Social determinants of health can make a big difference in health outcomes. A physician expert in NLP highlights how the AI technology can unearth gold in EHRs.
— Read on www.healthcareitnews.com/news/using-natural-language-processing-unlock-sdoh-unstructured-ehr-data
The Great Digital Reset: Chasing Talent, Not Capital
The world of the future is not the world of capitalism, it’s the world of ‘talentism.’
— Read on www.forbes.com/sites/joemckendrick/2021/01/29/the-great-digital-reset-chasing-talent-not-capital/
Health IT execs offer thoughts on the big issues of 2021 | Healthcare IT News
Where are vaccine supply chains, value-based care, AI, telehealth and other trends headed next year? C-suite leaders from an array of vendors weigh in on provider/payer relations, the healthcare workforce and more.
— Read on www.healthcareitnews.com/news/health-it-execs-offer-thoughts-big-issues-2021
2021 could be the year automation and AI truly accelerate the economy – Axios
Productivity growth has been stagnant for years, but new technologies are finally set to change that.
— Read on www.axios.com/productivity-growth-j-curve-automation-ai-23bf33a3-ebf9-4407-9668-006db8984497.html
Bryan Walsh – Technology
The coronavirus pandemic hit the global economy hard in 2020, but the economy may be close to consolidating years of technological advances — and ready to take off in a burst of productivity growth.
Why it matters: Productivity is the engine that makes the economy grow for everyone. If long-gestating technologies like AI and automation really are ready to fulfill their potential, we’ll have the chance to escape the great stagnation that has choked our economy and poisoned our politics.
What’s happening: Hidden in part by the human and economic suffering of the pandemic, 2020 saw a collection of remarkable technological breakthroughs, including a mRNA vaccine for COVID-19 and advances in AI language generation.
Context: In a blog post published last month, the economist Tyler Cowen added in a few others, including affordable solar power and remote work, and asked whether total factor productivity (TFP) — a rough approximation of the effect technological and strategic progress has on economic productivity — in 2021 “will be remarkably high, maybe the highest ever?”
• Cowen’s musings matter because he literally wrote the book on “the great stagnation” — his term for the curious and persistent slowdown in wage and productivity growth in the U.S. over the past few decades, even as the internet and everything that grew out of it seemed to transform life as we knew it.
Flashback: After a few postwar decades of scorching growth, labor productivity began to decelerate sharply in the 1970s, and aside from a period of 3% growth in the mid-1990s to early 2000s — which economists attributed to the widespread effects of the computer — it’s stayed mired at about 1.2% a year ever since .
• Some experts have argued that conventional economic metrics fail to fully measure the productivity benefits of newer technologies like social media and the internet, but even so, they don’t compare to the advances of the past, like widespread electrification and antibiotics.
It looks increasingly possible that the last decade plus of sluggish productivity growth isn’t a sign that the benefits of new technology have permanently plateaued, but that businesses were using the time to invest in and adjust to those new advances — and that we may now be ready to reap the benefits.
• Economists like Erik Byrnjolfsson have argued that we’re experiencing a “productivity J-curve.”
• When powerful new technologies are introduced into the economy, productivity may flatten or even dip a bit as initial investments are made — the first part of the J. But once those technologies have been fully digested, productivity can swoop upwards — the second part of the J.
• That’s what we’ve seen in the past. Computers began to filter into the workplace in the 1970s and 80s, but it wasn’t until the 1990s that the productivity gains of all those PCs were finally felt.
What they’re saying: “Often times in the short term it can be costly to invest in new business processes and skills, and during that time you won’t see productivity rising,” Byrnjolfsson told me earlier this year.
• “But in the years after you’ll see the upwards part of the J, and COVID-19 has catalyzed the energy and creativity around this process.”
By the numbers: A survey by the World Economic Forum in October found more than 80% of global firms plan to accelerate the digitization of business process and grow remote work, while half plan to accelerate automation.
