Latest / Best of LinkedIn: Digital Transformation & Tech / Best of LinkedIn: Health Tech CW 42/ 43

Transcript

Best of LinkedIn: Health Tech CW 42/ 43 · Best of LinkedIn: Digital Transformation & Tech

• 0:00
  Speaker 0: This episode is provided by Thomas Allgaier and Freeness, based on the most relevant LinkedIn posts on health tech in CW.
• 0:06
  Speaker 0: forty two and forty three.
• 0:08
  Speaker 0: Freeness equips product and strategy teams with market and competitive intelligence to navigate the health tech landscape.
• 0:14
  Speaker 0: Welcome to the deep dive.
• 0:16
  Speaker 0: This week we're digging into the health tech activity that really stood out on LinkedIn over calendar weeks.
• 0:20
  Speaker 0: forty two and forty three.
• 0:22
  Speaker 0: And what really jumped out at me.
• 0:24
  Speaker 0: It feels like we've moved past the purely theoretical stuff.
• 0:28
  Speaker 0: The big theme seems to be practical integration.
• 0:30
  Speaker 0: You know, actually embedding intelligence, embedding automation right into the clinical workflow now.
• 0:35
  Speaker 1: That's spot on.
• 0:36
  Speaker 1: The focus is definitely shifting towards, well, operational results.
• 0:40
  Speaker 1: Real ROI.
• 0:41
  Speaker 1: So our mission today is to unpack the top, let's say, four clusters of innovation.
• 0:44
  Speaker 1: we saw driving that.
• 0:45
  Speaker 1: We're going to talk about AI helping out frontline staff, a huge issue with workforce shortages.
• 0:50
  Speaker 1: Yeah.
• 0:50
  Speaker 1: And also look at the pretty radical upgrades in imaging.
• 0:53
  Speaker 1: And maybe most importantly, how the industry is trying to build a better foundation of data trust and making systems actually talk to each other, interoperability.
• 1:01
  Speaker 0: Okay, let's dive in.
• 1:02
  Speaker 0: Theme one.
• 1:03
  Speaker 0: AI in care delivery.
• 1:05
  Speaker 0: It's obviously a massive topic, but like you said, the compelling part now is how AI has gone from being maybe a nice to
• 1:12
  Speaker 1: have to
• 1:13
  Speaker 0: really an essential tool, especially for easing the burden on staff.
• 1:17
  Speaker 1: And yeah, if you look at where the real pressure points are, it's often nursing.
• 1:21
  Speaker 1: There was a key post focusing on how Oracle Health EHR is working to empower nurses.
• 1:26
  Speaker 1: They're using voice first AI.
• 1:29
  Speaker 0: Voice first.
• 1:30
  Speaker 1: Yeah, to make documentation easier.
• 1:32
  Speaker 1: Things like AI-powered patient summaries, letting nurses use their voice for charting, like putting in discrete data, vital signs, that kind of thing.
• 1:38
  Speaker 0: That sounds crucial.
• 1:39
  Speaker 0: I mean, nurses spend so much time just on admins, staring at screens instead of with patients.
• 1:43
  Speaker 0: Cutting down that documentation time, that must directly help with satisfaction, retention, things every health system is worried about.
• 1:50
  Speaker 1: Exactly.
• 1:51
  Speaker 1: The aim, like Oracle Health's Seema Verma talked about, is less screen time, more patient care time.
• 1:57
  Speaker 1: Simple as that.
• 1:58
  Speaker 1: But it's not just admin.
• 1:59
  Speaker 1: AI is tackling.
• 2:00
  Speaker 1: We also saw it moving into some pretty high stakes clinical settings.
• 2:03
  Speaker 0: Like the ICU.
• 2:04
  Speaker 0: That needs incredibly fast, precise decisions.
• 2:08
  Speaker 0: Elk and Earl from T-Systems was discussing AI in the ICU.
• 2:12
  Speaker 0: things like ventilator weaning, super critical.
• 2:15
  Speaker 0: What exactly is AI helping with
• 2:17
  Speaker 1: there?
• 2:17
  Speaker 1: Well, this is where the prediction side really comes into play.
