“What’s not going to change in the next ten years?” (via Pedro de Bruyckere’s “From experience to meaning” blog)

I normally hate Twitter “threads”, which often seem all too pompous, tendentious, and flat out wrong. But here’s a good one, via Via Pedro de Bruyckere’s From Experience to Meaning blog.  And it is also a thread that makes me think a little better of Jeff Bezos.  Here’s the beginning :

 

When I read the first tweet of this thread by Benjamin Riley I had the feeling we were up to something good. And Benjamin didn’t disappoint. I won’t make it into a habit of posting something like this on this blog, but I do wanted to share this here as I know that many of my readers would otherwise miss this:

Benjamin Riley@benjaminjriley

Please forgive me for the following tweet thread (not to say tirade) that will attempt to connect Jeff Bezos, , predicting the future, and cognitive science together. Get ready!

Benjamin Riley@benjaminjriley

First, here’s the quote from Jeff Bezos about building a business when the future is uncertain (it’ll take a few tweets): “”I very frequently get the question: ‘What’s going to change in the next 10 years?’ And that is a very interesting question; it’s a very common one…”

Benjamin Riley@benjaminjriley

Bezos continues: “I almost never get the question: ‘What’s not going to change in the next 10 years?’ And I submit to you that that second question is actually the more important of the two — because you can build a business strategy around the things that are stable in time.”

Presentation by Pedro de Bruyckere: Urban Myths about Learning and Technology

An excellent presentation by Pedro De Bruyckere, co author of the recent paper on the myth of the digital native I blogged about before… “I believe in education, I believe in teachers… but do I believe in technology in education? It depends”

Obviously these are slides which can’t compete with the real thing and clearly Pedro de Bruyckere has a rich sense of humour!

From experience to meaning...

This is the presentation I gave at the National ResearchED conference, September 9 2017. The presentation is in part based on our book Urban Myths about Learning and Education and in part based on the recent article I co-wrote with Paul Kirschner published in Teaching and Teacher Education (yes the one that was mentioned in Nature).

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“Happy Organisations and Happy Workers” – blog post by Maria Quinlan

On the ARCH (Applied Research in Connected Health) website, research lead Dr Maria Quinlan  has a blog post entitled
“Happy Organisations and Happy Workers – a key factor in implementing digital health”

The whole is worth a read. Of course, having a happy organisation made up of happy workers is inherently important of itself, as well as from the point of view of implementing digital health. As Dr Quinlan writes in the first paragraph:

To paraphrase Tolstoy, “all happy organisations are alike; each unhappy organisation is unhappy in its own way.” The ability for healthcare organisations to innovate is a fundamental requirement for adopting and sustainably scaling digital health solutions.  If an organisation is unhappy, for example if it is failing to communicate openly and honestly, if staff feel overworked and that their opinion isn’t valued, it stands to reason that it will have trouble innovating and handling major complex transitions.

Reading this, I am struck by how important it is to make time in a day with an accumulation of pressing demands for reflection:

 

What these factors combine to achieve is happy, engaged workers – and happy workers are more effective, compassionate, and less likely to suffer burnout [2]. Clear objectives, praise, a sense that your voice matters – these can seem like fluffy ‘soft’ concepts and yet they are found over and over to be central to providing the right context within which new digital health innovations can flourish. Classic ‘high involvement’ management techniques – for example empowering team members to make decisions and not punishing them for every misstep are found to be key [1].  As Don Berwick of the Institute of Healthcare Improvement (IHI) says, people who feel joy in work are “not scared of data”, rather “joy is a resource for excellence” [3]

Managing what Sigal Barsade, Professor of Management at Wharton calls the ‘emotional’ culture of an organisation is a very important concept – especially in the healthcare environment which expects so much of staff [4]. Healthcare workers face pressures which many of us working in other fields can’t really comprehend, a recent systematic review found that clinicians have higher rates of suicidal ideation than the general population, with a high prevalence of burnout, psychiatric morbidity and depression linked to excessive workload [5].  Attempting to introduce innovative new ways of working within such constrained environments can be challenging to say the least. Exhausted workers, those with little time in their day for reflection, or those who work in organisations which fear failure are less likely to innovate [6].

Much of the rhetoric around healthcare innovation tends to be messianic in tone. A gap between this rhetoric and the messy, pressured reality of healthcare can diminish the credibility of innovators.

The concept of “adaptive reserve” is an important one, especially in the context of reforms and innovations being introduced into already pressured environments:

Drawing from their work researching healthcare organisations ability to handle complex transitions in the US, Jaen et al (2010) developed a 23-item scale measure for what they term ‘adaptive reserve’. Adaptive reserve is an internal capability for change which includes being agile; capable of continuous learning; and being adept at self-assessment, reflection and improvisation. The Adaptive Reserve questionnaire asks staff to rate their organisation according to a variety of statements which include statements such as; ‘we regularly take time to consider ways to improve how we do things’ and ‘this organisation is a place of joy and hope’.

Overall, this a fascinating blog post on an issue which is close to my heart. I intend to post some more on this topic over the next while.

 

“Huge ($$), broken, and therefore easily fixed” : re-reading Neil Versel’s Feb 2013 column “Rewards for watching TV vs rewards for healthy behavior”

Ok, it may seem somewhat arbitrary to bring up a column on MobiHealthNews, a website which promises the latest in digital health news direct to your inbox. However this particular column, and also some of the responses which Versel provoked (collected here), struck a chord with me at the time and indeed largely inspired my presentation at this workshop at the 2013 eChallenges conference.

