as programming, biology knowledge, and statistics/mathematics. Finally, it notes that bioinformatics can be applied in engineering, computing, and clinical roles to facilitate difficult tasks, improve algorithms, and discover new biological insights with computers.
This paper discusses the several research methodologies that can
be used in Computer Science (CS) and Information Systems
(IS). The research methods vary according to the science
domain and project field. However a little of research
methodologies can be reasonable for Computer Science and
Information System.
A Lightning Round presentation for the University of Michigan's Emergent Research Series, July 23, 2016, presenting recent work from the MLA Systematic Review Team 6 on Emerging Technologies.
1) The document summarizes a presentation by Dr. Keith Kaplan at the Medicine 2.0 conference in 2008 about medical blogging and digital pathology.
2) Dr. Kaplan discusses why digital pathology is effective for things like archiving slides electronically and enhanced retrieval. He also blogs about digital pathology.
3) Reasons doctors blog include amplifying their perspective, sharing patient stories, exposing fraudulent ideas, and disseminating new ideas for discussion.
Este documento presenta una actualización sobre el Modelado Multinivel de la Información en Salud (MLHIM). Describe los retos actuales y futuros de la informática en salud, incluyendo el Big Data y la salud móvil. Explica cómo los estándares tradicionales no están preparados para estos nuevos retos y propone el modelado multinivel como una solución. Detalla las especificaciones MLHIM, incluyendo el Modelo de Referencia minimalista implementado en XML Schema y los Modelos de Dominio para modelar el conocimiento clínico.
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...Timothy Cook
This document discusses myths and facts about big data in healthcare and proposes an innovation in healthcare IT standards called Multilevel Healthcare Information Modeling (MLHIM) to address some limitations of traditional standards. MLHIM uses XML schemas rather than ADL to define clinical concept constraints in a bottom-up way. This allows for multiple definitions of a concept and makes the standards more adaptable to big data. Tools are being developed to generate, edit, and work with MLHIM clinical models to facilitate reliable big data collection and interchange.
Prof. Luciana Tricai Cavalini, MD, PhD. presents the Multi-Level Healthcare Information Modelling specifications for Third International Symposium on Foundations of Health Information Engineering and Systems (FHIES) 2013 conference. There is also a video on YouTube http://goo.gl/9QPW5x
It is based on the paper: "Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications" to be published in an upcoming issue of Springer LNCS.
Presentation at the Escola Regional de Computação Aplicada à SaúdeTimothy Cook
O documento discute a complexidade do sistema de saúde e os desafios da informatização no setor. A saúde é mais complexa do que outros setores devido a três dimensões: espaço, tempo e ontologia. Isso torna difícil a interoperabilidade semântica entre sistemas. Padrões como HL7 e normas da ISO tentam resolver esses problemas, mas a alta dinâmica do conhecimento médico dificulta a padronização.
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the XIII Brazilian Congress of Health Informatics -2012.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
This document presents the Concept Definition Generator (CDG), an open source tool for defining healthcare concepts using multilevel modeling specifications. The CDG allows domain experts to graphically represent healthcare concepts and automatically generate associated XML schemas. It was developed in Python with a wxPython graphical interface to run cross-platform. The CDG addresses the significant challenges of knowledge representation for semantic interoperability of electronic health records. Future work includes further standardizing healthcare terminologies and developing proper modeling tools.
Dr. Luciana Cavalini's presentation at the XI Workshop on Medical Informatics in 2012.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation at the 14th International Conference on e-Health Networking - Application and Services in 2012 .
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
1) O documento discute a modelagem de conceitos clínicos e psicológicos relacionados ao diagnóstico de demências para auxiliar no diagnóstico médico computadorizado.
2) É apresentada uma revisão sistemática da literatura sobre testes neurológicos utilizados no diagnóstico de suspeita de demência em atenção primária.
3) O teste Free and Cued Selective Reminding é destacado e seus componentes são modelados em arquétipos segundo as especificações do framework openEHR para modelagem de sistemas
Este documento apresenta uma estratégia de modelagem do conhecimento de enfermagem baseada na modelagem multinível de sistemas de informação em saúde. Através de uma revisão sistemática, instrumentos de coleta de dados da área de enfermagem foram obtidos e o modelo de Fehring para débito cardíaco reduzido foi selecionado para modelagem. Os conceitos clínicos deste modelo foram mapeados para arquétipos openEHR e modelados como Constraint Definition Designs de acordo com as especificações MLHIM.
Presentation WSCHA 2010 - in portugueseTimothy Cook
O documento discute os desafios da modelagem de sistemas de informação em saúde devido à complexidade do sistema de saúde e propõe a abordagem da modelagem multinível como uma solução mais eficiente, na qual o conhecimento do domínio é modelado separadamente da implementação do software por meio de arquétipos.
Presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation Minicourse for Summer Program LNCC 2010Timothy Cook
Presentation of the Minicourse for Summer Program at the National Laboratory for Scientific Computing - LNCC - in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Dr. Luciana Cavalini's presentation at the 6th meeting of the Brazilian Python Community in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 13th International Congress on Medical Informatics - MEDINFO - in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
1. Healthcare Information
Models & Applications
Timothy W. Cook, MSc.
