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| athena emr training: AWS Certified Cloud Practitioner Complete Training Guide IPSpecialist, AWS Certifications are industry-recognized credentials that validate your technical cloud skills and expertise while assisting in your career growth. These are one of the most valuable IT certifications right now since AWS has established an overwhelming lead in the public cloud market. Even with the presence of several tough competitors such as Microsoft Azure, Google Cloud Engine, and Rackspace, AWS is by far the dominant public cloud platform today, with an astounding collection of proprietary services that continues to grow. The AWS Certified Cloud Practitioner (CLF-C01) examination is intended for individuals who have the knowledge and skills necessary to effectively demonstrate an overall understanding of the AWS Cloud, independent of specific technical roles addressed by other AWS certifications (e.g., Solutions Architect - Associate, Developer - Associate, or SysOps Administrator - Associate). The certification will provide you a high level overview on what AWS Cloud is all about. The exam covers four domains, including AWS core services, cloud concepts, security aspect, pricing and support services. AWS Certified Cloud Practitioner is a new entry-level certification and enables individuals to validate their knowledge of the AWS Cloud with an industry-recognized credential. This certification exam validates your ability to define and identify: • AWS Cloud and its basic global infrastructure • AWS Cloud architectural principles • AWS Cloud value proposition • Key services on the AWS platform and their common use cases (example, compute and analytics) • Basic security and compliance aspects of the AWS platform and the shared security model • Billing, account management, and pricing models • Sources of documentation or technical assistance (example, whitepapers or support tickets) • Basic and core characteristics of deploying and operating in the AWS Cloud |
| athena emr training: Global Mental Health Training and Practice Bibhav Acharya, Anne E. Becker, 2023-07-20 The enormous health and social burdens associated with mental disorders have global reach and persist in the setting of unmet needs. To address these, the pipeline of global mental health trainees must be expanded and nurtured as the next generation of practitioners, investigators, and educators advance innovation in mental health prevention, promotion, and health delivery. This book offers a much-needed introduction to the rapidly evolving field of global mental health. The editors bring their extensive expertise and experience in global mental health research, practice, and training, which includes working in academic and non-profit settings, building collaborations, and teaching hundreds of students and trainees. The volume’s 12 chapters - authored by over 60 contributors from multiple disciplines - offer a breadth of content that comprises an introductory framework. This volume is an essential read for learners and educators who seek to explore or deepen their interest in the field of global mental health. Its orientation to fundamentals of practice and training and contextualization with social science perspectives will also be invaluable to health professionals, social scientists, policymakers, and other professionals who are invested in training the next generation of global mental health practitioners. |
| athena emr training: Learn Amazon SageMaker Julien Simon, 2020-08-27 Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker’s capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerAnalyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniquesImprove productivity by training and fine-tuning machine learning models in productionBook Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learnCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Become well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and NLP models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial. |
| athena emr training: Serverless Analytics with Amazon Athena Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick, Rahul Pathak, 2021-11-19 Get more from your data with Amazon Athena's ease-of-use, interactive performance, and pay-per-query pricing Key FeaturesExplore the promising capabilities of Amazon Athena and Athena's Query Federation SDKUse Athena to prepare data for common machine learning activitiesCover best practices for setting up connectivity between your application and Athena and security considerationsBook Description Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using SQL, without needing to manage any infrastructure. This book begins with an overview of the serverless analytics experience offered by Athena and teaches you how to build and tune an S3 Data Lake using Athena, including how to structure your tables using open-source file formats like Parquet. You'll learn how to build, secure, and connect to a data lake with Athena and Lake Formation. Next, you'll cover key tasks such as ad hoc data analysis, working with ETL