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The software, part of Microsoft’s nearly $19 billion bet on Nuance Communications and the future of artificial intelligence in healthcare, promises to generate notes in seconds but accuracy, liability and even issues like how the note gets formatted may make some doctors hesitate.
Most doctors will tell you they chose their profession because they want to help people. But aggravatingly, many doctors spend hours of their days behind screens rather than with patients, entering copious details into medical records that often require them to work late into the night.
Between government regulations and insurance requirements, filling out these details isn’t optional—but it puts a heavy emotional toll on top of an already stressful profession.
“Doctors absolutely despise the administrative burdens of medicine,” says Scott Smitherman, an internal medicine doctor and chief medical information officer of ambulatory care at health system Providence. “That’s one of the biggest drivers of burnout.”
For the past few years, Smitherman has been testing a technology that has the potential to ease some of the burden: an app that records doctor’s interactions with patients and uses artificial intelligence to generate notes for the medical record. The app, called the Dragon Ambient eXperience, or DAX, was developed by Nuance Communications, the artificial intelligence company Microsoft acquired for $18.8 billion in 2022.
While many of the 430 doctors at Providence using DAX so far like it, Smitherman says there have been two main obstacles when it comes to convincing more doctors to use it – “resistance to change” and “giving up the control” of note-writing no matter how much they detest it.
“In 20 years? Yeah, I think the vast majority of doctors are going to be doing all of their documentation using this kind of software. In five years? No.”…..Alex Lennox-Miller, lead health IT analyst at CB Insights
So far there has been a human quality reviewer checking the AI’s work before it’s sent to the doctor for a final review. But this summer Microsoft and Nuance will start rolling out a version that is fully automated and incorporates GPT-4 thanks to Microsoft’s partnership with OpenAI.
The software giant is hoping the fully automated version, which generates the note within seconds, will scale much faster than the previous version. But the real question for success is: will doctors cede control to imperfect machines to get a few minutes of their lives back?…
I’m a senior writer at Forbes covering healthcare technology, and I also write the InnovationRX newsletter. I was previously a healthcare reporter for POLITICO covering the European
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As we gaze into the crystal ball for 2023, expect to see a bit more turbulence in the financial services sector. This is no surprise. In fact, it’s almost a given that market instability will continue, and there’s no quick or easy cure for inflation. But what might be unexpected is the shift that’s likely to take place in the advisor landscape.
Advisors have more opportunities than ever before to attract, retain and do great work for clients. The big question is, will their firms allow them to leverage the right digital tools at their disposal? It’s already a challenge for firms to keep up with evolving technology and offer advisors more discretion and freedom while giving them the best shot at success. But the firms that fail to do this risk losing their top advisory talent.
The Shifting Advisor Landscape
Like most other industries, financial services firms face a talent shortage. This was true even before the pandemic, but today, nearly four in ten financial advisors, who collectively control approximately 40% of total industry assets, are expected to retire within the next 10 years. And the talent to support this type of exodus simply isn’t there: There are fewer certified financial planners (CFPs) under the age of 30 than over the age of 70.
These problems are compounded by what many have called the Great Resignation, which makes it sound like workers are leaving their careers in droves to do something totally different and more rewarding. But the results of PwC’s annual Saratoga workforce benchmarking survey found that the Great Resignation is really more like a Great Reshuffling. People aren’t wholly abandoning their fields—they’re just looking for better options. This includes advisors who are leaving big firms to go to independent models where they have more freedom or switching to firms that they believe have a better value proposition.
With this as the backdrop, is it any wonder that the ability to attract and retain talent has taken on even greater importance? According to the findings of Schwab’s 2022 RIA Benchmarking Survey, talent is the top strategic priority for registered investment advisors who must have strong teams to properly serve their client base and support firm growth.
Adapting To A New Reality
One of the biggest ways for firms to attract and retain top advisors is by giving them the tools and support they need, which includes digital communications. Financial services firms traditionally tread cautiously with digital communications due to the complexity of ensuring compliance. The stakes have grown even higher in the current regulatory climate, in which the SEC is levying heavy fines for violations. With testimonials and endorsements now allowed by the SEC’s new Marketing Rule, firms may not want to take on the burden of yet another type of content to review and approve prior to posting.
