Mobile Pharmacology
Identifieur interne : 000859 ( Istex/Corpus ); précédent : 000858; suivant : 000860Mobile Pharmacology
Auteurs : Patrik Eklund ; Johan Karlsson ; Annica N SlundSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: In mobile usage scenarios, patient care involving point of care considerations build upon increasingly complex information and information structures. Furthermore, communication of information must be enabled regardless of space and time. Decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. As also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. In these developments, public health problems provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacological treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. The public is now also one of the driving forces in these developments. As electronic prescriptions and generic substitutes are appreciated by the public, we experience how knowledge in its various forms provide success stories in this field.
Url:
DOI: 10.1007/978-3-540-77368-9_51
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ISTEX:73B9B9169D306B05951C9AF599A1503E0B56BDF2Le document en format XML
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Furthermore, communication of information must be enabled regardless of space and time. Decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. As also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. In these developments, public health problems provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacological treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. The public is now also one of the driving forces in these developments. As electronic prescriptions and generic substitutes are appreciated by the public, we experience how knowledge in its various forms provide success stories in this field.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Patrik Eklund</name><affiliations><json:string>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</json:string><json:string>E-mail: peklund@cs.umu.se</json:string></affiliations></json:item><json:item><name>Johan Karlsson</name><affiliations><json:string>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</json:string><json:string>E-mail: johank@cs.umu.se</json:string></affiliations></json:item><json:item><name>Annica Näslund</name><affiliations><json:string>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</json:string><json:string>E-mail: dva98and@cs.umu.se</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: In mobile usage scenarios, patient care involving point of care considerations build upon increasingly complex information and information structures. 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Furthermore, communication of information must be enabled regardless of space and time. Decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. As also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. In these developments, public health problems provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacological treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. The public is now also one of the driving forces in these developments. 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Furthermore, communication of information must be enabled regardless of space and time. Decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. As also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. In these developments, public health problems provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacological treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. The public is now also one of the driving forces in these developments. As electronic prescriptions and generic substitutes are appreciated by the public, we experience how knowledge in its various forms provide success stories in this field.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Mobile Pharmacology</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Mobile Pharmacology</title></titleInfo><name type="personal"><namePart type="given">Patrik</namePart><namePart type="family">Eklund</namePart><affiliation>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</affiliation><affiliation>E-mail: peklund@cs.umu.se</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Johan</namePart><namePart type="family">Karlsson</namePart><affiliation>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</affiliation><affiliation>E-mail: johank@cs.umu.se</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Annica</namePart><namePart type="family">Näslund</namePart><affiliation>Umeå University, Department of Computing Science, SE-901 87 Umeå, Sweden</affiliation><affiliation>E-mail: dva98and@cs.umu.se</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: In mobile usage scenarios, patient care involving point of care considerations build upon increasingly complex information and information structures. Furthermore, communication of information must be enabled regardless of space and time. Decision support and guidelines are expected to communicate with other subsystems, such as those provided by information sources and hardware devices. As also these subsystems may build upon intelligence and involve their own usage scenarios, this implies further complications also the knowledge representation and software engineering tasks. In these developments, public health problems provide case studies with potentially rather huge impacts. Examples are provided e.g. by guidelines involving pharmacological treatment. Knowledge and reasoning need to interact with information management, and often involves utility of various devices. Well organized databases for pharmacological information are necessary for successful engineering of mobile extensions in these case studies. The public is now also one of the driving forces in these developments. As electronic prescriptions and generic substitutes are appreciated by the public, we experience how knowledge in its various forms provide success stories in this field.</abstract><relatedItem type="host"><titleInfo><title>Advances in Hybrid Information Technology</title><subTitle>First International Conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, Revised Selected Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Marcin</namePart><namePart type="given">S.</namePart><namePart type="family">Szczuka</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Howard</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dominik</namePart><namePart type="family">Ślȩzak</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Haeng-kon</namePart><namePart type="family">Kim</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Tai-hoon</namePart><namePart type="family">Kim</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Il-seok</namePart><namePart type="family">Ko</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Geuk</namePart><namePart type="family">Lee</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Peter</namePart><namePart type="given">M.</namePart><namePart type="given">A.</namePart><namePart type="family">Sloot</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2007</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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