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Observational data resources based on the capture of clinical data in the electronic health record (EHR) have produced significant learning opportunities in many areas of medicine. These large data resources can span multiple hospital systems and employ common semantics, ontologies, and data models. They have uncovered critical safety issues for patients, and spurred observational research and clinical...
A medical error comes in many forms e.g. Medication error, Surgical error, Diagnostic error and System failure etc. The Prescription error is a major medication error. Computerized Provider Order Entry (CPOE) and Clinical Decision Support System (CDSS) have been developed and deployed by many hospitals to prevent medical errors. However, these tools are more applicable for hospitalized patients. In...
Electronic medical record (EMR) system has become increasingly more important in developed countries due to its convenience and efficiency in medical information storage, management and analysis. However, one of the main limitations of EMR lies in that the clinical data for patients cannot be exchanged among different medical institutions. Recently, the cloud-based clinic system, featuring in lower...
This research aims to determine the cause-effect series with concepts of problem events, especially drug-addiction, expressed by several simple sentences from web documents. The cause-effect series benefits for the problem-solving system. The research has two problems; how to determine sentences having cause/effect event concepts, and how to determine the cause-effect relation pairs with the boundary...
A drug can be used to deal more than one diseases and to deal an illness often need a combination of more than one drugs. This paper present how to discover a pattern of a combination of medicines related to a diagnosis of diseases using FP-Growth one of frequent pattern mining algorithm. We use FP-Growth because it has better performance than Apriori and Eclat. Data is collected from outpatients...
We develop a new microfluidic technique to generate lipid-stabilized microbubbles of 1–7 μm diameter. We shrink microbubbles that are initially O(100) μm in diameter by using a vacuum system. We use a polydimethylsiloxane (PDMS) microfluidic device to generate microbubbles in a conventional flow focusing orifice. The bubbles pass through a serpentine channel while under vacuum pressure, and shrink...
In the pharmaceutical supply chain, all players have to ensure the highest level of service while containing costs, because of the ethical issues concerning drugs. The outsourcing of logistics should be recognized as a competitive lever, especially in this complex and highly regulated industry. Based on these premises, the research objective of this study is to investigate the relationship between...
The study of health-related topics on social media has become a useful tool for the early detection of the different adverse medical conditions. In particular, it concerns cases related to the treatment of mental diseases, as the effects of medications here often prove to be unpredictable. In our research, we use convolutional neural networks (CNN) with word2vec embedding to classify user comments...
Lean and Six Sigma are approaches that have the same motivation: Processes improvement and customer satisfaction. Both were used separately in the healthcare sector, but rarely together. This paper intends to integrate the two approaches in order to reach the highest level of patient safety.
In this feasibility study, we demonstrate the use of a factorgraph-based probabilistic graphical model approach to process longitudinal data derived from a population's electronic health records (EHR). Processing of EHR allows for forecasting patient-specific health complications and inference of population-level statistics on several epidemiological factors. As a case-study, we provide preliminary...
Face increasing demands, the Moroccan hospitals need currently to understand the complexity of the hospitable system at several levels and one of them is medicine drugs supply chain. The medicine drug is a strategic element in the medical policy. Considering the importance of this product in hospital, we propose decision-making models that allow help pharmaceutical staff and we take as example a hospital...
Adequate healthcare has always been a topic of concern in Bangladesh. As the population of Bangladesh is increasing exponentially, it has become impossible to deliver proper healthcare to all of its residence. For that reason alternate resources for healthcare have become almost a necessity today. Modern world is driven by technology and electronic healthcare system can be the solution we are looking...
This work presents an on-line system developed for medical information extraction. The goal is to provide a web-based service addressed to the medical community for the efficient processing of electronic health records in Spanish and support the clinical decision making process. This tool assists in the identification of medical entities as well as cause-effect reactions in order to help professionals...
We apply Discrete Event Simulation (DES) to a system of two strongly interconnected departments, an outpatient oncology clinic for chemotherapy delivery, and the pharmacy unit that prepares the chemotherapy drugs. The model is developed in close collaboration with the French hospital Henri Mondor, and is validated using real data. The objective is to identify sources of patient waiting times in the...
We provide an overview of the recent trends toward digitalization and large-scale data analytics in healthcare. It is expected that these trends are instrumental in the dramatic changes in the way healthcare will be organized in the future. We discuss the recent political initiatives designed to shift care delivery processes from paper to electronic, with the goals of more effective treatments with...
Background: The duplication of medication orders is a critical issue that causes medication errors for patients and wastes medical resources?National Health Insurance of Taiwan provided a NHI-PharmaCloud web-based database, and it contains the most complete personal drug history across different healthcare facilities in Taiwan. Currently, most healthcare facilities check the patients' cross facility...
A small number of drugs that have teratogenic effects would be fatal and should not be given to a pregnant woman, so be required a software that can provide information with warning systems to reduce medication administration errors in pregnant women.
Nowadays, scientific researches attribute a crucial importance to hospital sector. The improvement of this sector is considered by the literature as strongly depending on well mastered hospital supply chain, more exactly drug supply chain. Hence, several research studies have worked on the management of drug supply chain by offering diverse approaches and management models. In this paper, we focus...
With the growing attention to evidence-based medical guideline development, longitudinal analysis of Electronic Medical Records (EMR) has become a good tool for providing insight into and new knowledge on the existing therapy. For chronic diseases, longitudinal analysis of medication history plays a key role in reaching this goal. However, raw medication data in EMR are not suitable for longitudinal...
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