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#AIChat (Jul 4/18)

A summary of the key ideas in today’s AIChat with Roxana Nasoi. Talking #AI and its impact on the medical field.
Nick Tang Jul 4
Let’s start with Q1) for How can be used in the healthcare or medical field?
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Roxana Nasoi Jul 4
Replying to @nickhtang @nigewillson
A1: First off, it can become a support for doctors. As we saw with Microsoft's AI trial to transcribe doctor's patient visits. cc
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Roxana Nasoi Jul 4
A1: AI can also be used to analyze patient experience and compile reports using patient experience, IoT data, trackers data, scientific data - like we use it in our ecosystem,
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Nick Tang Jul 4
A1 followup. How does group health more efficient?
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Roxana Nasoi Jul 4
I have prepared some additional points where we take AI+healthcare to a whole new level. As a brief explanation, is a digital healthcare ecosystem backed by AI and . We bridge relations between patients, doctors, hospitals, insurance, pharma, IoT
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BrainBlender🤔🌐 Jul 4
Replying to @nickhtang @roxanasoi
A1 is already being used in from home diagnostics to streamlining patient experiences as well as offering alternate solutions based on global physicalitys that 1 person can’t see as has all the specialties 🤔
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Nige Willson Jul 4
Replying to @roxanasoi @nickhtang
is already everywhere and everything - so important that we use it now for good and has to be the key area that can benefit all of us !
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Angel, RYT, MS, CRNP Jul 4
For sure!! And there is a subset of the population that would be absolutely happy with that kind of care delivery. I, personally, haven't found that population. My client base is a demographic still wants human interaction.
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PRKSheehan Jul 4
and also ensuring the data fed back is accurate, particularly where it dictates drug/medication usage/key decisions
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𝕋𝕣𝕚𝕔𝕚𝕒 𝔸. ℍ𝕠𝕨𝕒𝕣𝕕🦄🎭 headed to #XFD2! Jul 4
So true. Again, it comes down to comfortability with the tech. A lot of people wouldn’t be okay sharing all of their health data from their watch back to the hospital/practitioner. The biggest roadblock will be adoption.. until the younger generations come along.
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Roxana Nasoi Jul 4
Replying to @nickhtang
What do you think are the main use-cases of in healthcare? I'll explain more in the following tweets, of course. As always, love additional insights.
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Jan Barbosa 🐝 Jul 4
Replying to @roxanasoi @nickhtang
Screening tests for second opinions on the spot 🤔👍👍👍 even in remote areas 🤔💯
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Roxana Nasoi Jul 4
Replying to @nickhtang
A1: can also become a pillar for research and treatment development. Its power to identify potential gaps in medical trials is massive.
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Roxana Nasoi Jul 4
Replying to @nickhtang
A1: has multiple use-cases in healthcare and medicine. I'll briefly walk through some of them today
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Nick Tang Jul 4
As you’re talking on Q1, let’s post Q2 for ! How can help the patient?
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Roxana Nasoi Jul 4
A2. AI-based health data mining for personalized healthcare services
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BrainBlender🤔🌐 Jul 4
Replying to @nickhtang @roxanasoi
A2 can help the patient by giving a 99% accurate diagnostic in real time with precursors & options mobility which can have rippling effects😎
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Jan Barbosa 🐝 Jul 4
Replying to @roxanasoi
A2 same as for !!!! It allows for personalization and we know everyone is different with different possible treatments available !!! Think + genetics vs !!!!
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Roxana Nasoi Jul 4
A2. Also, we're seeing in terms of an increased demand in computer vision and augmented reality. This confirms that virtual reality will be part of our lives, and beyond games, and into health and wellness.
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Roxana Nasoi Jul 4
A2. But not only that. Provide patients with tailored help in pre-surgery, pre-treatment, post-recovery post-treatment. Massively important!
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♈️ico! @Ericsson 🇧🇷🇮🇹🇺🇸🇦🇷📶 Jul 4
Replying to @JBarbosaPR @roxanasoi
Personal treatment is great, we are seeing how genetic tests are coming down in price and time! We also learned depression drugs needs to be adjusted case by case! All that should be results!
