Evaluation of a Tool to Enhance Searching for Useful Medical Information on the Internet

2011 ◽  
pp. 330-343
Author(s):  
David Parry
Keyword(s):  
Medical Information ◽  
Point Of Care ◽  
Health Sector ◽  
Sources Of Information ◽  
Unified Medical Language System ◽  
Professional Groups ◽  
Medical Language ◽  
High Quality Information ◽  
High Level ◽  
Based Medicine

Evidence-based medicine (EBM) requires appropriate information to be available to clinicians at the point of care. Electronic sources of information may fulfill this need but require a high level of skill to use successfully. This chapter describes the rationale and initial testing of a system to allow collaborative searching and ontology construction for professional groups in the health sector. The approach is based around the use of a browser using a fuzzy ontology based on the National library of medicine (NLM) unified medical language system (UMLS). The results suggest that a tool that can assist users in finding information by recording their preferences and preferred meaning of text words can be usable by healthcare professionals. This approach may provide high-quality information for professionals in the future.

scholarly journals Evaluation of a Fuzzy Ontology-Based Medical Information System

2011 ◽  
pp. 1494-1505
Author(s):  
David Parry
Keyword(s):  
Medical Information ◽  
Point Of Care ◽  
Health Sector ◽  
Medical Information System ◽  
Sources Of Information ◽  
Unified Medical Language System ◽  
Fuzzy Ontology ◽  
High Quality Information ◽  
High Level ◽  
Based Medicine

Evidence-based medicine (EBM) requires appropriate information to be available to clinicians at the point of care. Electronic sources of information may fulfill this need but require a high level of skill to use successfully. This paper describes the rationale and initial testing of a system to allow collaborative search and ontology construction for professional groups in the health sector. The approach is based around the use of a browser using a fuzzy ontology based on the National Library of Medicine (NLM) Unified Medical Language System (UMLS). This approach may provide high quality information for professionals in the future.

scholarly journals Evaluation of a Fuzzy Ontology-Based Medical Information System

2011 ◽  
pp. 1049-1059
Author(s):  
David Parry
Keyword(s):  
Medical Information ◽  
Point Of Care ◽  
Health Sector ◽  
Medical Information System ◽  
Sources Of Information ◽  
Unified Medical Language System ◽  
Fuzzy Ontology ◽  
High Quality Information ◽  
High Level ◽  
Based Medicine

Evidence-based medicine (EBM) requires appropriate information to be available to clinicians at the point of care. Electronic sources of information may fulfill this need but require a high level of skill to use successfully. This paper describes the rationale and initial testing of a system to allow collaborative search and ontology construction for professional groups in the health sector. The approach is based around the use of a browser using a fuzzy ontology based on the National Library of Medicine (NLM) Unified Medical Language System (UMLS). This approach may provide high quality information for professionals in the future.

Leveraging the UMLS As a Data Standard for Rare Disease Data Normalization and Harmonization

2020 ◽  
Author(s):  
Qian Zhu ◽  
Dac-Trung Nguyen ◽  
Eric Sid ◽  
Anne Pariser
Keyword(s):  
Rare Disease ◽  
Rare Diseases ◽  
Mendelian Inheritance ◽  
Data Normalization ◽  
Community Settings ◽  
Unified Medical Language System ◽  
Data Standard ◽  
Medical Language ◽  
Disease Concepts ◽  
High Level

