AI good, AI bad. Perhaps a little of both?

August 1, 2017 | by

Everyone’s getting hot ‘n’ bothered about AI this summer. There’s a clash of giants–Elon Musk, who makes expensive, Federally subsidized electric cars which don’t sell, and Mark Zuckerberg, a social media mogul who fancies himself as a social policy guru–in a current snipe-fest about AI and the risk it presents. Musk, who is a founder of the big-name Future of Life Institute which ponders on AI safety and ethical alignment for beneficial ends, and Zuckerberg, who pooh-poohs any downside, are making their debate points and a few headlines. However, we like to get down to the concretes and here we will go to an analysis of a report by Forrester Research on AI in the workforce. No, we are not about to lose our jobs, yet, but hold on for the top six in the view of Gil Press in Forbes:

  1. Customer self-service in customer-facing physical solutions such as kiosks, interactive digital signage, and self-checkout.
  2. AI-assisted robotic process automation which automates organizational workflows and processes using software bots.
  3. Industrial robots that execute tasks in verticals with heavy, industrial-scale workloads.
  4. Retail and warehouse robots.
  5. Virtual assistants like Alexa and Siri.
  6. Sensory AI that improves computers’ recognition of human sensory faculties and emotions via image and video analysis, facial recognition, speech analytics, and/or text analytics.
[grow_thumb image=”https://telecareaware.com/wp-content/uploads/2017/08/AI.jpg” thumb_width=”200″ /]For our area of healthcare technology, look at #5 and #6 first–virtual assistants leveraging the older adult market like 3rings‘ interface with Amazon Echo [TTA 27 June] and sensory AI for recognition tools with broad applications in everything from telehealth to sleepytime music to video cheer-up calls. Both are on a ‘significant success’ track and in line to hit the growth phase in 1-3 years (illustration at left, click to expand).

Will AI destroy a net 7 percent of US jobs by 2027? Will AI affect only narrow areas or disrupt everything? And will we adapt fast enough? 6 Hot AI Automation Technologies Destroying And Creating Jobs (Forbes)

But we can de-stress ourselves with AI-selected music now to soothe our savage interior beasts. This Editor is testing out Sync Project’s Unwind, which will help me get to sleep (20 min) and take stress breaks (5 min). Clutching my phone (not my pearls) to my chest, the app (available on the unwind.ai website) detects my heart rate (though not giving me a reading) through machine learning and gives me four options to pick on exactly how stressed I am. It then plays music with the right beat pattern to calm me down. Other Sync Project applications with custom music by the Marconi Union and a Spotify interface have worked to alleviate pain, sleep, stress, and Parkinson’s gait issues. Another approach is to apply music to memory issues around episodic memory and memory encoding of new verbal material in adults aging normally. (Zzzzzzzz…..) Apply.sci, Sync Project blog

Health and tech news that’s a snooze–or infuriating

May 26, 2017 | by

The always acerbic Laurie Orlov has a great article on her Aging in Place Technology Watch that itemizes five news items which discuss the infuriating, the failing, or downright puzzling that affect health and older adults. In the last category, there’s the ongoing US Social Security Administration effort to eliminate paper statements and checks with online and direct deposit only–problematic for many of the oldest adults, disabled and those without reasonable, secure online access–or regular checking accounts. The infuriating is Gmail’s latest ‘upgrade’ to their mobile email that adds three short ‘smart reply’ boxes to the end of nearly every email. Other than sheer laziness and enabling emailing while driving, it’s not needed–and to turn it off, you have to go into your email settings. And for the failing, there’s IBM. There’s the stealth layoff–forcing their estimated 40 percent of remote employees to relocate to brick-and-mortar offices or leave, while they sell remote working software. There’s a falloff in revenue meaning that profits have to be squeezed from a rock. And finally there’s the extraordinarily expensive investment in Watson and Watson Health. This Editor back in February [TTA 3 and 14 Feb] noted the growing misgivings about it, observing that focused AI and simple machine learning are developing quickly and affordably for healthcare diagnostic applications. Watson Health and its massive, slow, and expensive data crunching for healthcare decision support are suitable only for complex diseases and equally massive healthcare organizations–and even they have been displeased, such as MD Anderson Cancer Center in Houston in February (Forbes). Older adults and technology – the latest news they cannot use

Want to attract Google Ventures to your health tech? Look to these seven areas.

