Evaluating and Improving Annotation Tools for Medical Forms

2017 ◽  
pp. 1-16 ◽  
Author(s):  
Ying-Chi Lin ◽  
Victor Christen ◽  
Anika Groß ◽  
Silvio Domingos Cardoso ◽  
Cédric Pruski ◽  
...  
Keyword(s):  
Medical Forms

Stewart Smiled

PEDIATRICS ◽  
1993 ◽  
Vol 91 (5) ◽  
pp. 1018-1018
Author(s):  
JIM K. BAXTER
Keyword(s):  
Bone Marrow ◽  
Eighteenth Century ◽  
Acute Lymphocytic Leukemia ◽  
Lymphocytic Leukemia ◽  
Medical Forms

To the Editor.— Stewart smiled during the spinal tap that lasted only moments. Kneeling down close, I whispered that I was proud of him, and a great little smile lit the room. It had not been that long since this procedure had my 4-year-old son surrounded by the strong arms of nurses in the great lock and shout down, straight from the eighteenth century. Somewhere in the weeks that followed our diagnosis of acute lymphocytic leukemia, somewhere lost in that downpour of emotions and medical forms, my wife and I agreed to enroll Stewart in a study that would compare two different sedation drugs and their effects during lumbar punctures and bone marrow tests.

scholarly journals Uncovering health literacy: Developing a remotely administered questionnaire for determining health literacy levels in health disparate populations

2014 ◽  
Vol 3 (4) ◽  
pp. 149
Author(s):  
Thomas C. Shaw
Keyword(s):  
Health Literacy ◽  
Basic Research ◽  
Lower Income ◽  
Valid Measure ◽  
Convenience Sample ◽  
Low Health Literacy ◽  
Literacy Methods ◽  
Two Measures ◽  
Medical Forms ◽  
Single Question

Introduction: Low health literacy contributes to health disparities. We sought to develop and evaluate a remotely administered tool to measure health literacy in health disparate populations. The basic research design involved asking the remotely administered questions in conjunction with an existing and valid measure of health literacy, the S-TOFHLA, to a non-representative convenience sample of individuals drawn from lower income communities. The measures of the remotely administered questions were then correlated with the results of the S-TOFHLA to determine if there was a connection between the two measures. We found a statistically significant correlation between a single question in the remotely administered survey and the validated S-TOFHLA measure. This research supports previous work that points to the importance of just a single remotely administered question in terms of correspondence with the S-TOFHLA. Objective: Develop a questionnaire that can be remotely administered to check for Health Literacy. Methods: Correlation analysis is conducted between various questions and S-TOFHLA scores to determine criterion validity. Results: A single question, “How confident are you in filling out medical forms by yourself?” outperforms other measures in correlating with the S-TOFHLA scores. Conclusions: Further assessment of the confidence question both in isolation and in conjunction with other literacy identifiers should be conducted. Also, this question should be tested against other measures of health literacy beyond the S-TOFHLA.

scholarly journals Automated UMLS-Based Comparison of Medical Forms

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e67883 ◽  
Author(s):  
Martin Dugas ◽  
Fleur Fritz ◽  
Rainer Krumm ◽  
Bernhard Breil
Keyword(s):  
Medical Forms

scholarly journals PHARMACOTHERAPY OF PSORIASIS SUPPORT WITH ANTIPHOSPHOLIPID SYNDROME: ABC/VEN ANALYSIS OF ANTI-VIRAL DRUGS

2021 ◽  
Vol 1 (1) ◽  
pp. 1-12
Author(s):  
Ihor Hayduchok
Keyword(s):  
Antiphospholipid Syndrome ◽  
Scientific Literature ◽  
Marketing Research ◽  
Dosage Forms ◽  
Research Topic ◽  
Systemic Autoimmune Diseases ◽  
Immunomodulatory Agents ◽  
Managerial Decisions ◽  
Diagnostic Codes ◽  
Medical Forms

The aim was to research the pharmacotherapy of psoriasis with antiphospholipid syndrome based on ABC/VEN analysis of antiviral drugs. The materials of the study were the clinical and pharmacological groups for pharmacotherapy of psoriasis on the background of antiphospholipid syndrome. Regulatory, documentary, marketing, pharmacoeconomic, ABC/VEN research methods were used. Studied the clinical and pharmacological groups of the most drugs INN for basic pharmacotherapy of psoriasis have diagnostic codes of ATC classification L "Antineoplastic and immunomodulatory agents" and code M "Agents affecting the musculoskeletal system". In the article, the results of share of different medical forms of drugs for pharmacotherapy of psoriasis with antiphospholipid syndrome were shown. Matrix of the consolidated ABC-VEN analysis of drugs for pharmacotherapy of psoriasis with antiphospholipid syndrome was developed during the research. Shown the relevance and necessity of the chosen research topic because of a review of the scientific literature on epidemiology and pharmacotherapy. Marketing research of medicines were determined by assortment, country of origin, dosage forms, and registration certificates. Estimated that in the A/E categories, drugs coincide and are in a niche with an affordable share (17.04%). In terms of priority for pharmacotherapy of psoriasis on the background of antiphospholipid syndrome, a matrix of the combined ABC/VEN analysis was developed. The results of the study provide an opportunity to make administrative and managerial decisions in determining the pharmacotherapy of psoriasis with antiphospholipid syndrome to improve the use pharmaceutical provision for patients with systemic autoimmune diseases.

