Medicinsk informatik og sundhedsfaglig informatik

Artificial intelligence (AI) is a simulation of the process of human intelligence through computers.AI has cemented its status as a powerful technology with the ability to propel a paradigm shift in healthcare and medicine of the 21st century and the future. The insights and values gained from AI and its subset, machine learning, are essential for predicting health outcomes and improving decision-making in healthcare and medicine.AI can offer revolutionary insights into medicine, through data from genetics, proteomics and other life sciences that advance the process of drug discovery and development. Discovering drugs is a crucial first step in the biopharmaceutical value chain. Drug discovery is a long, expensive and often unsuccessful process. The biopharmaceutical industry makes efforts to employ AI to improve drug discovery, reduce research and development costs, reduce the time and cost of early drug discovery, and support predicting potential risks/side effects in late clinical trials that can be useful in avoiding traumatic events in clinical trials.The rapid growth in life sciences and machine learning algorithms has led to enormous statistical access to the growth of AI-based start-ups focused on drug innovation in recent years. The growing need to curb drug discovery costs and reduce time involved in the drug development process, the rising adoption of cloud-based applications and services, and the impending patent expiry of blockbuster drugs are some of the key factors driving the growth of this market.However, shortage of AI workforce and ambiguous regulatory guidelines for medical software and lack of data sets in this field are some of the factors expected to restrain the growth of this market in the coming years.

Health informatics uses information technology to organise and analyse health data to improve healthcare outcomes. This book covers current and future applications of health informatics topics including robotics, sensing, and blockchain and discusses electronic access (and connectivity) to medical records for patients and clinicians.

Effortlessly compile your personal health history and stay organized for health appointments with this easy-to-use medical log book.Specially designed by registered nurse Katrina Mulberry, BScN, this ultimate health tracker and log book offers you a practical place to record your personal health details, your family health history, and your latest check-up results.My Health Manager¿© compiles all of your key medical information into one easy-to-use reference book. This can prevent your medical history getting lost in a physician's data system, and gives a peace of mind that comes with having a clear record of your allergies, screening results, medications, and vital signs and more.Book details:Quick Access To Your Medical Diagnoses, Allergies, Medications, Vitals, Screening Results & BeyondGreat For Recording Eye Care, Dental Care, Hearing Tests, Immunizations, Surgeries & MoreTrack Your Family's Health History For Early Diagnosis & Make Physicians Aware of Pre-Existing Conditions or Possible Drug InteractionsSuitable For Adults, Children, Seniors, Caregivers & Healthcare ProfessionalsPerfect for anyone who wants to build a comprehensive overview of their family's health, or if you want to make sure you're prepared in case of a medical emergency, the My Health Manager¿© makes it simple to give doctors, nurses & other healthcare professionals a complete overview of your medical history, so together, you can make informed choices for your long-term wellbeing.

As TikTokers, YouTubers and traditional artists continue to reimagine the video form, this book explores the value of this medium within medical practice and patient care, as well as everyday creative expression.

This title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare.

Denne bog, er drømmen om et bedre sundhedsvæsen, om et sammenhængende sundhedsvæsen.I dag har en patient mange journaler, som ikke er sammekoblet, og som ikke er tilgængelige for de fleste behandlere.Kernen i denne bog er princippet om, at en patient kun skal have en journal. Denne journal skal ligge centralt. Den må nødvendigvis være opsplittet i del-journaler, ellers drukner man i data. Disse del-journaler kan bindes sammen i patientforløb. Herved, vil alle der behandler patienten, umiddelbart vide hvilke aktive forløb patienten har. De vi altid med et enkle blik kunne se, hvor patienten er i et forløb, hvad der er fundet, hvad der er gjort, hvad der er planlagt, og ikke mindst hvad der ikke er gjort i forløb.

