Concept Graphs: A Novel Approach for Textual Analysis of Medical Documents.

The task of automatically analyzing the textual content of documents faces a number of challenges in general but even more so when dealing with the medical domain. Here, we can't normally rely on specifically pre-trained NLP models or even, due to data privacy reasons, (massive) amounts of training material to generate said models. We, therefore, propose a method that utilizes general-purpose basic text analysis components and state-of-the-art transformer models to represent a corpus of documents as multiple graphs, wherein important conceptually related phrases from documents constitute the nodes and their semantic relation form the edges. This method could serve as a basis for several explorative procedures and is able to draw on a plethora of publicly available resources. We test it by comparing the effectiveness of these so-called Concept Graphs with another recently suggested approach for a common use case in information retrieval, document clustering.

Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations.

BACKGROUND: Patient education materials (PEMs) can be vital sources of information for the general population. However, despite American Medical Association (AMA) and National Institutes of Health (NIH) recommendations to make PEMs easier to read for patients with low health literacy, they often do not adhere to these recommendations. The readability of online PEMs in the obstetrics and gynecology (OB/GYN) field, in particular, has not been thoroughly investigated. OBJECTIVE: The study sampled online OB/GYN PEMs and aimed to examine (1) agreeability across traditional readability measures (TRMs), (2) adherence of online PEMs to AMA and NIH recommendations, and (3) whether the readability level of online PEMs varied by web-based source and medical topic. This study is not a scoping review, rather, it focused on scoring the readability of OB/GYN PEMs using the traditional measures to add empirical evidence to the literature. METHODS: A total of 1576 online OB/GYN PEMs were collected via 3 major search engines. In total 93 were excluded due to shorter content (less than 100 words), yielding 1483 PEMs for analysis. Each PEM was scored by 4 TRMs, including Flesch-Kincaid grade level, Gunning fog index, Simple Measure of Gobbledygook, and the Dale-Chall. The PEMs were categorized based on publication source and medical topic by 2 research team members. The readability scores of the categories were compared statistically. RESULTS: Results indicated that the 4 TRMs did not agree with each other, leading to the use of an averaged readability (composite) score for comparison. The composite scores across all online PEMs were not normally distributed and had a median at the 11th grade. Governmental PEMs were the easiest to read amongst source categorizations and PEMs about menstruation were the most difficult to read. However, the differences in the readability scores among the sources and the topics were small. CONCLUSIONS: This study found that online OB/GYN PEMs did not meet the AMA and NIH readability recommendations and would be difficult to read and comprehend for patients with low health literacy. Both findings connected well to the literature. This study highlights the need to improve the readability of OB/GYN PEMs to help patients make informed decisions. Research has been done to create more sophisticated readability measures for medical and health documents. Once validated, these tools need to be used by web-based content creators of health education materials.

Comparative study of imaging staging and postoperative pathological staging of esophageal cancer based on smart medical big data.

Esophageal cancer has become a malignant tumor disease with high mortality worldwide. Many cases of esophageal cancer are not very serious in the beginning but become severe in the late stage, so the best treatment time is missed. Less than 20% of patients with esophageal cancer are in the late stage of the disease for 5 years. The main treatment method is surgery, which is assisted by radiotherapy and chemotherapy. Radical resection is the most effective treatment method, but a method for imaging examination of esophageal cancer with good clinical effect has yet to be developed. This study compared imaging staging of esophageal cancer with pathological staging after operation based on the big data of intelligent medical treatment. MRI can be used to evaluate the depth of esophageal cancer invasion and replace CT and EUS for accurate diagnosis of esophageal cancer. Intelligent medical big data, medical document preprocessing, MRI imaging principal component analysis and comparison and esophageal cancer pathological staging experiments were used. Kappa consistency tests were conducted to compare the consistency between MRI staging and pathological staging and between two observers. Sensitivity, specificity and accuracy were determined to evaluate the diagnostic effectiveness of 3.0T MRI accurate staging. Results showed that 3.0T MR high-resolution imaging could show the histological stratification of the normal esophageal wall. The sensitivity, specificity and accuracy of high-resolution imaging in staging and diagnosis of isolated esophageal cancer specimens reached 80%. At present, preoperative imaging methods for esophageal cancer have obvious limitations, while CT and EUS have certain limitations. Therefore, non-invasive preoperative imaging examination of esophageal cancer should be further explored.Esophageal cancer has become a malignant tumor disease with high mortality worldwide. Many cases of esophageal cancer are not very serious in the beginning but become severe in the late stage, so the best treatment time is missed. Less than 20% of patients with esophageal cancer are in the late stage of the disease for 5 years. The main treatment method is surgery, which is assisted by radiotherapy and chemotherapy. Radical resection is the most effective treatment method, but a method for imaging examination of esophageal cancer with good clinical effect has yet to be developed. This study compared imaging staging of esophageal cancer with pathological staging after operation based on the big data of intelligent medical treatment. MRI can be used to evaluate the depth of esophageal cancer invasion and replace CT and EUS for accurate diagnosis of esophageal cancer. Intelligent medical big data, medical document preprocessing, MRI imaging principal component analysis and comparison and esophageal cancer pathological staging experiments were used. Kappa consistency tests were conducted to compare the consistency between MRI staging and pathological staging and between two observers. Sensitivity, specificity and accuracy were determined to evaluate the diagnostic effectiveness of 3.0T MRI accurate staging. Results showed that 3.0T MR high-resolution imaging could show the histological stratification of the normal esophageal wall. The sensitivity, specificity and accuracy of high-resolution imaging in staging and diagnosis of isolated esophageal cancer specimens reached 80%. At present, preoperative imaging methods for esophageal cancer have obvious limitations, while CT and EUS have certain limitations. Therefore, non-invasive preoperative imaging examination of esophageal cancer should be further explored.