pipelines, monitoring and alerting KPI breaches using CloudWatch Metrics, running customizable connectors with AWS Lambda, and more. Moving on, you'll work through easy integrations, troubleshooting and tuning common Athena issues, and the most common reasons for query failure. You will also review tips to help diagnose and correct failing queries in your pursuit of operational excellence. Finally, you'll explore advanced concepts such as Athena Query Federation and Athena ML to generate powerful insights without needing to touch a single server. By the end of this book, you'll be able to build and use a data lake with Amazon Athena to add data-driven features to your app and perform the kind of ad hoc data analysis that often precedes many of today's ML modeling exercises. What you will learnSecure and manage the cost of querying your dataUse Athena ML and User Defined Functions (UDFs) to add advanced features to your reportsWrite your own Athena Connector to integrate with a custom data sourceDiscover your datasets on S3 using AWS Glue CrawlersIntegrate Amazon Athena into your applicationsSetup Identity and Access Management (IAM) policies to limit access to tables and databases in Glue Data CatalogAdd an Amazon SageMaker Notebook to your Athena queriesGet to grips with using Athena for ETL pipelinesWho this book is for Business intelligence (BI) analysts, application developers, and system administrators who are looking to generate insights from an ever-growing sea of data while controlling costs and limiting operational burden, will find this book helpful. Basic SQL knowledge is expected to make the most out of this book. |
| athena emr training: Beyond EHR Jeffery Daigrepont, EFPM, CAPPM, 2020-11-29 Today, it is not uncommon for practices and hospitals to be on their second or third EHR and/or contemplating a transition from the traditional on-premise model to a cloud-based system. As a follow-up to Complete Guide and Toolkit to Successful EHR Adoption (©2011 HIMSS), this book builds on the best practices of the first edition, fast-forwarding to the latest innovations that are currently leveraged and adopted by providers and hospitals. We examine the role that artificial intelligence (AI) is now playing in and around EHR technology. We also address the advances in analytics and deep learning (also known as deep structured or hierarchical learning) and explain this topic in practical ways for even the most novice reader to comprehend and apply. The challenges of EHR to EHR migrations and data conversions will also be covered, including the use of the unethical practice of data blocking used as a tactic by some vendors to hold data hostage. Further, we explore innovations related to interoperability, cloud computing, cyber security, and electronic patient/consumer engagement. Finally, this book will deal with what to do with aging technology and databases, which is an issue rarely considered in any of the early publications on healthcare technology. What is the proper way to retire a legacy system, and what are the legal obligations of data archiving? Though a lot has changed since the 2011 edition, many of the fundamentals remain the same and will serve as a foundation for the next generation of EHR adopters and/or those moving on to their second, third, fourth, and beyond EHRs. |
| athena emr training: Hacking Healthcare Fred Trotter, David Uhlman, 2011-10-07 Ready to take your IT skills to the healthcare industry? This concise book provides a candid assessment of the US healthcare system as it ramps up its use of electronic health records (EHRs) and other forms of IT to comply with the government’s Meaningful Use requirements. It’s a tremendous opportunity for tens of thousands of IT professionals, but it’s also a huge challenge: the program requires a complete makeover of archaic records systems, workflows, and other practices now in place. This book points out how hospitals and doctors’ offices differ from other organizations that use IT, and explains what’s necessary to bridge the gap between clinicians and IT staff. Get an overview of EHRs and the differences among medical settings Learn the variety of ways institutions deal with patients and medical staff, and how workflows vary Discover healthcare’s dependence on paper records, and the problems involved in migrating them to digital documents Understand how providers charge for care, and how they get paid Explore how patients can use EHRs to participate in their own care Examine healthcare’s most pressing problem—avoidable errors—and how EHRs can both help and exacerbate it |
