The rapid growth of software applications within healthcare organizations has made it essential to have defined methodologies and formal processes for the management of the entire Information Technology (IT) portfolio. Utilizing a portfolio management framework throughout an application’s lifecycle will provide the necessary structure to ensure that all new applications are properly evaluated, and, once implemented, remain relevant while continuing to meet organizational requirements. While an organization may have a few large "organization-wide" systems such as the Electronic Health Record (EHR), lab or radiology systems, they also have a large quantity of other clinical, administrative, and research systems. Some larger organizations now have hundreds of software applications to support and manage. The IT staff must be able to implement new requests while still maintaining the current application portfolio. Utilizing a standard repeatable process will help to manage these large portfolios of software applications. This book reviews the management of applications throughout their lifecycle, from initial request through disposition. Best practices dictate that every newly requested application undergoes analysis followed by an approval decision from the organization’s governance committee. The initial implementation project must include activities to prepare for ongoing support while ensuring the application is compliant with all security, privacy, and architecture requirements. An application spends years in operations and maintenance where changes occur regularly through configuration and release management, or additional projects. The cycle continues until disposition. Understanding when to dispose of an application is just as important as deciding when to implement a new one. A defined process for disposing of an application ensures all parts are properly removed or destroyed.

Includes numerous case studies and examples throughout. • Questions are provided at the end of each chapter. • Includes valuable templates and tools. • The content is written with the project manager in mind, providing the right level of detail to allow them to know what questions to ask for their specific project. • Updated based on current technologies, concepts and trends, along with additional templates and tools.

This new edition is a comprehensive source of imaging informatics fundamentals and how those fundamentals are applied in everyday practice. Imaging Informatics Professionals (IIPs) play a critical role in healthcare, and the scope of the profession has grown far beyond the boundaries of the PACS. A successful IIP must understand the PACS itself and all the software systems networked together in the medical environment. Additionally, an IIP must know the workflows of all the imaging team members, have a base in several medical specialties and be fully capable in the realm of information technology. Practical Imaging Informatics has been reorganized to follow a logical progression from basic background information on IT and clinical image management, through daily operations and troubleshooting, to long-term planning. The book has been fully updated to include the latest technologies and procedures, including artificial intelligence and machine learning. Written by a team of renowned international authors from the Society for Imaging Informatics in Medicine and the European Society of Medical Imaging Informatics, this book is an indispensable reference for the practicing IIP. In addition, it is an ideal guide for those studying for a certification exam, biomedical informaticians, trainees with an interest in informatics, and any professional who needs quick access to the nuts and bolts of imaging informatics.

This book presents the post-proceedings, including all revised versions of the accepted papers, of the 2017 European Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017). The goal of BodyNets 2017 was to provide a world-leading and unique forum, bringing together researchers and practitioners from diverse disciplines to plan, analyze, design, build, deploy and experiment with/on Body Area Networks (BANs).

Today, the pressure on healthcare costs and resources is increasing, and especially for biopharmaceuticals that require parenteral administration, the inherent complex and invasive dosing procedure adds to the demand for efficient medical management. In light of the COVID-19 pandemic the value of drug delivery technologies in enabling a flexible care setting is broadly recognized. In such a setting, patients and their caregivers can choose the place of drug administration based on individual preferences and capabilities. This includes not only dosing in the clinic but also supervised at-home dosing and self-administration for eligible patients. Formulation and Device Lifecycle Management of Biotherapeutics: A Guidance for Researchers and Drug Developers covers the various aspects of improving drug delivery of biological medicines with the ultimate goal to reduce dosing complexity associated with parenteral administration and, thus, enhance patient experience and drug administration-related healthcare capacity. The target audience are multidisciplinary researchers and drug developers in the pharmaceutical industry, biotech companies, and academia involved in formulation and device development. This includes pharmacology and medical experts in charge of generating nonclinical and clinical data to support approval of novel dosing regimens, and drug delivery scientists and engineers responsible for technical particulars of product optimizations. Moreover, professionals in market access and commercial functions are expected to benefit from the discussions about the impact of patient and healthcare provider needs and country-specific reimbursement models on realizing a truly convenient and cost and resource efficient drug delivery solution. - Summarizes formulation and device lifecycle management activities that enable customer-centric and sustainable drug delivery for biotherapeutics - Describes the pharmacokinetic-based clinical development pathway for subcutaneous dosing alternatives to established intravenous formulations for monoclonal antibodies - Details established clinical development pathways supporting the approval of automated subcutaneous injection devices and proposes novel concepts - Discusses how to realize home- and self-administration of biotherapeutics in cancer care - Highlights aspects of multidisciplinary formulation and device lifecycle management that can be leveraged across different disease areas and introduces a decision architecture on when and how drug developers should embark into related development activities

