Psychiatry Algorithms for Primary Care is a practical, quick reference guide to psychiatric assessment and mental healthcare in general practice. Providing algorithms informed by evidence-based guidelines, this easy-to-use resource helps busy medical and healthcare professionals quickly assess mental health problems, make informed treatment decisions, and understand when referrals to specialist mental health services are appropriate. Drawing from their extensive experience in general practice and psychiatry, the authors provide clear and authoritative guidance on a wide range of common psychiatric disorders, complex scenarios, and special considerations. Unique visual management algorithms define assessment, diagnosis, investigations and management for each condition, including Bipolar Affective Disorder, Psychosis, Depression, Dementia, and Attention Deficit Hyperactivity Disorder. Up-to-date information on medication choices and counselling strategies is found throughout the text. Designed for informing swift clinical decisions in demanding primary care settings, this indispensable reference guide: Conforms to the diagnostic criteria in the current edition of the World Health Organization’s International Classification of Diseases Contains algorithms informed by the Royal College of General Practitioners (RCGP), Royal College of Psychiatrists (RCPsych), and the National Institute for Health and Care Excellence (NICE) guidelines Explores common complaints that can suggest psychological or psychiatric disorders, such as insomnia and fatigue Outlines special mental health considerations related to children, intellectual disability, autism, the elderly, and pregnancy Includes appendices covering commonly prescribed drugs and physical examinations for patients with severe mental illness Features numerous self-assessment questions and links to online reference tools for General Practitioners Psychiatry Algorithms for Primary Care is a much-needed resource for medical students and trainees, physicians and healthcare professionals in general practice, nurse practitioners, and practitioners in other fields such as urgent care and emergency medicine.

Algorithms serve an important purpose in the field of psychopharmacology as heuristics for avoiding the biases and cognitive lapses that are common when prescribing for many conditions whose treatment is based on complex data. Unique in the field, this title compiles twelve papers from the Psychopharmacology Algorithm Project at the Harvard South Shore Psychiatry Residency Training Program and presents practical ways to adopt evidence-based practices into the day-to-day treatment of patients. Psychopharmacology Algorithms is a useful resource for practicing psychiatrists, residents, and fellows, as well as psychiatric nurse practitioners, psychiatric physician assistants who prescribe, advanced practice pharmacists who prescribe, and primary care clinicians. Teachers of psychopharmacology may find it particularly valuable. Researchers in clinical psychopharmacology may find it helpful in identifying important practice areas that are in need of further study.

Ask for a definition of primary care, and you are likely to hear as many answers as there are health care professionals in your survey. Primary Care fills this gap with a detailed definition already adopted by professional organizations and praised at recent conferences. This volume makes recommendations for improving primary care, building its organization, financing, infrastructure, and knowledge baseâ€"as well as developing a way of thinking and acting for primary care clinicians. Are there enough primary care doctors? Are they merely gatekeepers? Is the traditional relationship between patient and doctor outmoded? The committee draws conclusions about these and other controversies in a comprehensive and up-to-date discussion that covers: The scope of primary care. Its philosophical underpinnings. Its value to the patient and the community. Its impact on cost, access, and quality. This volume discusses the needs of special populations, the role of the capitation method of payment, and more. Recommendations are offered for achieving a more multidisciplinary education for primary care clinicians. Research priorities are identified. Primary Care provides a forward-thinking view of primary care as it should be practiced in the new integrated health care delivery systemsâ€"important to health care clinicians and those who train and employ them, policymakers at all levels, health care managers, payers, and interested individuals.

BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

From the leading psychiatry department in the world, comes the second edition of this unique, symptom-oriented approach to the diagnosis and treatment of psychiatric diseases. Features coverage of all the salient features of psychiatric diseases as well as new emphasis on evidence-based algorithms, psychopharmacological advances, and the pediatric patient.

Pediatricians and primary care providers (PCPs) commonly encounter youth with mental health problems in their practice. The aim of this practical handbook is to facilitate the triage, differential diagnosis, treatment, and referral of youth in an efficacious and safe manner. Starting with common chief complaints, this ground-breaking text provides systematic algorithms which guide you through each step of the evaluation and treatment process. By using innovative tables, figures, and programmed text, your clinical input leads you to the key information that you need. Do you want to know how to structure your practice so that it can function smoothly even when a child is seen in crisis? This handbook can help you with that. Ever wonder whether a child should get a trial of therapy before starting medications? This handbook will help you figure that out. Ever wonder which medicine to start, at what dose, how to titrate it, what to tell parents, and how to manage it? It will help you with that as well. Ever wonder which rating scale would be good to monitor a child's progress? Done. Developed and written jointly by child psychiatrists and pediatricians working in unison, this is the handbook that you have been waiting for. In an age of FDA black box warnings and concern regarding high risk behaviors in youth, this is the handbook that places practical, easily accessible, and clinically useful information at your fingertips. If you have purchased a copy of Practical Child & Adolescent Psychiatry for Pediatrics and Primary Care and are interested in using it as a basis for teaching, training, or continuing education courses, we have the ideal teaching tool for you! A careful selection of elements from the book useful for teaching purposes, such as the algorithms, have been put together into a PowerPoint presentation which may be used during lectures. This presentation is supplied free of charge to approved instructors. Please complete the form above and return to us via mail, fax, or e-mail.

Evidence-Based Practice (EBP), a trend started in the medical community, is rapidly becoming of critical importance to the mental health profession as insurance companies begin to offer preferential pay to organizations using it. Featuring contributions from top researchers in the field, this groundbreaking book covers everything from what EBP is and its relevance to behavioural health to specific models for application and implementation, building best practice protocols, and evaluating bottom-line effectiveness in your organization.