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Content ArticleThe involvement and understanding of the end user is pivotal to the success of any digital health solution, intervention and initiative. Healthcare companies and start ups can improve adoption by engaging members of the healthcare community and the public in creating better digital healthcare systems that will improve access to care, are more inclusive, augment existing systems and address the real immediate issues. Integrate technology into the overall patient journey, focus on improving the existing system and address the immediate challenges. Ensure relevance and suitability by co-designing the systems with the users, patients, care teams, and the other stakeholders if they will be involved in the care delivery process. Focus on the clinical specification of the disease while designing the tools. Develop an inclusive design with the help of the consumers to ensure all the pain points are addressed. Minimise selection bias by including marginalised community segments to ensure inclusivity. Implement comprehensive training and provide continuous technical support and improvement. Extend patient education beyond digital literacy to include health literacy to promote and encourage healthy behaviour in society. Incorporate training of caregivers and family members to promote better disease management. Include care teams and clinicians in the training and support programmes to ensure that key player understands how best to use the tools and data-driven systems. Ensure health data is stored and shared securely and ethically Include transparent data policies in the overall project guidelines that are available to the patients. Educate the patients so they understand when and how to give consent to information sharing. Develop comprehensive, transparent, and inclusive policies and guidelines promoting equal access. Encourage reimbursement schemes of digital tools and virtual care. Built-in flexible financial and payment models to reduce the cost of care.
Regulating AI in health and care
Patient Safety Learning posted a news article in NewsIn his latest blog post, Matthew Gould, CEO of NHSX, has reiterated the potential AI has to reduce the burden on the NHS by improving patient outcomes and increasing productivity. However, he said there are gaps in the rules that govern the use of AI and a lack of clarity on both standards and roles. These gaps mean there is a risk of using AI that is unsafe and that NHS organisations will delay employing AI until all the regulatory gaps have been filled. Gould says, “The benefits will be huge if we can find the sweet spot” that allows trust to be maintained whilst creating the freedom for innovation but warns that we are not in that position yet. At the end of January, the CEOs and heads of 12 regulators and associated organisations met to work through these issues and discuss what was required to ensure innovation-friendly processes and regulations are put in place. They agreed there needs to be a clarity of role for these organisations, including the MHRA being responsible for regulating the safety of AI systems; the Health Research Agency (HRA) for overseeing the research to generate evidence; NICE for assessing whether new AI solutions should be deployed; and the CQC to ensure providers are following best practice. Read the full blog Source: Techradar, 13 February 2020
Can tech improve patient safety?