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Health Informatics on FHIR: How HL7's New API is Transforming Healthcare
by Mark L. BraunsteinThis textbook begins with an introduction to the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome those problems. It goes on to discuss health informatics from an historical perspective, its current state and its likely future state now that electronic health record systems are widely deployed, the HL7 Fast Healthcare Interoperability standard is being rapidly accepted as the means to access the data stored in those systems and analytics is increasing being used to gain new knowledge from that aggregated clinical data. It then turns to some of the important and evolving areas of informatics including population and public health, mHealth and big data and analytics. Use cases and case studies are used in all of these discussions to help readers connect the technologies to real world challenges. Effective use of informatics systems and tools by providers and their patients is key to improving the quality, safety and cost of healthcare. With health records now digital, no effective means has existed for sharing them with patients, among the multiple providers who may care for them and for important secondary uses such as public/population health and research. This problem is a topic of congressional discussion and is addressed by the 21st Century Cures Act of 2016 that mandates that electronic health record (EHR) systems offer a patient-facing API. HL7’s Fast Healthcare Interoperability Resources (FHIR) is that API and this is the first comprehensive treatment of the technology and the many ways it is already being used. FHIR is based on web technologies and is thus a far more facile, easy to implement approach that is rapidly gaining acceptance. It is also the basis for a ‘universal health app platform’ that literally has the potential to foster innovation around the data in patient records similar to the app ecosystems smartphones created around the data they store. FHIR app stores have already been opened by Epic and Cerner, the two largest enterprise EHR vendors. Provider facing apps are already being explored to improve EHR usability and support personalized medicine. Medicare and the Veteran’s Administration have announced FHIR app platforms for their patients. Apple’s new IOS 11.3 features the ability for consumers to aggregate their health records on their iPhone using FHIR. Health insurance companies are exploring applications of FHIR to improve service and communication with their providers and patients. SureScripts, the national e-Prescribing network, is using FHIR to help doctors know if their patients are complying with prescriptions. This textbook is for introductory health informatics courses for computer science and health sciences students (e.g. doctors, nurses, PhDs), the current health informatics community, IT professionals interested in learning about the field and practicing healthcare providers. Though this textbook covers an important new technology, it is accessible to non-technical readers including healthcare providers, their patients or anyone interested in the use of healthcare data for improved care, public/population health or research.
Health Informatics: A Computational Perspective in Healthcare (Studies in Computational Intelligence #932)
by Ripon Patgiri Anupam Biswas Pinki RoyThis book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.
Health Informatics: Multidisciplinary Approaches for Current and Future Professionals (HIMSS Book Series)
by Salvatore Volpe"True wellness innovation requires the recruitment of multi-disciplinary participants. This book breaks the mold with examples from healthcare experts and other professionals who have leveraged informatics to better the lives of their constituents." — Jason Helgerson, Founder & CEO, Helgerson Solutions Group LLC Developed for those training in academic centers as well as for those already "out in the field," this book looks at how attorneys, behavioral health experts, business development experts, chief information officers, chief medical officers, chief nursing information officers, consumer advocates, cryptographic experts, futurists, geneticists, informaticists, managed care executives, nurses, pharmacists, physicians, public health professionals, software developers, systems security officers, and workforce experts are collaborating on a "team-based," IT-enabled approach to improve healthcare.
Health Information Management Case Studies
by Dianna M. FoleyThe contents of the Health Information Management Case Studies include: Domain I Data Content, Structure, and Standards (Information Governance); Domain II Information Protection: Access, Disclosure, Archival, Privacy and Security; Domain III--Informatics, Analytics, and Data Use; Domain IV--Revenue Management;Domain V--Compliance; and Domain VI--Leadership.
