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

2007 ◽  
Vol 16 (01) ◽  
pp. 47-48
Author(s):  
S. Meystre ◽  
Keyword(s):  
Language Processing ◽  
Electronic Patient Record ◽  
Data Entry ◽  
Data Representation ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Clinical Text ◽  
Part Of Speech ◽  
Excellent Research ◽  
Speech Information

SummaryTo summarize current excellent research in the field of patient records.Synopsis of the papers selected for the IMIA Yearbook 2007.The Electronic Patient Record encompasses a broad field of research and development. Some current research topics were selected for this IMIA Yearbook: EHR representation and communication standards, and secondary uses of clinical data for research and decision support. Four excellent papers representing the research in those fields were selected for the Patient Records section.The best papers selected for this section focus on the analysis and comparison of two important clinical documents representation standards, on direct structured data entry, on the use of Natural Language Processing to detect adverse events, and on the development and evaluation of a clinical text corpus annotated for part-of-speech information.

scholarly journals Section 2: Patient Records: Electronic Patient Records and their Benefit for Patient Care

2006 ◽  
Vol 15 (01) ◽  
pp. 40-42
Author(s):  
P. Knaup ◽  
Keyword(s):  
Patient Care ◽  
Electronic Patient Record ◽  
Patient Record ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Quality Patient Care ◽  
Access To Health ◽  
Excellent Research ◽  
Therapy Attitudes ◽  
Ward Rounds

SummaryTo summarize current excellent research in the field of patient records.Synopsis of the articles selected for the IMIA Yearbook 2006.Current research in the field of patient records analyses users’ needs and attitudes as well as the potential and limitations of electronic patient record systems. Particular topics are the questions physicians have when assessing patients during ward rounds, the timeliness of results when ordered electronically, the quality of documenting haemophilia home therapy, attitudes towards patient access to health records and adequate strategies for record linkage in dependence on the intended purpose.The best paper selection of articles on patient records shows examples of excellent research on methods used for the management of patient records and for processing their content as well as assessing the potential, limitations of and user attitudes towards electronic patient record systems. Computerized patient records are mature, so that they can contribute to high quality patient care and efficient patient management.

scholarly journals The Electronic Patient Record as an Organizational Artifact

2011 ◽  
pp. 78-89 ◽  
Author(s):  
Pieter Toussaint ◽  
Marc Berg
Keyword(s):  
Electronic Patient Record ◽  
Healthcare Professionals ◽  
Research Effort ◽  
Patient Record ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Specific Research ◽  
Technological Bias

The research effort on Electronic Patient Records (EPRs) has rapidly increased in the last decade. Much of this research focussed on standardisation and technical realizations. We will describe such a research effort in this chapter and evaluate its success. Our main finding is that the lack of success of this specific research effort is mainly due to its technological bias. Although standards (both conceptual and technical) are important prerequisites for the realisation of an EPR, organisational issues are decisive for success. The role played by these organisational issues will be illustrated by analysing the findings of the case study presented in the chapter. We will argue that research on EPRs should be more focussed on the role of an EPR as an organisational artefact that coordinates the work of healthcare professionals, in order to lead to successful implementations.

scholarly journals An Algorithm for Morphological Segmentation of Esperanto Words

2016 ◽  
Vol 105 (1) ◽  
pp. 63-76
Author(s):  
Theresa Guinard
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Morphological Analysis ◽  
Compound Words ◽  
Part Of Speech ◽  
Semantic Classes ◽  
Morphological Segmentation ◽  
Segmentation Accuracy ◽  
N Gram ◽  
Speech Information

Abstract Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of-speech information) is a useful preprocessing step in many natural language processing applications, especially for synthetic languages. Compound words from the constructed language Esperanto are formed by straightforward agglutination, but for many words, there is more than one possible sequence of component morphemes. However, one segmentation is usually more semantically probable than the others. This paper presents a modified n-gram Markov model that finds the most probable segmentation of any Esperanto word, where the model’s states represent morpheme part-of-speech and semantic classes. The overall segmentation accuracy was over 98% for a set of presegmented dictionary words.

scholarly journals Fusing Part-of-Speech Information in Low-Resource Neural Paraphrase Generation

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiaoqiang Chi ◽  
Yang Xiang
Keyword(s):  
Language Processing ◽  
Sequence Learning ◽  
Neural Nets ◽  
Linguistic Knowledge ◽  
Underlying Assumption ◽  
Low Resource ◽  
Part Of Speech ◽  
Multiple Datasets ◽  
Speech Information ◽  
Paraphrase Generation

Paraphrase generation is an essential yet challenging task in natural language processing. Neural-network-based approaches towards paraphrase generation have achieved remarkable success in recent years. Previous neural paraphrase generation approaches ignore linguistic knowledge, such as part-of-speech information regardless of its availability. The underlying assumption is that neural nets could learn such information implicitly when given sufficient data. However, it would be difficult for neural nets to learn such information properly when data are scarce. In this work, we endeavor to probe into the efficacy of explicit part-of-speech information for the task of paraphrase generation in low-resource scenarios. To this end, we devise three mechanisms to fuse part-of-speech information under the framework of sequence-to-sequence learning. We demonstrate the utility of part-of-speech information in low-resource paraphrase generation through extensive experiments on multiple datasets of varying sizes and genres.

