#digitalnatives and #edtech and #woolongong- The ‘digital natives’ debate: A critical review of the evidence. British Journal of Educational Technology, Bennett et al Feb 2008

I blogged the other day on a recent paper on the myth of the digital native. Here is another paper, by Sue Bennett, Karl Maton and Lisa Kervin, from nearly a decade ago, on the same theme – and equally trenchant:

The idea that a new generation of students is entering the education system has excited recent attention among educators and education commentators. Termed ‘digital natives’ or the ‘Net generation’, these young people are said to have been immersed in technology all their lives, imbuing them with sophisticated technical skills and learning preferences for which traditional education is unprepared. Grand claims are being made about the nature of this generational change and about the urgent necessity for educational reform in response. A sense of impending crisis pervades this debate. However, the actual situation is far from clear. In this paper, the authors draw on the fields of education and sociology to analyse the digital natives debate. The paper presents and questions the main claims made about digital natives and analyses the nature of the debate itself. We argue that rather than being empirically and theoretically informed, the debate can be likened to an academic form of a ‘moral panic’. We propose that a more measured and disinterested approach is now required to investigate ‘digital natives’ and their implications for education.

On an entirely different note, the authors are/were affiliated with the University of Woolongong. Recent days have seen the death of Geoff Mack, who wrote the song “I’ve Been Everywhere” Originally a list of Australian placenames :

The song inspired versions internationally – the best known being Johnny Cash’s and The Simpsons’ – but the wittiest alternative version is this (NB – Dapto is a few miles from Wollongong)

Anyway, back the digital natives. Bennet et al begin with a quote from Marcel Proust:

The one thing that does not change is that at any and every time it appears that there have been
‘great changes’.
Marcel Proust, Within a Budding Grove

The authors summarise what a digital native is supposed to be like – and the not exactly extensive evidence base for their existence:

The claim made for the existence of a generation of ‘digital natives’ is based on two
main assumptions in the literature, which can be summarised as follows:

1. Young people of the digital native generation possess sophisticated
knowledge of and skills with information technologies.
2. As a result of their upbringing and experiences with technology, digital natives have particular learning preferences or styles that differ from earlier generations of students.

In the seminal literature on digital natives, these assertions are put forward with limited
empirical evidence (eg, Tapscott, 1998), or supported by anecdotes and appeals to
common-sense beliefs (eg, Prensky, 2001a). Furthermore, this literature has been referenced,
often uncritically, in a host of later publications (Gaston, 2006; Gros, 2003;
Long, 2005; McHale, 2005; Skiba, 2005). There is, however, an emerging body of
research that is beginning to reveal some of the complexity of young people’s computer
use and skills.

No one denies that a lot of young people use a lot of technology – but not all:

In summary, though limited in scope and focus, the research evidence to date indicates
that a proportion of young people are highly adept with technology and rely on it for a
range of information gathering and communication activities. However, there also
appears to be a significant proportion of young people who do not have the levels of access or technology skills predicted by proponents of the digital native idea. Such generalisations about a whole generation of young people thereby focus attention on
technically adept students. With this comes the danger that those less interested and less able will be neglected, and that the potential impact of socio-economic and cultural factors will be overlooked. It may be that there is as much variation within the digital native generation as between the generations.

It is often suggested that children who are merrily exploring the digital world are ground down with frustration by not having the same access to computers in school. This is part of a more general (with familiar rhetoric for the health IT world) demand for transformation (the word “disruptive” in its modern usage had not quite caught on in 2008) As is often the case, the empirical evidence (and also, I would say, a certain degree of common sense) is not with the disrupters:

The claim we will now examine is that current educational systems must change in
response to a new generation of technically adept young people. Current students have
been variously described as disappointed (Oblinger, 2003), dissatisfied (Levin & Arafeh,
2002) and disengaged (Prensky, 2005a). It is also argued that educational institutions
at all levels are rapidly becoming outdated and irrelevant, and that there is an urgent
need to change what is taught and how(Prensky, 2001a; Tapscott, 1998). For example,
Tapscott (1999) urges educators and authorities to ‘[g]ive students the tools, and they
will be the single most important source of guidance on how to make their schools relevant and effective places to learn’ (p. 11).Without such a transformation, commentators
warn, we risk failing a generation of students and our institutions face imminent

