Publications by authors named "Mark Buchner"
Article Synopsis
- There is a significant challenge in accurately diagnosing asthma in primary care, leading to frequent misdiagnosis, which prompted the development of a Clinical Decision Support System (CDSS) aimed at helping in this area for young patients aged 5-25.
- The study conducted in England and Scotland involved 10 general practices, with 75 out of 94 clinicians using the CDSS over six months, and qualitative interviews revealed that clinicians found it user-friendly and helpful in auto-populating patient information.
- While the CDSS was generally well-received, some limitations were noted, such as the inability to directly record findings into patient notes and a perception that it would be more beneficial for trainees than
Background: A connected system with smart devices could transform patient care and empower patients control of their asthma.
Objective: To explore how a connected-for-asthma system (C4A) with smart devices from multiple companies (smart-inhaler; smart-watch; smart-peak-flow meter, manual digital thermometer during the Coronavirus disease (COVID)-pandemic) could support asthma self-management.
Methods: In a proof-of-concept mixed-methods study (Winter 2021/2022), we collected data from devices linked via the C4A app enabling patients to self-monitor and share a monitoring summary (in PDF format) with their clinician.
Background: Asthma affects 235 million people worldwide. Supported self-management, including an action plan agreed with clinicians, improves asthma outcomes. Internet-of-things (IoT) systems with artificial intelligence (AI) can provide customized support for a range of self-management functions, but trust is vital to encourage patients' adoption of such systems.
View Article and Find Full Text PDFBackground: Supported self-management for asthma reduces acute attacks and improves control. The internet of things could connect patients to health care providers, community services, and their living environments to provide overarching support for self-management.
Objective: We aimed to identify patients' and clinicians' preferences for a future internet-of-things system and explore their visions of its potential to support holistic self-management.