May 23, 2017 | by

The GV Hot 7, especially the finally-acknowledged physician burnout. Google Ventures’ (GV) Dr. Krishna Yeshwant, a GV general partner leading the Life Sciences team, is interested in seven areas, according to his interview in Business Insider (UK):

  • Physician burnout, which has become epidemic as doctors (and nurses) spend more and more time with their EHRs versus patients. This is Job #1 in this Editor’s opinion.

Dr. Yeshwant’s run-on question to be solved is: “Where are the places where we can intervene to continue getting the advantages of the electronic medical record while respecting the fact that there’s a human relationship that most people have gotten into this for that’s been eroded by the fact that there’s now a computer that’s a core part of the conversation.” (Your job–parse this sentence!–Ed.)

Let’s turn to Dr. Robert Wachter for a better statement of the problem. This Editor was present for his talk at the NYeC Digital Health Conference [TTA 19 Jan] and these are quoted from his slides: “Burnout is associated with computerized order entry use and perceived ‘clerical burden’ [of EHRs and other systems]”. He also cites the digital squeeze on physicians and the Productivity Paradox, noted by economist Robert Solow as “You can see the computer age everywhere except in the productivity statistics.” In other words, EHRs are a major thief of time. What needs to happen? “Improvements in the technology and reimagining the work itself.” Citing Mr. Solow again, the Productivity Paradox in healthcare will take 15-20 years to resolve. Dr. Wachter’s talk is here. (more…)

Babylon Health ‘chatbot’ triage AI app raises £50 million in funding (UK)

April 26, 2017 | by | 8 Comments

[grow_thumb image=”https://telecareaware.com/wp-content/uploads/2017/04/babylon_lifestyle2.jpg” thumb_width=”150″ /]Babylon Health, which has developed an AI-assisted chatbot to triage a potential patient in minutes, has raised a serious Series B of £50 million (US$60 million). Funders were Kinnevik AB, which had led the Series A, NNC Holdings, and Vostok New Ventures (Crunchbase). According to the FT (through TechCrunch), Babylon’s value is now north of $200 million. Revenues were not disclosed.

The current app uses texts to determine the level of further care, recommends a course of action, then connects the user if needed to a virtual doctor visit, or if acute to go to Accident & Emergency (US=emergency room or department). It also follows up with the user on their test results and health info. The funding will be used to enhance their current AI to extend to diagnosis. They are accumulating daily data on thousands of patients, machine learning which further refines the AI. Founder Dr. Ali Parsa, founder and CEO of Babylon, said in a statement. “Babylon scientists predict that we will shortly be able to diagnose and foresee personal health issues better than doctors, but this is about machines and medics cooperating, not competing.” Like other forms of telemedicine and triage (Zipnosis in health systems), it is designed to put healthcare access and affordability, as they claim, “into the hands of every person on earth”. The NHS pilot in north London [TTA 18 Jan] via the 111 hotline is testing Babylon as a ‘reliever’ though it directs only to a doctor appointment, not a video consult. BBC News, Mobihealthnews

AI as patient safety assistant that reduces, prevents adverse events

March 15, 2017 | by

The 30 year old SXSW conference and cultural event has been rising as a healthcare venue for the past few years. One talk this Editor would like to have attended this past weekend was presented by Eric Horvitz, Microsoft Research Laboratory Technical Fellow and managing director, who is both a Stanford PhD in computing and an MD. This combination makes him a unique warrior against medical errors, which annually kill over 250,000 patients. His point was that artificial intelligence is increasingly used in tools that are ‘safety nets’ for medical staff in situations such as failure to rescue–the inability to treat complications that rapidly escalate–readmissions, and analyzing medical images.

A readmissions clinical support tool, RAM (Readmissions Management), he worked on eight years agon, produced now by Caradigm, predicts which patients have a high probability of readmission and those who will need additional care. Failure to rescue often results from a concatenation of complications happening quickly and with a lack of knowledge that resemble the prelude to an aircraft crash. “We’re considering [data from] thousands of patients, including many who died in the hospital after coming in for an elective procedure. So when a patient’s condition deteriorates, they might lose an organ system. It might be kidney failure, for example, so renal people come in. Then cardiac failure kicks in so cardiologists come in and they don’t know what the story is. The actual idea is to understand the pipeline down to the event so doctors can intervene earlier.” and to understand the patterns that led up to it. Another is to address potential problems that may be outside the doctor’s direct knowledge field or experiences, including the Bayesian Theory of Surprise affecting the thought process. Dr Horvitz discussed how machine learning can assist medical imaging and interpretation. His points were that AI and machine learning, applied to thousands of patient cases and images, are there to assist physicians, not replace them, and not to replace the human touch. MedCityNews