Health Information Management Technology An Applied Approach 5th Edition
by Leslie L. Gordon Nanette B. SaylesCreates a blueprint for success in the health information management (HIM) field. Chapter content is expanded in the fifth edition to prepare students for transitional and changing roles in an electronic health information environment. All chapters are updated to reflect current HIM trends, practices, standards, and legal issues. Written by distinguished leaders in the field, this book guides students through two-year academic programs in preparation for the Registered Health Information Technician (RHIT) certification exam and beyond
Health Information Processing. Evaluation Track Papers: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings (Communications in Computer and Information Science #2458)
by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Jianbo Lei Zuofeng Li Hui Zong Zhengxing HuangThis book constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, November 15–17, 2024.The CHIP 2024 Evaluation Track proceedings include 19 full papers which were carefully reviewed and grouped into these topical sections: syndrome differentiation thought in Traditional Chinese Medicine; lymphoma information extraction and automatic coding; and typical case diagnosis consistency.
Health Information Processing. Evaluation Track Papers: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers (Communications in Computer and Information Science #1773)
by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Yanshan Wang Haitian Wang Jianbo Lei Zuofeng Li Hui ZongThis 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.
Health Information Processing. Evaluation Track Papers: 9th China Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings (Communications in Computer and Information Science #2080)
by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Jianbo Lei Zuofeng Li Hui Zong Hua Xu Zhengxing HuangThis book constitutes the refereed proceedings of the evaluation track of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 15 algorithms papers and 6 overview papers included in this book were carefully reviewed and selected from a total of 66 submissions to the conference. They were organized in topical sections as follows: CHIP-PromptCBLUE Medical Large Model Evaluation; Chinese Medical Text Few-shot Named Entity Recognition; Drug Paper Document Recognition and Entity Relation Extraction; CHIP-YIER Medical Large Model Evaluation; Medical Literature PICOS Identification; Chinese Diabetes Question Classification;
Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings, Part I (Communications in Computer and Information Science #2432)
by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Zhengxing HuangThis two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15–17, 2024. The 32 full papers included in this set were carefully reviewed and selected from 65 submissions. They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map.
Health Information Processing: 10th China Health Information Processing Conference, CHIP 2024, Fuzhou, China, November 15–17, 2024, Proceedings, Part II (Communications in Computer and Information Science #2433)
by Lei Liu Yanchun Zhang Hongfei Lin Tianyong Hao Xiangwen Liao Buzhou Tang Qingcai Chen Zhengxing HuangThis two-volume set CCIS 2432-2433 constitutes the refereed proceedings of the 10th China Health Information Processing Conference, CHIP 2024, held in Fuzhou, China, during November 15–17, 2024. The 32 full papers included in this set were carefully reviewed and selected from 65 submissions. They are organized in topical sections as follows: biomedical data processing and model application; mental health and disease prediction; and drug prediction and knowledge map.
Health Information Processing: 8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers (Communications in Computer and Information Science #1772)
by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Yanshan Wang Haitian WangThis book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 26–28, 2022.The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications
Health Information Processing: 9th China Health Information Processing Conference, CHIP 2023, Hangzhou, China, October 27–29, 2023, Proceedings (Communications in Computer and Information Science #1993)
by Lei Liu Fei Wu Hongfei Lin Tianyong Hao Buzhou Tang Qingcai Chen Hua Xu Zhengxing HuangThis book constitutes the refereed proceedings of the 9th China Health Information Processing Conference, CHIP 2023, held in Hangzhou, China, during October 27–29, 2023. The 27 full papers included in this book were carefully reviewed and selected from 66 submissions. They were organized in topical sections as follows: healthcare information extraction; healthcare natural language processing; healthcare data mining and applications.
Health Information Science: 10th International Conference, HIS 2021, Melbourne, VIC, Australia, October 25–28, 2021, Proceedings (Lecture Notes in Computer Science #13079)
by Hua Wang Siuly Siuly Chunxiao Xing Lu Chen Yanhui GuoThis book constitutes the proceedings of the 10th International Conference on Health Information Science, HIS 2021, which took place in Melbourne, Australia, in October 2021.The 16 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 56 submissions. They are organized in topical sections named: COVID-19, EEG data processing, Medical Data Analysis, Medical Record Mining (I), Medical Data Mining (II), Medical Data Processing.