| athena emr training: Communicating about Health Athena DuPré, 2014 An ideal combination of communication theory and practical advice, Communicating About Health: Current Issues and Perspectives, Fourth Edition, is an indispensable resource for readers looking to improve their communication abilities in the health care field. Written by Athena du Pr�--an experienced researcher and noted scholar--the text offers an excellent balance of theory and practice; research and pedagogy; coverage of patient/caregiver issues; and material on the current, historical, and philosophical backgrounds of communication in health care. In addition to enhancing features found in the previous edition, this new edition includes a greater emphasis on theory, narrative, and technology in order to reflect changes in the health industry. What's New to the Fourth Edition? * A new chapter--eHealth, mHealth, and Telemedicine--describes the global impact of smartphone and tablet technology, tailored health messages, and the Internet on the health industry * A new chapter, Health Care Administration, Human Resources, Marketing, and PR, provides in-depth coverage of the contributions and communication strategies involved in leadership, morale, service excellence, community engagement, and more * An expanded discussion of communication not only involves physicians and nurses but also pharmacists, allied health personnel, dentists, therapists, and others * New features--Can You Guess?, What Do You Think?, Check It Out!, and In Your Experience--offer a higher level of engagement with students and stimulate critical thinking and discussion Support Package (contact your Oxford sales representative or call 800-280-0280 to request these resources) * An interactive website, known as a Prezi, is available for each chapter at www.oup.com/us/dupre and includes videos, activities, discussion questions, key points, and more. Suitable for use in class or online. * An Instructor's Manual and Test Bank, available both in print and online at www.oup.com/us/dupre, features sample syllabi, test questions, self-assessment activities, background reading, and more. |
| athena emr training: Data Science on AWS Chris Fregly, Antje Barth, 2021-04-07 With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more |
| athena emr training: Where Does it Hurt? Jonathan Bush, Stephen Baker, 2014 Jonathan Bush of athenahealth leads readers through the underbelly of American health care, which has missed the customer service revolution of the past two decades, while reflecting on his own journey from ambulance driver to CEO of one of the nation's fastest growing tech companies. He offers a vision and plan for disrupting the current system and pushes to restore the sanctity of the physician-patient experience. The key, he argues, is more innovation, less regulation, and a wider range of choices for customers--Provided by publisher. |
| athena emr training: Practical Lakehouse Architecture Gaurav Ashok Thalpati, 2024-07-24 This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture shows you how to: Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution Understand the differences between traditional and lakehouse data architectures Differentiate between various file formats and table formats Design lakehouse architecture layers for storage, compute, metadata management, and data consumption Implement data governance and data security within the platform Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case Make critical design decisions and address practical challenges to build a future-ready data platform Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse |
| athena emr training: Promoting Health for Working Women Athena Linos, Wilhelm Kirch, 2007-11-16 Based on European health initiatives on reducing workplace risks and promoting workplace health, this book focuses on issues that predominantly or exclusively affect women, or have gender-specific implications due to workplace inequalities. Among the topics covered: occupational hazards, work/life balance issues, pregnancy, smoking cessation, alcohol awareness, diet/exercise and other lifestyle concerns. |
| athena emr training: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics Andreas Holzinger, Igor Jurisica, 2014-06-17 One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security. |
| athena emr training: Examining ICD-10 Implementation United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health, 2015 |
| athena emr training: PEDIATRIC TELEPHONE PROTOCOLS BARTON D. SCHMITT, 2004 |
| athena emr training: Fortune Henry Robinson Luce, 2007 |
| athena emr training: AWS Certified Machine Learning Study Guide Shreyas Subramanian, Stefan Natu, 2021-11-19 Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions. The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture. From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam. You’ll also find: An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning. |