However, there is little evidence of the serious disaffection and alienation among students
claimed by commentators. Downes’ (2002) study of primary school children
(5–12 years old) found that home computer use was more varied than school use and
enabled children greater freedom and opportunity to learn by doing. The participants
did report feeling limited in the time they were allocated to use computers at school and
in the way their use was constrained by teacher-directed learning activities. Similarly,
Levin and Arafeh’s (2002) study revealed students’ frustrations at their school Internet
use being restricted, but crucially also their recognition of the school’s in loco parentis
role in protecting them from inappropriate material. Selwyn’s (2006) student participants
were also frustrated that their freedom of use was curtailed at school and ‘were
well aware of a digital disconnect but displayed a pragmatic acceptance rather than the
outright alienation from the school that some commentators would suggest’ (p. 5).

In 2008 Bennett et al summarised similar issues relating to students actual rather than perceived technical adeptness and net savviness to the 2016 authors:

Furthermore, questions must be asked about the relevance to education of the everyday
ICTs skills possessed by technically adept young people. For example, it cannot be
assumed that knowing how to look up ‘cheats’ for computer games on the Internet
bears any relation to the skills required to assess a website’s relevance for a school
project. Indeed, existing research suggests otherwise. When observing students interacting
with text obtained from an Internet search, Sutherland-Smith (2002) reported
that many were easily frustrated when not instantly gratified in their search for immediate
answers and appeared to adopt a ‘snatch and grab philosophy’ (p. 664). Similarly,
Eagleton, Guinee and Langlais (2003) observed middle-school students often making
‘hasty, random choices with little thought and evaluation’ (p. 30).
Such research observes shallow, random and often passive interactions with text,which
raise significant questions about what digital natives can actually do as they engage
with and make meaning from such technology. As noted by Lorenzo and Dziuban
(2006), concerns over students’ lack of critical thinking when using Internet-based
information sources imply that ‘students aren’t as net savvy as we might have assumed’
(p. 2). This suggests that students’ everyday technology practices may not be directly
applicable to academic tasks, and so education has a vitally important role in fostering
information literacies that will support learning.

Again, this is a paper I could quote bits from all day – so here are a couple of paragraphs from towards the end that summarises their (and my) take on the digital natives:

Neither dismissive scepticism nor uncritical advocacy enable understanding of whether
the phenomenon of digital natives is significant and in what ways education might need
to change to accommodate it. As we have discussed in this paper, research is beginning
to expose arguments about digital natives to critical enquiry, but much more needs to be
done. Close scrutiny of the assumptions underlying the digital natives notion reveals
avenues of inquiry that will inform the debate. Such understanding and evidence are
necessary precursors to change.

The claim that there is a distinctive new generation of students in possession of sophisticated
technology skills and with learning preferences for which education is not
equipped to support has excited much recent attention. Proponents arguing that education
must change dramatically to cater for the needs of these digital natives have
sparked an academic form of a ‘moral panic’ using extreme arguments that have lacked
empirical evidence.

Finally, after posting the prior summary of Kirschner and deBruckyne’s paper, I searched hashtag #digitalnatives on Twitter and – self-promotingly – replied to some of the original tweeters with a link to the paper (interestingly quite a few #digitalnatives tweets were links to discussions of the Kirschner/deBruckyne paper) Some were very receptive, but others were markedly defensive. Obviously a total stranger coming along and pedantically pointing out your hashtag is about something that doesn’t exist may not be the most polite way of interacting on twitter – but also quite a lot of us are quite attached to the myth of the digital native

“The myths of the digital native and the multitasker”

One common rhetorical device heard in technology circles – including eHealth circles – is the idea that those born after 1980, or maybe 1984, or maybe 1993, or maybe 2000, or maybe 2010 (you get the picture) are “digital natives” – everyone else is “digital immigrant” In the current edition of Teaching and Teacher Education, Kirschner and de Bruyckere have an excellent paper on this myth, and the related myth of multitasking.

