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The imperative to increase healthcare access, efficiency and effectiveness is nearly impossible to meet without reliance on technology. Telemedicine tools now include video, e-mail, text messaging, apps, and other mobile health modalities, deployed synchronously, asynchronously and in hybrid combinations to offer assessment, consultation, direct treatment, and integrated care. Within telemedicine, mental health is particularly well suited to technology platforms due to several inherent factors: provider shortages that are often more acute than in other specialties; the relatively reduced need for laboratory tests, imaging studies and physical examinations; the stigma still attached to mental illness; and diagnosis-specific obstacles that can complicate in person visits (e.g., pronounced fear in social anxiety disorder). The need to increase access, efficiency and effectiveness, combined with the relative ease of translating mental health interventions to technology-mediated delivery, have led researchers to explore various platforms, including: computerized cognitive behavioral therapy; online psychotherapy and online psychopharmacology; mobile therapy; virtual/augmented reality exposure therapy; serious games; and artificial intelligence. Yet, despite often positive efficacy data and an ever more technology-reliant lifestyle, the reach of telemental health remains relatively limited in comparison with its potential. We aim to capture the current status of digital and telecommunications technologies in mental health and the field’s future trends and directions. Recently published data—as well as newly introduced platforms—have put both the promise and challenges of telemental health in sharp focus, making this an opportune time to compile a collection of high-quality, evidence-based and diverse articles that touch on various aspects of this technology revolution. This Research Topic collects articles that examine digital mental health interventions across different platforms and modes of delivery. The scope is broad to reflect the richness of the field and the many questions it raises: standalone vs. supported models; comparisons with “traditional” modalities; psychotherapeutic vs. psychopharmacological interventions; efficacy; patient attrition; cost-effectiveness; ethical issues; and insurer and malpractice coverage.

Medicine --- Psychiatry --- telemedicine --- digital mental health interventions --- virtual reality therapy --- artificial intelligence --- computerized cognitive behavior therapy --- telepsychiatry --- electronic health record - (EHR) --- internet addiction

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The imperative to increase healthcare access, efficiency and effectiveness is nearly impossible to meet without reliance on technology. Telemedicine tools now include video, e-mail, text messaging, apps, and other mobile health modalities, deployed synchronously, asynchronously and in hybrid combinations to offer assessment, consultation, direct treatment, and integrated care. Within telemedicine, mental health is particularly well suited to technology platforms due to several inherent factors: provider shortages that are often more acute than in other specialties; the relatively reduced need for laboratory tests, imaging studies and physical examinations; the stigma still attached to mental illness; and diagnosis-specific obstacles that can complicate in person visits (e.g., pronounced fear in social anxiety disorder). The need to increase access, efficiency and effectiveness, combined with the relative ease of translating mental health interventions to technology-mediated delivery, have led researchers to explore various platforms, including: computerized cognitive behavioral therapy; online psychotherapy and online psychopharmacology; mobile therapy; virtual/augmented reality exposure therapy; serious games; and artificial intelligence. Yet, despite often positive efficacy data and an ever more technology-reliant lifestyle, the reach of telemental health remains relatively limited in comparison with its potential. We aim to capture the current status of digital and telecommunications technologies in mental health and the field’s future trends and directions. Recently published data—as well as newly introduced platforms—have put both the promise and challenges of telemental health in sharp focus, making this an opportune time to compile a collection of high-quality, evidence-based and diverse articles that touch on various aspects of this technology revolution. This Research Topic collects articles that examine digital mental health interventions across different platforms and modes of delivery. The scope is broad to reflect the richness of the field and the many questions it raises: standalone vs. supported models; comparisons with “traditional” modalities; psychotherapeutic vs. psychopharmacological interventions; efficacy; patient attrition; cost-effectiveness; ethical issues; and insurer and malpractice coverage.

Medicine --- Psychiatry --- telemedicine --- digital mental health interventions --- virtual reality therapy --- artificial intelligence --- computerized cognitive behavior therapy --- telepsychiatry --- electronic health record - (EHR) --- internet addiction

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What our health data tell American capitalism about our value--and how that controls our lives. Afterlives of Data follows the curious and multiple lives that our data live once they escape our control. Mary F. E. Ebeling's ethnographic investigation shows how information about our health and the debt that we carry becomes biopolitical assets owned by healthcare providers, insurers, commercial data brokers, credit reporting companies, and platforms. By delving into the oceans of data built from everyday medical and debt traumas, Ebeling reveals how data about our lives come to affect our bodies and our life chances and to wholly define us. Investigations into secretive data collection and breaches of privacy by the likes of Cambridge Analytica have piqued concerns among many Americans about exactly what is being done with their data. From credit bureaus and consumer data brokers like Equifax and Experian to the secretive military contractor Palantir, this massive industry has little regulatory oversight for health data and works to actively obscure how it profits from our data. In this book, Ebeling traces the health data--medical information extracted from patients' bodies--that are digitized and repackaged into new data commodities that have afterlives in database lakes and oceans, algorithms, and statistical models used to score patients on their creditworthiness and riskiness. Critical and disturbing, Afterlives of Data examines how Americans' data about their health and their debt are used in the service of marketing and capitalist surveillance.