In 2012 I had beta tested a couple of apps in the general health field (I won’t go into any more specifics) – none of which seemed clinically useful. My interest in healthcare technology had flowed largely from my interest in technology in medical education. Versel’s column, and the comments attributed to “Cynical” in the follow up column by Brian Dolan, struck a chord. I also found they transcended the often labyrinthine structures of US Healthcare.

The key paragraph of Versel’s original column was this

What those projects all have in common is that they never figured out some of the basic realities of healthcare. Fitness and healthcare are distinct markets. The vast majority of healthcare spending comes not from workout freaks and the worried well, but from chronic diseases and acute care. Sure, you can prevent a lot of future ailments by promoting active lifestyles today, but you might not see a return on investment for decades.

..but an awful lot of it is worth quoting:

Pardon my skepticism, but hasn’t everyone peddling a DTC health tool focused on user engagement? Isn’t that the point of all the gamification apps, widgets and gizmos?

I never was able to find anything unique about Massive Health, other than its Massive Hype. It had a high-minded business name, a Silicon Valley rock star on board — namely former Mozilla Firefox creative lead Asa Raskin — and a lot of buzz. But no real breakthroughs or much in the way of actual products.

….

Another problem is that Massive Health, Google Health, Revolution Health and Keas never came to grips with the fact that healthcare is unlike any other industry.

In the case of Google and every other “untethered” personal health record out there, it didn’t fit physician workflow. That’s why I was disheartened to learn this week that one of the first twodevelopment partners for Walgreens’ new API for prescription refills is a PHR startup called Healthspek. I hate to say it, but that is bound to fail unless Walgreens finds a way to populate Healthspek records with pharmacy and Take Care Health System clinic data.

Predictably enough, there was a strong response to Versel’s column. Here is Dr Betsy Bennet:

As a health psychologist with a lot of years in pharma and healthcare, I am continually frustrated with the hype that accompanies most “health apps”. Not everyone enjoys computer games, not everyone wants to “share” the issues they’re ashamed of with their “social network”, not everyone is interested in being a “quantified self”. This is not to say that digital health is futile or a bad idea. But if we took the time to understand why so many doctors hate EHRs and patients are not interested in paying to “manage their health information” (What does that mean, anyway?) we would come a long way towards finding digital interventions that people actually want to use.

 

The most trenchant (particularly point 1) comment was from “Cynical”

Well written. This is one of the few columns (or rants) that actually understands the reality of healthcare and digital health (attending any health care conference will also highlight this divide). What I am finding is two fold:

1. The vast majority of these DTC products are created by people who have had success in other areas of “digital” – and therefore they build what they know – consumer facing apps / websites that just happen to be focused in health. They think that healthcare is huge ($$), broken, and therefore easily fixed using the same principals applied to music, banking, or finding a movie. But they have zero understanding of the “business of healthcare”, and as a result have no ability to actually sell their products into the health care industry – one of the slowest moving, convoluted, and cumbersome industries in the world.

2. Almost none of these products have any clinical knowledge closely integrated — many have a doctor (entrepreneur) on the “advisory board”, but in most cases there are no actual practicing physicians involved (physician founders are often still in med school, only practiced for a limited time, or never at all). This results in two problems – one of which the author notes – no understanding of workflow; the other being no real clinical efficacy for the product — meaning, they do not actually improve health, improve efficiency, or lower cost. Any physician will be able to lament the issues of self-reported data…

Instead of hanging out at gyms or restaurants building apps for diets or food I would recommend digital health entrepreneurs hang out in any casino in America around 1pm any day of the week – that is your audience. And until your product tests well with that group, you have no real shot.

This perspective from Jim Bloedau is also worth quoting., given how much of the rhetoric on healthcare and technology is focused on the dysfunctionality of the current system:

Who likes consuming healthcare? Nobody. How many providers have you heard say they wish they could spend more time in the office? Never. Because of this, the industry’s growth has been predicated on the idea that somebody else will do it all for me – employers will provide insurance and pay for it, doctors will provide care. This is also the driver of the traditional business model for healthcare that many pundits label as a “dysfunctional healthcare system.” Actually, the business of healthcare has been optimized as it has been designed – as a volume based business and is working very well.

Coming up to four years on, and from my own point of viewing having had further immersion in the health IT world, how does it stack up? Well, for one thing I seem not to hear the word “gamification” quite that much. There seems to be a realisation that having “clinical knowledge closely integrated” is not a nice to have have but an absolute sine qua non. Within the CCIO group and from my experience of the CCIO Summer school, there certain isn’t a sense that healthcare is going to be “easily fixed” by technology. Bob Wachter’s book and report also seem to have tempered much hype.

Yet an awful lot of Versel’s original critique and the responses he provoked still rings true about the wider culture and discussion of healthcare and technology, not in CCIO circles in my experience but elsewhere. There is still often a rather  inchoate assumption that the likes of the FitBit will in some sense transform things. As Cynical states above, in the majority of cases self-reported data is something there are issues with, (there are exceptions such as mood and sleep diaries, and Early Warning Signals systems in bipolar disorder, but there too a simplicity and judiciousness is key)

Re-reading his blog post I am also struck by his  lede, which was that mobile tech has enabled what could be described as the Axis of Sedentary to a far greater degree than it has enable the forces of exercise and healthy eating. Versel graciously spent some time on the phone with me prior to the EuroChallenges workshop linked to above and provided me with very many further insights. I would be interested to know what he makes of the scene outlined in his column now.