Anbefalinger og råd til rejsende!Hermed foreligger 2023-24-versionen af bogklassikeren Rejsemedicinsk håndbog. Bogen er opdateret efter nyeste nationale og internationale retningslinjer og udgør et grundlæggende fundament for den rejsemedicinske rådgivning i Danmark.Vejledning om rejseadfærd i områder med mangelfuldt sundhedsvæsen er lige så vigtig som vaccination, og det er ambitionen at give en skematisk fremstilling af de væsentligste sygdomme, infektionsprofylakse, rejsemedicinske råd og anbefalinger.Bogen er opdelt i to hoveddele:1. Hyppigste rejserelaterede sygdomme og tilstande/uheld2. Indeks med anbefalinger til lande i alfabetisk ordenDesuden har bogen i denne udgave fået en sproglig og designmæssig opstramning, så den fremstår aktuel og fagligt kvalificeret. Rejsemedicinsk håndbog er opdateret af lægerne Mogens Rishøj, Peter Derek Christian Leutscher og Line Buhl.

Approx.326 pages

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.

The LNCS journal Transactions on Computational Systems Biology is devoted to inter- and multidisciplinary research in the fields of computer science and life sciences and supports a paradigmatic shift in the techniques from computer and information science to cope with the new challenges arising from the systems oriented point of view of biological phenomena.This, the 13th Transactions on Computational Systems Biology volume, guest edited by Ralph-Johan Back, Ion Petre, and Erik de Vink, focuses on Computational Models for Cell Processes and features a number of carefully selected and enhanced contributions initially presented at the CompMod workshop, which took place in Eindhoven, The Netherlands, in November 2009. From different points of view and following various approaches, the papers cover a wide range of topics in systems biology, addressing the dynamics and the computational principles of this emerging field.

This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.

Unleashing the Potentials of Blockchain Technology for Healthcare Industries discusses blockchain and its adaptation in healthcare industries to provide a secured framework to safeguard healthcare data, both patient and hospital data. The book integrates key pillars of blockchain such as foundations, architecture, smart contracts, adoption, standards, service (BaaS), security, consensus algorithms, drug discovery process, among others, for fortifying the current practices in the healthcare industries. In addition, it offers solutions to the pressing issues currently being faced by the healthcare processes due to the COVD-19 pandemic. This will be a valuable resource for medical informaticians, researchers, healthcare professionals and members of the biomedical field who are interested in learning more about the potentials of blockchain in healthcare.

This book focuses on high-confidence medical software in the growing field of e-health, telecare services and health technology. It covers the development of methodologies and engineering tasks together with standards and regulations for medical software.

Readable, concise, and data-driven, Current Practice of Clinical Electroencephalography, 5th Edition, delivers a comprehensive overview of the dynamic field of EEG. Dr. Aatif M. Husain leads a team of internationally recognized authors who provide updates on established areas of clinical EEG, discuss newly evolving areas, and explain neurophysiological basis of pathology to encourage understanding rather than simply pattern recognition. Now in full color throughout, it’s a must-have resource for residents, neurologists, clinical neurophysiologists, epilepsy specialists, electroneurodiagnostic technologists and practicing electroencephalographers, as well as students, trainees, and researchers—anyone who desires to stay up to date and use EEG to its fullest potential.

PDE Modeling of Tissue Engineering and Regenerative Medicine: Computer Analysis in R presents the formulation and computer implementation of mathematical models for the forefront research areas of tissue engineering and regenerative medicine. The mathematical model discussed in this book consists of a system of eight partial differential equations (PDEs) with dependent variables. The computer-based example models are presented through routines coded in R-a quality, open-source scientific computing system that is readily available from the Internet. Formal mathematics is minimized, e.g., no theorems and proofs. Includes detailed examples that the reader can execute on modest computers.

