Tag Archives: Artificial Intelligence (AI)

Digital Social Care Pathfinders: the Social Care Programme (NHS Digital)

Posted on February 19, 2020 by Dementia and Elderly Care News

Summary NHS Digital is funding sixteen “Digital Social Care Pathfinders” projects with £4.5 million, with the aim of developing solutions for bridging the data and technology “gaps” which may act as barriers to better integration between the NHS and social … Continue reading →

Digital Technology for Early Detection of Neurodegenerative Disease (BBC News / EDoN)

Posted on February 15, 2020 by Dementia and Elderly Care News

Summary The Early Detection of Neurodegenerative Diseases (EDoN) initiative, with backing from Alzheimer’s Research UK, is working to develop wearable devices which will collect data to help detect the early stages of Alzheimer’s Disease and other neurodegenerative diseases. Full Text … Continue reading →

Posted in Alzheimer’s Research UK, BBC News, Diagnosis, For Carers (mostly), For Doctors (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), In the News, Parkinson's Disease, Quick Insights, UK, Universal Interest | Tagged Accelerating Detection of Disease Programme, Alan Turing Institute, Alzheimer's Disease: Diagnosis, Alzheimer’s Disease, Alzheimer’s Research UK (ARUK), Artificial Intelligence (AI), ARUK: Alzheimer’s Research UK, Asymptomatic Alzheimer’s Disease, Automatic Speech Analysis, BBC Health News, BBC Technology News, Behavioural Biomarkers, Benefits of Early Detection, Big Data, Bill and Melinda Gates Foundation, Biomarker Development, Biomarkers, Biomarkers Predicting Cognitive Decline and Alzheimer's Disease, CrawfordWorks, David Cameron, David Cameron: Former Prime Minister, Digital Biomarkers, Digital Diagnostic Tools, Digital Fingerprints, Digital Technology, Digital Technology and Innovation, Early Detection of Alzheimer’s Disease, Early Detection of Disease, Early Detection of Neurodegenerative Diseases, Early Detection of Neurodegenerative Diseases (EDoN), Early Detection of Preclinical Disease, Early Diagnosis, Early Diagnosis of Alzheimer's Disease, Early Diagnosis of Dementia, Early Recognition of Alzheimer’s Disease Using Digital Technology, Early Recognition of Neurodegenerative Diseases Using Digital Technology, EDoN Clinical Support Group, EDoN Cohorts and Biomarkers Working Group, EDoN Digital Platform Working Group, EDoN Digital Support Group, EDoN Digital Toolkit, EDoN Digital Tools Working Group, EDoN Fingerprint Analytics Working Group, EDoN White Paper, Ethical Considerations, Ethical Sharing of Data Between Organisations, Fingerprint Analytics, Gait: an Integrative Measure of Health, Heart Rate, Iceland Foods Charitable Foundation, Information Technology, International and Independent External Advisory Board, Investment in Information Technology, Machine Learning Models, Medopad, Mild Cognitive Impairment (MCI), Mindstrong Health, MRC Harwell Institute, National Hospital for Neurology and Neurosurgery: University College London, National Physical Laboratory, Neurodegeneration, Neurodegenerative Disease Research, Neurodegenerative Diseases, Newcastle University, Non-Invasive Biomarkers, Optimising Benefits of Digital Technology, Preclinical Alzheimer's Disease, Preclinical Biomarkers and Dementia, Preclinical Biomarkers in Alzheimer's Disease, Preclinical Dementia and Associated Lifestyle Changes, Preclinical Indicators and Dementia, Preclinical Indicators in Alzheimer's Disease, Preclinical Phase of Dementia, Prodromal Alzheimer's Disease, Prodromal Dementia, Rates of Conversion From Mild Cognitive Impairment to Dementia, Research Informatics, Sleep Patterns, Smart Phone apps, Smart Sensors, Smart Watches, Target Discovery and Preclinical Validation, Tencent, The Rt Hon David Cameron: Chair of EDoN Board, The Rt Hon David Cameron: President of Alzheimer’s Research UK, Timely / Preclinical Neurodegenerative Diseases Diagnosis, Timely Screening / Preclinical Neurodegenerative Disease, University College London, University of Cambridge, University of Exeter, University of Oxford Big Data Institute, Walking Speed: a Behavioural Biomarker for Neurocognitive and Physical Decline, Wearable Devices, Wearable Monitoring Equipment, Wearable Sensors, Wearable Technology, Wearables (Technology) | Leave a comment