| athena emr training: Ultimate AWS Certified Solutions Architect Associate Exam Guide Venkata Sasi Kanumuri, Otieno Ododa, 2024-09-25 TAGLINE Your Definitive Path to Mastering Cloud Architecture Skills and Conquering the SAA-C03 Exam. KEY FEATURES ● Immerse in practical learning to solidify your grasp of AWS architecture principles. ● Gain insights from industry-leading tips and best practices to think like an expert Solution Architect. ● Designed for all experience levels, this guide caters to both beginners and seasoned professionals. ● Deepen your knowledge of core AWS services while exploring advanced topics like serverless computing, containers, and machine learning. ● Equip yourself with proven strategies and expert tips to confidently pass the AWS Certified Solutions Architect - Associate exam. DESCRIPTION The AWS Certified Solutions Architect - Associate SAA-C03 credential boosts career prospects and salaries, with 73% of professionals seeing job improvements and a 26% salary increase. The Ultimate AWS Certified Solutions Architect - Associate (SAA-C03) Certification Guide equips you with the knowledge to master AWS architecture, from core services to advanced topics like serverless computing and machine learning, with practical examples and expert insights that are crucial for passing the exam and excelling in real-world applications. This book not only covers the fundamentals but also explores advanced topics like serverless computing, containers, and machine learning. Each chapter is packed with practical examples, real-world scenarios, hands-on exercises, and expert insights that will build your confidence and competence as a cloud architect. With this guide, you will gain the knowledge and skills needed to create highly available, fault-tolerant architectures that meet the demands of today’s dynamic cloud environments. Whether you are aiming to pass the AWS Certified Solutions Architect – Associate exam or looking to enhance your cloud architecture skills, this book is your gateway to success. Take the first step towards becoming an AWS Certified Solutions Architect and unlock new horizons in your cloud architecture career today! WHAT WILL YOU LEARN ● Develop a strong grasp of cloud fundamentals, essential for thriving in the fast-paced world of cloud technology. ● Learn to build secure, fault-tolerant, and cost-efficient AWS architectures that meet diverse business requirements. ● Gain comprehensive knowledge of AWS services like computing, storage, networking, and databases to create scalable and reliable cloud solutions. ● Explore cutting-edge AWS solutions such as serverless computing, containers, and machine learning to enhance your cloud architectures. ● Develop the skills to tackle complex cloud environments with confidence, using practical insights and strategies to solve real-world problems. ● Master expert tips and targeted strategies to excel in the AWS Certified Solutions Architect – Associate (SAA-C03) exam and achieve certification. WHO IS THIS BOOK FOR? This book is tailored for aspiring AWS professionals and those looking to advance as Solution Architects, with a focus on preparing for the SAA-C03 exam. No prior experience in cloud application development or deployment is required, making it an ideal resource for beginners eager to start their AWS journey. Experienced professionals will also find value in the comprehensive coverage and advanced topics, ensuring they can refine their skills and achieve certification success. TABLE OF CONTENTS 1. Introduction to Cloud Computing, AWS, and AWS SAA C-03 2. Identity and Access Management in AWS 3. Networking in AWS 4. Cloud Storage 5. Deep-Dive into AWS Compute 6. Deep Dive Into AWS Databases 7. AWS Application Services 8. AWS Management and Governance Services 9. AWS Cloud Security 10. Cloud Architecture and AWS Framework 11. AWS SAA C-03 Certification Preparation Index |
| athena emr training: Professional Well-Being Grace Gengoux, Ph.D., BCBA-D, Sanno E. Zack, Ph.D., Jennifer L. Derenne, M.D., Athena Robinson, Ph.D., Laura B. Dunn, M.D., Laura Weiss Roberts, M.D., M.A., 2020-03-24 This volume is a collaboration by several psychiatrists and psychologists who posit a new culture, one that is supportive of the health and well-being of health care professionals and the patients and populations they serve. The individual and systemic barriers to professional well-being and the unique challenges faced by health care providers at different stages of professional and personal development are examined. Personal resilience and realistic strategies to improve well-being are discussed. Detailed case studies and vignettes and thought-provoking discussion questions and exercises are included-- |
| athena emr training: AI Fundamentals Courseware Reinier van den Biggelaar, 2023-09-26 The AI Fundamentals courseware offers an AI training course designed for professionals in business or government environments who want to understand the benefits and applications of AI in their work environment. This course covers topics such as data management for AI, building and assessing AI applications, ethics and trustworthiness, and organizational success factors for enabling humans and machines to work together. The course addresses key questions such as “Where does Data Management end and AI application begin?” from a management perspective. Subjects covered include the applications and benefits of AI, data and robots, predictions and algorithms, machine and deep learning, building and reviewing AI applications, data management for AI, ethics and trustworthiness, organizational success factors for helping humans and machines work together, and the future of AI. This courseware educates for three certifications within it’s three-day combined program. It’s also possible to cut the material in pieces for a module teaching approach. The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. This AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective. |
