SAD_BaSe: a blood bank data analysis software

Publicado em "6th International Conference on Practical Applications of Computational Biology & Bioinformatics (ISBN : 978-3-642-28838-8)"The main goal of this project was to build a Web-based information system – SAD_BaSe – that monitors blood donations and the blood production chain in a user-friendly way. In particular, the system keeps track of several data indicators and supports their analysis, enabling the definition of collection and production strategies and, the measurement of quality indicators required by the Quality Management System of blood establishments. Data mining supports the analysis of donor eligibility criteria

Blood Distribution System using Data Mining

Blood is a saver of all existing lives in case of emergency needs. During the blood transfusion process, the acceptor receiving blood should be considered before donating the blood. The blood donor information should be checked before displaying their details on the website. In this paper, we propose a web application to timely update the information regarding the donors, acceptor and patients where the administrator access the whole information about blood bank distribution system. It also maintains the amount of each available blood groups, if the stock of a particular blood group is lower than the required amount then the proposed method notifies the donor to donate blood. The web based application is readily scalable, efficient and adaptable to meet the complex need of blood bank who is key facilitators for the healthcare sector. Hence the life at threat can be saved by this optimization technique

Haemovigilance:current practices and future developments

Haemovigilance is the systematic surveillance of adverse events in the transfusion chain, and encompasses activities that contribute to the safety and quality in the process of blood donation and transfusion. From the start in the early 1990s, haemovigilance has put emphasis on different adverse reactions and incidents in recipients and subsequently in donors, pointing to vulnerabilities in the transfusion chain and areas for prevention. More recently, the monitoring of efficacy and efficiency of transfusion practice has been introduced in the concept of haemovigilance. The purpose of this review is to present an overview of the current status and future developments of haemovigilance. Haemovigilance is part of the quality systems of the blood collection establishments, transfusion laboratories and the transfusion institutions. The monitoring, investigation and analysis of adverse events generates relevant data for the quality cycle of these systems, driving continuous improvement in transfusion practice. Recommendations based on haemovigilance findings have led to changes in clinical guidelines and policies. Despite the progress haemovigilance has made, further developments are needed. Current challenges lie in the field of the establishment of haemovigilance systems in low resource settings, the international harmonisation of definitions and the prevention of underreporting. In addition, the causal relationship between the transfusion and the reaction is often unclear. Biomarkers may aid in the imputability assessment and their role in the diagnosis of transfusion reactions needs to be further investigated. Future developments are expected in automated reporting, the use of big data and increased shareability of international data, contributing to a better understanding of the causal mechanisms and risk factors, and to prevention of adverse events. Haemovigilance is an evolving discipline and will continue to contribute to improving the safety of blood donation and transfusion

#Blockchain4EU: Blockchain for Industrial Transformations

The project #Blockchain4EU is a forward looking exploration of existing, emerging and potential applications based on Blockchain and other DLTs for industrial / non-financial sectors. It combined Science and Technology Studies with a transdisciplinary policy lab toolbox filled with frameworks from Foresight and Horizon Scanning, Behavioural Insights, or Participatory, Critical and Speculative Design. Amid unfolding and uncertain developments of the Blockchain space, our research signals a number of crucial opportunities and challenges around a technology that could record, secure and transfer any digitised transaction or process, and thus potentially affect large parts of current industrial landscapes. This report offers key insights for its implementation and uptake by industry, businesses and SMEs, together with science for policy strategic recommendations.JRC.I.2-Foresight, Behavioural Insights and Design for Polic

Dying U.S. Blood Supply Needs Life-Giving Transfusion of Its Own:Regaining and Maintaining a Critical National Resource