Babylon Health Applies Artificial Intelligence to Improving Integration of Care and Population Health in Wolverhampton (HTN / RWT / BMJ / Lancet / NHS England / BBC News)

Posted on January 26, 2020 by Dementia and Elderly Care News

Summary Babylon Health and the Royal Wolverhampton NHS Trust have announced a ten year partnership to explore the application of an artificial intelligence app to delivering joined-up digital care for Wolverhampton’s population. Full Text Link Reference Babylon agrees 10 year … Continue reading →

Posted in Acute Hospitals, Assistive Technology, Commissioning, Community Care, Diagnosis, For Carers (mostly), For Doctors (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), For Social Workers (mostly), In the News, Integrated Care, Local Interest, Management of Condition, National, New Cross Hospital, NHS, Non-Pharmacological Treatments, Person-Centred Care, Personalisation, Quick Insights, Royal Wolverhampton NHS Trust, Telecare, Telehealth, UK, Universal Interest, Wolverhampton | Tagged Access to Personal Health Records Online, Access to Primary Care, Adoption of Innovations, Ageing and Long-Term Care, Ageing Population, AI Health Assistant: Medical Information and Triage Advice, AI Symptom Checkers, Ali Parsa: CEO and Founder of Babylon, Anticipatory Care Planning and Integration, Applications of Big Data, Apps, apps for Smartphones or Tablets, Artificial Intelligence (AI), Artificial Intelligence Enhanced Anticipatory Care, Ask A&E: Free COVID-19 Care Assistant (Powered by Babylon), Babylon, Babylon’s AI Symptom Checker, Babylon’s Artificial Intelligence, BBC Health News, BBC Technology News, Beyond Integrated Care: Population Health Systems, Birmingham and Solihull, Blurring Boundary Between Primary and Secondary Care, BMJ, BMJ Publishing Group Ltd, Booking Appointments, British Medical Journal (BMJ), Cannock Chase Hospital, Co-Design, Co-Design: People-Driven Change, COVID-19 Care Assistant, Digital Care Plans, Digital Care Records, Digital Change in Health and Social Care, Digital Health, Digital Health Innovations, Digital Innovation, Digital Interventions for Health System Improvements, Digital Maturity, Digital Outpatients, Digital Patient Portal, Digital Service Transformation, Digital Services, Digital Services for Patients, Digital Suppliers, Digital Technology, Digital Technology and Innovation, Digital-First Integrated Care, Digital-First Primary Care, Efficiencies and Productivity Gains, Efficiency and Effectiveness, Efficiency Opportunities, Electronic Booking, GP at Hand (Babylon), GP at Hand app (Babylon Health), Greener NHS Campaign, Health and Care Infrastructure, Health and Care of Older People, Health Assessments, Health Information Technology, Health Innovation, Health Management, HTN: Health Tech Newspaper, Innovation and Co-Design, Integrated Digital Care: An Information Revolution, Integrated Digital Health System (Wolverhampton), Integrated Digital Health Systems, Integration of Primary Community and Secondary Healthcare, Integration of Primary Secondary and Community Care, IT Infrastructure, Joined-Up Care, Joined-Up Healthcare: Digital Technology, Merging the Interfaces of Primary and Secondary Care, Monitoring Patients Remotely, Net Zero, Net Zero NHS: Greener NHS Campaign, Optimising Benefits of Digital Technology, Optimising Patient Outcomes Using Digital Technology, Patient Access to Records, Patient Activation, Patient Choice, Patient Control Over Appointment Booking and Prescriptions, Patient Empowerment, Patient Facility to Watch Consultations Again (Improving Adherence to Clinician Instructions), Patient Facility to Watch Consultations Again (Improving Health Literacy), Patient Facility to Watch Consultations Again (Improving Memory of Instructions), Patient Records, Personal Clinical Records, Personalised Care Plans, Population Health, Primary and Secondary Care, Professional Record Standards Body (PRSB), Reducing Unnecessary Admissions, Reducing Unnecessary Travel, Reducing Unnecessary Trips to Hospital, Reducing Waste in the NHS, Remote Appointments, Remote Care Monitoring, Remote Consultations, Remote Health Monitoring, Remote Support, Remote Technologies for Healthcare Quality Improvement, Self Care (Technology-Supported), Self-Management (Technology-Supported), Service Transformation, Smartphone apps, Smartphones, Sultan Mahmud: Director of Integration Innovation and Research at RWT, Technological Trends, Technology and Innovation, Technology-Supported Self-Management, Telecare (Remote Collection of Patient Data), Telehealth (Remote Monitoring), Telehealth to Monitor Patients Remotely, Telemedicine, Telemonitoring, TeleTracking, Text Messaging, Transformative Health Technology, Transformative Technology, Treating Patients Closer to Home, University Hospital Birmingham (UHB) NHS Foundation Trust, University Hospitals Birmingham NHS Foundation Trust, Vertical Integration (of Primary and Secondary Care), Video Consultations to Avoid Outpatient Attendances, Video or Face-to-Face Consultations, Wearable Technology, Wearables (Technology), West Park Hospital, Zesty: Digital Outpatients | Leave a comment

