Digital technologies can change how health and care organisations are structured and how they work. They can have an impact on who leaders or staff can reach and hear from: staff can be engaged over longer periods of time and across wider groups of colleagues, and leaders can quantify perceptions of services and reduce their dependency on anecdotal information.
Oil and gas companies are following the science – indeed, they are using the most advanced science available, and they are using it to extract even more fossil fuel.
[And extreme violence!]
Although search engines sometimes highlight specific search results relevant to health, many resources remain underpromoted.5 AI assistants may have a greater responsibility to provide actionable information, given their single-response design. Partnerships between public health agencies and AI companies must be established to promote public health resources with demonstrated effectiveness. For instance, public health agencies could disseminate a database of recommended resources, especially since AI companies potentially lack subject matter expertise to make these recommendations, and these resources could be incorporated into fine-tuning responses to public health questions. New regulations, such as limiting liability for AI companies who implement these recommendations, since they may not be protected by 47 US Code § 230, could encourage adoption of government recommended resources by AI companies.
For health and social care to benefit from digital technologies there needs to be a vibrant ecosystem with innovations that are problem-led and rapid to implement, while using the best evidence-based technology. The evolution of the ecosystem is far from this ideal and risks being shaped by dysfunction.
The design, development, implementation and use of digital technologies in health and care can be considered to be an ecosystem made up of provider organisations, staff, patients, carers, innovators, regulators, researchers, charities and suppliers. It’s a complex ecosystem with many interacting parts, each one with different incentives and aspirations that can make them pull in slightly different directions. If the ecosystem is healthy, it should create a number of benefits for all parts of the system.
Concludes that there is little uptake of psychological interventions for depression. Strategies currently in development that could change this include single session interventions and task sharing which involves using lay counsellors to deliver the intervention. Digital interventions could improve access to treatment and have shown some positive outcomes.
This study examines whether a mobile health patient reported outcome app integrated in the electronic health record (EHR) can reduce visit volume for rheumatoid arthritis. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
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NYT article about Clearview AI Inc. and other face recognition tech companies including Chinese and South Korean ones , by Kashmir Hill, from Oct 2021. Testing f-r tech at NIST.
Editorial. Digital platforms and artificial intelligence's (AI) influence on our daily lives often go unnoticed. From the algorithms that support our smartphones and driverless vehicles to the medical diagnostic systems used by health professionals, AI is increasingly taking over decision-making tasks traditionally performed by humans. While enhancing human efficiency, this shift also introduces a myriad of ethical and legal uncertainties that demand our attention.
Free Access Article
Overall, ICT fall interventions improved fall efficacy but not cognitive function. For quality of life (QOL), mixed results were found depending on the assessment tools.
Open Access article - no password required.
'Findings strongly point toward the fact that personalised AI-enabled chatbots can increase self-referrals to mental health services without negatively impacting wait times or clinical assessments. Critically, the increase in self-referrals is more pronounced in minority groups, suggesting that this technology may help close the accessibility gap to mental health treatment. The fact that ‘human-free’ was identified as a positive by participants suggests that reduced stigma may be an important mechanism.'