Yet, testimonials and endorsements have been demonstrated to not only bolster online presence but also to drive engagement. Websites with testimonials can increase sales page conversions by up to 34%. Additionally, research results show that 72% of consumers are spurred to action only after reading positive reviews.
If firms prohibit advisors from posting content like endorsements and testimonials, advisors may be more likely to leave, which can create harmful ripple effects throughout the firm. Aside from the potential loss of clients who follow their advisor elsewhere—and the reputational harm associated with losing talent—there are actual hard costs. It’s estimated that turnover can cost a firm anywhere from 50% to 200% of an advisor’s annual compensation. If a firm loses multiple team members, it’s not only disruptive, it’s expensive.
As just one way to help ward off the threat of departures, many firms are bulking up their compliance teams to better support advisors’ preferred communications strategies and practices. According to Hearsay’s 2022 Finserv Compliance Benchmark Report, “42% of respondents plan to further increase compliance staffing over the next 12 months.” But will this be enough to keep employees with their current firms?
Moving Forward
Advisors will ultimately go to firms that offer them the best chance of building their client roster to generate personal income. One way to help ensure that advisors want to join or remain at your firm is to offer the ability to develop a robust, highly personalized and credible online presence coupled with modern compliant communications options. In tandem with this, you’ll want to make sure your processes, programs and technologies support a fully compliant risk-based approach for your communications strategies.
Firms that empower their advisors to succeed by opening up previously unavailable channels have the opportunity to differentiate themselves from competitors. As they meet and exceed the expectations of modern investors and advisors, they might not only be able to attract new talent but also usher in new business.
Deep fake or deepfake technology as AI or artificial intelligence as a biometrics fake visual... [+] Getty
Facial recognition software has become increasingly popular in the past several years. It is used everywhere from airports, venues, shopping centers and even by law enforcement. While there are a few potential benefits to using the technology to prevent and solve crimes, there are many concerns about the privacy, safety and legislation regarding the use of the technology.
Facial recognition technology uses a database of photos, such as mugshots and driver’s license photos to identify people in security photos and videos. It uses biometrics to map facial features and help verify identity through key features of the face. The most key feature is the geometry of a face such as the distance between a person’s eyes and the distance from their forehead to their chin.
This then creates what is called a “facial signature.” It is a mathematical formula that is then compared to a database of known faces. The market for this technology is growing exponentially. According to a research report “Facial Recognition Market” by Component, the facial recognition industry is expected to grow $3.2 billion in 2019 to $7.0 billion by 2024 in the U.S. The most significant uses for the technology being for surveillance and marketing. This, however, raises concerns for many people.
The main reason for concerns amongst citizens is the lack of federal regulations surrounding the use of facial recognition technology. Many are worried about how accurate the technology is and if there are biases and misinformation in these technologies. One issue, for example, is that the technology has been proven in multiple studies to be inaccurate at identifying people of color, especially black women.
Another major concern is the use of facial recognition for law enforcement purposes. Today, many police departments in the U.S., including New York City, Chicago, Detroit and Orlando, have begun utilizing the technology. According to a May 2018 report, the FBI has access to 412 million facial images for searches.
Not only is this a concern with the possibility of misidentifying someone and leading to wrongful convictions, it can also be very damaging to our society by being abused by law enforcement for things like constant surveillance of the public. Currently, the Chinese government is already using facial recognition to arrest jaywalkers and other petty crimes that cause debate amongst what is considered basic civil rights and privacy issues versus protecting the public.
Accuracy and accountability are necessary when it comes to the use of technology, especially regarding the justice system. The concerns have not gone unnoticed by politicians and many cities have started to create legislation around these issues. Oregon and New Hampshire have banned the use of facial recognition in body cameras for police officers. California cities, such as San Francisco and Oakland, and some cities in Massachusetts have outlawed certain uses of facial recognition technology for city officials including law enforcement.
The Utah Department of Public Safety has also put forth some bans on the use of facial recognition for active criminal cases. Law enforcement in Utah claim that the use of facial recognition software helps keep dangerous criminals off the streets, but advocates say that there is no checks and balances when it comes to the system. Recent pushes from Portland, Oregon show that they are soon to follow suit.
The latest legislation push to put limitations on facial recognition technology is a California bill, AB 1215, also referred to as the Body Camera Accountability Act. This bill will temporarily stop California law enforcement from adding face and other biometric surveillance technology to officer-worn body cameras for use against the public in California.