The “highlights” of the paper (I am not sure if these are selected by the authors or by the editors – UPDATE: see comment by Paul Kirschner below!) are pretty to the point:


Information-savvy digital natives do not exist.

Learners cannot multitask; they task switch which negatively impacts learning.

Educational design assuming these myths hinders rather than helps learning.

The full article is via subscription/library online, and this recent post on the blog of Nature discusses this paper and others on this myth. This is Kirschner and de Bruyckere’s abstract:

Current discussions about educational policy and practice are often embedded in a mind-set that considers students who were born in an age of omnipresent digital media to be fundamentally different from previous generations of students. These students have been labelled digital natives and have been ascribed the ability to cognitively process multiple sources of information simultaneously (i.e., they can multitask). As a result of this thinking, they are seen by teachers, educational administrators, politicians/policy makers, and the media to require an educational approach radically different from that of previous generations. This article presents scientific evidence showing that there is no such thing as a digital native who is information-skilled simply because (s)he has never known a world that was not digital. It then proceeds to present evidence that one of the alleged abilities of students in this generation, the ability to multitask, does not exist and that designing education that assumes the presence of this ability hinders rather than helps learning. The article concludes by elaborating on possible implications of this for education/educational policy.

The paper is one of those trenchantly entertaining ones academia throws up every so often. For instance here the authors are on the origins of the “digital native” terminology (and “homo zappiens”, a new one on me):


ccording to Prensky (2001), who coined the term, digital natives
constitute an ever-growing group of children, adolescents,
and nowadays young adults (i.e., those born after 1984; the official
beginning of this generation) who have been immersed in digital
technologies all their lives. The mere fact that they have been
exposed to these digital technologies has, according to him,
endowed this growing group with specific and even unique characteristics
that make its members completely different from those
growing up in previous generations. The name given to those born
before 1984 – the year that the 8-bit video game saw the light of
day, though others use 1980 – is digital immigrant. Digital natives
are assumed to have sophisticated technical digital skills and
learning preferences for which traditional education is unprepared
and unfit. Prensky coined the term, not based upon extensive
research into this generation and/or the careful study of those
belonging to it, but rather upon a rationalisation of phenomena and
behaviours that he had observed. In his own words, he saw children
“surrounded by and using computers, videogames, digital music
players, video cams, cell phones, and all the other toys and tools of
the digital age” (2001, p.1). Based only upon these observations, he
assumed that these children understood what they were doing,
were using their devices effectively and efficiently, and based upon
this that it would be good to design education that allows them to
do this. Prensky was not alone in this. Veen and Vrakking (2006),
for example, went a step further coining the catchy name homo
zappi€ens to refer to a new breed of learners that has developed e
without either help from or instruction by others e those metacognitive
skills necessary for enquiry-based learning, discovery based
learning, networked learning, experiential learning, collaborative
learning, active learning, self-organisation and self regulation,
problem solving, and making their own implicit (i.e.,
tacit) and explicit knowledge explicit to others.

The saw that children are invariably more tech savvy then their parents is also a myth:

Looking at pupils younger than university students, the largescale
EU Kids Online report (Livingstone, Haddon, Gorzig, € &
Olafsson, 2011 ), placed the term ‘digital native’ in first place on
its list of the ten biggest myths about young people and technology.
They state: “Children knowing more than their parents has been
136 P.A. Kirschner, P. De Bruyckere / Teaching and Teacher Education 67 (2017) 135e142
exaggerated … Talk of digital natives obscures children’s need for
support in developing digital skills” and that “… only one in five
[children studied] used a file-sharing site or created a pet/avatar
and half that number wrote a blog … While social networking
makes it easier to upload content, most children use the internet for
ready-made, mass produced content” (p. 42). While the concept of
the digital native explicitly and/or implicitly assumes that the
current generation of children is highly digitally literate, it is then
rather strange to note that many curricula in many countries on
many continents (e.g., North America, Europe) see information and
technology literacy as 21st century skills that are core curriculum
goals at the end of the educational process and that need to be

