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Optum Learning
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Book Synopsis Optum Learning: Understanding Modifiers by : Optum
Download or read book Optum Learning: Understanding Modifiers written by Optum and published by . This book was released on 2013-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optum Learning: Understanding Modifiers uses actual medical records to outline in detail how to document services and apply the correct modifiers. The book was developed as an educational tool for physicians and their staff, as well as billers and coders of hospital outpatient services and ASC services. Features and benefits Optum Edge-Includes all AMA CPTr Modifier Updates Optum Edge-Educational format. Easy-to-use format for every experience level, for use in the classroom or on the job. Optum Edge-World Wide Web resources. Supplies all of the up- to-date links a coder needs to find accurate modifier information online. Optum Edge-Decision tree flow charts. Coder learn how to choose the correct modifier when more than one could apply. Optum Edge-Real-life clinical examples. Use to reduce claim denials by supplying correctly used modifiers and completed CMS- 1500 forms. 2014 changes to modifiers and their guidelines included.
Book Synopsis Optum Learning: Understanding Modifiers by : Ingenix
Download or read book Optum Learning: Understanding Modifiers written by Ingenix and published by Ingenix. This book was released on 2012-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optum Learning written by and published by Optuminsight. This book was released on 2019-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optum Learning: Medical Billing Basics 2013 by : Ingenix
Download or read book Optum Learning: Medical Billing Basics 2013 written by Ingenix and published by . This book was released on 2012-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis ATD's Handbook for Talent Development and Training in Healthcare by : Jacqueline Burandt
Download or read book ATD's Handbook for Talent Development and Training in Healthcare written by Jacqueline Burandt and published by Association for Talent Development. This book was released on 2021-11-16 with total page 945 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your Guide for Success in Talent Development and Healthcare Within every corner of a healthcare system reside talent development and training initiatives and thus the need for talent development (TD) professionals and expertise. The ATD Talent Development and Training in Healthcare Handbook addresses the many opportunities and complex TD professionals face in the growing and rapidly changing healthcare space. Effective talent development is the thread that weaves through an entire healthcare organization to ensure it is up to standard with latest practices in treating patients while providing a safe and engaging environment for staff. Whether you are new to the field, a clinician new TD, or a seasoned TD professional in need of solutions and best practices, you can turn to this evergreen resource whenever you need tried-and-true advice. TD professionals have the unique role of tying together organizational and employee advancement in healthcare systems—and likewise, this handbook dives into areas for both business and professional evolution. It covers six key themes across 26 chapters: Learning and Development Basics Organizational Development Employee Development Business Acumen for the Health System Digital Transformation and Literacy Patient-Centric Care Written by 25 fellow healthcare practitioners with extensive experience in the field—from nurses, physicians, and administrators to instructional designers, chief learning officers, technology experts, and leaders across the industry—this book will help you maximize the impact of your work and improve your abilities to deliver the best care possible to your patients.
Book Synopsis Optum Learning by : OptumInsight (Firm)
Download or read book Optum Learning written by OptumInsight (Firm) and published by Optuminsight. This book was released on 2013-05-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Coding with Modifiers by : Robin L. Linker
Download or read book Coding with Modifiers written by Robin L. Linker and published by American Medical Association Press. This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Coding with Modifiers, 6th Ed, is the ultimate resource for modifier guidelines. This revised edition provides guidance on how and when to use modifiers in order to avoid costly payment delays and denials. Coding with Modifiers uses real-life modifier scenarios and medical records to guide correct CPT® and HCPCS modifier usage. Modifiers create clear, concise communications between the provider and payer, and are essential to the coding process. Clinical documentation improvement and other pertinent considerations highlight important clinical documentation improvements for each modifier and related best practices to ensure correct modifier usage. Provides guidelines from CPT, CMS, third-party payers, and NCCI to explain how and when to use modifiers to avoid payment delays and denials"--
Book Synopsis Optum Learning: Medical Billing Basics 2014 by : Optum
Download or read book Optum Learning: Medical Billing Basics 2014 written by Optum and published by . This book was released on 2013-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optum Learning: Medical Billing Basics offers comprehensive, entry-level education for beginning coders and billers in the office or classroom. This book is designed to allow the user to understand and master the basic skills needed to be an effective coder or biller. Features and benefits Optum Edge-Complete foundation for coding and billing. Gives a broad overview of coding, payers, and the reimbursement process for the entry level coder or billing professional. Optum Edge-Simple coding scenarios. Simple coding scenarios turn the abstract world of medical reimbursement into real case studies. Optum Edge-Understandable coding basics. Helps users learn basic physician and hospital coding and billing. Updated code sets. Includes the latest CPTr, HCPCS Level II, and ICD-9-CM codes. Insurance and payer background. Takes the confusion out of the alphabet soup of different types of insurance and payers. Effective supportive material. Illustrations and coding scenarios ease understanding and put information into context. Developed by coding educators. This educational resource is designed to help offices grow and their staff prepare for certification and accreditation.
