A Model for Structured Data Entry Based on Explicit Descriptional Knowledge

1994 ◽  
Vol 33 (05) ◽  
pp. 454-463 ◽  
Author(s):  
A. M. van Ginneken ◽  
J. van der Lei ◽  
J. H. van Bemmel ◽  
P. W. Moorman
Keyword(s):  
Domain Knowledge ◽  
Data Entry ◽  
Knowledge Bases ◽  
Structured Data ◽  
Research Quality ◽  
Free Text ◽  
Specific Knowledge ◽  
User Input ◽  
The One ◽  
Research Quality Assessment

Abstract:Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicians with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements.

On everyday academic research

2017 ◽  
pp. 98-134 ◽  
Author(s):  
J. Tirole
Keyword(s):  
Common Good ◽  
Academic Research ◽  
Research Quality ◽  
Economic Research ◽  
Relevant Research ◽  
The Common ◽  
Verification Of Models ◽  
Science And Research

In the fourth chapter of the book “The economy of the common good”, the nature of economics as a science and research practices in their theoretical and empirical aspects are discussed. The author considers the processes of modeling, empirical verification of models and evaluation of research quality. In addition, the features of economic cognition and the role of mathematics in economic research are analyzed, including the example of relevant research in game theory and information theory.

LEGAL RESEARCH AT AHMAD IBRAHIM KULLIYYAH OF LAWS, INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA: TRENDS AND POLICIES

2012 ◽  
Vol 18 (1) ◽  
Author(s):  
Hunud Abia Kadouf ◽  
Umar Aimhanosi Oseini ◽  
Ainul Jaria Maidin
Keyword(s):  
Research Output ◽  
Academic Staff ◽  
Research Quality ◽  
Research Progress ◽  
Institutions Of Higher Education ◽  
Legal Research ◽  
The Past ◽  
Research Institution ◽  
Research Activities ◽  
The Status

The primary function of Ahmad Ibrahim Kulliyyah (Faculty) of Laws, at the very beginning of its inception, was that of teaching civil law and Sharî’ah subjects. As it matured, its vision has been varied from teaching to that of research with the aim of attaining the status of a full research institution that provides both quality research and best legal education in the region. Similar to other institutions of higher education in Malaysia, the responsibility of research is a shared function of both graduate students and the academic staff. The research output, on the part of the students is mostly composed of either Master Dissertations or PhD Theses. The academic members of the Faculty, however, are involved either in direct research, individually or jointly, supervision, and publications of their findings. By investigating and analyzing factors influencing research activities at AIKOL in the past twenty years, the researchers will be able to identify the general trends and development of research as it unfolded over years. The researchers hope that the policymakers, at both Faculty and University levels, will use the findings to improve research quality by boldly addressing the problems hampering research progress at AIKOL.

Designing for Dissemination in Chronic Disease Prevention and Management

2017 ◽  
Author(s):  
Neville Owen ◽  
Ana Goode ◽  
Takemi Sugiyama ◽  
Mohammad Javad Koohsari ◽  
Genevieve Healy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Chronic Disease ◽  
Cost Effectiveness ◽  
Health Behavior Change ◽  
The Other ◽  
Research Quality ◽  
Policy Initiatives ◽  
Rigorous Study ◽  
Behavior Change Program

This chapter emphasizes the need for research that is designed and implemented explicitly with dissemination in mind. This is illustrated in relation to environmental and policy initiatives to influence physical activity through active transport, and through the example of initiatives to reduce workplace sitting. The other element of this chapter, the broad-reach intervention-dissemination case study of a health behavior-change program, highlights the need to maintain key elements of research quality in designing for dissemination, to the extent that is practically possible: a rigorous study design; the systematic tracking of implementation and related costs; and, the conduct of dose-response, maintenance and cost-effectiveness analyses. These examples of designing for dissemination illustrate not only the exciting opportunities for real-world dissemination research, but also the resourcefulness and commitment required for success.

scholarly journals Psychiatric disorders in China: strengths and challenges of contemporary research and clinical services

2021 ◽  
pp. 1-14
Author(s):  
Xiao Chang ◽  
Qiyong Gong ◽  
Chunbo Li ◽  
Weihua Yue ◽  
Xin Yu ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Disease Burden ◽  
Large Scale ◽  
Well Being ◽  
Research Quality ◽  
Psychiatric Research ◽  
Clinical Services ◽  
Contributing Factors ◽  
Brain Functions ◽  
Neuroscience Research

Abstract China accounts for 17% of the global disease burden attributable to mental, neurological and substance use disorders. As a country undergoing profound societal change, China faces growing challenges to reduce the disease burden caused by psychiatric disorders. In this review, we aim to present an overview of progress in neuroscience research and clinical services for psychiatric disorders in China during the past three decades, analysing contributing factors and potential challenges to the field development. We first review studies in the epidemiological, genetic and neuroimaging fields as examples to illustrate a growing contribution of studies from China to the neuroscience research. Next, we introduce large-scale, open-access imaging genetic cohorts and recently initiated brain banks in China as platforms to study healthy brain functions and brain disorders. Then, we show progress in clinical services, including an integration of hospital and community-based healthcare systems and early intervention schemes. We finally discuss opportunities and existing challenges: achievements in research and clinical services are indispensable to the growing funding investment and continued engagement in international collaborations. The unique aspect of traditional Chinese medicine may provide insights to develop a novel treatment for psychiatric disorders. Yet obstacles still remain to promote research quality and to provide ubiquitous clinical services to vulnerable populations. Taken together, we expect to see a sustained advancement in psychiatric research and healthcare system in China. These achievements will contribute to the global efforts to realize good physical, mental and social well-being for all individuals.

scholarly journals Are you really using Yarning research? Mapping Social and Family Yarning to strengthen Yarning research quality

2021 ◽  
pp. 117718012110154
Author(s):  
Petah Atkinson ◽  
Marilyn Baird ◽  
Karen Adams
Keyword(s):  
Research Method ◽  
Research Question ◽  
Research Quality ◽  
Aboriginal Community ◽  
Participant Recruitment ◽  
The Social ◽  
Research Findings ◽  
Convenience Sampling ◽  
Missing Feature ◽  
Published Research

Yarning as a research method has its grounding as an Aboriginal culturally specified process. Significant to the Research Yarn is relationality, however; this is a missing feature of published research findings. This article aims to address this. The research question was, what can an analysis of Social and Family Yarning tell us about relationality that underpins a Research Yarn. Participant recruitment occurred using convenience sampling, and data collection involved Yarning method. Five steps of data analysis occurred featuring Collaborative Yarning and Mapping. Commonality existed between researcher and participants through predominantly experiences of being a part of Aboriginal community, via Aboriginal organisations and Country. This suggests shared explicit and tacit knowledge and generation of thick data. Researchers should report on their experience with Yarning, the types of Yarning they are using, and the relationality generated from the Social, Family and Research Yarn.

scholarly journals A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems

JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  
Keyword(s):  
Primary Care ◽  
Proportional Hazards ◽  
Biomarker Discovery ◽  
Data Extraction ◽  
Cox Proportional Hazards ◽  
Research Quality ◽  
Uk Biobank ◽  
Expert Review ◽  
Cox Proportional Hazards Models ◽  
The Uk

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.

Sign in / Sign up

Export Citation Format

Share Document