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| athena emr training: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| athena emr training: Voices of Innovation Edward W. Marx, 2023-07-17 Everyone talks innovation and we can all point to random examples of innovation inside of healthcare information technology, but few repeatable processes exist that make innovation more routine than happenstance. How do you create and sustain a culture of innovation? What are the best practices you can refine and embed as part of your organization’s DNA? What are the potential outcomes for robust healthcare transformation when we get this innovation mystery solved? Through timely essays from leading experts, the first edition showcased the widely adopted healthcare innovation model from HIMSS and how providers could leverage to increase their velocity of digital transformation. Regardless of its promise, innovation has been slow in healthcare. The second edition takes the critical lessons learned from the first edition, expands and refreshes the content as a result of changes in the industry and the world. For example, the pandemic really shifted things. Now providers are more ready and interested to innovate. In the past year alone, significant disruptors (such as access to digital health) have entered the provider space threatening the existence of many hospitals and practices. This has served as a giant wake-up call that healthcare has shifted. And finally, there is more emphasis today than before on the concept of patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations that will help address clinician burnout while better engaging patients and families. Loaded with numerous case studies and stories of successful innovation projects, this book helps the reader understand how to leverage innovation to help fulfill the promise of healthcare information technology in enabling superior business and clinical outcomes. |
| athena emr training: The DNP Professional Linda Benson, 2024-06-01 The DNP Professional: Translating Value from Classroom to Practice is a collection of exemplars from DNP (Doctor of Nursing Practice) -prepared experts across various advanced practice nursing roles and settings. The content illustrates the application of the American Association of Colleges of Nursing’s “Essentials,” quantifies successful DNP-prepared practitioner outcomes, and describes the overall impact of the nursing practice doctorate. Each chapter is written by a different expert and focuses on how the Essentials relate to that author’s role, including business planning, evidence-driven decision making, data analytics, and interprofessional collaboration. These leaders demonstrate how to implement lessons learned in a DNP program and translate them into everyday practice in every nursing domain, with plenty of pearls to pass along. Editor Linda A. Benson has divided the book into sections based on roles and settings: • Nurse Practitioner • Clinical Nurse Specialist • Certified Registered Nurse Anesthetists • Nurse Midwife • Nurse Executive • Academia • Population Health • Informatics • Legislative Activity When performing at their peak, DNPs can affect clinical, satisfaction, and cost outcomes, as well as provide preceptorship and mentoring. With exemplars from across the continuum of practice sites and roles, The DNP Professional: Translating Value from Classroom to Practice enables both students and DNP graduates to optimize the curricular Essentials in the practice setting. |
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| athena emr training: Trino: The Definitive Guide Matt Fuller, Manfred Moser, Martin Traverso, 2021-04-14 Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. With this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's Hive, Cassandra, a relational database, or a proprietary data store. Analysts, software engineers, and production engineers will learn how to manage, use, and even develop with Trino. Initially developed by Facebook, open source Trino is now used by Netflix, Airbnb, LinkedIn, Twitter, Uber, and many other companies. Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. Get started: Explore Trino's use cases and learn about tools that will help you connect to Trino and query data Go deeper: Learn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and more Put Trino in production: Secure Trino, monitor workloads, tune queries, and connect more applications; learn how other organizations apply Trino |
