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Although the drug is finished, identifiable, there is no universally accepted standard for naming them. The objective of this work is to evaluate qualitatively the HeTOP drug terminology server by two categories of students (a) pharmacy students and (b) a control group.
A formal evaluation was built to measure the perception of users about the HeTOP drug server, using the three mains questions about "teaching interest", "skill interest" (or competence) and "ergonomics".
The three pharmacy student subgroups gave the best and the worst score to the same categories.
All three criteria are rated above 6.5 out of 10. find more The HeTOP drug terminology server is freely available to "non drug" specialists (URL www.hetop.eu/hetop/drugs/).
All three criteria are rated above 6.5 out of 10. The HeTOP drug terminology server is freely available to "non drug" specialists (URL www.hetop.eu/hetop/drugs/).A Systems Medicine Approach to Stratification of Cancer Recurrence (SMART-CARE) establishes mass spectrometry-based systems medicine technologies and data analysis pipelines employing expertise of the multiple partners from Heidelberg biomedical campus. We have established a central linked data repository that links clinical, mass spectrometry, and data analysis teams to enable a full cycle of data management. Other questions of setting up the data analysis environment for the multi-partner clinical research project are addressed in this work, too.There is little research on the relationship between digital health technology use and health services, self-efficacy, health status, and health information seeking behavior among older family caregivers. We conducted a secondary analysis of the US Health Information National Data and found that older family caregivers with a regular healthcare provider are more likely to use digital health technology, which increases their confidence in obtaining health information (β=0.075, z=2.015, p less then 0.044).Health information systems face the challenge of collecting data on patients' gender identity. The absence of this information may lead the patients to situations of vulnerability and discrimination. The objective of this study is to describe the process of designing and developing an Electronic Health Record according to the Argentine Gender Identity Law. This health record allows clinics to record legal names and surnames, other social names, gender identity, sex at birth, and legal sex.Updating electronic health record systems to meet new clinic needs and government regulations presents an ongoing challenge for health care organizations. To redesign an existing system for two HIV clinics in Argentina, we employed a three-phase approach of exploration, participatory design, and prototyping. The process and resulting architecture of the HIV-centered "RedClin" electronic health record may inform electronic health records at other clinics in Latin America and worldwide.The current drug allergy documentation module in the electronic health record of our institution is in a free-text format. Two versions of a structured and coded drug allergy documentation module were developed. Twenty-five physicians tested the three interfaces via 3x5 test scenarios. The usability was measured for each interface with a system usability scale questionnaire. Both new versions scored significantly better than the current free-text version. User feedback will be used to further optimize the new module.This study aimed to analyze the measurement of information quality in the Information System of the Brazilian Hospital in terms of data completeness and consistency. The quality of information is a fundamental factor in evaluating the performance of information systems. Its use is a reasonable condition in the management of the health service and attention to the care of patients. The research had a retrospective, descriptive character exploratory with quantitative analysis of the data. The study had some limitations, we observed incomplete information regarding some studied variables; this is because the primary source of information in the cancer registry is the patient's medical record. Therefore, the patient's medical records are relevant and should contain the entire health history, from birth to death. In addition, they support research, the management of health services.We have developed data quality tool in R language. Our application name is Package-Data-Quality-Assessment (PackDQA)". It developed following five points Quality dimension approaches identification, design of quality measures, global coefficient design, development of the quality model, test and deployment model. This model test performed on health data in Burkina Faso show 97.69% observations is quality. The current version does not include qualitative data. We will have to improve theme to use all types of data.We collected the COVID-19 vaccine online resources and captured the timestamps of their updates. We computed an average lifetime of 68 days for update and derived the speed of their freshness depreciation. The preliminary results have demonstrated the feasibility to incorporate freshness measures into network anaysis to identify both the importance and freshness of online resources.A generic approach for assessment and continuous monitoring of data quality in ODM-based research data has been developed. The focus is on the two data quality indicators completeness and syntactic correctness. The main idea is to enable the generation of a data quality report without additional programming effort.With the need to quickly advance knowledge dissemination in rapid-paced fields, and more recently in response to the urgency of the COVID-19 pandemic, prepublishing has been brought to the forefront. SPI-Hub™, a publicly available journal selection decision support tool, is being strategically enhanced to address prospective authors' critical needs in navigating and selecting the most appropriate preprint or traditional publication venue.In the present poster we will explain how the development of