TextNetTopics: Text Classification Based Word Grouping as Topics and Topics' Scoring.

Medical document classification is one of the active research problems and the most challenging within the text classification domain. Medical datasets often contain massive feature sets where many features are considered irrelevant, redundant, and add noise, thus, reducing the classification performance. Therefore, to obtain a better accuracy of a classification model, it is crucial to choose a set of features (terms) that best discriminate between the classes of medical documents. This study proposes TextNetTopics, a novel approach that applies feature selection by considering Bag-of-topics (BOT) rather than the traditional approach, Bag-of-words (BOW). Thus our approach performs topic selections rather than words selection. TextNetTopics is based on the generic approach entitled G-S-M (Grouping, Scoring, and Modeling), developed by Yousef and his colleagues and used mainly in biological data. The proposed approach suggests scoring topics to select the top topics for training the classifier. This study applied TextNetTopics to textual data to respond to the CAMDA challenge. TextNetTopics outperforms various feature selection approaches while highly performing when applying the model to the validation data provided by the CAMDA. Additionally, we have applied our algorithm to different textual datasets.

Blood transfusion quality supervision in a district of Shanghai / 中国输血杂志

【Objective】 To supervise the clinical blood use of 19 hospitals, covering a district of Shanghai, during two years, and discover the problems in the process of blood transfusion, so as to put forward suggestions for corrective methods in grades and promote continuous improvement of clinical transfusion management. 【Methods】 A total of 19 hospitals were supervised in terms of hardware facilities, management level, professional and technical level, and blood typing test on the site, according to the Administrative Blood Management Measures for Medical Institutions, Technical Specification for Clinical Transfusion and Shanghai Medical Quality Supervision Score Statistical Table.All data were analyzed. 【Results】 These hospitals can properly perform clinical blood transfusion, but there were obvious differences.Tertiary hospitals were relatively better, yet need to strengthen the management of medical documents.Secondary hospitals remained to be improved, mainly in insufficient construction of Blood Transfusion Department (blood bank), the lack of management and maintenance of key equipment and the lack of standardization in medical documents writing.However, flaws in the supervision were general in private hospitals (most of which were affiliated hospitals), so the management of clinical blood use should be further strengthened. 【Conclusion】 For secondary hospitals or above, routinized writing of medical documents and promoted construction of Blood Transfusion Department (blood bank) should be strengthened.For private hospitals, especially affiliated hospitals, the management of clinical blood use should be further improved, including the examination rules corresponding to the blood use process and strict access and exit mechanism, so as to improve the overall management level of clinical blood use and ensure the safety of clinical blood use.

Problems in digitalization of ancient medical documents and measures for their solution / 中华医学图书情报杂志

The problems in digitalization of ancient medical documents were described according to its status quo analysis, with certain measures for their solution proposed in order tospeed up the digitalization of ancient medical documents, improve the use of ancient medical documents, and promote the rapid development of medical and health cause.

Construction of standard system for digitalization of ancient medical documents / 中华医学图书情报杂志

After the connotation of the standard system for digitalization of ancient medical documents was analyzed, its construction principles were elaborated with measures proposed for how to construct it.

Compilation of union catalog of minority nationality medical documents in Yunnan Province / 中华医学图书情报杂志

After the necessity to compile n the union catalog of minority nationality medical documents in Yunnan Province was analyzed according to the scattered collection of minority nationality medical information resources and no available standard minority nationality medical documents catalog, how to compile it was discussed from the aspects of the collection and catalog organization of literature information resources, and quality control of bibliographic data, in order to construct the support system for minority nationality medical information resources.

Writing style of young physicians in the computer and internet era.