According to the ACLU of Southern California, “AB 1215 is a common-sense bill that rightly concludes that keeping our communities safe doesn’t have to come at the expense of our fundamental freedoms. We should all be able to safely live our lives without being watched and targeted by the government.”
Governor Gavin Newsom must decide whether or not to sign it into law by October 13. If he does, it will go into effect in January. Law enforcement isn’t the only issue with the technology that is of concern. U.S. Customs and Border Protection in partnership with Delta have added facial scanning to the Atlanta airport’s Concourse E, its Detroit hub, boarding gates in Minneapolis and Salt Lake City, and this month to Los Angeles International Airport.
The use of this technology causes concerns about how much people are being watched and if hackers can access this data causing more harm than good. “Facial recognition really doesn’t have a place in society,” said Evan Greer, deputy director of Fight for the Future. “It’s deeply invasive, and from our perspective, the potential harm to society and human liberties far outweigh the potential benefits.”
With the vast number of concerns and privacy issues surrounding facial recognition software and its use, cities around the U.S. will face more dilemmas as they attempt to tackle these issues. AI and facial recognition technology are only growing and they can be powerful and helpful tools when used correctly, but can also cause harm with privacy and security issues. Lawmakers will have to balance this and determine when and how facial technology will be utilized and monitor the use, or in some cases abuse, of the technology.
Nicole Martin is the owner of NR Digital Consulting and host of Talk Digital To Me Podcast. She has worked in many different industries on customer journeys, website management, social…
A new study in Nature Sustainability incorporates the damages that climate change does to healthy ecosystems into standard climate-economics models. The key finding in the study by Bernardo Bastien-Olvera and Frances Moore from the University of California at Davis:
The models have been underestimating the cost of climate damages to society by a factor of more than five. Their study concludes that the most cost-effective emissions pathway results in just 1.5 degrees Celsius (2.7 degrees Fahrenheit) additional global warming by 2100, consistent with the “aspirational” objective of the 2015 Paris Climate Agreement.
Models that combine climate science and economics, called “integrated assessment models” (IAMs), are critical tools in developing and implementing climate policies and regulations.
In 2010, an Obama administration governmental interagency working group used IAMs to establish the social cost of carbon – the first federal estimates of climate damage costs caused by carbon pollution. That number guides federal agencies required to consider the costs and benefits of proposed regulations.
Economic models of climate have long been criticized by those convinced they underestimate the costs of climate damages, in some cases to a degree that climate scientists consider absurd. Given the importance of the social cost of carbon to federal rulemaking, some critics have complained that the Trump EPA used what they see as creative accounting to slash the government’s estimate of the number. In one of his inauguration day Executive Orders, President Biden established a new Interagency Working Group to re-evaluate the social cost of all greenhouse gases.
IAMs often have long been criticized by those convinced they underestimate the costs of climate damages, in some cases to a degree that climate scientists consider absurd. Perhaps the most prominent IAM is the Dynamic Integrated Climate-Economy (DICE) model, for which its creator, William Nordhaus, was awarded the 2018 Nobel Prize in Economic Sciences.
Judging by DICE, the economically optimal carbon emissions pathway – that is, the pathway considered most cost-effective – would lead to a warming increase of more than 3°C (5.4°F) from pre-industrial temperatures by 2100 (under a 3% discount rate). IPCC has reported that reaching this level of further warming could likely result in severe consequences, including substantial species extinctions and very high risks of food supply instabilities.
In their Nature Sustainability study, the UC Davis researchers find that when natural capital is incorporated into the models, the emissions pathway that yields the best outcome for the global economy is more consistent with the dangerous risks posed by continued global warming described in the published climate science literature.
Accounting for climate change degrading of natural capital
Natural capital includes elements of nature that produce value to people either directly or indirectly. “DICE models economic production as a function of generic capital and labor,” Moore explained via email. “If instead you think natural capital plays some distinct role in economic production, and that climate change will disproportionately affect natural capital, then the economic implications are much larger than if you just roll everything together and allow damage to affect output.”