Health Information Science: 11th International Conference, HIS 2022, Virtual Event, October 28–30, 2022, Proceedings (Lecture Notes in Computer Science #13705)
by Hua Wang Yong Zhang Siuly Siuly Rui Zhou Lu Chen Agma TrainaThis book constitutes the refereed proceedings of the 11th International Conference onHealth Information Science, HIS 2022, held in Virtual Event during October 28–30, 2022.The 20 full papers and 9 short papers included in this book were carefully reviewed andselected from 54 submissions. They were organized in topical sections as follows: applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.
Health Information Science: 12th International Conference, HIS 2023, Melbourne, VIC, Australia, October 23–24, 2023, Proceedings (Lecture Notes in Computer Science #14305)
by Yan Li Rui Zhou Lu Chen Zhisheng Huang Manik SharmaThis book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023.The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.
Health Information Science: 13th International Conference, HIS 2024, Hong Kong, China, December 8–10, 2024, Proceedings (Lecture Notes in Computer Science #15336)
by Xiaofan Li Siuly Siuly Rui Zhou Chunxiao XingThis book LNCS 15336 constitutes the refereed proceedings of the 13th International Conference on Health Information Science, HIS 2024, held in Hong Kong, China, during December 8-10, 2024. The 18 full papers and 11 short papers were carefully reviewed and selected from 59 submissions. The scope of the conference includes: (1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; (2) data management, data mining, and knowledge discovery, all of which play a key role in decision-making, management of public health, examination of standards, privacy and security issues; (3) computer visualization and artificial intelligence for computer-aided diagnosis; (4) development of new architectures and applications for health information systems.
Health Information Science: 5th International Conference, HIS 2016, Shanghai, China, November 5-7, 2016, Proceedings (Lecture Notes in Computer Science #10038)
by Xiaoxia Yin, James Geller, Ye Li, Rui Zhou, Hua Wang and Yanchun ZhangThis book constitutes the refereed proceedings of the 5th International Conference on Health Information Science, HIS 2016, held in Shanghai, China, in November 2016. The 13 full papers and 9 short papers presented were carefully reviewed and selected from numerous submissions. The scope of the papers includes medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer aided diagnosis; development of new architectures and applications for health information systems.
Health Information Science: 6th International Conference, HIS 2017, Moscow, Russia, October 7-9, 2017, Proceedings (Lecture Notes in Computer Science #10594)
by Siuly Siuly, Zhisheng Huang, Uwe Aickelin, Rui Zhou, Hua Wang, Yanchun Zhang and Stanislav KlimenkoThis book constitutes the refereed proceedings of the 6th International Conference on Health Information Science, HIS 2017, held in Moscow, Russia, in October 2017.The 11 full papers and 7 short papers presented were carefully reviewed and selected from 44 submissions. The papers feature multidisciplinary research results in health information science and systems that support health information management and health service delivery. They relate to all aspects of the conference scope, such as medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; data management, data mining, and knowledge discovery, management of publichealth, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer aided diagnosis; development of new architectures and applications for health information systems.
Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings (Lecture Notes in Computer Science #11837)
by Yanchun Zhang Hua Wang Siuly Siuly Rui Zhou Zhisheng Huang Fernando Martin-SanchezThis book constitutes the refereed proceedings of the 8th International Conference on Health Information Science, HIS 2019, held in Xi’an, China, in October 2019. The 14 full papers and 14 short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections named: Medical Information System and Platform; Mining Medical Data; EEG and ECG; Medical Image; Mental Health; and Healthcare.
Health Information Science: 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings (Lecture Notes in Computer Science #12435)
by Yanchun Zhang Hua Wang Siuly Siuly Rui Zhou Zhisheng HuangThis book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which took place in Amsterdam, The Netherlands, during October 20-23, 2020. The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.
Health Literacy and Consumer-Facing Technology: Workshop Summary
by Joe AlperThe proliferation of consumer-facing technology and personal health information technology has grown steadily over the past decade, and has certainly exploded over the past several years. Many people have embraced smartphones and wearable health-monitoring devices to track their fitness and personal health information. Providers have made it easier for patients and caregivers to access health records and communicate through online patient portals. However, the large volume of health-related information that these devices can generate and input into a health record can also lead to an increased amount of confusion on the part of users and caregivers. The Institute of Medicine convened a workshop to explore health literate practices in health information technology and then provide and consider the ramifications of this rapidly growing field on the health literacy of users. Health Literacy and Consumer-Facing Technology summarizes the discussions and presentations from this workshop, highlighting the lessons presented, practical strategies, and the needs and opportunities for improving health literacy in consumer-facing technology.