Abstract Objective In this study, we aimed to evaluate the capability of the Unified Medical Language System (UMLS) as one data standard to support data normalization and harmonization of datasets that have been developed for rare diseases. Through analysis of data mappings between multiple rare disease resources and the UMLS, we propose suggested extensions of the UMLS that will enable its adoption as a global standard in rare disease. Methods We analyzed data mappings between the UMLS and existing datasets on over 7,000 rare diseases that were retrieved from four publicly accessible resources: Genetic And Rare Diseases Information Center (GARD), Orphanet, Online Mendelian Inheritance in Men (OMIM), and the Monarch Disease Ontology (MONDO). Two types of disease mappings were assessed, (1) curated mappings extracted from those four resources; and (2) established mappings generated by querying the rare disease-based integrative knowledge graph developed in the previous study. Results We found that 100% of OMIM concepts, and over 50% of concepts from GARD, MONDO, and Orphanet were normalized by the UMLS and accurately categorized into the appropriate UMLS semantic groups. We analyzed 58,636 UMLS mappings, which resulted in 3,876 UMLS concepts across these resources. Manual evaluation of a random set of 500 UMLS mappings demonstrated a high level of accuracy (99%) of developing those mappings, which consisted of 414 mappings of synonyms (82.8%), 76 are subtypes (15.2%), and five are siblings (1%). Conclusion The mapping results illustrated in this study that the UMLS was able to accurately represent rare disease concepts, and their associated information, such as genes and phenotypes, and can effectively be used to support data harmonization across existing resources developed on collecting rare disease data. We recommend the adoption of the UMLS as a data standard for rare disease to enable the existing rare disease datasets to support future applications in a clinical and community settings.

Clinical Evidence at the Point of Care in Acute Medicine: A Handheld Usability Case Study

2002 ◽  
Vol 46 (16) ◽  
pp. 1409-1413 ◽  
Author(s):  
Harumi Takeshita ◽  
Dianne Davis ◽  
Sharon E. Straus
Keyword(s):  
Medical Information ◽  
Point Of Care ◽  
Daily Practice ◽  
Clinical Decision ◽  
Evidence Based ◽  
User Requirement ◽  
Medical Information Retrieval ◽  
Wireless Environment ◽  
Based Medicine

The need to design medical information device interfaces for clinical use has been well documented in medical journals. In this study we apply well known usability techniques such as user requirement elicitation and prototype design and evaluation to design an evidence-based medical information retrieval system intended for a wireless environment. Our immediate goal is to make the daily practice of evidence-based medicine (EBM) for frontline clinicians easier by providing relevant, timely information at the point of care (using a wireless PDA device), delivered in a format that is usable and liked by the target group. Our objective is to use this evidence-based information delivery tool as an educational device and to encourage clinicians to consult, as appropriate, the latest best evidence available to support their clinical decision in hopes of improving clinical outcomes. The development of a handheld user interface for clinicians is described, along with results obtained from usability testing with a sample set of scenarios.

Navigating to Knowledge

1995 ◽  
Vol 34 (01/02) ◽  
pp. 214-231 ◽  
Author(s):  
M. S. Tuttle ◽  
W. G. Cole ◽  
D. D. Sherertz ◽  
S. J. Nelson
Keyword(s):  
National Cancer Institute ◽  
Point Of Care ◽  
Visual Representation ◽  
Medical Knowledge ◽  
National Library ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Computer Based ◽  
The U.S

Abstract:One way to fulfill point-of-care knowledge needs is to present caregivers with a visual representation of the available “answers”. Using such a representation, caregivers can recognize what they want, rather than have to recall what they need, and then navigate to an appropriate answer. Given selected pieces of information from a computer-based patient record, an interface can anticipate certain knowledge needs by initializing caregiver navigation in a semantic neighborhood of answers likely to be relevant to the patient at hand. These notions draw heavily on two collaborative projects – the U.S. National Library of Medicine Unified Medical Language System® and the U.S. National Cancer Institute Knowledge Server. Both of these projects support navigation because they make the structure of medical knowledge explicit in a way that can be exploited by human interfaces.

Representation of Practice Guidelines with XML – Modeling with XML Schema

2002 ◽  
Vol 41 (04) ◽  
pp. 305-312 ◽  
Author(s):  
R. Schweiger ◽  
J. Dudeck ◽  
S. Hoelzer
Keyword(s):  
Practice Guidelines ◽  
Medical Information ◽  
Point Of Care ◽  
Information Access ◽  
Xml Schema ◽  
Specific Information ◽  
Text Documents ◽  
Extensible Markup ◽  
Data Elements ◽  
Based Medicine

