Aligning Reference Terminologies and Knowledge Bases in the Health Care Domain

2005 ◽  
pp. 437-446 ◽  
Author(s):  
M. Taboada ◽  
J. Des ◽  
D. Martínez ◽  
J. Mira
Keyword(s):  
Health Care ◽  
Knowledge Bases

scholarly journals Use of online knowledge base in primary health care and correlation to health care quality: an observational study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Christian Gerdesköld ◽  
Eva Toth-Pal ◽  
Inger Wårdh ◽  
Gunnar H. Nilsson ◽  
Anna Nager
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Knowledge Base ◽  
Health Care Quality ◽  
Knowledge Bases ◽  
Patient Experiences ◽  
Outcome Data ◽  
Care Quality ◽  
Evidence Based ◽  
Primary Health

Abstract Background Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality. Methods The study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic Care Need Index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used. Results Frequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p < 0.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p < 0.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p > 0.05). Adjusting for Care Need Index had almost no effect on the outcomes for the groups. Conclusions Frequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.

scholarly journals Efficient Results in Semantic Interoperability for Health Care

2016 ◽  
Vol 25 (01) ◽  
pp. 184-187
Author(s):  
J. Charlet ◽  
L. F. Soualmia ◽  
Keyword(s):  
Health Care ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Large Scale ◽  
Recommendation System ◽  
Clinical Care ◽  
Knowledge Bases ◽  
Semantic Interoperability ◽  
The Third ◽  
Research Activities

Summary Objectives: To summarize excellent current research in the field of Knowledge Representation and Management (KRM) within the health and medical care domain. Method: We provide a synopsis of the 2016 IMIA selected articles as well as a related synthetic overview of the current and future field activities. A first step of the selection was performed through MEDLINE querying with a list of MeSH descriptors completed by a list of terms adapted to the KRM section. The second step of the selection was completed by the two section editors who separately evaluated the set of 1,432 articles. The third step of the selection consisted of a collective work that merged the evaluation results to retain 15 articles for peer-review. Results: The selection and evaluation process of this Yearbook’s section on Knowledge Representation and Management has yielded four excellent and interesting articles regarding semantic interoperability for health care by gathering heterogeneous sources (knowledge and data) and auditing ontologies. In the first article, the authors present a solution based on standards and Semantic Web technologies to access distributed and heterogeneous datasets in the domain of breast cancer clinical trials. The second article describes a knowledge-based recommendation system that relies on ontologies and Semantic Web rules in the context of chronic diseases dietary. The third article is related to concept-recognition and text-mining to derive common human diseases model and a phenotypic network of common diseases. In the fourth article, the authors highlight the need for auditing the SNOMED CT. They propose to use a crowd-based method for ontology engineering. Conclusions: The current research activities further illustrate the continuous convergence of Knowledge Representation and Medical Informatics, with a focus this year on dedicated tools and methods to advance clinical care by proposing solutions to cope with the problem of semantic interoperability. Indeed, there is a need for powerful tools able to manage and interpret complex, large-scale and distributed datasets and knowledge bases, but also a need for user-friendly tools developed for the clinicians in their daily practice.

scholarly journals Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs

2015 ◽  
Vol 06 (02) ◽  
pp. 334-344 ◽  
Author(s):  
A. Wright ◽  
M. Krousel-Wood ◽  
E. J. Thomas ◽  
J. A. McCoy ◽  
D. F. Sittig ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Knowledge Base ◽  
Health Care System ◽  
Related Problem ◽  
Improve Patient Safety ◽  
Knowledge Bases ◽  
Health Record ◽  
Electronic Health ◽  
Care System

SummaryBackground: Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging.Objective: We sought to validate a previously developed crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large, non-university health care system with a widely used, commercially available electronic health record.Methods: We first retrieved medications and problems entered in the electronic health record by clinicians during routine care during a six month study period. Following the previously published approach, we calculated the link frequency and link ratio for each pair then identified a threshold cutoff for estimated problem-medication pair appropriateness through clinician review; problem-medication pairs meeting the threshold were included in the resulting knowledge base. We selected 50 medications and their gold standard indications to compare the resulting knowledge base to the pilot knowledge base developed previously and determine its recall and precision.Results: The resulting knowledge base contained 26,912 pairs, had a recall of 62.3% and a precision of 87.5%, and outperformed the pilot knowledge base containing 11,167 pairs from the previous study, which had a recall of 46.9% and a precision of 83.3%.Conclusions: We validated the crowdsourcing approach for generating a knowledge base of problem-medication pairs in a large non-university health care system with a widely used, commercially available electronic health record, indicating that the approach may be generalizable across health-care settings and clinical systems. Further research is necessary to better evaluate the knowledge, to compare crowdsourcing with other approaches, and to evaluate if incorporating the knowledge into electronic health records improves patient outcomes.Citation: McCoy AB, Wright A, Krousel-Wood M, Thomas EJ, McCoy JA, Sittig DF. Validation of a crowdsourcing methodology for developing a knowledge base of related problem-medication pairs. Appl Clin Inf 2015; 6: 334–344http://dx.doi.org/10.4338/ACI-2015-01-RA-0010