Health Monitoring and Personalized Feedback using Multimedia Data
by Alexia Briassouli Jenny Benois-Pineau Alexander HauptmannThis book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at home. With sophisticated technologies in monitoring, diagnosis, and treatment, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical engineering, medical informatics, physical education and motor control, visual learning, nursing and human sciences, information retrieval, content based image retrieval, eHealth, information fusion, multimedia communications and human computer interaction come together to provide a thorough overview of multimedia analysis in medicine and daily life.
Health Web Science
by Kerstin DeneckeThis book introduces the field of Health Web Science and presents methods for information gathering from written social media data. It explores the availability and utility of the personal medical information shared on social media platforms and determines ways to apply this largely untapped information source to healthcare systems and public health monitoring. Introducing an innovative concept for integrating social media data with clinical data, it addresses the crucial aspect of combining experiential data from social media with clinical evidence, and explores how the variety of available social media content can be analyzed and implemented. The book tackles a range of topics including social media's role in healthcare, the gathering of shared information, and the integration of clinical and social media data. Application examples of social media for health monitoring, along with its usage in patient treatment are also provided. The book also considers the ethical and legal issues of gathering and utilizing social media data, along with the risks and challenges that must be considered when integrating social media data into healthcare choices. With an increased interest internationally in E-Health, Health 2. 0, Medicine 2. 0 and the recent birth of the discipline of Web Science, this book will be a valuable resource for researchers and practitioners investigating this emerging topic.
Health and Social Care Systems of the Future: Proceedings of the Healthcare Ergonomics and Patient Safety, HEPS, 3-5 July, 2019 Lisbon, Portugal (Advances in Intelligent Systems and Computing #1012)
by Riccardo Tartaglia Sara Albolino Teresa Patrone Cotrim Florentino Serranheira Paulo Sousa Sue HignettThis book discusses how digital technology and demographic changes are transforming the patient experience, services, provision, and planning of health and social care. It presents innovative ergonomics research and human factors approaches to improving safety, working conditions and quality of life for both patients and healthcare workers. Personalized medicine, mobile and wearable technologies, and the greater availability of health data are discussed, together with challenges and evidence-based practice. Based on the Healthcare Ergonomics and Patient Safety conference, HEPS2019, held on July 3-5, 2019, in Lisbon, Portugal, this book offers a timely resource for graduate students and researchers, as well as for healthcare professionals managing service provision, planners and designers for healthcare buildings and environments, and international healthcare organizations.
Health and Wellness Measurement Approaches for Mobile Healthcare (SpringerBriefs in Applied Sciences and Technology)
by Gita Khalili Moghaddam Christopher R. LoweThis book reviews existing sensor technologies that are now being coupled with computational intelligence for the remote monitoring of physical activity and ex vivo biosignatures. In today’s frenetic world, consumers are becoming ever more demanding: they want to control every aspect of their lives and look for options specifically tailored to their individual needs. In many cases, suppliers are catering to these new demands; as a result, clothing, food, social media, fitness and banking services are all being democratised to the individual. Healthcare provision has finally caught up to this trend and is currently being rebooted to offer personalised solutions, while simultaneously creating a more effective, scalable and cost-effective system for all. The desire for personalisation, home monitoring and treatment, and provision of care in remote locations or in emerging and impoverished nations that lack a fixed infrastructure, is leading to the realisation that mobile technology might be the best candidate for achieving these goals. A combination of several technological, healthcare and financial factors are driving this trend to create a new healthcare model that stresses preventative ‘health-care’ rather than ‘sick-care’, and a shift from volume to value. Mobile healthcare (mhealth), which could also be termed the “internet of people”, refers to the integration of sensors and smartphones to gather and interpret clinical data from patients in real-time. Most importantly, with an ageing population suffering multiple morbidities, mhealth could provide healthcare solutions to enhance chronically ill patients’ quality of life.