There are many components vitally essential to our biological function, and humanity tends to recognize, and often fight against, mounting threats to those very things. As a civilized society, Americans, in general, expect clean air, drinkable water, and safe food on a daily basis. However, a resource equally as essential to each of us is rarely recognized for its utility and necessity until a threat to its viability becomes personal. The blood shortage in the United States grows more critical every day, but for those of us lucky enough to not urgently need blood, the threat feels more removed and less important than similar threats to the air we breathe, the water we drink, and the food we consume. This article looks at the history of blood donation, collection, and supply in the United States, and how changing societal norms, unworkable federal regulation, and misdirected economic influences are impacting the blood shortage crisis. The result is an urgent need to reconsider how the blood supply system could work to more efficiently solve for the even larger, more urgent need for blood

Characterization of Behavioural Patterns of Portuguese Blood Donors using Supervised and Unsupervised Learning

Tese de mestrado, Ciência de Dados, Universidade de Lisboa, Faculdade de Ciências, 2022Blood donations are essential to save innumerous lives on a global scale on a daily basis. Without blood donations, many medical procedures cannot take place. Thus, the study of what motivates blood donors to donate and how they behave is important to ensure a stable and safe blood supply. Several studies tried to understand the most important factors for blood donor return, by using mainly logistic regression models. Those studies identified several donor demographic characteristics as impor tant factors to describe donors’ future behaviour. However, in this dissertation it is argued that if models have a poor performance in the task for which they are trained for, the conclusions taken from them may be erroneous. Thus, this dissertation presents a contribution for the study of understanding blood donor behaviour by using the most recent machine learning, evaluation and interpretability techniques. In this dissertation, several machine learning experiments are implemented aiming to predict blood donors return one year following a given donation, gaining insights about blood donors future behaviour and which factors influence it the most. Primarily, the blood donations dataset is split according to several geographic characteristics. Each segment is further split into blood donations from new and experienced donors (i.e. those who donated more than once). For experienced donors several features regarding their past behaviour are computed. Finally, different machine learning models are trained on top of each segment. Our results suggest that donor’s demographics, as well as features regarding the donation, are not enough to predict donor return. As such, it is not possible to estimate the impact that donor’s demo graphics have on donor’s future behaviour. However, models trained over experienced donors performed significantly better than those trained over new donors data, due to the impact of past behaviour features. However, even with past behaviour features the machine learning models do not achieve outstanding scores in predicting donor future behaviour, and, as such, this work demonstrates that both demographics and past behaviour features are insufficient to accurately explain future behaviour

Data Mining and Data Matching: Regulatory and Ethical Considerations Relating to Privacy and Confidentiality in Medical Data

The application of data mining techniques to health-related data is beneficial to medical research. However, the use of data mining or knowledge discovery in databases, and data matching and profiling techniques, raises ethical concerns relating to consent and undermines the confidentiality of medical data. Data mining and data matching requires active collaboration between the medical practitioner and the data miner. This article examines the ethical management of medical data including personal information and sensitive information in the healthcare sector. It offers some ethical and legal perspectives on privacy and the confidentiality of medical data. It examines the International landscape of health information privacy protection, relevant Australian legislation and recommendations to improve the ethical handling of medical data proposed by the Australian Law Reform Commission

Implementation of Vascularized Composite Allografts in the United States: Recommendations From the ASTS VCA Ad Hoc Committee and the Executive Committee

Like all other areas of transplantation, vascularized composite allografts (VCA) has the capacity to transform the lives of patients, for the better or for the worse. It is this duality that mandates VCA be performed in centers prepared for the intricacies accompanying other transplant procedures. Similarly, the complexities of VCA require that the procedures be driven by surgeons and physicians with experience in the multidisciplinary management of immunocompromised postsurgical patients. Furthermore, the grafts should be considered as organs rather than tissues from a regulatory and a biological standpoint. The ASTS supports the field of VCA and has demonstrated its support and leadership by actively formulating a strategy for its systematic development. The goal of this document is to provide a framework for the prospective, thoughtful realization of VCA in the United States from the American Society of Transplant Surgeons (ASTS) perspective.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79113/1/j.1600-6143.2010.03374.x.pd