| athena emr training: The Washington Manual of Outpatient Internal Medicine Maureen Lyons, Peter McDonnell, Jennifer Schmidt, 2022-02-08 Focusing on the essential information you need to know for the most commonly encountered problems in outpatient internal medicine, this practical volume in the Washington Manual® series provides concise, high-yield content that reflects today’s advances in patient evaluation and management. In one convenient, portable resource, you’ll find complete coverage of everything from hypertension and diabetes to sleep disorders, nutrition, and care of the cancer patient—all at your fingertips for quick review and reference. Edited by Drs. Maureen D. Lyons, Peter J. McDonnell, and Jennifer M. Schmidt, The Washington Manual® of Outpatient Internal Medicine, 3rd Edition, is an excellent companion to the Washington Manual® of Medical Therapeutics, which thoroughly covers inpatient care. |
| athena emr training: Avatar-Based Models, Tools, and Innovation in the Digital Economy Mkrttchian, Vardan, Gamidullaeva, Leyla, Aleshina, Ekaterina, 2019-11-22 Fierce competition in today's global market offers a powerful motivation for developing even more sophisticated and multi-functional technology tools. Implementing these specific techniques and strategies benefits global economics and contributes to the harmonization of economic interests at the micro- and macro-levels. Avatar-Based Models, Tools, and Innovation in the Digital Economy is an essential reference source that provides a critical analysis of avatar-based models, tools, and neuro natural platforms and features developments in terms of the application of these theories and methodologies to the communication and socio-economic sphere. Featuring research on topics such as digital communications, economic development, and consumer management, this book is ideally designed for students, researchers, industry professionals, and academicians seeking coverage on combining the use of intelligence artificial and natural approaches to a variety of communication technologies. |
| athena emr training: Morbidity and Mortality Weekly Report , 2005 |
| athena emr training: Healthcare Cybersecurity W. Andrew H. Gantt, III, 2021-09-07 This book pinpoints current and impending threats to the healthcare industry's data security. |
| athena emr training: AWS Certified Solutions Architect - Associate (SAA-C01) Cert Guide Anthony Sequeira, 2019-01-04 This is the eBook version of the print title. Note that the eBook does not provide access to the practice test software that accompanies the print book. Learn, prepare, and practice for AWS Certified Solutions Architect - Associate (SAA-C01) exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. Master AWS Certified Solutions Architect - Associate (SAA-C01) exam topics Assess your knowledge with chapter-ending quizzes Review key concepts with exam preparation tasks AWS Certified Solutions Architect - Associate (SAA-C01) Cert Guide is a best-of-breed exam study guide. Best-selling author and expert instructor Anthony Sequeira shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test-preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will enable you to succeed on the exam the first time. The study guide helps you master all the topics on the AWS Certified Solutions Architect - Associate exam, including how to · Design resilient architectures that ensure storage high availability while providing for decoupling mechanisms, multitier infrastructure, and high availability · Define performant architectures with efficient storage and databases, caching optimizations, and improved elasticity · Specify secure applications and architectures, encompassing application tiers, data, and networking infrastructure · Design cost-optimized architectures, addressing both storage and compute · Define operationally excellent architectures, and understand their characteristics |
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| athena emr training: Sexual and Gender Minority Health Brea L. Perry, Allen J. LeBlanc, 2021-01-15 This volume of Advances in Medical Sociology showcases rich theoretical and empirical contributions on SGM health and wellbeing. The chapters address a variety of topics, drawing from classic and contemporary sociological frameworks and constructs, and reflecting intersecting interdisciplinary approaches to SGM health. |
| athena emr training: DuckDB in Action Mark Needham, Michael Hunger, Michael Simons, 2024-09-10 Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse. DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you’ll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you’ll learn everything you need to get the most out of DuckDB—all through hands-on examples. Open up DuckDB in Action and learn how to: • Read and process data from CSV, JSON and Parquet sources both locally and remote • Write analytical SQL queries, including aggregations, common table expressions, window functions, special types of joins, and pivot tables • Use DuckDB from Python, both with SQL and its Relational-API, interacting with databases but also data frames • Prepare, ingest and query large datasets • Build cloud data pipelines • Extend DuckDB with custom functionality Pragmatic and comprehensive, DuckDB in Action introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won’t need to read through pages of documentation—you’ll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines. About the technology DuckDB makes data analytics fast and fun! You