Medical Humanities may be broadly conceptualized as a discipline wherein medicine and its specialties intersect with those of the humanities and social sciences. As such it is a hybrid area of study where the impact of disease and healing science on culture is assessed and expressed in the particular language of the disciplines concerned with the human experience. However, as much as at first sight this definition appears to be clear, it does not reflect how the interaction of medicine with the humanities has evolved to become a separate field of study. In this publication we have explored, through the analysis of a group of selected multidisciplinary essays, the dynamics of this process. The essays predominantly address the interaction of literature, philosophy, art, art history, ethics, and education with medicine and its specialties from the classical period to the present. Particular attention has been given to the Medieval, Early Modern, and Enlightenment periods. To avoid a rigid compartmentalization of the book based on individual fields of study we opted for a fluid division into multidisciplinary sections, reflective of the complex interactions of the included works with medicine.

Take your first step toward a successful career in medical coding with guidance from the most trusted name in coding education! The bestselling Buck's Step-by-Step Medical Coding is a practical, easy-to-use resource that shows you exactly how to code using all current coding sets. To reinforce your understanding, practice exercises follow the explanations of each coding concept. In addition to coverage of reimbursement, ICD-10-CM, CPT, HCPCS, and inpatient coding, an Evolve website includes 30-day access to TruCode® Encoder Essentials. No other book so thoroughly covers all coding sets! Theory and practical review questions (located at the end of each chapter) focus on recalling important chapter information and application of codes. A step-by-step approach makes it easier to build your coding skills and remember the material. Learning objective and glossary review questions reinforce your understanding of key chapter concepts and terms 30-day trial to TruCode® Encoder Essentials gives you experience with using an encoder (plus access to additional encoder practice exercises on the Evolve website). UNIQUE! "Real-life" coding reports simulate the reports you will encounter as a coder and help you apply coding principles to actual cases. Online activities on Evolve provide extra practice with assignments, including coding reports. Coverage reflects the latest CPT E/M guidelines changes for office and other outpatient codes. More than 450 illustrations help you understand the types of medical conditions and procedures being coded, and include examples taken directly from Elsevier's professional ICD-10 and HCPCS manuals. UNIQUE! Four coding-question variations - covering both single-code questions and multiple-code questions and scenarios - develop your coding ability and critical thinking skills. UNIQUE! Coders' Index in the back of the book makes it easy to quickly locate specific codes. Official Guidelines for Coding and Reporting boxes show the official guidelines wording for inpatient and outpatient coding alongside in-text explanations. Exercises, Quick Checks, and Toolbox features reinforce coding rules and concepts, and emphasize key information. Valuable tips and advice are offered in features such as From the Trenches, Coding Shots, Stop!, Caution!, Check This Out, and CMS Rules. Sample EHR screenshots (in Appendix D) show examples similar to the electronic health records you will encounter in the workplace. NEW! Coding updates include the latest information available, promoting accurate coding and success on the job.

Resilient Health: Leveraging Technology and Social Innovations to Transform Healthcare for COVID-19 Recovery and Beyond presents game-changing and disruptive technological innovations and social applications in physical and mental healthcare around the world for the post-COVID age and beyond, addressing the urgent need for care. In this first-of-its kind comprehensive volume, experts and stakeholders from all sectors - government and the public and private sectors - offer models and frameworks for policy, programming, and financing to transform healthcare, address inequities, close the treatment gap, and "build back better,? especially for under-resourced vulnerable communities globally, to "leave no one behind? and advance development globally. Contributions from world experts cover 8 essential parts: The context and challenges for resilient health systems to shape the future; developments and directions (AI, VR, MR, IVAs and more); an innovations toolbox, also targeted for special populations and settings (women, youth, ageing, migrants, disabled persons, indigenous peoples, in the workplace); the role of stakeholders (governments, the United Nations bodies, and the public and private sector); forums and networks; innovative financing; resources, lessons learned and the way forward.

This book constitutes the refereed proceedings of the 17th International Conference on DNA Computing and Molecular Programming, DNA17, held in Pasadena, CA, USA, in September 2011. The 12 revised full papers presented together with 5 invited talks were carefully selected from numerous submissions. Research in DNA computing and molecular programming draws together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. This annual meeting is the premier forum where scientists with diverse backgrounds come together with the common purpose of advancing the engineering and science of biology and chemistry from the point of view of computer science, physics, and mathematics.