Big is Beautiful: Electronic Patient Records in Large Norwegian Hospitals 1980s – 2001

2003 ◽  
Vol 42 (04) ◽  
pp. 366-370 ◽  
Author(s):  
G. Ellingsen ◽  
E. Monteiro
Keyword(s):  
Information Systems ◽  
Electronic Patient Record ◽  
Public Institutions ◽  
Small Scale ◽  
General Tendency ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Crucial Aspect ◽  
Technological Complexity ◽  
Interpretative Approach

Summary Objectives: This paper aims to describe and analyze the prolonged efforts – spanning close to two decades – of developing and using electronic patient records in the large, university-based hospitals in Norway. Methods: This study belongs to an interpretative approach to the development and use of information systems. Results: The increase in organizational, institutional, political and technological complexity has been seriously underestimated. This paper describes and analyses the prolonged efforts – spanning close to two decades – of developing and using EPRs in the large, university-based hospitals in Norway. The investments involved were considerable, implying that a crucial aspect of these efforts has been the way alliances have been forged with public institutions and agendas. Conclusions: The conditions for small-scale, bottom-up and evolutionary approaches never succeeded in constructing themselves as a viable alternative to the larger, more sweeping electronic patient record initiative, reiterating a more general tendency to privilege the more comprehensive and daring projects.

Political Attitudes on the Dutch Electronic Patient Record

2016 ◽  
pp. 1207-1221
Author(s):  
Evert Mouw
Keyword(s):  
The Netherlands ◽  
Electronic Patient Record ◽  
Political Attitudes ◽  
Patient Record ◽  
The Political ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Political Debate ◽  
Opt Out ◽  
The Law

In the Netherlands, the introduction of a nationwide electronic patient record (EPR) infrastructure was rejected in 2011 after a heated political debate. Such debate is influenced by the political attitudes of politicians and voters, such as their trust in governments. The objective is to explore the relation between political attitudes of individuals and the priority they give to health privacy. The method is from a new survey that was developed; the Health Privacy and Political Attitudes Survey. The survey is as compatible as possible with a few well-known surveys. With 218 respondents enough data was collected for a first explorative study. Little correlations were found between political attitudes and the individual's priorisation of health privacy or their trust in a nationwide EPR. In general, most respondents valued their health privacy highly and trust in a nationwide EPR was low, irrespective of their political affiliation or their political attitudes. One exception were respondents with authoritarian attitudes. Such individuals had, on average, more trust in (government regulated) electronic records. More trust in the law correlates with less fear for problems with the EPR. Interestingly, higher educated and older respondents have, on average, the same level of trust in the EPR as others but are more apt to act when they distrust the system (opt-out). In general, political attitudes and one's trust in electronic patient records (EPRs) are not strongly related, but individuals who score high on authoritarian attitudes and trust in the law are more likely to also trust EPRs. Still, nearly everybody places a high value on health privacy, so EPR providers should be careful in this regard.

Medical Narratives and Patient Analogs: The Ethical Implications of Electronic Patient Records

1999 ◽  
Vol 38 (04/05) ◽  
pp. 253-259 ◽  
Author(s):  
E.-H. W. Kluge
Keyword(s):  
Health Care ◽  
Health Care Professionals ◽  
Electronic Patient Record ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Specific Patient ◽  
Patient Profile ◽  
Ethical Implications ◽  
Data Space ◽  
Medical Narratives

AbstractAn electronic patient record consists of electronically stored data about a specific patient. It therefore constitutes a data-space. The data may be combined into a patient profile which is relative to a particular speciality as well as phenomenologically unique to the specific professional who constructs the profile. Further, a diagnosis may be interpreted as a path taken by a health care professional with a certain specialty through the data-space relative to the patient profile constructed by that professional. This way of looking at electronic patient records entails certain ethical implications about privacy and accessibility. However, it also permits the construction of artificial intelligence and competence algorithms for health care professionals relative to their specialties.

Electronic Patient Records in Medical Practice: A Multidisciplinary Endeavor

1999 ◽  
Vol 38 (04/05) ◽  
pp. 287-288 ◽  
Author(s):  
J. van der Lei ◽  
P. W. Moorman ◽  
M. A. Musen
Keyword(s):  
Medical Practice ◽  
Patient Records ◽  
Electronic Patient Records

Postmarketing Surveillance Based on Electronic Patient Records: The IPCI Project

1999 ◽  
Vol 38 (04/05) ◽  
pp. 339-344 ◽  
Author(s):  
J. van der Lei ◽  
B. M. Th. Mosseveld ◽  
M. A. M. van Wijk ◽  
P. D. van der Linden ◽  
M. C. J. M. Sturkenboom ◽  
...  
Keyword(s):  
General Practitioner ◽  
General Practitioners ◽  
Validation Studies ◽  
Resource Planning ◽  
Routine Practice ◽  
Patient Records ◽  
Postmarketing Surveillance ◽  
Electronic Patient Records ◽  
Use Of Data ◽  
Data Requirements

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

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