Two more recent studies show that the supposed digital divide
is a myth in itself. A study carried out by Romero, Guitert, Sangra,
and Bullen (2013) found that it was, in fact, older students (>30
years and thus born before 1984) who exhibited the characteristics
attributed to digital natives more than their younger counterparts.
In their research, 58% of their students were older than 30 years
who “show the characteristics of this [Net Generation profile]
claimed by the literature because, on analysing their habits, they
can be labelled as ICT users more than digital immigrants” (p. 176).
In a study on whether digital natives are more ‘technology savvy’
than their middle school science teachers, Wang, Hsu, Campbell,
Coster, and Longhurst (2014) conclude that this is not the case.

The authors are not arguing that curricula and teaching methods do not need to change and evolve, but that the myth of the digital native should not be the reason for doing so:

Finally, this non-existence of digital natives makes clear that one
should be wary about claims to change education because this
generation of young people is fundamentally different from previous
generations of learners in how they learn/can learn because
of their media usage (De Bruyckere, Hulshof, & Kirschner, 2015).
The claim of the existence of a generation of digital natives, thus,
cannot be used as either a motive or an excuse to implement
pedagogies such as enquiry-based learning, discovery-based
learning, networked learning, experiential learning, collaborative
learning, active learning, self-organisation and self-regulation or
problem solving as Veen and Vrakking (2006) argued. This does not
mean education should neither evolve nor change, but rather that
proposed changes should be evidence informed both in the reasons
for the change and the proposed changes themselves, something
P.A. Kirschner, P. De Bruyckere / Teaching and Teacher Education 67 (2017) 135e142 137
that ‘digital natives’ is not.
The non-existence of digital natives is definitely not the ‘reason’
why students today are disinterested at and even ‘alienated’ by
school. This lack of interest and alienation may be the case, but the
causes stem from quite different things such as the fact that
diminished concentration and the loss of the ability to ignore
irrelevant stimuli may be attributed to constant task switching
between different devices (Loh & Kanai, 2016; Ophir, Nass, &
Wagner, 2009; Sampasa-Kanyinga & Lewis, 2015). This, however,
is the topic of a different article.

The paper also deals with multi-tasking. Firstly they examine the nature of attention. “Multi-tasking” is an impossibility from this point of view, unless the tasks are automatic behaviours. They cite a range of research which, unsurprisingly enough, link heavy social media usage (especially with the user instantly replying to stimuli) with poorer educational outcomes:

Ophir et al. (2009) in a study in which university students who
identified themselves as proficient multitaskers were asked to
concentrate on rectangular stimuli of one colour on a computer
monitor and ignore irrelevant stimuli entering their screen of a
different colour observed that
heavy media multitaskers are more susceptible to interference
from irrelevant environmental stimuli and from irrelevant
representations in memory. This led to the surprising result that
heavy media multitaskers performed worse on a test of taskswitching
ability, likely because of reduced ability to filter out
interference from the irrelevant task set (p. 15583).
Ophir et al. (2009) concluded that faced with of distractors,
heavy multitaskers were slower in detecting changes in visual
patterns, were more susceptible to false recollections of the distractors
during a memory task, and were slower in task-switching.
Heavy multitaskers were less able than light/occasional multitaskers
to volitionally restrain their attention only to task relevant

The authors specifically warn caution about the drive that students bring their own device to school.

Why is this paper so important? As the authors show (and the author of the Nature blog post linked to above also observes) this is not a new finding. There are many pieces out there, both academic and journalistic, on the myth of the digital native. This paper specifically locates the dicussion in education and in teacher training (they say much also on the issue of supposedly “digital native” teachers) and is a trenchant warning on the magical thinking that has grown up around technology.

There are obvious parallels with health and technology. The messianic, evangelical approach to healthtech is replete with its own assumptions about digital natives, and magical thinking about how easily they navigate online worlds. Using a handful of social medial tools or apps with visual interactive systems does not translate into a deep knowledge of the online world, or indeed a wisdom about it (or anything else)

Hype, The Life Study and trying to do too much

A while back I reviewed Helen Pearson’s, “The Life Project” in the TLS. I had previously blogged on the perils of trying to do too much and mission creep and overload.