Graphical Access to Medical Expert Systems: II. Design of an Interface for Physicians

1986 ◽  
Vol 25 (03) ◽  
pp. 143-150 ◽  
Author(s):  
C. D. Lane ◽  
Joan Walton ◽  
E. H. Shortliffe
Keyword(s):  
High Performance ◽  
Data Entry ◽  
Input Device ◽  
Computer Tools ◽  
Experimental Cancer ◽  
Raster Graphics ◽  
Support Tools ◽  
Medical Expert Systems ◽  
Medical Forms ◽  
Advanced Computer

SummaryThe ONCOCIN Interviewer program provides a graphical interface between physicians and an expert system that is designed to assist with therapy selection for patients receiving experimental cancer therapy. A principal goal has been to increase acceptance of advanced computer tools in a clinical setting. The interface has been developed for high-performance Lisp workstations and is tailored to the existing paper forms and practices of the outpatient clinic. To be flexible, the program makes use of a document formatting language to control a raster graphics display of medical forms, traditional paper versions of which have been used to track patient progress. The program utilizes a mouse input device coupled with a software-defined data entry approach that may be customized to the specific environment. The work described suggests ways in which high density graphics interfaces, with pointing devices rather than an emphasis on keyboards, may make decision support tools more useful to physicians and more acceptable to them.

Antiparasitic efficiency of complex application of the original medical forms Ivermek-ON and Ivermek-OR for Dermanyssus gallinae

2016 ◽  
Vol 1 (63) ◽  
pp. 144-150
Author(s):  
Vladimir Orobets ◽  
◽  
Elena Kastarnova ◽  
Sergey Zabashta ◽  
Anna Zabashta ◽  
...  
Keyword(s):  
Dermanyssus Gallinae ◽  
Medical Forms

Patient-reported health literacy and numeracy among new patients seeking consultation at a comprehensive cancer center.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 7038-7038
Author(s):  
Nadine Jackson McCleary ◽  
Jessica Cleveland ◽  
Sunyi Zhang ◽  
Eva M. Lepisto ◽  
Sherry Lee ◽  
...  
Keyword(s):  
Decision Making ◽  
Health Literacy ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Medical Statistics ◽  
Limited Health Literacy ◽  
Patient Reported ◽  
Limited Health ◽  
Medical Forms ◽  
Single Question

7038 Background: Health literacy and numeracy are essential for patients to make informed cancer treatment decisions. Oncologists do not typically evaluate literacy and numeracy and vary in their ability to adapt health discussions to meet patients’ needs. Systematic ascertainment of literacy and numeracy may provide oncologists with useful information to help guide initial oncology consultations. Methods: We deploy an electronic new patient intake questionnaire (NPIQ) that includes health literacy and numeracy, basic demographics and cancer risk screening. Patients are considered to have limited health literacy and/or numeracy if they respond with either “somewhat”, “a little bit” or “not at all” to a single question: “How confident are you filling out medical forms?” or “How confident are you in understanding medical statistics?” respectively. Results: Between January 2018 and August 2019, 8418 (24.6%) of patients presenting for a new patient consultation responded to the NPIQ. Among respondents with non-missing data, limited health literacy was reported by 19.4% respondents with 13.9% reporting “not at all” and 33.1% reporting “not at all” or only “a little bit” of confidence completing medical forms. Limited health numeracy was reported by 33.2% respondents with 9.1% reporting “not at all”. Nearly 20% of respondents reported both limited health literacy and numeracy. Patients reporting lack of confidence completing medical forms or understanding medical statistics were older (20.3%, 30.7% ³ 70 years old), male (20.2%, 30.1%), and non-white (21.3%, 32.1%). Conclusions: A substantial proportion of cancer patients report lack of confidence in their ability to complete medical forms or understand medical statistics, potentially limiting the ability to actively engage in shared decision-making. Prospective identification of these social determinants of health prior to consultations may provide oncologists with information necessary to tailor health discussions and to provide materials that promote understanding and informed decision-making. [Table: see text]

Evaluating Cross-lingual Semantic Annotation for Medical Forms

2020 ◽  
Author(s):  
Ying-Chi Lin ◽  
Victor Christen ◽  
Anika Groß ◽  
Toralf Kirsten ◽  
Silvio Cardoso ◽  
...  
Keyword(s):  
Semantic Annotation ◽  
Cross Lingual ◽  
Medical Forms

Annotating Medical Forms Using UMLS

2015 ◽  
pp. 55-69 ◽  
Author(s):  
Victor Christen ◽  
Anika Groß ◽  
Julian Varghese ◽  
Martin Dugas ◽  
Erhard Rahm
Keyword(s):  
Medical Forms
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