• 2:20
  Speaker 1: The AI looks at, you know, historical patient data, but also real time information like vital signs to predict the best time for extubation, taking someone off a ventilator.
• 2:29
  Speaker 1: Okay.
• 2:30
  Speaker 1: We saw sources mentioning prediction accuracy over eighty percent for finding that optimal timing.
• 2:35
  Speaker 1: Now obviously it doesn't replace the doctor or nurse, but it gives them a much stronger basis for their decision.
• 2:40
  Speaker 1: It could mean safer choices, potentially shorter ICU stays, better use of beds.
• 2:44
  Speaker 1: That eighty percent accuracy is a real tool against the risk of having to re-intubate someone.
• 2:49
  Speaker 0: And that hits the bottom line costs and outcomes.
• 2:52
  Speaker 0: But AI is also getting into that huge operational tangle with payers and the whole patient journey, isn't it?
• 2:57
  Speaker 0: Ganesh Kamath mentioned seeing companies automating that whole process.
• 3:00
  Speaker 1: Yes, absolutely.
• 3:01
  Speaker 1: The trend is definitely automating that whole administrative pathway.
• 3:05
  Speaker 1: Think about prior authorizations, always a headache.
• 3:08
  Speaker 1: We saw CoheerHealth automating this stuff at a massive scale, like over twelve million requests a year of their handling.
• 3:15
  Speaker 1: Yeah, that's a million.
• 3:16
  Speaker 1: Yeah.
• 3:16
  Speaker 1: And the reported outcomes are pretty transformative.
• 3:19
  Speaker 1: Things like up to seventy percent faster access to care for patients.
• 3:22
  Speaker 1: Yeah.
• 3:22
  Speaker 1: And maybe even more eye catching.
• 3:24
  Speaker 1: Forty percent lower admin costs for providers and payers.
• 3:27
  Speaker 0: Hold on.
• 3:28
  Speaker 0: Forty percent lower admin costs.
• 3:29
  Speaker 0: That's not just tweaking things.
• 3:31
  Speaker 0: That's potentially disrupting the whole model.
• 3:33
  Speaker 1: It really is.
• 3:34
  Speaker 1: Yeah.
• 3:34
  Speaker 1: And it goes beyond just billing.
• 3:36
  Speaker 1: There was another post talking about Emirates Health Services working with Oracle Health using AI specifically to cut down hospital readmissions.
• 3:45
  Speaker 1: So you see AI moving from just you know, documented care to actually helping ensure quality and monitoring patients after they leave.
• 3:52
  Speaker 1: The goal seems clear.
• 3:54
  Speaker 1: Put in smart automation to cut costs and risks at the same time.
• 3:58
  Speaker 1: Okay, so that speed and precision, like in the ICU example, well, it needs equally advanced tech underneath it, which brings us nicely to theme two.
• 4:06
  Speaker 1: Precision diagnostics, imaging, and novel computing.
• 4:10
  Speaker 1: This is where the basic hardware gets a serious upgrade.
• 4:12
  Speaker 1: Well, cut your eye in speeding up clinical analysis.
• 4:15
  Speaker 0: Yeah, this is where things get wild, I think.
• 4:16
  Speaker 0: The crossover between computing power and imaging.
• 4:19
  Speaker 0: Quantum computing, it's not just theory in a physics lab anymore.
• 4:22
  Speaker 0: Theodore Saz pointed out a breakthrough using quantum computing integrated into medical imaging.
• 4:26
  Speaker 0: It boosted processing speed by twenty-five percent for diagnostics.
• 4:30
  Speaker 1: Twenty-five percent faster.
• 4:32
  Speaker 1: And crucially, they said this was without losing accuracy.
• 4:36
  Speaker 1: diagnostic confidence stayed above ninety-five percent.
• 4:39
  Speaker 1: Just think about what that means.
• 4:40
  Speaker 1: Clinically faster results, more patients through the scanner in busy departments, quicker answers for urgent cases, that kind of computation just changes the speed limit for everything.
• 4:50
  Speaker 0: And that speed feeds right into new machines.
