This book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022. The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.

This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.

This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021. The conference was originally planned to take place in Bornholm, Denmark, but changed to a virtual format due to the COVID-19 pandemic. The 59 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows: registration; causal models and interpretability; generative modelling; shape; brain connectivity; representation learning; segmentation; sequential modelling; learning with few or low quality labels; uncertainty quantification and generative modelling; and deep learning.

This book constitutes the refereed proceedings of the 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011, held at Kloster Irsee, Germany, in July 2011. The 24 full papers and 39 poster papers included in this volume were carefully reviewed and selected from 224 submissions. The papers are organized in topical sections on segmentation, statistical methods, shape analysis, registration, diffusion imaging, disease progression modeling, and computer aided diagnosis. The poster sessions deal with segmentation, shape analysis, statistical methods, image reconstruction, microscopic image analysis, computer aided diagnosis, diffusion imaging, functional brain analysis, registration and other related topics.

Foundations of Health Information Management, 4th Edition is an absolute must for any student beginning a career in HIM. Balancing comprehensive coverage with an engaging, easy-to-understand tone, this text focuses on healthcare delivery systems, electronic health records, and the processing, maintenance, and analysis of health information to present a realistic and practical view of technology and trends in healthcare. It prepares you for the role of a Registered Health Information Technician who not only files and keeps accurate records, but serves as a healthcare analyst who translates data into useful, quality information that can control costs and further research. With new SimChart and SimChart for the Medical Office samples, the new 2014 AHIMA outcome-based competencies, and more exercises, this fourth edition puts you in a position to succeed on the RHIT certification exam. Clear writing style and easy reading level makes reading and studying more time-efficient, and is ideal for two-year associate degree HIM programs and career schools. Chapter learning objectives are tied to the American Health Information Management Association's (AHIMA) HIM domains and subdomains to allow instructors to teach to the credentialing exam — and prepare you for the exam. Separate legal chapter covers HIPAA privacy regulations and emphasizes the importance of HIPAA compliance in today’s healthcare system. Statistics chapter gives new students a foundation for learning. Four-color design and illustrations make content more appealing and easier to learn. Exercises at the end of every main section in each chapter encourage you to review and apply key concepts. Career Tip and Professional Profile boxes give you a broader view of the field and show you the many career options you have upon graduation and certification. Chapter summaries and reviews allow for easy review of each chapter’s main concepts. Robust appendices, including sample paper records, electronic documentation, and demonstration of Microsoft Excel, equip you with all the extras you need to enter the HIM world. NEW! Content mapped to 2014 AHIMA CEE competencies and domains so you can prepare for the current health information environment and the RHIT exam. NEW! SimChart and SimChart for the Medical Office samples feature screenshots from EHRs to demonstrate electronic medical records in use. NEW! More exercises give you additional opportunities to practice your knowledge of material. NEW! AHIMA competency mapping included in the front of book to provide instructors and students with instant access to the AHIMA domains and competencies needed to prepare for the RHIT exam. NEW! Classroom handouts can be used in the classroom or as homework, and include a variety of exercises.

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.