OBJECTIVE: The objective of the current study was to analyze written language of native Hebrew-speaking medical residents, as reflected in admission notes and discharge letters for patients admitted to medical wards in a 700-bed university hospital. METHODS: Twenty admission notes and 20 discharge letters written by 40 native Hebrew- speaking residents with at least one year experience were analyzed. The residents worked in the Internal medicine departments of a 700-bed university hospital. Admission notes and discharge letters were randomly chosen for the analysis which was carried out using predefined linguistic criteria and the extent to which English or Latin terms were incorporated into Hebrew medical language such as the structure of sentences and paragraphs. (Complete list of the linguistic criteria can be found in the methods and results sections). RESULTS: The most important findings were that the level of language was unexpectedly low. Many English or Latin medical terms were written using Hebrew letters. The creation of 'new' abbreviations was common. Sentences were telegraphic and lacked coherence, for example there were sentences written in internet language and short message service (SMS) messages. Texts were not organized and sometimes important details were missing. CONCLUSIONS: The writing style of medical residents should be improved substantially in order for them to be able to write coherently. One possible solution is to incorporate a course in writing into the medical school curriculum.

Significance and methods of compiling Synopsis for the general list of medical documents in minority nationalities / 中华医学图书情报杂志

Proposed in this paper is to compile The synopsis for the general list of medical documents in minority nationalitiesand to make the scientific classification and systematic organization of medical documents in minority nationalities, thus breaking their time and space limitation and laying the foundation for the establishment of medi-cal literature resources support system, according to their scattered collection, severe damage, abstruse written lan-guages, and the fact that most of them are unorganized or catalogued, which significantly hinder their development and utilization.

Classes for Chinese minority medical documents offered in Chinese Library Book Classification,5th edition / 中华医学图书情报杂志

After a description of the development in Chinese minority medicine and medical documents, the class (R29) for Chinese minority medical documents offered in Chinese Library Book Classification,5th edition was analyzed. The limitations for the classification of Chinese minority medical documents offered in Chinese Library Book Classifi-cation,5th editionwere pointed out, including no classes for the modern researches and subjects in Chinese minority medical documents , with strategies put forward for adding classes in R29 for Chinese minority medical documents in Chinese Library Book Classification,5th edition.

Documentos médicos / Medical documents

O artigo ressalta os aspectos jurídicos dos documentos médicos, privilegiando a sua vocação como meios de prova em processos judiciais. Procurase trazer uma abordagem prática da questão dos documentos médicos, com vistas ao exercício profissional cotidiano e sem que se pretenda minimizar a importância da investigação aprofundada da matéria, e muito menos desvalorizar a finalidade principal desses documentos que decorre da sua natureza médica. Os principais instrumentos que retratam os cuidados prestados ao paciente, quais sejam Prontuário Médico, Termo de Consentimento Informado, Atestados e Receituário, são comentados sob o enfoque legal, buscando-se apontar quais características lhe conferem legitimidade jurídica

This article emphasizes the legal aspects of medical documents, giving priority to their potential use as evidence in legal proceedings. It seeks to provide a practical approach to the issue of medical documents, which is addressed to everyday professional practice but has no intention of minimizing the importance of a thorough investigation of the matter, and much less underestimating the main purpose of these documents arising from its medical nature. The main instruments that reflect the care delivered to the patient, namely, Medical Chart, Informed Consent Form, Certificates and Prescriptions, are discussed under the legal point of view, aiming to point out which features grant them legal legitimacy

The researohes on practice of setting up ‘the medical documents writing' course for clinical medicine / 中华医学教育探索杂志

The article introduced the importance of learning the medical documents writing for the clinical medical students and the fundamental condition of setting up medical document writing,including the course setup,course target,course content,teaching method,teaching materials,curriculum implementation,assessment methods and so on. And through the questionnaire survey,the comparison of the internship students'writing quality before and after the course setup,and the statistics analysis,the article also suggested that it was necessary and feasible to establish the curriculum of medical documents writing in clinical specialty.

DEVELOPING AN OPERATIONAL DECISION RULE FOR IDENTIFYING THE FATAL CASE DOCUMENTS AT RISK OF BEING RETURNED THROUGH MATHEMATICAL MODELLING.

Incomplete or inaccurately filled fatal case documents are often returned to the hospital by higher headquarters, causing delay in the completion of procedural formalities. A mathematical model was developed to identify those fatal case documents which are at an increased risk of being returned so that the corrective action may be taken a priori. The data was subjected to a multiple logistic regression analysis. Diagnostic test characteristics were worked out and a Receiver Operating Curve analysis was done to find out optimum operating points on the slope, and the following mathematical rule was developed: 7.06=1 (if age > 50 years) - 4.5 (if age <= 12 years) + 9.88 (if serving person) + 2.75 (if ex-serviceman) + 4.5 (if dependent son or daughter) + 6.38 (if time lag > 10 days). This rule carries a sensitivity of 53 per cent and specificity of 75 per cent.