• About 43% expect those changes to reduce their workforces overall, which implies an expected increase in productivity.
The catch: If those gains don’t filter down to workers — or worse, end up eliminating jobs without replacing them with better ones — even a faster, more productive economy won’t ameliorate the inequality-driven political divisions that have dogged the U.S. in recent years.
The bottom line: As bad as 2020 has been, we may look back upon it as the year that finished the launchpad for a new Roaring ’20s.
7 things about EHRs that stress out doctors | American Medical Association
Learn about what research has identified as the factors of electronic health record (EHR) systems associated with physician stress and burnout.
— Read on www.ama-assn.org/practice-management/digital/7-things-about-ehrs-stress-out-doctors
How a Vibrating Smartwatch Could Be Used to Stop Nightmares | WIRED
The FDA has given NightWare clearance to market a “digital therapeutic” device that uses an Apple Watch to interrupt PTSD-related nightmares.
— Read on www.wired.com/story/how-a-vibrating-smartwatch-could-be-used-to-stop-nightmares/
The younger Skluzacek (inventor) got his idea from the work of service dogs, who lick or nudge veterans with PTSD who are thrashing or moaning in their sleep, to disrupt their nightmares and allow them to sleep more peacefully.
The “digital therapeutic system” uses the sensors on a specially programmed Apple Watch to create a baseline sleep profile of the wearer. The sensors then can detect the rising heart rate and body movement associated with troubled sleep. The watch delivers vibrations in cycles of 10 seconds, increasing in intensity to arouse but not awaken the wearer, until the metrics ease back to normal levels.
Scientists Figured Out How Much Exercise You Need to ‘Offset’ a Day of Sitting
We know that spending hour after hour sitting down isn’t good for us, but just how much exercise is needed to counteract the negative health impact of a day at a desk? A new study suggests about 30-40 minutes per day of building up a sweat should d
— Read on www.sciencealert.com/getting-a-sweat-on-for-30-40-minutes-could-offset-a-day-of-sitting-down
Scientists Figured Out How Much Exercise You Need to ‘Offset’ a Day of Sitting
We know that spending hour after hour sitting down isn’t good for us, but just how much exercise is needed to counteract the negative health impact of a day at a desk? A new study suggests about 30-40 minutes per day of building up a sweat should do it.
Up to 40 minutes of “moderate to vigorous intensity physical activity” every day is about the right amount to balance out 10 hours of sitting still, the research says – although any amount of exercise or even just standing up helps to some extent.
That’s based on a meta-analysis across nine previous studies, involving a total of 44,370 people in four different countries who were wearing some form of fitness tracker.
The analysis found the risk of death among those with a more sedentary lifestyle went up as time spent engaging in moderate-to-vigorous intensity physical activity went down.
“In active individuals doing about 30-40 minutes of moderate to vigorous intensity physical activity, the association between high sedentary time and risk of death is not significantly different from those with low amounts of sedentary time,” write the researchers in their published paper.
In other words, putting in some reasonably intensive activities – cycling, brisk walking, gardening – can lower your risk of an earlier death right back down to what it would be if you weren’t doing all that sitting around, to the extent that this link can be seen in the amassed data of many thousands of people.
While meta-analyses like this one always require some elaborate dot-joining across separate studies with different volunteers, timescales, and conditions, the benefit of this particular piece of research is that it relied on relatively objective data from wearables – not data self-reported by the participants.
The study arrives alongside the publication of the World Health Organization 2020 Global Guidelines on Physical Activity and Sedentary Behaviour, put together by 40 scientists across six continents. The British Journal of Sports Medicine (BHSM) has put out a special edition to carry both the new study and the new guidelines.
“These guidelines are very timely, given that we are in the middle of a global pandemic, which has confined people indoors for long periods and encouraged an increase in sedentary behaviour,” says physical activity and population health researcher Emmanuel Stamatakis from the University of Sydney in Australia.
