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{bio,medical} informatics


Thursday, September 21, 2000

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find related articles. powered by google. LinuxMedNews Innovation, Open Source and Lessig
"Wayne Wilson on the openhealth-list has a profoundly interesting summary (reprinted here with permission) of a lecture given by Lawrence Lessig, Professor for Entrepreneurial Legal Studies at Harvard. His bio and a collection of his thoughtful articles can be found here. Wilson writes: 'Lessig is a legal scholar and it is not immediately obvious that legal arguments would be appealing to us, but I think they are.' "
find related articles. powered by google. Openhealth The Openhealth list Archive
"The Openhealth mailing list is a place for IT professionals and members of the public who are interested in health care and open source software to gather and discuss the issues of this field. This list is provided as a public service by Minoru Development Corporation. While Minoru staff are participants of the list, they do not direct list content. Areas of discussion include:
- Deployment stories
- Discussion of open source projects and products
- Question and answer
- Open source licences and their applicability to health care
- Authentication and privacy issues for data over the Internet
- Obstacles for open source software in health care ”
redux [07.27.00]
find related articles. powered by google. Informatics Review Open Source Software in Healthcare
"Good software forms seamless connections; as George Orwell said of prose, the best is like a window pane: transparent. The obscurity of commercial binaries is an obstacle to good quality communication between systems. In healthcare, good communication is too important to remain proprietary. Software developers should remain confident that there will always be work for the future in discovering, providing, and adapting applications for organizations, and training people to use them. This, rather than the sharp-suited gouging of Bill Gates wannabees, should become the predominant business model for software in the British NHS. Software engineering will become a profession more like medicine and the law: in which practitioners earn a fair hourly reward for their experience at interpreting, evaluating and applying knowledge from a specialized domain to the benefit of their clients. Current models, which restrict the sharing and development of knowledge, are certainly counterproductive and arguably unethical. Open source is the future: all we have to do is built it."

find related articles. powered by google. The Washington Monthly Reboot! How Linux and open-source development could change the way we get things done
"Imagine a scale with all the advantages of a proprietary model on the left and all the advantages of an open-source model on the right. Pretend everybody who wants to solve a problem or build a project has a scale like this. If it tips to the left, the proprietary model is chosen; if it tips to the right, the open model is chosen. Now, as connectivity increases with the Internet, and computer power increases exponentially, more and more weight accumulates on the right. Every time computer power increases, another household gets wired, or a new simulator is built online, a little more weight is added to the right. Having the example of Linux to learn from adds some more weight to the right; the next successful open-source project will add even more.

"Perhaps the next boom in open source will come from the law; perhaps from drug X; perhaps it will be something entirely different. Although it's difficult to tell, it is quite likely that the scale is going to tip for some projects and that there will be serious efforts at open-source development in the next decade. Moreover, it's quite likely some of these projects will work."

redux [06.08.00]
find related articles. powered by google. GeneLetter Managed care needs to prepare for biotech revolution
"Unless they begin preparing now, health plan executives and medical directors could be blindsided by the revolution in medicine that will come with the mapping of the human genome, members of a managed care conference keynote panel warned on Monday."

"You think the genetic revolution is still 3-to-5 years off for your health plans," said Dr. Billings, who also serves as deputy director and chief medical officer of the Heart of Texas Veterans Health Care System. "I have to tell you, you better wake up. The tsunami is on the horizon," he warned.

For example, Schering-Plough's Dr. Haverty predicted that gene-based information could lead to the identification of many different types of asthma. As a result, health plans will need to develop many new codes and to upgrade their information systems, he said."

redux [06.17.00]
find related articles. powered by google. Stanford Medical Informatics Preprint Archive Bioinformatics in Support of Molecular Medicine
"Basic biological science has always had an impact on clinical medicine (and clinical medical information systems), and is creating a new generation of epidemiologic, diagnostic, prognostic, and treatment modalities. Bioinformatics efforts that appear to be wholly geared towards basic science are likely to become relevant to clinical informatics in the coming decade. For example, DNA sequence information and sequence annotations will appear in the medical chart with increasing frequency. The algorithms developed for research in bioinformatics will soon become part of clinical information systems. In this paper, I briefly review the intellectual roots of bioinformatics and how the field has evolved in the last few years. Fortunately, a core set of scientific paradigms have provided a focus to the field. Even in this short period, however, there has been a change in the nature of the questions being asked and the types of experiments being attempted. These changes are consistently leading bioinformatics towards problems of clinical relevance. Some molecular biology information systems already have important clinical implications. I will discuss the differences in the culture and approach to science of clinical informatics and bioinformatics, but will argue that the two disciplines share important intellectual challenges which make them very closely allied fields (despite the cultural differences). Finally, I will identify a few areas common to both disciplines where developments in one field may help catalyze faster progress in the other. For example, useful database integration technologies have (arguably) matured more rapidly within bioinformatics than in clinical informatics. At the same time, clinical informatics embraced the idea of controlled terminologies relatively early, and offers lessons to those in bioinformatics attempting similar tasks."

redux [04.28.00]
find related articles. powered by google. Nature Open-source work even more vital to genome project than to software
"We note with dismay and alarm the controversy concerning access, distribution and patenting of the human genome sequence (Nature 404, 317; 2000 & Nature 404, 324; 2000). We wish to point out some analogies between the human genome sequencing efforts and 'open-source' software development, which have implications for the data-release policy of the public sequencing effort."

"The reasons why the Linux project could succeed against commercial wisdom have been analysed by Eric S. Raymond in his book The Cathedral and the Bazaar (O'Reilly, 1999). Most of these findings are of relevance to academic and commercial benefits arising from human genome sequencing." [via bioinformatics.org]

find related articles. powered by google. LinuxMedNews LinuxMedNews Open Source Medical Project List
""An army of LinuxMedNews correspondents (me and my Chihuahua Cindy) combed the Internet to form an alphabetized, comprehensive list of medical open source medical projects resulting in 17(!) such projects and many other interesting sites. If your project or site isn't listed, please e-mail. We have opened a new section on medical software companies that support Linux.""



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Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.

BIOINFORMATICS IN THE 21st CENTURY

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