This book constitutes the refereed proceedings of the 12th International Conference on Software Process Improvement and Capability Determination, SPICE 2012, held in Palma de Mallorca, Spain, in May 2012. The 21 revised full papers presented and 14 short papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on organizational process improvement; SPI in small and very small enterprises; process models; SPI in automotive software and security; SPI in medical and safety critical systems; short papers.

This research topic centers on the practical application of game theory and optimization methods to address complex challenges in real-world contexts. At its core, game theory provides a framework for analyzing strategic interactions among rational decision-makers, while optimization techniques are designed to seek the most favorable outcomes. These tools have proven to be powerful assets across a wide range of domains, from economics and computer science to social sciences and engineering. The following objectives guide this exploration: (i) Understanding Game Theory and Optimization in Real-world Contexts: This objective involves investigating how these mathematical constructs are applied to model and resolve problems across various fields. (ii) Analyzing the Effectiveness of Game Theory and Optimization Techniques: This involves studying real-world case studies and practical applications with the goal of evaluating the performance and efficiency of these methods in practice. (iii) Identifying Potential Areas for Effective Application of Game Theory and Optimization: This objective aims to pinpoint sectors or disciplines that may significantly benefit from the application of these mathematical techniques. The goal of this Research Topic in Frontiers in Physics aims to produce a comprehensive understanding of the real-world applications of game theory and optimization, highlighting their practical impact and potential for future use. It will provide valuable insights for professionals and researchers working in the fields where these techniques can be applied and contribute to the body of knowledge in game theory and optimization. Potential topics include but are not limited to the following: 1. Economics and Business: How are game theory and optimization used to make strategic business decisions and to understand economic phenomena? 2. Computer Science: How do these techniques contribute to areas like network design, machine learning, and algorithm development? 3. Social Sciences: How can game theory and optimization help in understanding social dynamics, designing policies, and resolving conflicts? 4. Engineering and Operations Research: How are these techniques utilized in system design, process optimization, and decision-making?

There is rapid development and change in the field of computer science today. These affect all areas of life. Emerging topics in computer science are covered in this book. In the first chapter, a specific IoT application called a smart mailbox with face recognition, which uses cellular connectivity and image processing to securely deliver valuable documents. The prototype for this system includes a fingerprint reader, camera, electromagnetic lock, and various other components connected to an Arduino Uno and a Raspberry Pi, and uses OpenCV and Python software for face detection and recognition. In the second chapter, authors compares and evaluates the main characteristics of 5G channels and the performance of two channel coding candidates, low-density parity-check (LDPC) codes and polar codes. The analysis considers block error rate, bit error rate, computational complexity, and flexibility, and finds that polar codes outperform LDPC code systems, though LDPC is still a viable option compared to other code systems. The third chapter focuses on how to reliably process and store DNA sequences in EHR systems without any modifications. To achieve this, the authors introduce a coding technique and evaluate its effectiveness using the Hamming code and Reed-Solomon coding schemes on a sample data set. The results show that the Reed-Solomon coding scheme outperforms the Hamming code in terms of error detection and correction for securely processing DNA records to EHR systems. The next chapter investigates the robustness of AI models trained on thyroid ultrasound images using different convolutional neural network (CNN) architectures (VGG19, Xception, ResNet50V2, and EfficientNetB2) against adversarial attacks using the fast gradient sign method (FGSM), basic iterative method (BIM), and projected gradient descent (PGD) techniques. In the fifth chapter, it was questioned whether artificial intelligence could write an academic article. In this direction, an academic article was created and evaluated by OpenAI ChatGPT. The final chapter proposes an application to measure RF signal intensities in urban areas and use that information to estimate the amount of energy that can be harvested from these signals. This information is then presented to users through a geographical information system.