don’t need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. About the book DuckDB in Action guides you example-by-example from setup, through your first SQL query, to advanced topics like building data pipelines and embedding DuckDB as a local data store for a Streamlit web app. You’ll explore DuckDB’s handy SQL extensions, get to grips with aggregation, analysis, and data without persistence, and use Python to customize DuckDB. A hands-on project accompanies each new topic, so you can see DuckDB in action. What's inside • Prepare, ingest and query large datasets • Build cloud data pipelines • Extend DuckDB with custom functionality • Fast-paced SQL recap: From simple queries to advanced analytics About the reader For data pros comfortable with Python and CLI tools. About the author Mark Needham is a blogger and video creator at @?LearnDataWithMark. Michael Hunger leads product innovation for the Neo4j graph database. Michael Simons is a Java Champion, author, and Engineer at Neo4j. |
| athena emr training: AWS Certified Data Analytics Study Guide with Online Labs Asif Abbasi, 2021-04-13 Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book. |
| athena emr training: Computational Technology for Effective Health Care National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Engaging the Computer Science Research Community in Health Care Informatics, 2009-02-24 Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm. |
| athena emr training: Process Mining in Healthcare Ronny S. Mans, Wil M. P. van der Aalst, Rob J. B. Vanwersch, 2015-03-12 What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis. |
| athena emr training: Data Science on AWS Chris Fregly, Antje Barth, 2021-04-07 With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more |
| athena emr training: The Synonym Finder J. I. Rodale, 2016-04-22 Originally published in 1961 by the founder of Rodale Inc., The Synonym Finder continues to be a practical reference tool for every home and office. This thesaurus contains more than 1 million synonyms, arranged alphabetically, with separate subdivisions for the different parts of speech and meanings of the same word. |
| athena emr training: Health Protection Samuel Ghebrehewet, Alex G. Stewart, 2016 Health Protection: Principles and practice is a practical guide for practitioners working at all levels in public health and health protection, including those with a non-specialist background. It is the first textbook in health protection to address all three domains within the field (communicable disease control; emergency preparedness, resilience and response (EPRR); and environmental public health) in a comprehensive and integrated manner. Written by leading practitioners in the field, the book is rooted in a practice-led, all-hazards approach, which allows for easy real-world application of the topics discussed. The chapters are arranged in six sections, which begin with an in-depth introduction to the principles of health protection and go on to illuminate the three key elements of the field by providing: case studies and scenarios to describe common and important issues in the practice of health protection; health protection tools, which span epidemiology and statistics, infection control, immunisation, disease surveillance, and audit and service improvement; and evidence about new and emerging health protection issues. It includes more than 100 health protection checklists (SIMCARDs), covering infections from anthrax to yellow fever, non-infectious diseases emergencies and environmental hazards. Written from first-hand experience of managing communicable diseases these provide practical, stand-alone quick reference guides for in-practice use. Both the topical content of Health Protection: Principles and practice, and the clearly described health protection principles the book provides, makes it a highly relevant resource for wider public health and health protection professionals in this continually evolving field. |
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Long Island | Page 2 - AMP Reviews
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Duncannon - AMP Reviews
May 13, 2023 · As far as Athena goes, if you check another forum that has archived reports, you will see that years ago this place had a reputation on par with a lot of the better spots in …
Bianca’s lineup - AMP Reviews
Jan 14, 2025 · Athena looks like the type that will rush you out and give you mediocre service lol . Likes: Leondom and ...
Donna from Athena Spa - AMP Reviews
Jan 29, 2019 · Athena is the spa with a big tree inside? I went there couple times and they were closed. I do like the ...
AMP Reviews
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San Mateo - AMP Reviews
Jun 4, 2023 · You asked and we delivered! AMPReviews now provides the option to upgrade to VIP access via paid subscription as an alternative to writing your own reviews.
Long Island | Page 2 - AMP Reviews
Jun 3, 2025 · You asked and we delivered! AMPReviews now provides the option to upgrade to VIP access via paid subscription as an alternative to writing your own reviews.