• 4:52
  Speaker 0: We saw new hardware using built-in AI.
• 4:55
  Speaker 0: A Koa Latu showcased the CT-五-three-hundred.
• 4:58
  Speaker 0: It uses AI to boost the clinician's confidence, but also gets eighty-five percent less noise and uses eighty percent less radiation dose for the patient.
• 5:05
  Speaker 0: Lower dose, higher confidence.
• 5:07
  Speaker 0: That's becoming the standard demand now, right?
• 5:08
  Speaker 1: Definitely.
• 5:09
  Speaker 1: And similarly, Fotis Lacha has talked about GE Healthcare's Cygnus Sprint Elite MRI.
• 5:14
  Speaker 1: It uses AI specifically tuned for tricky areas like cardiac and oncology MRIs.
• 5:19
  Speaker 1: Making those complex images, which often had artifacts, more reliable and faster to get.
• 5:23
  Speaker 1: I think
• 5:23
  Speaker 0: the really big strategic jump here, though, is towards genuine precision medicine.
• 5:28
  Speaker 0: Yolbakus discussed how AI is tackling this massive complexity problem in something called theranostics dosimetry.
• 5:35
  Speaker 0: Now, for listeners, maybe not deep in this, theranostics dosimetry is basically figuring out the exact personalized radiation dose when you're treating cancer using methods that combine diagnosis and therapy.
• 5:46
  Speaker 0: It's like a super customized digital plan for each patient.
• 5:49
  Speaker 1: It's an incredibly complex calculation, yeah.
• 5:52
  Speaker 1: And what AI is doing is using sort of simplified imaging combined with digital twins, these virtual models of the patient, to personalize those dose calculations.
• 6:01
  Speaker 1: It makes a level of customization practical that just wasn't before.
• 6:05
  Speaker 0: And this precision, it links straight to improving equity, doesn't it?
• 6:08
  Speaker 0: Carly Yoder highlighted that huge issue where, say, rural heart patients might have to drive for hours just for a basic scan.
• 6:14
  Speaker 0: Her point was really powerful.
• 6:16
  Speaker 0: Maybe instead of building hospitals everywhere, we should empower local staff.
• 6:20
  Speaker 1: Exactly.
• 6:21
  Speaker 1: The idea is to give nurses, maybe midwives, AI-guided tools so they can capture diagnostic quality images using stuff they might already have, like a phone.
• 6:30
  Speaker 1: Yeah.
• 6:30
  Speaker 1: It can really democratize access to specialist care and shrink those geographical caps.
• 6:35
  Speaker 1: Essentially turns the patient's own device into a potential diagnostic front-end.
• 6:40
  Speaker 0: But okay, if we're pushing diagnostic imaging onto consumer devices, what about the huge data security questions?
• 6:46
  Speaker 0: High pay compliance.
• 6:48
  Speaker 0: That must be a massive hurdle when you take this stuff outside the secure hospital network.
• 6:52
  Speaker 1: That is precisely the strategic knot you have to untangle.
• 6:55
  Speaker 1: Often the answer is a hybrid model.
• 6:57
  Speaker 1: You capture the image locally, maybe on a phone, but the complex processing happens securely in the cloud on platforms that are built with governance in mind, which actually leads perfectly into our next theme.
• 7:07
  Speaker 1: Theme three is all about governance, trust, and how AI itself is changing.
• 7:11
  Speaker 1: All this amazing speed and complexity we've talked about, quantum imaging, AI and the ICU, it all needs a really solid, believable foundation of trust.
• 7:19
  Speaker 0: And trust really seems to be the key sticking point for getting this stuff widely adopted, even while everyone knows about AI now.
• 7:26
  Speaker 0: Simon Philip Ross highlighted some crucial findings on public perception.
• 7:31
  Speaker 0: What was the main sort of tension there?
• 7:33
  Speaker 1: Well, the awareness of AI is definitely high, but public trust, it's shaky, especially the data showed among older adults and women, and that's a global trend.
• 7:43
  Speaker 1: Ross's point was strategic.
• 7:45
  Speaker 1: He basically said, trust is now a clinical feature.
