Christopher James, Sarang Shankar, Samuel J. Tromans, Richard Laugharne, Paraskevi Triantafyllopoulou, Maria Richards, Rohit Shankar
{"title":"The Bionics Bus for Neurology and Neuropsychiatry: Concept Development and Validation","authors":"Christopher James, Sarang Shankar, Samuel J. Tromans, Richard Laugharne, Paraskevi Triantafyllopoulou, Maria Richards, Rohit Shankar","doi":"10.1049/htl2.70008","DOIUrl":null,"url":null,"abstract":"<p>Healthcare delivery in the United Kingdom is increasingly becoming a challenging issue where demand is regularly outstripping availability. This is particularly a challenge in neurology and neuropsychiatry, where delays in diagnosis and treatment are leading to worse health and social outcomes. The Darzi report, which focused on three key tenants, has been hailed as the future blueprint for National Health Service (NHS) sustainability and high-quality care delivery. These three tenants are moving from analogue to digital approaches, focusing on prevention and wellbeing, and supporting diagnosis and treatment in communities instead of hospitals. Technological interventions are relevant at all stages of these care pathways. There is an opportunity to identify an easy to use community-based mobile resource to help screen, triage and refer suspect neurology and neuropsychiatric presentations to the right support. The potential benefits to patients, clinicians, organisations and communities could be significant. To enable this vision, the concept of Bionic Bus (https://bionicsbus.org/) was developed. This study looked to understand the acceptability, utility and scope of the Bionics Bus concept among the public using mixed-methods research techniques. Results suggest high acceptability, utility and wide scope. This study gives a template for similar evidence-based innovation to be applied for other health conditions.</p>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"12 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.70008","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/htl2.70008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Healthcare delivery in the United Kingdom is increasingly becoming a challenging issue where demand is regularly outstripping availability. This is particularly a challenge in neurology and neuropsychiatry, where delays in diagnosis and treatment are leading to worse health and social outcomes. The Darzi report, which focused on three key tenants, has been hailed as the future blueprint for National Health Service (NHS) sustainability and high-quality care delivery. These three tenants are moving from analogue to digital approaches, focusing on prevention and wellbeing, and supporting diagnosis and treatment in communities instead of hospitals. Technological interventions are relevant at all stages of these care pathways. There is an opportunity to identify an easy to use community-based mobile resource to help screen, triage and refer suspect neurology and neuropsychiatric presentations to the right support. The potential benefits to patients, clinicians, organisations and communities could be significant. To enable this vision, the concept of Bionic Bus (https://bionicsbus.org/) was developed. This study looked to understand the acceptability, utility and scope of the Bionics Bus concept among the public using mixed-methods research techniques. Results suggest high acceptability, utility and wide scope. This study gives a template for similar evidence-based innovation to be applied for other health conditions.
期刊介绍:
Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.