Review of Socially Assistive Robots (Journal of Medical Internet Research)

Posted on August 6, 2019 by Dementia and Elderly Care News

Summary A recent systematic review of the literature on the uses and efficacy of socially assistive robots (SARs) notes that the limited evidence to date in the field of mental health focuses largely on applications of SARs for elderly persons with dementia. There is … Continue reading →

Posted in Acute Hospitals, Assistive Technology, Community Care, For Carers (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), International, Mental Health, Models of Dementia Care, Non-Pharmacological Treatments, Personalisation, Quick Insights, Systematic Reviews, Universal Interest | Tagged Ageing Population, Agitation, Android Companions, Android Pets, Artificial Intelligence (AI), Artificial Intelligence: Assisting People With Dementia, Assistive Intelligent Robots, Behavioural and Psychological Symptoms of Dementia (BPSD), Betty, Care Robots, Companionship, CRECA: Contextual Respectful Counselling Agent, Distressed Behaviour, Edith Nourse Rogers Memorial Veterans Hospital (Bedford MA), Emotional Automata, Emotional Robots, Emotional Wellbeing, Entertainment and Stimulation, Ethical Issues of Dementia Care, Examples of Robots in Social Care Practice, Haptic Creature, Home Care Robots, Humanoid SARs, Individually Prioritized Problems Assessment (IPPA), Journal of Medical Internet Research (JMIR), Loneliness in Older People, Mental Health and Wellbeing, Mental Health Outcomes, Mental Wellbeing, Mental Wellbeing and Older People, NAO: Aldebaran Robotics, Pets (Robotic), Pets as Companions for People with Dementia, Physical Assistance (Robotic), Psychological and Emotional Wellbeing, Quality of Life and Relationship Quality for People With Dementia, Quality of Life for People Living in Care Homes, Quality of Life for People With Dementia, Reducing Agitation and Distress, RoboPets for Care Home Residents, Robot Seal (PARO), Robot Therapy, Robotherapy, Robotic Care for the Elderly, Robotic Pets for Care Home Residents, Robotic Support for Care Workers, Robotics, Robotics in Social Care, SARs: Socially Assistive Robots, Self-Assessment Manikin (SAM), Social and Community Reintegration Research Program: Edith Nourse Rogers Memorial Veterans Hospital, Social Companion Robots, Social Interaction, Social Interaction With Robopets, Social Robots and Well-Being, Socially Assistive Robots, Systematic Reviews and Meta-Analyses, United States, USA | Leave a comment

Accelerating Detection of Disease Programme (DHSC)