scholarly journals Comparison of Knowledge Databases to Be Used in Automated Monitoring of Orthopedic Medical Devices

2021 ◽  
Author(s):  
Thibault Dhalluin ◽  
Leslie Grammatico-Guillon ◽  
Philippe Rosset ◽  
Marc Cuggia
Keyword(s):  
Health Care ◽  
Medical Devices ◽  
Health Care Systems ◽  
Knowledge Bases ◽  
Shoulder Prosthesis ◽  
Automated Monitoring ◽  
Care Systems ◽  
Combine Information

Surveillance and traceability of medical devices (MD) is a challenge in health care systems. In the perspective of reusing EHR data to automate the monitoring of medical devices, we carried out a comparison of the main MD knowledge bases (MD-KDB) currently available in France. Four MD-KDBs (ANSM, Gudid, Exhausmed and CIOdm) were compared quantitatively and through an example of a shoulder prosthesis. The number of MDs registered differs from one MD-KDB to another. Domain terminologies used in MD-KDBs differ in terms of granularity and in the ease of querying. Waiting EUDAMED, the European MD-KDB, it seems necessary so far to use and combine information coming from several MD-KDBs to address MD monitoring.

scholarly journals Use of online knowledge base in primary health care and correlation to health care quality: An observational study

2020 ◽  
Author(s):  
Christian Gerdeskold ◽  
Eva Toth-Pal ◽  
Inger Wårdh ◽  
Gunnar H. Nilsson ◽  
Anna Nager
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Knowledge Base ◽  
Health Care Quality ◽  
Knowledge Bases ◽  
Patient Experiences ◽  
Outcome Data ◽  
Care Quality ◽  
Evidence Based ◽  
Primary Health

Abstract BackgroundEvidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.MethodsThe study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic Care Need Index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used.ResultsFrequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>.05). Adjusting for Care Need Index had almost no effect on the outcomes for the groups.ConclusionsFrequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.

scholarly journals Standards for Scalable Clinical Decision Support: Need, Current and Emerging Standards, Gaps, and Proposal for Progress

2010 ◽  
Vol 4 (1) ◽  
pp. 235-244 ◽  
Author(s):  
Kensaku Kawamoto ◽  
Guilherme Del Fiol ◽  
David F. Lobach ◽  
Robert A Jenders
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Ad Hoc ◽  
Cost Effective ◽  
Clinical Decision ◽  
Knowledge Bases ◽  
Knowledge Resources ◽  
Limited Availability ◽  
Information Models

Despite their potential to significantly improve health care, advanced clinical decision support (CDS) capabilities are not widely available in the clinical setting. An important reason for this limited availability of CDS capabilities is the application-specific and institution-specific nature of most current CDS implementations. Thus, a critical need for enabling CDS capabilities on a much larger scale is the development and adoption of standards that enable current and emerging CDS resources to be more effectively leveraged across multiple applications and care settings. Standards required for such effective scaling of CDS include (i) standard terminologies and information models to represent and communicate about health care data; (ii) standard approaches to representing clinical knowledge in both human-readable and machine-executable formats; and (iii) standard approaches for leveraging these knowledge resources to provide CDS capabilities across various applications and care settings. A number of standards do exist or are under development to meet these needs. However, many gaps and challenges remain, including the excessive complexity of many standards; the limited availability of easily accessible knowledge resources implemented using standard approaches; and the lack of tooling and other practical resources to enable the efficient adoption of existing standards. Thus, the future development and widespread adoption of current CDS standards will depend critically on the availability of tooling, knowledge bases, and other resources that make the adoption of CDS standards not only the right approach to take, but the cost-effective path to follow given the alternative of using a traditional, ad hoc approach to implementing CDS.

