#AI is all over the news and social media, but it’s time to separate fact from fiction. New #lirio research published in Mayo Clinic Proceedings shows that #artificialintelligence is overwhelmingly used inaccurately — and there’s a growing conflation of generative #AI (genAI) with AI as a whole even though it represents just one subtype. Find out what else our research team learned.
Lirio
Software-Entwicklung
Knoxville, Tennessee 6,738 followers
Lirio: Communication that moves people. The personalization engine for digital health and leader in Precision Nudging®.
Über uns
Lirio is the personalization engine for digital health that combines behavioral science and AI to power hyper-personalized health consumer experiences that meaningfully improve outcomes. Our Precision Nudging® Interventions are designed to overcome specific barriers and move people to take action for better health. To learn more, visit Lirio.com.
- Website
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https://lirio.com/
External link for Lirio
- Industrie
- Software-Entwicklung
- Größe des Unternehmens
- 51-200 Mitarbeiter
- Hauptsitz
- Knoxville, Tennessee
- Typ
- In Privatbesitz
- Gegründet
- 2017
- Spezialitäten
- communication, technology, software, machine learning, healthcare solutions, behavioral science, digital health, personalization, precision nudging, ai, artificial intelligence, and reinforcement learning
Standorte
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Primäre
320 Corporate Dr NW
Knoxville, Tennessee 37923, US
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5000 Meridian Blvd
Ste. 200
Franklin, Tennessee 37067, US
Employees at Lirio
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Marten den Haring
CEO | Trying to make the impossible trivial
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Michael West
Executive Chairman and Chairman of the Board at Lirio. Author, Mom's Diary, A Story of Loss, Reflection, and Hope
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David Kazanjian
Sr. Director of Technology Services at Lirio
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Geoff Alday
Director Product & Design at Lirio — Product, Design, & Strategic Leadership
Aktualisierungen
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Lirio reposted this
This recent research paper on the type of content generative AI (genAI) can produce resonates with my experience. The paper's title, "Generative AI enhances individual creativity but reduces the collective diversity of novel content," sums up the findings pretty well. While all of our content at Lirio is human-crafted by writers with backgrounds in health and behavioral science, we are of course interested in the appropriate application of more rapid methods of content creation like genAI (and have some exciting ongoing research on the topic). We've experimented with using an LLM to generate content like ours using prompts similar to the ones our content designers work from. What we found is exactly what is reported in the paper: While individual content items may read well (and genAI sometimes suggests creative and compelling turns of phrase), there is great repetition across content items. We also write our content in support of a cohesive behavioral logic model, which brilliant human writers can use as a strategy. Even the ChatGPT I trained on our behavioral design process doesn't come close. Thanks to Anil Doshi and Oliver Hauser for the valuable insights on genAI and creativity! https://lnkd.in/dr3uf963
Generative AI enhances individual creativity but reduces the collective diversity of novel content
science.org
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Lirio reposted this
It was available online a few weeks ago, but I was waiting until the beautifully designed copy became available before I shared. Please check out the scoping review I co-authored with Eva Susanne Blazek, PhD and Christopher Symons titled "How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions?" published in Mayo Clinic Proceedings: Digital Health. We term the digital behavior change interventions, or DBCIs, that incorporate AI "AI-DBCIs," and I think what we found might surprise you. We hear so many people talking about the use of #artificialintelligence in apps or other digital health tools in order to coach or change real-world health behavior (i.e., off the screen), but we wanted a more accurate accounting of what's actually happening. From about 3000 papers that met our initial search terms, our inclusion and exclusion criteria winnowed down to just 32 papers covering 23 different AI-DBCIs, the majority of which were developed by academic teams for research purposes. Lirio's Precision Nudging is one of just six commercially available AI-DBCIs with peer-reviewed research available. What did we learn? A few highlights: -Almost every AI-DBCI uses homegrown technology rather than licensing 3rd party platforms. This speaks to the importance of IP and competitive differentiation, but also may get in the way of solid learning about the effects of AI to change behavior, especially given our next finding. -The way behavioral researchers talk about AI varies widely and is often inconsistent with how machine learning experts characterize the technology. Some papers claimed their interventions used AI, but a careful read by an AI scientist suggested a mismatch with modern accepted definitions (for example, hard-coded algorithms that do not learn, or Wizard-of-Oz implementations). Don't take someone's word for it that they are using AI! Rather, we have an opportunity to get educated about AI and very importantly, adopt an accurate shared vocabulary that enhances reproducibility of findings and lets us gather evidence about which AI tools are most fit for purpose across a range of behavioral interventions. -The early evidence on the use of AI to change behavior is promising, but there is SO MUCH work to be done. We need to look at more long-term behavior changes over time, and more rigorous study designs are needed to parse out the role of AI in any behavioral outcomes. There are also so many more behavioral domains where AI could support interventions. It's a wonderful opportunity space. There are more great nuggets in the paper, and we included a plain language glossary of common AI terms and concepts to help our readers become more conversant in discussing AI. Personally I am just excited to have a grounded sense of what exists in terms of AI-DBCIs for real-world behavior and a better roadmap to guide the next months of work in proving out the role of AI in behavioral interventions. Link in comments!