Bastien-Olvera offered an analogy to explain the incorporation of natural capital into the models: “The standard approach looks at how climate change is damaging ‘the fruit of the tree’ (market goods); we are looking at how climate change is damaging the ‘tree’ itself (natural capital).” In an adaptation of DICE they call “GreenDICE,” the authors incorporated climate impacts on natural capital via three pathways:
The first pathway accounts for the direct influence of natural capital on market goods. Some industries like timber, agriculture, and fisheries are heavily dependent on natural capital, but all goods produced in the economy rely on these natural resources to some degree.
According to GreenDICE, this pathway alone more than doubles the model’s central estimate of the social cost of carbon in 2020 from $28 per ton in the standard DICE model to $72 per ton, and the new economically optimal pathway would have society limit global warming to 2.2°C (4°F) above pre-industrial temperatures by 2100.
The second pathway incorporates ecosystem services that don’t directly feed into market goods. Examples are the flood protection provided by a healthy mangrove forest, or the recreational benefits provided by natural places.
In the study, this second pathway nearly doubles the social cost of carbon once again, to $133 per ton in 2020, and it lowers the most cost-effective pathway to 1.8°C (3.2°F) by 2100. Finally, the third pathway includes non-use values, which incorporate the value people place on species or natural places, regardless of any good they produce. The most difficult to quantify, this pathway could be measured, for instance, by asking people how much they would be willing to pay to save one of these species from extinction.
In GreenDICE, non-use values increase the social cost of carbon to $160 per ton of carbon dioxide in 2020 (rising to about $300 in 2050 and $670 per ton in 2100) and limit global warming to about 1.5°C (2.8°F) by 2100 in the new economically optimal emissions pathway. (Note for economics wonks – the model runs used a 1.5% pure rate of time preference.)
Climate economics findings increasingly reinforce Paris targets
It may come as no surprise that destabilizing Earth’s climate would be a costly proposition, but key IAMs have suggested otherwise. Based on the new Nature Sustainability study, the models have been missing the substantial value of natural capital associated with healthy ecosystems that are being degraded by climate change.
Columbia University economist Noah Kaufman, not involved in the study, noted via email that as long as federal agencies use the social cost of carbon in IAMs for rulemaking cost-benefit analyses, efforts like GreenDICE are important to improving those estimates. According to Kaufman, many papers (including one he authored a decade ago) have tried to improve IAMs by following a similar recipe: “start with DICE => find an important problem => improve the methodology => produce a (usually much higher) social cost of carbon.”
For example, several other papers published in recent years, including one authored by Moore, have suggested that, because they neglect ways that climate change will slow economic growth, IAMs may also be significantly underestimating climate damage costs. Poorer countries – often located in already-hot climates near the equator, with economies relying most heavily on natural capital, and lacking resources to adapt to climate change – are the most vulnerable to its damages, despite their being the least responsible for the carbon pollution causing the climate crisis.
Another recent study in Nature Climate Change updated the climate science and economics assumptions in DICE and similarly concluded that the most cost-effective emissions pathway would limit global warming to less than 2°C (3.6°F) by 2100, without even including the value of natural capital. Asked about that paper, Bastien-Olvera noted, “In my view, the fact that these two studies get to similar policy conclusions using two very different approaches definitely indicates the urgency of cutting emissions.”
Recent economics and climate science research findings consistently support more aggressive carbon emissions efforts consistent with the Paris climate targets.
Wesleyan University economist Gary Yohe, also not involved in the study, agreed that the new Nature Sustainability study “supports growing calls for aggressive near-term mitigation.” Yohe said the paper “provides added support to the notion that climate risks to natural capital are important considerations, especially in calibrating the climate risk impacts of all sorts of regulations like CAFE standards.”
But Yohe said he believes that considering the risks to unique and threatened systems at higher temperatures makes a more persuasive case for climate policy than just attempting to assess their economic impacts. In a recent Nature Climate Change paper, Kaufman and colleagues similarly suggested that policymakers should select a net-zero emissions target informed by the best available science and economics, and then use models to set a carbon price that would achieve those goals.
Their study estimated that to reach net-zero carbon pollution by 2050, the U.S. should set a carbon price of about $50 per ton in 2025, rising to $100 per ton by 2030. However climate damages are evaluated, whether through a more complete economic accounting of adverse impacts or via risk-based assessments of physical threats to ecological and human systems, recent economics and climate science research findings consistently support more aggressive carbon emissions efforts consistent with the Paris climate targets.