From the original draft of the review (published version differed slightly):

Pearson is laudably clear that the story of the birth cohorts is also a study of failure; the failure of the NHS to improve the inequality of health incomes between social classes, the failure of educational reforms and re-reforms to broach the similar academic achievement gap. Indeed, the book culminates in a failure which introduces a darker tone to the story of the birth cohort studies.

Launched in January 2015, the Life Study was supposed to follow 80,000 babies born in 2015 and intended to be a birth cohort for the “Olympic Children.” It had a government patron in David Willetts, who departure from politics in May 2015 perhaps set the stage for its collapse. Overstuffed antenatal clinics and a lack of health visitors meant that the Life Study’s participants would have to self-select. The optimistic scenario has 16,000 women signing up in the first eighteen months; in the first six months, 249 women did. By October 2015, just as Pearson was completing five years of work on this book, the study had officially been abandoned.

Along with the cancellation of the National Institute for Health’s National Children’s Study in December 2014, this made it clear that birth cohorts have been victims of their own success. An understandable tendency to include as much potentially useful information as possible seemed to have created massive, and ultimately unworkable cohorts. The Life Study would have generated vast data sets: “80,000 babies, warehouses of stool samples of placentas, gigabytes of video clips, several hundred thousand questionnaires and much more” (the history of the 1982 study repeated itself, perhaps.) Then there is the recruitment issue. Pregnant women volunteering for the Life Study would “travel to special recruitment centres set up for the study and then spend two hours there, answering questions and giving their samples of urine and blood.” Perhaps the surprise is that 249 pregnant women actually did volunteer for this.

Pearson’s book illustrates how tempting mission creep is. She recounts how birth cohorts went from obscure beginnings to official neglect with perpetual funding issues to suddenly becoming a crown jewel of British research. Indeed, as I observe in the review, while relatively few countries  have emulated the NHS’ structure and funding model, very many have tried to get on the birth cohort train.

This situation of an understandable enthusiasm and sudden fascination has parallels across health services and research. It is particularly a risk in eHealth and connected health, especially as the systems are inherently complex, and there is a great deal of fashionability to using technology more effectively in healthcare. It is one of those mom-and-apple-pie things, a god term, that can shut down critical thinking at times.

Megaprojects are seductive also in an age where the politics of funding research loom large. The big, “transformative” projects can squeeze out the less ambitious, less hype-y, more human-scale approaches. It can be another version of the Big Man theory of leadership.

Whatever we do, it is made up of a collection of tiny, often implicit actions, attitudes, near-reflexes, and is embedded in some kind of system beyond ourselves that is ultimately made up of other people performing and enacting a collection of tiny, often implicit actions, attitudes, and near-reflexes.


Post for CCIO blog 20/02/17 – The “technodoctor” and putting stories at the heart of healthcare

Here is a post on the CCIO blog which I guess crystallises some of the thoughts I have posted here inspired by Cecil Helman. So this marks a culmination of sorts of engagement with his work.

The “technodoctor” and putting stories at the heart of healthcare

Cecil Helman was a South African-born GP who died in 2009 of motor neurone disease. He was also an anthropologist whose textbook, Culture, Health and Illness, remains a key reference and teaching text for medical anthropology. His approach to medicine, and life, is summed up in the words of one of his obituaries:

For Cecil literature and art were as important as the science of medicine. He was fascinated by people, their cultural and ethnic backgrounds, the narratives of their illnesses, their interaction with practitioners, and the role of traditional healers in many different societies. As he said, to be an effective healer, a doctor needs to ‘understand the storyteller as well as the story’.