Medical records --- Debt --- Human rights --- Information systems --- Clinical records --- Health records --- Hospital medical records --- Patient care records --- Communication in medicine --- Hospital records --- Indebtedness --- Finance --- Political aspects --- Access control --- Economic aspects --- CONSUMER PROFILING--DATA PROCESSING --- DEBTS, EXTERNAL--USA --- PUBLIC HEALTH-​-​ECONOMIC ASPECTS --- INFORMATION TECHNOLOGY-​-​ECONOMIC ASPECTS --- DATA PROTECTION --- DATA MINING--MORAL AND ETHICAL ASPECTS --- Political aspects. --- HIPAA. --- algorithms. --- biometrics. --- credit information. --- data economy. --- data privacy. --- databases. --- electronic health record. --- finance. --- health informatics. --- medical systems. --- social determinants of health.

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As healthcare delivery moves from a provider-centric approach to a more patient-centric approach, systems and payers need to reimagine how care and team-based care is delivered to patients and reimbursed. Thus, the goal should be to see the right patient, by the right provider, in the right place, for the right price, and where appropriate, with the use of the right pharmaceutical(s) – “5 P’s”. There continues to be a reduction in physicians that are pursuing primary care roles in the United States, thus exacerbating the ability to meet patient demand. Most patient encounters begin with or end with the prescribing of medication. Thus, a future where pharmacists are embedded in primary care settings allows these pharmacists to collaborate at the point-of-prescribing (i.e., in-clinic) and provides tremendous benefits to providers and patients. The pharmacist workforce is educated at the doctoral level, yet vastly underutilized and can assist in a collaborative approach in primary care. The collection of articles in the Special Issue “Embedded Pharmacists in Primary Care” highlight examples of models that have included pharmacists in the ambulatory setting providing services in chronic disease management, comprehensive medication management, and care of specific conditions such as diabetes.

diabetes --- hypertension --- dyslipidemia --- primary care --- family medicine --- comprehensive medication management --- primary health care --- pharmacy --- evidence-based pharmacy practice --- health outcomes --- academic --- dissemination --- practice transformation --- implementation science --- quality improvement --- pharmacist --- collaborative practice agreement --- patient care extender --- electronic health record --- electronic dashboard --- medical education --- graduate medical education --- interprofessional --- ambulatory pharmacy --- practice growth --- academic medical center --- innovative practice --- comprehensive medications management --- practice management --- ambulatory care --- clinical pharmacy --- chronic care management --- team-based primary care --- pharmacist in primary care --- n/a --- primary care team pharmacist --- pharmacist-physician collaboration --- interprofessional collaboration

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"Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care. Presents an overview and details of the current state of the art and usefulness of clinical decision support, and how to utilize these capabilities Explores the technological underpinnings for developing, managing, and sharing knowledge resources and deploying them as CDS or for other uses Discusses the current drivers and opportunities that are expanding the prospects for use of knowledge to enhance health and healthcare"-- From ProQuest Ebook Central.

Decision Support Systems, Clinical --- Clinical medicine --- Decision making --- Clinical Decision Support --- Decision Support, Clinical --- Clinical Decision Support System --- Clinical Decision Support Systems --- Clinical Decision Supports --- Decision Supports, Clinical --- Support, Clinical Decision --- Supports, Clinical Decision --- Clinical Decision-Making --- Diagnosis --- Problem solving. --- Data processing. --- Methodology --- Psychology --- Executive functions (Neuropsychology) --- Diseases --- Examinations, Medical (Diagnosis) --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medical tests (Diagnosis) --- Prognosis --- Symptoms --- Medicine, Clinical --- Medicine --- Testing --- Problem Solving --- Electronic Health Records. --- Organizational Innovation. --- Automation. --- Medical Informatics --- Medical Informatics Applications --- trends. --- Application, Medical Informatics --- Applications, Medical Informatics --- Informatics Applications, Medical --- Informatics Application, Medical --- Medical Informatics Application --- Biomedical Engineering --- Computer Science, Medical --- Health Informatics --- Health Information Technology --- Informatics, Clinical --- Informatics, Medical --- Information Science, Medical --- Clinical Informatics --- Medical Computer Science --- Medical Information Science --- Health Information Technologies --- Informatics, Health --- Information Technology, Health --- Medical Computer Sciences --- Medical Information Sciences --- Science, Medical Computer --- Technology, Health Information --- Computational Biology --- Biomedical Technology --- American Recovery and Reinvestment Act --- Automations --- Change, Organizational --- Innovation, Organizational --- Organizational Change --- Changes, Organizational --- Innovations, Organizational --- Organizational Changes --- Organizational Innovations --- Computerized Medical Record --- Computerized Medical Records --- Electronic Health Record --- Medical Record, Computerized --- Medical Records, Computerized --- Electronic Health Record Data --- Electronic Medical Record --- Electronic Medical Records --- Health Record, Electronic --- Health Records, Electronic --- Medical Record, Electronic --- Medical Records, Electronic --- Medical Record Linkage --- Executive Function --- Organizational change. --- Problem Solving. --- Decision Support Systems, Clinical. --- Medical Informatics. --- Medical Informatics Applications.