Health Informatics Research & Consulting
timothywayne.cook@gmail.com
June 28,2010 1st Workshop on Scientific Computing in Health Applications
2. Ralph Waldo Emerson
I hate
quotations.
Tell me what
you know.
June 28,2010 1st Workshop on Scientific Computing in Health Applications
3. Keep everything as simple as possible;
but no simpler!
June 28,2010 1st Workshop on Scientific Computing in Health Applications
4. Holy Grail of Health Care
The Longitudinal, Patient Controlled,
Future Proof Electronic
Healthcare Applications
1st Workshop on Scientific Computing in Health Applications
5. Φ = Golden Ratio
June 28,2010 1st Workshop on Scientific Computing in Health Applications
7. Current Approach
Requirements gathering within a limited scope,
build data structures and write the software.
For more than 45 years we have shown that in
healthcare this approach is flawed.
June 28,2010 1st Workshop on Scientific Computing in Health Applications
8. Insanity: Doing the same thing over and over again,
and expecting a different result.
June 28,2010 1st Workshop on Scientific Computing in Health Applications
9. Multi-Level Modeling
Components
Reference Model
Concept Constraint Definitions
Template Constraint Definitions
Relationship of openEHR & MLHIM
June 28,2010 1st Workshop on Scientific Computing in Health Applications
10. Words
Observation
Evaluation
Instruction
Action
Entry
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11. Words are but symbols for the relations of
things to one another and to us; nowhere
do they touch upon absolute truth.
--Friedrich Nietzsche
June 28,2010 1st Workshop on Scientific Computing in Health Applications
12. Observation
10 entries on dictionary.com
All nouns – all very similar
(exception:Navigation)
One specific to medicine
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13. Evaluation
2 entries at dictionary.com
Noun
One specific to medicine
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14. Instruction
6 entries on dictionary.com
Nouns
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15. Action
19 Nouns
1 Adjective
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16. Entry
13 Nouns
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17. Semantic Context
Having all of the information about a piece of
data; available everywhere.
Linking Concepts
Healthcare DATA: 101
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18. 101
Is it a component of BP measured in mmMg?
Is it body temperature in degrees Fahrenheit?
Is it body weight measured in kg or lbs.?
Is it body length/height in cm?
June 28,2010 1st Workshop on Scientific Computing in Health Applications
19. New Approach
Create a complete “information” model that
encapsulates that information with the data.
Forever in time and space.
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20. Experience without theory is blind, but theory
without experience is mere intellectual play.
--Immanuel Kant
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21. MLHIM Health Information
Platform
CCDs
XPath Reference TCDs
XQuery Model
CDOM XML
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22. What is in the Reference Model?
The electronic health record
EHR for one person
High-level organisation of the EHR
Folders
Common
e.g. per episode, per clinical speciality
Set of entries committed at one date/time
Compositions e.g. progress note, report, letter, test result
Clinical headings reflecting the workflow
Sections and consultation/reasoning process
Clinical “statements” about Observations,
Entries Evaluations, and Instructions
Compound entries
Clusters e.g. blood pressure, full blood count
Element entries
Elements e.g. reason for encounter, body weight
e.g. Coded terms from term sets,
Data values measurements with units
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25. June 28,2010 1st Workshop on Scientific Computing in Health Applications
26. Security Features
Separation
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27. Principles
The components of the Reference Model are like LEGO
brick specifications
Constraint Definitions = instructions/designs
constraining the use of LEGO pieces to create
meaningful structures RM
Instances
Concept A Concept B
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28. June 28,2010 1st Workshop on Scientific Computing in Health Applications
29. June 28,2010 1st Workshop on Scientific Computing in Health Applications
30. Ordered DATA_VALUE INTERVAL<T>
(rm.support.assumed) (rm.data_types.basic) (rm.support.assumed)
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31. June 28,2010 1st Workshop on Scientific Computing in Health Applications
32. June 28,2010 1st Workshop on Scientific Computing in Health Applications
33. June 28,2010 1st Workshop on Scientific Computing in Health Applications
34. OSHIP
Open Source
Health Information
Platform
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35. OSHIP
➔ A MLHIM implementation in Python
➔Provides a rapid application
development environment for a variety
of healthcare applications
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36. OSHIP
➔Heavy re-use of existing
open source components
➔The Zope Tool Kit (ZTK)
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37. OSHIP
➔ Choice of HTTP servers
➔Possible GUI interfaces
➔Choice of RDBMs and OODBMs
➔Internationalization/localization (i18n/l10n)
➔Fine-grained security framework
➔XML based configuration files
➔Designer friendly templating language
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38. OSHIP – Current Status
➔ Reference Model
➔Constraint Model
➔Proven Infrastructure
➔Complete Documentation
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39. Label on a 500 piece,
jigsaw puzzle box
500piece puzzle:
Some assembly
required.
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40. Why MLHIM?
In order to fully embrace open
source and open content ideals
and processes.
June 28,2010 1st Workshop on Scientific Computing in Health Applications
41. Thank You!
Timothy W. Cook, MSc.
Health Informatics Research & Consulting
timothywayne.cook@gmail.com
http://www.linkedin.com/in/timothywaynecook
June 28,2010 1st Workshop on Scientific Computing in Health Applications