Cecil_HelmanWhile his academic works have had a major influence on healthcare education and training, his most popular book was 2006’s Suburban Shaman a “mosaic of memories” of storytellers/patients and their stories, informed by his anthropological knowledge and approach. A posthumous sequel, An Amazing Murmur of the Heart, is a sort of sequel, in which Helman discusses the often-dehumanising process of medical education, during which the patient becomes something denatured, disconnected from their narrative. And in this book Helman identifies a new kind of doctor – the “technodoctor”:

Young Dr A, keen and intelligent, is an example of a new breed of doctor – the ones I call ‘techno-doctors’. He is an avid computer fan, as well as a physician. He likes nothing better than to sit in front of his computer screen, hour after hour, peering at it through his horn-rimmed spectacles, tap-tapping away at his keyboard. It’s a magic machine, for it contains within itself its own small, finite, rectangular world, a brightly coloured abstract landscape of signs and symbols. It seems to be a world that is much easier for Dr A to understand , and much easier for him to control, than the real world –  one largely without ambiguity and emotion.

Helman further identifies that this attitude marks a further step along the road of reductionism and dehumanising in medical care:

Like many other doctors of his generation – though fortunately still only a minority – Dr A prefers to see people and their diseases mainly as digital data, which can be stored, analysed, and then, if necessary, transmitted – whether by internet, telephone or radio – from one computer to another. He is one of those helping to create a new type of patient, and a new type of patient’s body – one much less human and tangible than those cared for by his medical predecessors. It is one stage further than reducing the body down to a damaged heart valve, an enlarged spleen or a diseased pair of lungs. For this ‘post-human’ body is one that exists mainly in an abstract, immaterial form. It is a body that has become pure information.

I was reminded by Robert Wachter’s speech at the 2016 CCIO Network Summer School in Leeds, on unintended consequences in health IT. He gave the example of hospitals where doctors are no longer to be found on the wards interacting with patients and other staff, but in a room full of doctors on computers, interacting with the EHR. The most stark illustration he used, however, was a child’s picture of a visit to the doctor, showing the doctor’s back turned to the child and her mother, tap-tapping away at the screen.

“A body that has become pure information” is how Helman describes the end process of the dehumanisation he decries. While I think the “technodoctor” is something of a straw man, Helman is certainly pointing to a genuine risk. “An Amazing Murmur of the Heart” is full of wisdom about the importance of connection, of physical touch, of attending to the story the patient brings, and the meaning of their symptoms for them. It would be a pity if this kind of rich, truly humanistic approach to medicine is somehow placed in opposition to the world of the “technodoctor.”

One way of avoiding the development of this false dichotomy into something tangible lies in Helman’s emphasis on the need to “understand the storyteller as well as the story.” What Helman doesn’t discuss in these passages is how paper-based information systems in healthcare can obscure the story and the storyteller in a welter of disjointed confusion. My own experience of paper notes is all too often wading through pages of confusing, if not illegible, notes, searching for something typewritten or printed. In this circumstance, the story the person is bringing to the encounter is utterly lost.

Initiatives like the EHR Personas allow for the conscientious, judicious use of narratives in planning and executing a major health IT change, one that could radically alter not only how healthcare is delivered but also how the personal story that is at the heart of all this activity is told.

Helman is, from the grave, issuing a warning, however, about what could go wrong. It is the same warning as that Bob Wachter gives with the child’s picture. It is fortunate that “narrative medicine” has become an academic subject in its own right, although perhaps this development indicates that something has been lost. In planning health IT interventions, we must ensure that they allow the story to be told and the storyteller to be heard. Let us focus on ensuring that the human stories that are the real stuff of every single clinical encounter are never lost, and that we turn our faces not to the screen but to those human stories.

Once again, it isn’t about the tech

From MobiHealthNews:

West Virginia hospital system sees readmission reductions from patient education initiative
A telehealth initiative at Charleston Area Medical Center led to reduced readmission rates for several chronic conditions, the health system reported today.

What led to the reductions wasn’t the advent of video consultations with specialists or sophisticated biometric sensor monitoring, but health information for patients and workflow integration for hospital staff via SmarTigr, TeleHealth Services’s interactive patient education and engagement platform that offers videos designed to educate patients about their care and medication

Technology is an enabler of improved patient self-management and improved clinician performance – not an end in itself.

