{"id":5982,"date":"2024-05-08T13:12:51","date_gmt":"2024-05-08T12:12:51","guid":{"rendered":"https:\/\/www.springboard.pro\/?p=4775"},"modified":"2026-09-01T18:39:08","modified_gmt":"2026-09-01T18:39:08","slug":"shaping-the-future-of-healthcare-data-ai-and-us","status":"publish","type":"blog","link":"https:\/\/www.sanner-group.com\/insights\/blog\/shaping-the-future-of-healthcare-data-ai-and-us\/","title":{"rendered":"Shaping the Future of Healthcare: Data, AI and Us"},"content":{"rendered":"\n
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Mike Beck, Head of Electronics at Sanner UK, spent some time in Boston at the Device Talks Conference last week. Here are his takeaways.<\/em><\/p>\n

After last week\u2019s DeviceTalks conference in Boston<\/a>, which saw 110+ speakers from 80+ companies share their insights with over 1100 of us, I thought I\u2019d take a few minutes to talk about where medical technology is heading, and what it means for us as designers, providers, and patients.<\/p>\n

 <\/p>\n

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Mike with DeviceTalks attendees<\/p>\n

Data \u2013 not just an android:<\/strong><\/h2>\n

It looks like data is going to form the backbone of future healthcare systems. By leveraging new technologies and the insights they afford healthcare professionals, we can accelerate workflows and improve patient outcomes.<\/p>\n

The increasing prevalence of health-trackers and smart-implants will provide doctors with more information about the patient\u2019s condition. Inside the hospital we now have the opportunity for continuous patient monitoring, reducing the time that patients can deteriorate un-noticed and improve patient outcomes. This can be extended to outside the hospital too, allowing the patient to be \u2018nudged\u2019 into better lifestyle choices, minimizing their need for clinical intervention in the first place.<\/p>\n

Key players in this space: GE Healthcare<\/a>, Pyrames<\/a>, Bloomlife<\/a>, Caretaker Medical<\/a><\/p>\n

AI \u2013 a permanent resident?<\/strong><\/h2>\n

Too much data might be just as problematic as too little. How do you draw out the useful insights for people under immense time-pressure?<\/p>\n

It looks like AI might make itself indispensable here \u2013 taking the large swathes of data these devices generate and turning them into actionable information. We\u2019ve already seen AI used in radiology to help analyze images for diagnostics, and there are plans for it to be involved in planning robotic surgery \u2013 creating \u00ab\u00a0no-fly\u00a0\u00bb zones to minimize damage to the surrounding tissues.<\/p>\n

Advancements in large language models, such as ChatGPT, might also make their way into surgical stations \u2013 helping medical staff write notes by dictation, saving them precious time to interact with patients instead.<\/p>\n

Whilst all of this is fantastic for the healthcare professional and patient, we need to make sure that the AI is doing what it should \u2013 so that means lots and lots (and lots) of training, tuning and testing. The MHRA and FDA have jointly provided guidance on the development of Predetermined Change Control Plans (PCCPs). Historically the algorithm in your medical device has been locked as it goes to market \u2013 defeating much of the point of AI \u2013 but the existence of PCCPs allows manufacturers to iteratively update their algorithms once on the market, \u00a0ensuring safe operation of these devices over the device\u2019s total product lifecycle and, hopefully, further improving patient outcomes. This means that the training, tuning and testing won\u2019t stop when a product enters the market \u2013 and the development cost might just continue to ratchet up while the unit is on sale.<\/p>\n

Key player: Kebormed<\/a><\/p>\n

And what about us?<\/strong><\/h2>\n

It\u2019s no secret that the majority of medical devices (and drugs) have been designed by white men for white men, and indeed tested predominantly on white, middle-aged men. So, good news if I need medical treatment in my 40s \u2013 all these devices have been optimized for me! But what about women, people of color, children and the elderly? These devices cannot reasonably be a one-size-fits-all solution.<\/p>\n

When we couple this obvious issue, with the reduced access to (accurate) healthcare provision afforded to these groups, we see a huge disparity in global healthcare equity. Whilst companies such as Medtronic are already making concerted efforts to address this, it falls on every single one of us to be more intentional in our decision-making. Only then will we ensure that we don\u2019t just design for (and test on) the status-quo, and actually include everyone \u2013 regardless of sex, body-shape, age, ethnicity and (dis)ability.<\/p>\n

Key resources: Go Red for Women | The American Heart Association\u2019s signature women\u2019s initiative<\/a>,<\/p>\n

Looking ahead \u2013 the challenges and opportunities<\/strong><\/h2>\n

Increased data and the inclusion of AI in new medical products opens up several avenues to us, as designers, to improve the patient experience and success of any medical treatment. Decentralized healthcare systems will reduce the barriers for patients to access the treatment they need, whilst additional information available to healthcare providers will allow them to better diagnose illnesses and plan any interventional surgery.<\/p>\n

Before this becomes a reality, there will be technical and regulatory challenges to solve \u2013 such as how to ensure data security and validity across the full device lifetime \u2013 but with a concerted team effort from designers and the regulatory bodies, I see no reason why these can\u2019t be solved. Instead, one of the key challenges will probably be money. How do we ensure that this healthcare becomes available to those who need it, and not just those who can pay or fit into the most profitable sector?<\/p>\n

If we can solve these though, the future of global healthcare provision is promising.<\/p>\n

\u00a0\u201cWe engineer the extraordinary\u201d \u2013 Rajit Kamal, VP of Robotic Surgical Technologies (Medtronic)<\/em><\/p>\n <\/div>\n <\/div>\n <\/div>\n<\/section>","protected":false},"featured_media":5718,"template":"","blog_category":[75,118],"class_list":["post-5982","blog","type-blog","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nShaping the Future of Healthcare: Data, AI and Us - Sanner Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sanner-group.com\/fr\/insights\/blog\/shaping-the-future-of-healthcare-data-ai-and-us\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Shaping the Future of Healthcare: Data, AI and Us - Sanner Group\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.sanner-group.com\/insights\/blog\/shaping-the-future-of-healthcare-data-ai-and-us\/\" \/>\n<meta property=\"og:site_name\" content=\"Sanner Group\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-01T18:39:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.sanner-group.com\/wp-content\/uploads\/2024\/05\/Device-Talks-Boston-2024.png\" \/>\n\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t<meta property=\"og:image:height\" content=\"50\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.sanner-group.com\\\/insights\\\/blog\\\/shaping-the-future-of-healthcare-data-ai-and-us\\\/\",\"url\":\"https:\\\/\\\/www.sanner-group.com\\\/insights\\\/blog\\\/shaping-the-future-of-healthcare-data-ai-and-us\\\/\",\"name\":\"Shaping the Future of Healthcare: Data, AI and Us - 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