Summary Objectives: Data and information in medicine are mainly represented in slightly structured or even unstructured, narrative text documents. It is nearly impossible to detect and handle relationships between data elements within narrative documents or to retrieve parts of documents that contain specific information. But information access and retrieval are essential to serve the delivery and application of evidence-based medicine. Methods: The eXtensible Markup Language (XML) provides a standard means to explicitly describe a document‘s structure and to identify meaningful elements inside textual narrations. Information about the state-of-the-art medical care can be delivered to the physician by different means and media. Clinical practice guidelines are thought to be one possible solution to summarize and present current medical evidence. Results: The structuring of resources containing medical information with XML can facilitate the provision of problem-specific medical information at the point of care by improving content retrieval and presentation. In our project, the XML Schema is used for the electronic representation in order to structure guidelines (and other text-based resources) in a standardized way. Conclusion: The transition from unstructured textual data towards structured and coded data will be a migration process. One of the premises of our approach is that the structure that is defined by the information model doesn‘t restrict the content of the documents. This approach may fill the gap between computerized, algorithmic guideline recommendations and text-based guideline distributions.

scholarly journals Peculiarities of forming human resources in the healthcare system of the Republic of Tajikistan during the period of reforms

2021 ◽  
pp. 40-48
Author(s):  
N. T. Mirzoali
Keyword(s):  
Healthcare System ◽  
Social Protection ◽  
Medical Information ◽  
Health Workers ◽  
Health Sector ◽  
Sources Of Information ◽  
Legal Documents ◽  
The Republic ◽  
Pharmaceutical Education ◽  
Republican Center

Aim. To analyze trends in the number and structure of physicians in the healthcare system of the Republic of Tajikistan during the period of healthcare reform.Materials and methods. The sources of information were the official data of the Republican Center for Statistics and Medical Information, the Ministry of Health and Social Protection of the Population of the Republic of Tajikistan (MoHSP), departments of science, medical and pharmaceutical education, and the personnel department of the MoHSP, and other regulatory legal documents.Results and discussion. In 2019 there were 19,268 doctors active in the health sector, which is 20.7 doctors per 10,000 population. In 2019, there were only 76 private health facilities (WHO, 2020).Conclusions. The even geographic distribution of health workers appears to be one of the challenges in improving access to healthcare in Tajikistan.

scholarly journals The Problems and Needs of Patients Diagnosed with Cancer and Their Caregivers

2020 ◽  
Vol 18 (1) ◽  
pp. 87
Author(s):  
Anna Lewandowska ◽  
Grzegorz Rudzki ◽  
Tomasz Lewandowski ◽  
Sławomir Rudzki
Keyword(s):  
Cancer Patients ◽  
Medical Information ◽  
Unmet Needs ◽  
Public Healthcare ◽  
Literature Analysis ◽  
The Public ◽  
The Mean ◽  
High Level ◽  
Patients Experience

(1) Background: As the literature analysis shows, cancer patients experience a variety of different needs. Each patient reacts differently to the hardships of the illness. Assessment of needs allows providing more effective support, relevant to every person’s individual experience, and is necessary for setting priorities for resource allocation, for planning and conducting holistic care, i.e., care designed to improve a patient’s quality of life in a significant way. (2) Patients and Methods: A population survey was conducted between 2018 and 2020. Cancer patients, as well as their caregivers, received an invitation to take part in the research, so their problems and needs could be assessed. (3) Results: The study involved 800 patients, 78% women and 22% men. 66% of the subjects were village residents, while 34%—city residents. The mean age of patients was 62 years, SD = 11.8. The patients received proper treatment within the public healthcare. The surveyed group of caregivers was 88% women and 12% men, 36% village residents and 64% city residents. Subjects were averagely 57 years old, SD 7.8. At the time of diagnosis, the subjects most often felt anxiety, despair, depression, feelings of helplessness (46%, 95% CI: 40–48). During illness and treatment, the subjects most often felt fatigued (79%, 95% CI: 70–80). Analysis of needs showed that 93% (95% CI: 89–97) of patients experienced a certain level of need for help in one or more aspects. (4) Conclusions: Patients diagnosed with cancer have a high level of unmet needs, especially in terms of psychological support and medical information. Their caregivers also experience needs and concerns regarding the disease. Caregivers should be made aware of the health consequences of cancer and consider appropriate supportive care for their loved ones.

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