Author : Publisher :Cengage Learning ISBN 13 :0357764285 Total Pages :700 pages Book Rating :4.3/5 (577 download)
Download or read book written by and published by Cengage Learning. This book was released on with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistics and Machine Learning Methods for EHR Data by : Hulin Wu
Download or read book Statistics and Machine Learning Methods for EHR Data written by Hulin Wu and published by CRC Press. This book was released on 2020-12-10 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data. Key Features: Written based on hands-on experience of contributors from multidisciplinary EHR research projects, which include methods and approaches from statistics, computing, informatics, data science and clinical/epidemiological domains. Documents the detailed experience on EHR data extraction, cleaning and preparation Provides a broad view of statistical approaches and machine learning prediction models to deal with the challenges and limitations of EHR data. Considers the complete cycle of EHR data analysis. The use of EHR/EMR analysis requires close collaborations between statisticians, informaticians, data scientists and clinical/epidemiological investigators. This book reflects that multidisciplinary perspective.
Book Synopsis E&M Coding Clear & Simple by : Terri Ann Brame
Download or read book E&M Coding Clear & Simple written by Terri Ann Brame and published by F.A. Davis. This book was released on 2013-09-16 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-read text breaks these complex codes into manageable, bite-sized pieces. Practice questions and real-world case studies help you apply your knowledge and approach any coding situation with confidence.
Download or read book Optum Learning written by and published by Optum 360. This book was released on 2018-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Modifiers uses actual medical records to outline in detail how to document services and apply the correct modifiers. This book was developed as an educational tool for physicians and their staff, as well as billers and coders of hospital outpatient services and ASC services.
Download or read book Optum Learning written by and published by Optum 360. This book was released on 2017-11-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Modifiers uses actual medical records to outline in detail how to document services and apply the correct modifiers. This book was developed as an educational tool for physicians and their staff, as well as billers and coders of hospital outpatient services and ASC services.
Book Synopsis Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by : Gyorgy J. Simon
Download or read book Artificial Intelligence and Machine Learning in Health Care and Medical Sciences written by Gyorgy J. Simon and published by Springer Nature. This book was released on with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Big Data-Enabled Nursing by : Connie W. Delaney
Download or read book Big Data-Enabled Nursing written by Connie W. Delaney and published by Springer. This book was released on 2017-11-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.
Book Synopsis Hands-On Transfer Learning with Python by : Dipanjan Sarkar
Download or read book Hands-On Transfer Learning with Python written by Dipanjan Sarkar and published by Packt Publishing Ltd. This book was released on 2018-08-31 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning principles in Python implement transfer learning to solve real-world research problems Perform complex operations such as image captioning neural style transfer Book Description Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. What you will learn Set up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL models Explore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functions Get to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLP Who this book is for Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
Book Synopsis CPT 2021 Professional Edition by : American Medical Association
Download or read book CPT 2021 Professional Edition written by American Medical Association and published by . This book was released on 2020-09-17 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: CPT® 2021 Professional Edition is the definitive AMA-authored resource to help health care professionals correctly report and bill medical procedures and services. Providers want accurate reimbursement. Payers want efficient claims processing. Since the CPT® code set is a dynamic, everchanging standard, an outdated codebook does not suffice. Correct reporting and billing of medical procedures and services begins with CPT® 2021 Professional Edition. Only the AMA, with the help of physicians and other experts in the health care community, creates and maintains the CPT code set. No other publisher can claim that. No other codebook can provide the official guidelines to code medical services and procedures properly. FEATURES AND BENEFITS The CPT® 2021 Professional Edition codebook covers hundreds of code, guideline and text changes and features: CPT® Changes, CPT® Assistant, and Clinical Examples in Radiology citations -- provides cross-referenced information in popular AMA resources that can enhance your understanding of the CPT code set E/M 2021 code changes - gives guidelines on the updated codes for office or other outpatient and prolonged services section incorporated A comprehensive index -- aids you in locating codes related to a specific procedure, service, anatomic site, condition, synonym, eponym or abbreviation to allow for a clearer, quicker search Anatomical and procedural illustrations -- help improve coding accuracy and understanding of the anatomy and procedures being discussed Coding tips throughout each section -- improve your understanding of the nuances of the code set Enhanced codebook table of contents -- allows users to perform a quick search of the codebook's entire content without being in a specific section Section-specific table of contents -- provides users with a tool to navigate more effectively through each section's codes Summary of additions, deletions and revisions -- provides a quick reference to 2020 changes without having to refer to previous editions Multiple appendices -- offer quick reference to additional information and resources that cover such topics as modifiers, clinical examples, add-on codes, vascular families, multianalyte assays and telemedicine services Comprehensive E/M code selection tables -- aid physicians and coders in assigning the most appropriate evaluation and management codes Adhesive section tabs -- allow you to flag those sections and pages most relevant to your work More full color procedural illustrations Notes pages at the end of every code set section and subsection