More on the health education elements of this project:

As only 12 percent of US adults have the proficient health literacy required to self-manage their health, the four-hospital West Virginia system launched the initiative in 2015 to see what they could do to improve that statistic. With SmarTigr, they developed condition-specific curriculums – which are available in multiple languages – and then “prescribed” the videos, which are integrated into smart TVs, hospital software platforms and mobile applications. Patients then complete quizzes, and the hospital staff review reports of patient compliance and comprehension, and all measurements become part of the patient’s medical record.

“Self-management” can be a godterm, shutting down debate, but the sad reality that health literacy (and, I would argue, overall literacy) is such in the general population that it will remain a chimera.

Finally, this project involved frontline clinicians via a mechanism I hadn’t heard of before – the “nurse navigator”

Lilly developed a standard educational approach by working with registered nurse Beverly Thornton, CAMC’s Health Education and Research Institute education director, as well as two “nurse navigators,” who work directly with the front-line nurses. They developed disease-specific video prescriptions for CHF and COPD that give a detailed list of educational content videos patients are to watch before they are discharged, followed by quizzes.

“actual clinic services with real doctors”

Again, from MobiHealthNews:

A new kind of doctor’s office opened in San Francisco this week: Forward, a membership-based healthcare startup founded by former Googler Adrian Aoun that infuses a brick-and-mortar office with data-driven technology and artificial intelligence.

For $149 per month, Forward members can come to the flagship office that features six examination rooms – equipped with interactive personalized displays – and doctors from some of the Bay Area’s top medical systems. Members are given wearable sensors that work with Forward’s proprietary AI for proactive monitoring that can alert members and their doctors of any abnormalities as well as capture, store and analyze data to develop personalized treatment plans. Members also have 24-7 mobile access to their data, rounding out what Aoun believes is a new type of preventative care.

What is interesting about this piece is that there are various other start-ups whose vision is not based on telemedicine or on “empowering consumers”, but on what is at its core the traditional surgery office except with much slicker tech. It is also interesting that Forward’s approach is based on a personal experience:

The impetus for Forward came from a personal experience of Aoun’s. When one of his close relatives had a heart attack, he found himself sitting in the ICU and realizing healthcare wasn’t quite what he thought it was. Seeing doctors having to obtain health records from multiple sources and wait days or weeks for test results and suffering from all-around communication breakdowns within their health system, he was inspired to create an alternative model – one focused on prevention, efficiency and connected tools to create a increasingly smart healthcare plans based on each individual’s needs and goals.

I took the title of this post from what I found a rather amusing aside in a later paragraph:

It also isn’t the first company to offer a hybrid of physical and digital services. In September 2016, startup Carbon Health opened its first clinic, also in San Francisco, that offers actual clinic services with real doctors

“actual clinic services with real doctors”! – sounds truly revolutionary – and quite a difference from the techno-utopian slant of the Financial Times piece I blogged about earlier in the week. At times readers may detect a certain weariness with the hype that surrounds digital health, the overuse of “revolutionary” and “transformative” and so on, the goes-without-saying presumption that healthcare is bloated and inefficient while tech is gleaming and slick and frictionless.  This is far from saying that healthcare doesn’t need change, and can’t learn from other fields – I look forward to hearing more about Forward.

Financial Times: How smartphones are transforming healthcare

This piece from last weekend’s FT magazine naturally caught my eye. It is rather techno-trumphalist narrative, with a few paragraphs of caveats on data privacy and lack of regulation in this area.However, the first and last quotations are from the CEO of Babylon an “artificially intelligent medical adviser” – the last words being:

But although we will continue to seek out physicians, it will not necessarily be because of their superior clinical skills. “If what you need is to solve a specific clinical problem, a diagnosis, then we can diagnose you better, faster, cheaper than a human doctor can,” Parsa says, with a wry smile. “Five years from now, technologically I do not believe you will have any need to see a human doctor for diagnosis… there is no scientific reason”

He would say that, wouldn’t he?

I’ve written before on the (much superior) Nature piece on “The Wild West of Health” care and have dashed off a few lines to the FT magazine on the lack of mention of the importance of clinical engagement. The piece is worth reading however, my allergy to mention of “transforming” and “revolutionising” healthcare