scholarly journals The exploration of use of an online knowledge base and effect on patient experiences and health care quality: An observational study in primary health care

2020 ◽  
Author(s):  
Christian Gerdeskold ◽  
Eva Toth-Pal ◽  
Inger Wårdh ◽  
Gunnar H. Nilsson ◽  
Anna Nager
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Knowledge Base ◽  
Health Care Quality ◽  
Knowledge Bases ◽  
Patient Experiences ◽  
Outcome Data ◽  
Care Quality ◽  
Evidence Based ◽  
Primary Health

Abstract Background: Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.Methods: The study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic care need index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used.Results: Frequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>.05). Adjusting for care need index had almost no effect on the outcomes for the groups.Conclusions: Frequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.

scholarly journals “At 80 I Know Myself”: Embodied Learning and Older Adults’ Experiences of Polypharmacy and Perceptions of Deprescribing

2019 ◽  
Vol 5 ◽  
pp. 233372141989561
Author(s):  
Alison Ross ◽  
James Gillett
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Health Care Providers ◽  
Lived Experiences ◽  
Knowledge Bases ◽  
The Body ◽  
Care Providers ◽  
Embodied Learning ◽  
Health Care Decisions ◽  
Depth Interviews

In response to the risks of polypharmacy for older adults, there are increasing calls for the development and implementation of deprescribing programs. This article examines the forms of expertise that inform older adults’ decisions about how to use medications given concerns over polypharmacy and a clinical focus on deprescribing. In-depth interviews with older adults found that diverse knowledge sources underpin decisions regarding polypharmacy and deprescribing. Findings indicate that this knowledge is formed through a lifetime of embodied learning—the production of relevant knowledge through lived experiences of the body. By way of this embodied learning, older adults possess individualized knowledge bases that inform health and health care decisions, especially regarding the use of medications. If deprescribing programs are to be embedded into standard preventive medical care of older adults, then it is valuable for health care providers to be aware of and take seriously the contribution of embodied knowledge.

scholarly journals Use of online knowledge base in primary health care and correlation to health care quality: An observational study

2020 ◽  
Author(s):  
Christian Gerdeskold ◽  
Eva Toth-Pal ◽  
Inger Wårdh ◽  
Gunnar H. Nilsson ◽  
Anna Nager
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Knowledge Base ◽  
Health Care Quality ◽  
Knowledge Bases ◽  
Patient Experiences ◽  
Outcome Data ◽  
Care Quality ◽  
Evidence Based ◽  
Primary Health

Abstract BackgroundEvidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.MethodsThe study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic Care Need Index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used.ResultsFrequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>.05). Adjusting for Care Need Index had almost no effect on the outcomes for the groups.ConclusionsFrequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.

Health Care in the Information Society: What Should Be the Role of Medical Informatics?1

2002 ◽  
Vol 41 (01) ◽  
pp. 31-35 ◽  
Author(s):  
R. Haux
Keyword(s):  
Health Care ◽  
Medical Informatics ◽  
Health Care Professionals ◽  
Health Informatics ◽  
Information Society ◽  
Medical Knowledge ◽  
Knowledge Bases ◽  
Patient Centered ◽  
High Quality ◽  
Information And Communication

Summary Objective: To discuss the consequences for medical informatics in encouraging and advancing the development of information processing methodology (IPM) and information and communication technology (ICT) to contribute to high-quality and efficient health care. Methods: Characterization of the current state of ICT, commenting on literature. Results and conclusions: Medical informatics is the discipline, concerned with the systematic processing of data, information, and knowledge in medicine and health care. Our societies are continuously being influenced by modern IPM and ICT. It can be expected that these developments, leading us into an “information society”, will continue. Three factors may significantly influence health care in the near future: the development of the population towards an aging society, progress in medicine, and progress in informatics. The major aims that will have to be achieved are the (1) patient-centered use of medical data, (2) process-integrated decision support, using high-quality medical knowledge, and (3) comprehensive use of patient data for clinical research and health reporting. Medical informatics research is needed on the electronic patient record, modern architectures for health information systems, and medical knowledge bases. In order to adequately pursue the goal of “transforming health care through innovative use of ICT for the 21st century”, health care professionals are needed, who are well-trained in medical informatics, respectively health informatics. Medical informatics must offer such educational programs and assure a sufficiently high quality of education.

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