an interoperable AI-powered application for Circulating Tumor Cells (CTCs) counting is addressed. We will explain the selection of the most appropriate information for early detection of distant metastasis, local recurrence and the data structure definition to be compliant with international standards and ontologies.This study investigated the usability of a mobile phone-based system, "eSkinHealth", for healthcare providers in Côte d'Ivoire. The eSkinHealth can be used both online and offline to address the poor Internet connectivity of these rural settings. Data recorded in the mobile application were synchronized with an online database, and specialists in Abidjan, Côte d'Ivoire and in Japan advised local healthcare providers on difficult cases. In this pilot study, 21 healthcare providers used the eSkinHealth and completed questionnaires assessing the usability. The average score of a system usability scale for eSkinHealth was 84.2 (SD 11.7), which can be interpreted as excellent. The average registration for patient information (e.g., name, sex, age, area of residence) was 8.6 (SD 15.5). Further studies with more targeted areas and participants are needed to evaluate the usability of eSkinHealth in rural Côte d'Ivoire.The aim of this pilot study was to identify social determinants of health (SDH) that affect disparities in cancer survival. A limited dataset was generated by querying electronic medical records (EHR) from an academic medical center in New York City between January 2003 and November 2020. Socio-demographic characteristics that affected survival in 22,096 cancer patients were analyzed using descriptive statistics and logistic regression analyses. Two subsets of adult patients were identified patients who were deceased less than 1 year after diagnosis and patients who survived over 5 years after diagnosis. Percentage of individuals with short survival in Blacks and Whites was respectively 41.4% and 22.2% for lung cancer, 9.8% and 7.1% for colorectal cancer, 2.9% and 0.7% for breast cancer, 6.8% and 4.0% for multiple myeloma, and 1.4% and 0.8% for prostate cancer. Logistic regression identified SDH factors increasing likelihood of shorter survival that included older age, and being male, Black or Hispanic. We concluded that further analysis of a broader spectrum of SDH factors is warranted.The pervasiveness of health information in social media has led to a modern misinformation crisis, also known as a misinfodemic. Misinfodemics have upended public health activities as clearly evident during the COVID-19 pandemic. The objective of this study is to characterize social media content and information sources using theory-driven health behavior and psychology constructs to better understand the motifs of misinformation and their role in the dissemination of health (mis)information in Twitter posts. We analyzed 1,400 randomly selected tweets related to COVID-19 to ascertain four important variables, what is the tweet about (content), how is it structured (linguistic features), who is tweeting (source), and what is the reach of the tweet (dissemination). Results showed there was a significant difference between themes expressed, health beliefs manifested, and observed linguistic patterns in true and false information. Implications for informatics-driven digital health utilities, such as theory-informed knowledge models and context-aware risk communications, are discussed.In primary care allocating appointments to sequential requests can result in sub-optimal scheduling. Optimal scheduling requires hiring of consultants to analyze historical patterns. Many practices focus their resources on larger problems instead of optimizing appointment schedules. We simulate simple heuristics to compare their performance with optimal schedules uncovered using offline optimization models. We use uncapacitated appointment calendars for a nationally representative heterogeneous primary care panel to meet all patients' requests. The stochastic nature of appointment requests gives a distribution for daily appointments and for the uncovered optimal capacity. The First Minimum heuristic gives near-optimal schedules and can be easily implemented in small practices using pen-and-paper, without any investment in computer-systems.Telehealth has evolved as a very comprehensive tool for treating patients with mild to moderate symptoms across the globe during the global pandemic. Adoption of Telehealth in India posed special challenges because of its diversity in languages. Lack of proper healthcare infastructure and especially poor network connectivity have affected pre-hospitalisation care. We have developed an easy to use replicable tool and shown the path to succesful telecare for affected communities. Methods MedicAidTM - an EMR software has been used along with Zoom® to quickly provide online consultations for COVID patients, individually and in groups. Results A total of 60 COVID patients were given online consultation and provided support with recovery in all. Conclusion Group based community care is safe for mass treatment of COVID.Emergency department (ED) overcrowding is an ongoing problem worldwide. Scoring systems are available for the detection of this problem. This study aims to combine a model that allows the detection and management of overcrowding. Therefore, it is crucial to implement a system that can reason model, rank ED resources and ED performance indicators based on environmental factors. Thus, we propose in this paper a new domain ontology (EDOMO) based on a new overcrowding estimation score (OES) to detect critical situations, specify the level of overcrowding and propose solutions to deal with these situations. Our approach is based on a real database created during more than four years from the Lille University Hospital Center (LUHC) in France. The resulting ontology is capable of modeling complete domain knowledge to enable semantic reasoning based on SWRL rules. The evaluation results show that the EDOMO is complete that can enhance the functioning of the ED.
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