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Business Intelligence in Biomedicine (2012) Business Intelligence in Biomedicine (2012)

Description

This course introduces the concept of business intelligence, both from a methodological point of view and from an applied point of view. Following a typical process defined in CRISP-DM, we will address all phases of a project, from problem analysis to the implementation of a system through some of the tools available in the market more commonly used. In addition, we introduce pattern discovery techniques that are common in clinical applications, as well as other tools for developing intelligent systems. There will also professional companies involved in business intelligence and health that show the applied view of the content seen on the course. The issues of data mining and application will vary depending on the background of the students enrolled. This course introduces the concept of business intelligence, both from a methodological point of view and from an applied point of view. Following a typical process defined in CRISP-DM, we will address all phases of a project, from problem analysis to the implementation of a system through some of the tools available in the market more commonly used. In addition, we introduce pattern discovery techniques that are common in clinical applications, as well as other tools for developing intelligent systems. There will also professional companies involved in business intelligence and health that show the applied view of the content seen on the course. The issues of data mining and application will vary depending on the background of the students enrolled.

Subjects

ón e Inteligencia Artificial | ón e Inteligencia Artificial | electronic health records | electronic health records | biosignals | biosignals | healthcare informatics | healthcare informatics | interoperability | interoperability | clinical image | clinical image | semantic interoperability | semantic interoperability | áticos | áticos | medical informatics | medical informatics

License

http://creativecommons.org/licenses/by-nc-sa/3.0/

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Biomedical Information Systems (2012) Biomedical Information Systems (2012)

Description

Biomedical Information System (BIS) is a course that provides a genera and interdisciplinar view of the medical informatics from the Computer Scientist perspective, considering theoretical/practicas, professional/research dimensions. This course focuses on the following topics: health services and information management, health information system development, biosignal processing, medical imaging, electronic health record formats, international standards and interoperability. Biomedical Information System (BIS) is a course that provides a genera and interdisciplinar view of the medical informatics from the Computer Scientist perspective, considering theoretical/practicas, professional/research dimensions. This course focuses on the following topics: health services and information management, health information system development, biosignal processing, medical imaging, electronic health record formats, international standards and interoperability.

Subjects

ón e Inteligencia Artificial | ón e Inteligencia Artificial | electronic health records | electronic health records | biosignals | biosignals | healthcare informatics | healthcare informatics | interoperability | interoperability | clinical image | clinical image | semantic interoperability | semantic interoperability | áticos | áticos | medical informatics | medical informatics

License

http://creativecommons.org/licenses/by-nc-sa/3.0/

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HST.921 Information Technology in the Health Care System of the Future (MIT) HST.921 Information Technology in the Health Care System of the Future (MIT)

Description

Includes audio/video content: AV faculty introductions. This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class Includes audio/video content: AV faculty introductions. This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class

Subjects

health care | health care | health care policy | health care policy | patient behavior | patient behavior | information management | information management | medical informatics | medical informatics | medical records | medical records | health record | health record | online medicine | online medicine | PHR | PHR | EHR | EHR | patient privacy | patient privacy | entrepreneurship | entrepreneurship | start-up | start-up | innovation | innovation | cybermedicine | cybermedicine | telemedicine | telemedicine | non-profit | non-profit | pharmaceutical | pharmaceutical | insurance | insurance | hospital | hospital | doctor | doctor | patient | patient | medicine | medicine | social networking | social networking | economies of scale | economies of scale | patient education | patient education | self-care | self-care | network integration | network integration | decision support tools | decision support tools | disease managment | disease managment | health economics | health economics | clinical effectiveness | clinical effectiveness | medical software | medical software | mobile applications | mobile applications | intellectual property | intellectual property

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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HST.950J Biomedical Computing (MIT) HST.950J Biomedical Computing (MIT)

Description

Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics. Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

Subjects

HST.950 | HST.950 | medical informatics | medical informatics | bioinformatics | bioinformatics | developing countries | developing countries | medical data | medical data | clinical data | clinical data | probabilistic models | probabilistic models | graphical models | graphical models | information theory | information theory | decision support | decision support | expert systems | expert systems | personal health records | personal health records | bayesian networks | bayesian networks | bayesian models | bayesian models | health information systems | health information systems | public health informatics | public health informatics | predictive genomics | predictive genomics | patient data privacy | patient data privacy

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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HST.950J Biomedical Computing (MIT)

Description

Analyzes computational needs of clinical medicine reviews systems and approaches that have been used to support those needs, and the relationship between clinical data and gene and protein measurements. Topics: the nature of clinical data; architecture and design of healthcare information systems; privacy and security issues; medical expertsystems; introduction to bioinformatics. Case studies and guest lectures describe contemporary systems and research projects. Term project using large clinical and genomic data sets integrates classroom topics.

Subjects

HST.950 | medical informatics | bioinformatics | developing countries | medical data | clinical data | probabilistic models | graphical models | information theory | decision support | expert systems | personal health records | bayesian networks | bayesian models | health information systems | public health informatics | predictive genomics | patient data privacy

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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HST.921 Information Technology in the Health Care System of the Future (MIT)

Description

This innovative, trans-faculty subject teaches how information technologies (IT) are reshaping and redefining the health care marketplace through improved economies of scale, greater technical efficiencies in the delivery of care to patients, advanced tools for patient education and self-care, network integrated decision support tools for clinicians, and the emergence of e-commerce in health care. Student tutorials provide an opportunity for interactive discussion. Interdisciplinary project teams comprised of Harvard and MIT graduate students in medicine, business, law, education, engineering, computer science, public health, and government collaborate to design innovative IT applications. Projects are presented during the final class.   Starting in Spring 2010, this course will be ti

Subjects

health care | health care policy | patient behavior | information management | medical informatics | medical records | health record | online medicine | PHR | EHR | patient privacy | entrepreneurship | start-up | innovation | cybermedicine | telemedicine | non-profit | pharmaceutical | insurance | hospital | doctor | patient | medicine | social networking | economies of scale | patient education | self-care | network integration | decision support tools | disease managment | health economics | clinical effectiveness | medical software | mobile applications | intellectual property

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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