Posted on July 26, 2019 by Dementia and Elderly Care News

Summary The government-backed Accelerating Detection of Disease programme will support co-investment in research aimed at earlier diagnosis, plus better prevention and appropriately targeted treatments for diseases including dementia, cancers and heart disease. “Diseases could be detected even before people experience … Continue reading →

Posted in Alzheimer’s Research UK, Charitable Bodies, Commissioning, Department of Health, Department of Health and Social Care (DHSC), Diagnosis, For Carers (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), In the News, National, Quick Insights, UK, Universal Interest | Tagged Academic-Industry Collaborations, Accelerating Detection of Disease Programme, Accelerating Detection of Disease Projects, Ageing Population, AI and Data Grand Challenge, AI and Data Grand Challenge Mission, Artificial Intelligence (AI), Artificial Intelligence and Machine Learning From Volunteers' Records, British Heart Foundation (BHF), Cancer Research UK, Chronic Diseases, Collaboration (Including Information-Sharing), Collaboration and Co-Development, Cross Specialty Collaboration, Cross-Sector Collaboration, Department for Business Energy and Industrial Strategy, Department for Business Energy and Industrial Strategy (BEIS), Department of Health and Social Care, Diagnostic Technology, Diagnostic Tests Involving AI, Early Diagnosis and Treatment of Chronic Diseases, Early Screening, Embedding Scientific and Technological Developments: Genomics Robotics and Artificial Intelligence (AI), Fiona Watt: UKRI Challenge Director, Former Prime Minster: Rt Hon Theresa May MP, Grand Challenges: Department for Business Energy and Industrial Strategy (Policy Paper), Industrial Strategy Challenge Fund, Industrial Strategy: Health-Data Programme, Information Technology, Innovation Infrastructure, Innovation Technology and Infrastructure, Investment in Information Technology, IT Infrastructure, Life Sciences Sector Deal, Life Sciences Sector Deal Number 2 (2018), Office for Life Sciences, Prevention of Chronic Diseases, Professor Sir John Bell: AI and Data Grand Challenge, Rt Hon Greg Clark MP, Rt Hon Theresa May MP (Former Prime Minster), Screening, Screening Technology, Transformational Commissioning, Transformational Technologies, Transformative Health Technology, Transformative Technology, UK Research and Innovation (UKRI), UKRI Challenge | Leave a comment

Robotics in Social Care (Houses of Parliament Library POST Note PN 591)

Posted on December 19, 2018 by Dementia and Elderly Care News

Summary A recent Parliamentary Office of Science and Technology (POST) research briefing note covers the potential impact of robotics on the costs and quality of social care. It explores all aspects of the possible uses of robots in social care. Full Text … Continue reading →

Posted in Assistive Technology, Commissioning, Community Care, For Carers (mostly), For Doctors (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), For Social Workers (mostly), Management of Condition, Non-Pharmacological Treatments, Person-Centred Care, Personalisation, Quick Insights, UK, Universal Interest | Tagged Ageing Population, Artificial Intelligence (AI), Artificial Intelligence: Assisting People With Dementia, Assistive Intelligent Robots, Care Robots, Emotional Robots, Examples of Robots in Social Care Practice, Home Care Robots, Houses of Parliament, NHS Data Security and Protection Toolkit (DSPT), Parliamentary Office of Science and Technology (POST), Pepper Robots, Pets (Robotic), Physical Assistance (Robotic), POST: Parliamentary Office of Science & Technology, Robotic Care for the Elderly, Robotic Support for Care Workers, Robotics, Robotics in Social Care, Robotics in Social Care (POST Note PN 591), Robots, Social Assistance (Robotic), Social Care, Wearable Robots | Leave a comment

Outline National Strategy for Information Technology in Health and Care (DHSC / BBC News / NHS England / NIHR / HEE / WHO / SMF / CQC / HTN / NHS Digital)

Posted on October 21, 2018 by Dementia and Elderly Care News

Summary Matt Hancock, Health and Social Care Secretary, has announced the latest vision for IT modernisation in the NHS, This will involve moving applications / data to cloud-based services, and technical standards which will allow NHS IT systems to be … Continue reading →

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