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Roxana Nasoi Jul 4
A2. AI could also educate and inform the patient on the latest discoveries regarding specific health conditions, signal alarms related to patient wellbeing, and help disabled patients carry on with life on a normal basis
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Roxana Nasoi Jul 4
A2. Provide patients an insightful perspective on a specific health condition, from side-effects to treatments, to tracker data reports, scientific discoveries through a complex report (also something we're doing with )
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Roxana Nasoi Jul 4
A2. provide patients with remote care and diagnosis when a human doctor isn't available (something we're thinking of providing inside the ecosystem) - Because we can! Hehe
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BrainBlender🤔🌐 Jul 4
Or provide a Dr through interactive & home testing like through DigiDoc which is a interactive bathroom mirror which through peripherals can do 144 tests & once connected be up to the second with real time diagnostic updates🌐 Exciting times😎
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Roxana Nasoi Jul 4
A2. I'm also thinking "AI assistants for online prescriptions & online pharmacies". Last week the cofounders of Aimedis participated in an initiative called "Hospitals of Tomorrow" in Germany.
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Roxana Nasoi Jul 4
A2. (continuing) We're looking at a digitalization of healthcare, in order to save time, money, and deliver proper services. Only a matter of time until patients will be able to access virtual pharmacies&drug stores and select their choice.
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Roxana Nasoi Jul 4
Replying to @nickhtang
They're actually becoming more patient centered. That's what I see at exhibitions among startups at events and conferences.
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BrainBlender🤔🌐 Jul 4
Replying to @roxanasoi @nickhtang
Yes it’s becoming more about self diagnostics & walk up self care which is really surging throughout 🤔
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Nick Tang Jul 4
While you’re talking Q2, here’s Q3 for (don’t worry everyone, there is a theme :-) How can help the doctor?
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Roxana Nasoi Jul 4
A3. Where to start? Ai can help extract info from patients' electronic health records
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Jan Barbosa 🐝 Jul 4
Replying to @roxanasoi
A3. meets tech 🤔 always records at hand 👍
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Roxana Nasoi Jul 4
A3. AI helps extract info from patient prescriptions - gives doctors an overview of what his/her patients use in terms of medication. This is what we're also looking into with our AI currently in the ecosystem
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Roxana Nasoi Jul 4
A3. Similar to A2, AI-based health data mining for personalized healthcare services. That's important not just for the patient, but also for the other parties implicated (doctor, hospital, pharma).
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♈️ico! @Ericsson 🇧🇷🇮🇹🇺🇸🇦🇷📶 Jul 4
Replying to @nickhtang
I like the good use cases of for insurance companies! Everything that could predict and fix failure is good! I’m worried about bad use! Like not giving treatment for potential dying patients!
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Roxana Nasoi Jul 4
A3. Combined with IoT, AI can provide doctors with real-time insights into information from pacemakers and biochips. Gotta love mixing and .
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Nick Tang Jul 4
As you’re talking on Q3, here’s Q4 for Do you see disrupting the pharma and insurance fields? How?
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Roxana Nasoi Jul 4
A4. Usage-based insights so that costs of insurance are addressed in the right manner: people who are healthier, more active, less exposed to accidents, illness, risks should pay less. Optimization and targetting of insurance costs per customer journey map
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Roxana Nasoi Jul 4
A4. + : provide pharma and insurance with a clear customer persona, customer experience, ability to detect fraud at a fraction of second, ability to match-make services and solutions at a fraction of a second
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Roxana Nasoi Jul 4
A4. Trends we currently see in the relation Insurance - AI - Pharma: moving from proxy to data source, where AI becomes a disruptor. I've lately seen it compared to the disruption of financial sector by Big Data.
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Roxana Nasoi Jul 4
A4. A specific case where I see this disruption relevant, in terms of insurance - AI: let's say a skiing accident occurs in the Alps. Trackers send immediate vital data to the AI. (see next tweet for continuation)
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Roxana Nasoi Jul 4
A4. Continuing with the example... AI detects an annomaly in patient data stream. Sends a notice to insurer company predicting an accident on data xyz. By the time patient reaches hospital, hospital knows patient is fully covered for skiing accidents.
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Roxana Nasoi Jul 4
A4. To put it out there: AI is disrupting industries by finding insights in terabytes of data
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Roxana Nasoi Jul 4
A4. As we start using and implementing it, we'll see how these use-cases will unravel. May hit us hard in the face, or warm our hearts.
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BrainBlender🤔🌐 Jul 4
Replying to @roxanasoi
A4 Not only that but now with Amazon acquisition of pill pack it will greatly reduce pharma cost through whole system diagnostics chains from Alexa.. diagnostics to door front delivery 🚑
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Melissa A.🦉 Jul 4
Yes to all of this. When it comes to / solutions we should ensure that solutions are accessible to ALL & not just a few. Big challenge but important.
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