• 7:48
  Speaker 1: Huh,
• 7:49
  Speaker 0: a clinical feature?
• 7:50
  Speaker 0: Yeah,
• 7:51
  Speaker 1: meaning if patients and doctors are hesitant, Adoption just stalls.
• 7:55
  Speaker 1: Doesn't matter how good the AI is.
• 7:57
  Speaker 1: So things like transparency, watching for bias, having clear audit trails they aren't nice to have, there are essential requirements now.
• 8:03
  Speaker 0: And secret birds.
• 8:03
  Speaker 0: van Roysen backed this up, laying out those specific ethical risks.
• 8:07
  Speaker 0: bias in the algorithms, data privacy, safety, who's liable if something goes wrong.
• 8:12
  Speaker 0: The consensus on prevention seems pretty clear.
• 8:14
  Speaker 0: You need strong governance rules, really rigorous testing and validation, and a big push to educate both clinicians and patients about AI.
• 8:21
  Speaker 1: And speaking of rigor, the AI itself is getting, well, smarter, more capable.
• 8:26
  Speaker 1: Jan Bigger pointed out that AI tools are quickly evolving into something called agentic AI.
• 8:32
  Speaker 1: Now, for those not familiar, agentic AI refers to systems that are more autonomous, more adaptive.
• 8:37
  Speaker 1: They don't just process data.
• 8:39
  Speaker 1: They can actually reason, plan, and act with less direct human input.
• 8:44
  Speaker 1: Think of them like semi-independent assistants.
• 8:47
  Speaker 0: So systems with agency, basically, how are they actually being used in clinics now?
• 8:51
  Speaker 1: Well, they're starting to combine different types of data, text notes, images, vital signs to help with complex stuff like suggesting differential diagnoses.
• 8:59
  Speaker 1: We're also seeing them begin to assist in robotic surgery, maybe by translating a surgeon's spoken commands into precise movements.
• 9:06
  Speaker 1: The point is, the AI is doing more than just summarizing.
• 9:09
  Speaker 1: It's starting to actively participate or intervene.
• 9:12
  Speaker 0: Okay, that definitely makes the underlying data infrastructure even more critical, especially somewhere like Europe, with its strict data sovereignty rules.
• 9:19
  Speaker 0: Dr.
• 9:20
  Speaker 0: Christian Lofert shared news about Deutsche Telekom actually acquiring a company, Synedra ITGMBH.
• 9:26
  Speaker 0: What's the strategy behind that move?
• 9:27
  Speaker 1: The goal is explicitly to build a sovereign interoperable platform for medical data across Europe.
• 9:34
  Speaker 1: This is foundational work.
• 9:36
  Speaker 1: As this agentic AI gets more powerful and acts more independently, you absolutely need secure, meaningful and crucially trustworthy ways for data to flow between different systems and countries.
• 9:48
  Speaker 1: It's a big investment saying control and trust over the data itself have to come first before you deploy the really advanced AI.
• 9:55
  Speaker 0: Right?
• 9:55
  Speaker 0: Okay.
• 9:56
  Speaker 0: Let's shift gears slightly for our last theme.
• 9:58
  Speaker 0: Theme four.
• 9:59
  Speaker 0: Remote monitoring, virtual care, and consumer empowerment.
• 10:02
  Speaker 0: How care is successfully moving beyond the hospital or clinic walls?
• 10:07
  Speaker 0: What's the current state of virtual care?
• 10:08
  Speaker 0: Is it maturing?
• 10:10
  Speaker 1: It definitely seems solidified as a core part of healthcare delivery now.
• 10:13
  Speaker 1: Teledoc Health got named Outstanding IntelliHealth by Time Magazine.
• 10:16
  Speaker 1: Chuck DeVita highlighted that.
• 10:18
  Speaker 1: It's not exactly breaking news anymore, but it does signal mainstream acceptance.
• 10:22
  Speaker 0: But it feels like the market's getting more sophisticated than just simple video calls, right?
• 10:26
  Speaker 0: Grant Kohler mentioned Teladoc is now using a tool to help hospitals actually assess their whole virtual care tech stack to find gaps maybe where they have duplicate systems.