This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010. The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The second volume includes 76 papers organized in topical sections on video and image processing; hybrid artificial neural networks: models, algorithms and data; advances in machine learning for bioinformatics and computational biomedicine; biometric systems for human-machine interaction; data mining in biomedicine; bio-inspired combinatorial optimization; applying evolutionary computation and nature-inspired algorithms to formal methods; recent advances on fuzzy logic and soft computing applications; new advances in theory and applications of ICA-based algorithms; biological and bio-inspired dynamical systems; and interactive and cognitive environments. The last section contains 9 papers from the International Workshop on Intelligent Systems for Context-Based Information Fusion, ISCIF 2011, held at IWANN 2011.

Vil du vide, hvorfor du skal sige ja til vaccinationer, holde op med at tro på alternative behandlinger, der kan kurere hvad som helst, og sagtens kan droppe juicekuren, hvis du vil leve et langt og sundt liv? Så læs den danske læge og ph.d. Ida Donkins nye bog om at finde vej gennem sundhedsjunglen og overleve det næste sundhedsråd. I bogen får du fakta, der kan ruste dig i diskussionen om den nyeste mirakelkur - og værktøjer til at vurdere alternative behandlinger og tvivlsomme sundhedstips. Når vi danskere googler emner som sygdom og sundhed, er der nemlig stor risiko for at støde på halve sandheder, pseudovidenskab og manipulerede fakta fra firmaer med kommercielle interesser i dit helbred. Konsekvensen er uhensigtsmæssige valg af behandling og en livsstil, der kan være skadelig for vores helbred og i yderste konsekvens have døden til følge. Ida Donkin er ikke bare forsker og læge (på en fødeafdeling), hun er også mor til to små børn og kender til desperationen over, hvad man dog skal tro på i sundhedsdebatten. Og så er hun vært på podcastserien "Sundhedsjunglen".

”Naturvidenskabelig førstehjælp” er den første danske naturvidenskabelige grundbog fra FADL’s Forlag suppleret af tegneserier efter stilen graphic medicine. Bogen indeholder 28 spændende kapitler, der kommer omkring alt fra videnskabsteori, cellulær transport og buffersystemer til logaritmer, genetik, iontransport og billeddiagnostik. Hele vejen igennem understøttes hvert kapitel af en tegneserie, hvor læseren kan følge Caroline, der starter i den kliniske basisuddannelse (KBU) og undervejs får mange faglige og personlige udfordringer.Medicinske problemstillinger suppleret af naturvidenskabelige fagtekster gør, at ”Naturvidenskabelig førstehjælp” bygger bro mellem det gymnasiale niveau og begyndelsen af lægevidenskabelige uddannelser på universitetet. Hvert kapitel af tegneserien er efterfulgt af et naturvidenskabeligt emne, som kort og præcist genopfrisker og perspektiverer emnet for den kommende/nuværende/tidligere medicinstuderende eller anden naturvidenskabeligt interesserede læser. Bogen kan læses fra start til slut, men kan også sagtens bruges som opslagsværk for at genopfriske store dele af lægevidenskabens naturvidenskabelige grundlag.Bag bogen står et dygtigt forfatterteam af både læger og biologer, der sikrer, at bogens høje videnskabelig niveau gøres lettilgængeligt for de studerende.

Bogen er illustreret med billeder og børneteninger. Lise Giødesen har her samlet sine tanker og erfaringer fra den livslange hjertesag: børn på hospital. Med erfaringer – også fra USA – sætter hun fokus på børns oplevelser af mødet med hospitalets fremmede verden og de mange bekymringer og fejlopfatteler, der følger med. Bogen giver desuden vejledning til kommunikation med børn samt råd til personale og forældre om, hvordan de kan mildne erfaringerne i de fremmede omgivelser, hvor alt kan ske. Det er vigtigt, at et barn og dets familie får hjælp til at komme sikkert igennem mødet med hospitalet. Bogen er illustreret med billeder og børneteninger.