Electronic Patient Records: Some Answers to the Data Representation and Reuse Challenges

Meystre, Stéphane M.

doi:10.1055/s-0038-1638525

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…All these papers are also concerned, to some extent, with medical information representation, whether it relates to time [11], negation [12], biomedical terms [13], queries [14] or patient's clinical data [15]. Finally, as already mentioned in the previous IMIA Yearbook 2007 [17], NLP techniques play a growing key role for extracting structured data from narrative texts [18,19]. Taking advantage of both the flexibility and expressive power of natural language with the computational tractability of structured data should lead to more powerful EHR based on structured narrative [20].…”

Section: Discussionmentioning

confidence: 99%

Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access

Rassinoux

2008

Yearb Med Inform

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SummaryObjectives: To summarize current outstanding research in the field of decision support, knowledge representation and management. Method: Synopsis of the articles selected for the IMIA Yearbook 2008. Results: Five papers from international peer reviewed journals have been selected for the section on decision support, knowledge representation and management. They address a wide range of topics such as the recognition and extraction of negation or time from clinical narratives, the use of ontological elements to reduce the complexity of natural language processing applications or to strengthen the precision of document retrieval as well as the benefits of integrating clinical decision support within computer provider order entry. Conclusions: The best paper selection brings to light that whatever the methodological approach used in decision support, knowledge representation and management, all applications benefit from manipulating information that is expressed in both a meaningful and structured way. In order to combine the flexibility and expressive power of natural language with the computational tractability of structured data, the electronic health record based on structured narrative offers new perspectives.

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Section: Discussionmentioning

confidence: 99%

Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access

Rassinoux

2008

Yearb Med Inform

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“…Scientific papers concerning medical database systems mainly analyze health information technology in general or describe specific, individually developed database systems [1][2][3][4][5][6][7][8][9][10].…”

Section: Discussionmentioning

confidence: 99%

Implementation of a Medical Database System for a Radiosurgery Center

Kufeld

Fürweger²,

Drexler³

et al. 2009

Cureus

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Objective: To develop and integrate a database system into the heterogeneous network environment of a dedicated radiosurgery treatment center with the goal to facilitate documentation, quality assurance, patient care, and scientific research. Methods: We customized a database on the basis of the commercial software FileMaker Pro® (FileMaker Inc., Santa Clara, CA). The multi-dimensional database system was fully integrated into the network infrastructure of the center. Automated data import and export was established utilizing programmed scripts. Specially trained medical assistants are in charge of the data management. Results: The database stores medical information prospectively and integrates all data of the radiosurgical process, from basic patient data to treatment parameters and follow-up information. All information is quickly available at any workplace in the center. Continuous adaptation of the data management to daily workflows ensures the accuracy and validity of the stored information. Automated scripts generate up-to-date reports and statistical analyses. Conclusions: The database enhances the quality of documentation, treatment, and patient care as well as comfort and efficiency in daily information workflows. To achieve this, the allocation of personnel with responsibility for the database system as well as the data management is crucial.

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“…for infectious diseases) or evaluation of professional practices: (e.g. adequacy to clinical guidelines) (Jensen et al 2013;Meystre 2007).…”

Section: Secondary Reuse Of the Patient Datamentioning

confidence: 99%

Representation of Patient Data in Health Information Systems and Electronic Health Records

Cuggia

Avillach

Daniel³

2013

Medical Informatics, E-Health

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With the development of IT, more and more hospitals and health facilities are currently using electronic health records (EHR) in replacement of the paper-based patient record. The main goal of an EHR is to improve the health care process. Moreover, EHRs make easier the reuse of patient data for other purpose like research studies or management. In this chapter, we first discuss the added value of EHRs. Then we present their main categories and the different ways to represent and coding data in such systems. The place of interoperability standards is critical to integrate EHRs in Health information system. Therefore we present and discuss the two main semantic standards (HL7 and OpenEHR) used to structure and code clinical data in EHRs as well as the initiatives encouraging vendors to implement them.

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Electronic Patient Records: Some Answers to the Data Representation and Reuse Challenges

Cited by 7 publications

References 15 publications

Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access

Decision Support, Knowledge Representation and Management: Structuring Knowledge for Better Access

Implementation of a Medical Database System for a Radiosurgery Center

Representation of Patient Data in Health Information Systems and Electronic Health Records

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