#HIMSS17 roundup: machine learning, Proteus, Soon-Shiong/NantWorks’ cancer vax, Uniphy Health, more

February 28, 2017 | by

HIMSS17 is over for another year, but there is plenty of related reading left for anyone who is not still recovering from sensory overload. There wasn’t big news made, other than Speaker John Boehner trying to have it both ways about what the House needs to do about replacing the failing ACA a/k/a Obamacare. Here’s our serving:

  • If you are interested in the diffusion of workflow technologies into healthcare, including machine learning and AI, there’s a long-form three-part series in Healthcare IT News that this Editor noted has suddenly become a little difficult to find–but we did. The articles also helpfully list vendors that list certain areas of expertise in their exhibitor keywords.
  • Mobihealthnews produced a two-page wrap up that links to various MHN articles where applicable. Of interest:
    • a wound measurement app that Intermountain Healthcare developed with Johns Hopkins spinoff Tissue Analytics
    • Children’s Health of Dallas Texas is using the Proteus Health ingestible med sensor with a group of teenaged organ post-transplant patients to improve med compliance
    • the Medisafe med management app has a new feature that alerts users to drug, food and alcohol interactions with their regimen, which is to this writer’s knowledge the first-ever med app to do this
    • Info security spending is rising, according to the Thales Data Threat Report. This year, 81 percent of U.S. healthcare organizations and 76 percent of global healthcare organizations will increase information security spending.
  • Healthcare and sports mogul Patrick Soon-Shiong presented on NantHealth‘s progress on a cancer vaccine that became a significant part of the former VP Joe Biden’s initiative, Cancer Breakthroughs 2020. Dr Soon-Shiong stated that the FDA has given approval to advance the vaccine into later clinical trials, and also unveiled Nant AI, an augmented intelligence platform to high-speed process genome activity of cancer tumors and the Nant Cloud, a cloud server which can generate bioinformatic data at 26 seconds per patient. This is in addition to the NantHealth GPS Cancer diagnostic tool used to isolate new mutations in a given tumor. HealthcareITNews MedCityNews takes a dimmer view, noting two recent cancer vaccine failures. Dimmer still is Stat’s takedown of Dr Soon-Shiong, which reportedly was the talk of HIMSS.
  • Leading up to HIMSS, Newark’s own Uniphy Health announced UH4, the latest generation of its enterprise-wide communications and clinical collaboration platform for hospitals and clinics to facilitate the ‘real-time health system’. Release

Not enough? DestinationHIMSS, produced by Healthcare IT News/HIMSS Media, has its usual potpourri of official reporting here.

Towards 2020: Big Tech developments predicted to impact healthcare delivery

February 14, 2017 | by | 2 Comments

[grow_thumb image=”https://telecareaware.com/wp-content/uploads/2017/02/Gartner-curve.png” thumb_width=”175″ /]Healthcare doesn’t stand outside major technology trends, and two we’ve covered extensively are machine learning and artificial intelligence (AI), which this Editor observed [TTA 3 Feb] may beat out Massive Data Crunchers like IBM Watson Health for many diagnoses. What has been ‘bubbling up’ in the past year is blockchain, the technology behind bitcoin which is a ‘distributed, secure transaction ledger’ that uses a private key. Each record block has an identifying hash that links each block into a virtual chain [TTA 16 July]. Brian Ahier, Director of Standards and Government Affairs at Medicity, Aetna’s data analytics/population health subsidiary, predicts in Health Data Management that both will be the Big Trends for the next three years, with a substantial discussion behind both, particularly AI (though citing global equity funding of $1.5 bn in AI for healthcare since 2012 seems a paltry reinforcement). There are links to two blockchain studies from Deloitte and IEEE (requires subscription or purchase) for further reference. Two other bonuses: a link to New School’s Melanie Swan’s blockchain blog with four potential uses in healthcare and a Gartner hype cycle chart (left above) identifying both machine learning and blockchain (distributed ledger) near the peak of the curve. His third trend, digital transformation, is less a trend than an admonition that our present business structures need to change, that they must realize the potential of fully utilizing data, and to consider the customer experience.