“People can still protect their health and offset the harmful effects of physical inactivity,” says Stamatakis, who wasn’t involved in the meta-analysis but is the co-editor of the BJSM. “As these guidelines emphasise, all physical activity counts and any amount of it is better than none.”
The research based on fitness trackers is broadly in line with the new WHO guidelines, which recommend 150-300 mins of moderate intensity or 75-150 mins of vigorous intensity physical activity every week to counter sedentary behaviour.
Walking up the stairs instead of taking the lift, playing with children and pets, taking part in yoga or dancing, doing household chores, walking, and cycling are all put forward as ways in which people can be more active – and if you can’t manage the 30-40 minutes right away, the researchers say, start off small.
Making recommendations across all ages and body types is tricky, though the 40 minute time frame for activity fits in with previous research. As more data gets published, we should learn more about how to stay healthy even if we have to spend extended periods of time at a desk.
“Although the new guidelines reflect the best available science, there are still some gaps in our knowledge,” says Stamatakis. “We are still not clear, for example, where exactly the bar for ‘too much sitting’ is. But this is a fast-paced field of research, and we will hopefully have answers in a few years’ time.”
The research has been published here, and the new guidelines here, in the British Journal of Sports Medicine.
Shah on pandemic: ‘If we don’t do something different, nothing is going to change’ – Portland Press Herald
In Maine:
substantial community transmission is defined as a new case rate greater than or equal to 16 per 10,000 people over the last 28 days
moderate community transmission is defined as a new case rate greater than or equal to eight but less than 16 per 10,000 people
low or no community transmission is defined as a new case rate of less than eight per 10,000 people
— Read on www.pressherald.com/2020/11/20/daily-cases-over-200-again-in-maine-two-additional-deaths/
This startup wants to fix your biased AI, one dataset at at time
A UK startup has released a new tool that could finally give coders a practical way of identifying bias in their datasets.
— Read on www.zdnet.com/article/this-startup-wants-to-fix-your-biased-ai-one-dataset-at-at-time/
Mobility network models of COVID-19 explain inequities and inform reopening
Based on cellular mobility data,
Researchers from Stanford University, among other institutions, studied anonymized data on 98 million people and their movement patterns hour-by-hour in the 10 largest metro areas in the U.S. An early version of the peer-reviewed findings was published on Tuesday in the journal Nature.
“We found large variation in predicted reopening risks: on average across metro areas, full-service restaurants, gyms, hotels, cafes, religious organizations, and limited-service restaurants produced the largest predicted increases in infections when reopened,” study authors wrote.
The COVID-19 pandemic dramatically changed human mobility patterns, necessitating epidemiological models which capture the effects of changes in mobility on virus spread1. We introduce a metapopulation SEIR model that integrates fine-grained, dynamic mobility networks to simulate the spread of SARS-CoV-2 in 10 of the largest US metropolitan statistical areas. Derived from cell phone data, our mobility networks map the hourly movements of 98 million people from neighborhoods (census block groups, or CBGs) to points of interest (POIs) such as restaurants and religious establishments, connecting 57k CBGs to 553k POIs with 5.4 billion hourly edges. We show that by integrating these networks, a relatively simple SEIR model can accurately fit the real case trajectory, despite substantial changes in population behavior over time. Our model predicts that a small minority of “superspreader” POIs account for a large majority of infections and that restricting maximum occupancy at each POI is more effective than uniformly reducing mobility. Our model also correctly predicts higher infection rates among disadvantaged racial and socioeconomic groups2–8 solely from differences in mobility: we find that disadvantaged groups have not been able to reduce mobility as sharply, and that the POIs they visit are more crowded and therefore higher-risk. By capturing who is infected at which locations, our model supports detailed analyses that can inform more effective and equitable policy responses to COVID-19.
— Read on www.nature.com/articles/s41586-020-2923-3