• 10:36
  Speaker 0: That sounds like organizations are moving past just reacting and deploying towards strategically optimizing what they've got.
• 10:43
  Speaker 1: Absolutely.
• 10:44
  Speaker 1: They need to figure out what tools they actually have and how they all fit together or don't.
• 10:49
  Speaker 1: And at the same time, we're seeing patient safety almost being crowdsourced through wearables and continuous monitoring.
• 10:55
  Speaker 1: Mark D. E. Martini pointed this out.
• 10:57
  Speaker 1: Devices like those from Corsano Health let patients and their caregivers flag concerns immediately.
• 11:02
  Speaker 0: Ah, so it shifts some of that continuous monitoring burden away from staff and onto the device, empowering the patient.
• 11:09
  Speaker 0: Precisely.
• 11:09
  Speaker 1: It could significantly boost safety because you get proactive intervention potentially anywhere at home, at work, not just when the patient is physically inside the hospital.
• 11:19
  Speaker 0: So if tech is empowering consumers like this, where does it ultimately lead for the informed, connected patient?
• 11:26
  Speaker 0: Verily, Alphabet's Life Sciences Company, they made... Quite a big announcement recently aimed right at that end user.
• 11:32
  Speaker 1: Yeah, Verily launched a major sort of three prong strategic initiative.
• 11:36
  Speaker 1: Posts from Steven G, Tyler Trug and Eric Lack covered this.
• 11:40
  Speaker 1: First, there's Verily ME.
• 11:42
  Speaker 1: That's the app the consumer uses the front end.
• 11:45
  Speaker 1: It gives personalized health recommendations based on pulling together the patient's records.
• 11:49
  Speaker 1: It even has an AI companion called Violet.
• 11:51
  Speaker 0: Okay, so a consumer app tied to a personal health profile.
• 11:54
  Speaker 0: What were the other parts?
• 11:56
  Speaker 1: The second piece is the lifelong health study.
• 11:58
  Speaker 1: Basically, a huge research registry to feed data into their AI models.
• 12:03
  Speaker 1: And third, they launched Verily Pre.
• 12:05
  Speaker 1: Now, this is the critical internal piece.
• 12:06
  Speaker 1: It's their AI native precision health platform.
• 12:10
  Speaker 1: Think of Pre as the engine room, the secure governed back end designed to power all their different solutions.
• 12:16
  Speaker 1: The whole thing is a very clear strategic play towards predictive, preventive, personalized care delivered straight to the consumer.
• 12:24
  Speaker 1: And notably, they emphasized building that governance platform first.
• 12:28
  Speaker 1: So if we pull these four themes together, what's the big picture from this deep dive?
• 12:32
  Speaker 1: Well, we've definitely seen a clear industry shift towards tangible integration.
• 12:36
  Speaker 1: It's about making things work now.
• 12:37
  Speaker 1: AI giving nurses back time, quantum speeding up scans, and this huge effort really to rebuild the architecture, whether it's Europe's sovereign data push or Verily's pre-platform to create the public trust needed for this stuff to really scale.
• 12:50
  Speaker 0: If you enjoyed this deep dive, new episodes drop every two weeks.
• 12:53
  Speaker 0: Also check out our other editions on ICT and tech insights, defense tech, cloud, digital products and services, artificial intelligence and sustainability in green ICT.
• 13:02
  Speaker 1: And a final provocative thought for you.
• 13:04
  Speaker 1: We see huge companies like Oracle embedding advanced AI, maybe even GPT-V level tech across all their applications.
• 13:11
  Speaker 1: Agenic AI is starting to pop up everywhere from ICUs to genomics research.
• 13:17
  Speaker 1: So the question is, how quickly can that essential foundational work the governance, the AI literacy that people like Simon Philip Rost flagged as critical needs.
• 13:26
  Speaker 1: How quickly can that realistically catch up with the sheer speed of deployment we're seeing right now across global health care?
• 13:32
  Speaker 0: Thank you for joining us for this deep dive.
• 13:33
  Speaker 0: Don't forget to subscribe.