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Lirio reposted this
I’m thrilled to see so much excitement about using artificial intelligence to influence health behaviors, which is at the heart of what we do at Lirio. But I’m concerned that some of the recently announced AI coaches will miss the mark and sow unnecessary doubt. Any effective AI-driven health coach must a) use the right type(s) of AI for purpose, b) be built on a solid behavioral science foundation, and c) be designed specifically for health, which has considerations different from, say, consumer behaviors. Beyond that, there are at least four necessary ingredients for an AI coach to actually work. The foundation is personalization. Behavioral science shows that personalized interventions are more effective at changing people’s behaviors and helping them sustain new behaviors over time. Fortunately, AI is well suited to personalize technology using large volumes of complex data. Our large behavior model (LBM) is an example. Next is motivation. People need to have a reason to do something, and it needs to be personally meaningful for the behavior to persist. Understanding how an AI coach can support their personal goals is a key step in adoption and onboarding, and for some people may require conversation with a live professional who can help make the case. We can’t just assume people will use something because it’s cool. If an AI coach is doing its job, people’s needs will change as they progress and master new skills. The third ingredient is adaptation. Approaches from behavioral science like Just-in-Time Adaptive Interventions (JITAI) help calibrate the right level of coaching support over time. Finally, I believe we still need expert humans in the loop; an effective AI coach should enable connection. We know that human experts are still better at practicing medicine than machines. It’s (potentially deadly) hubris to suggest an AI coach renders expert humans redundant. We also know that people differ on how much they like and need a human provider as part of their care experience. Part of effective personalization is enabling the people who want more high touch support to have it. I didn’t discuss quality, but of course that is a huge consideration. In our recent review of how AI is used in digital health behavior change interventions, we found very few applications have generated the rigorous evidence that will eventually be needed for these apps to earn a place as go-to healthcare tools. Moreover, the current literature shows there is much work to do to develop a shared language and understanding of different types of AI and how they might be used to design an effective and safe intervention. Generative AI might grab headlines, but it’s just one type of AI and perhaps one of the least suited to patient care. Ultimately, innovation around AI for digital health is a good thing. But this area is too complex to get swept up in the hype. We have a lot of work to do to achieve the promise of AI in health. So let’s get working!
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Lirio reposted this
Lirio Expands Strategic Partnership With Cone Health To Launch Diabetes Intervention Learn more & get our take 👇 https://lnkd.in/gr4HYrFN “This next step in our strategic partnership with Cone Health introduces adaptive intervention design that is only possible with cutting-edge behavioral science and AI.” — Marten den Haring, CEO at Lirio “We’re incredibly excited to get started with Lirio because we’ve struggled to reach people who have serious health challenges and find sustainable ways to get them to self-manage their conditions.” — Vi-Anne Antrum, DNP, RN, NEA-BC, CENP, FACHE, Chief Nursing Officer at Cone Health #partnerships #diabetes #SoHCNews
Lirio Expands Strategic Partnership with Cone Health to Launch Diabetes Intervention
https://sliceofhealthcare.com
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"At Lirio, we have seen first-hand where compelling digital health apps fail to retain users or fall short of actually improving outcomes," - says Marten den Haring. "Using our Precision Nudging technology, we can supercharge the patient companion apps that BrightInsight is building to sustain behavior change and achieve significant outcome improvement."
Lirio and BrightInsight Partner to Bring the Power of AI-Driven Precision Nudging® to Patient Companion Apps.
Lirio on LinkedIn
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Lirio reposted this
Our Microsoft partner Lirio with some data informed insights on #ai and behavioral change in the #healthcare consumer. This partner is on my Mt. Rushmore of innovative partners in the healthcare space and I value our work together to bring value and outcome accretive interactions to patients and consumers across the world. #behavioraleconomics #behavioralscience #consumerexperience #healthcare Marten den Haring Thomas West, GsD.
Many of you have reached out about the op-ed piece in Time Magazine penned by Sam Altman and Arianna Huffington, that talks about the transformative impact AI could have in bringing about a positive change in human health behaviors. Some healthcare influencers, such as Blake Madden, have expressed passionate skepticism at the notion that technology can help address behavior change at all. So, I thought I would share some thoughts here ... The US has the highest rate of people with multiple chronic conditions, and an obesity rate nearly twice the OECD average. The US has the highest death rates for avoidable or treatable conditions, the lowest life expectancy at birth, the highest maternal and infant mortality, and among the highest suicide rates. Americans see physicians less often than people in most other countries. We have a growing physician shortage. We have a growing physician burnout problem. We have a well-documented empathy gap amongst clinicians. There is a growing patient mistrust, dissatisfaction, and disengagement with healthcare professionals. Healthcare spending, both per person and as a percentage of GDP continues to be far higher in the US than in any other high-income country. These problems are getting worse! The answer cannot simply be, let's employ more humans to intervene. The answer cannot simply be, let's develop more drugs that mask the root causes of chronic conditions. The answer must be that we find ways for technology to support us, to help caregivers be more effective, and to reduce the overall cost of care so future generations can enjoy a meaningful quality of life. Technology designed to manage electronic health records is not the answer. Technology designed to automate marketing campaigns is not the answer. Technology designed to engage patients based on a priori population segmentation is not the answer. Then what is? Well, I'm biased. I believe that AI is the human super power that can save us from ourselves. Humans can either choose to use it for good, or for destructive purposes. However, AI is also a new and complex technology, and in the hands of people who do not fully grasp it, no matter how well intentioned, AI can create new problems. In the right hands, AI solutions can help transform healthcare. They can be designed to complement human-to-human encounters and improve health outcomes for all. Algorithms can learn to be more empathetic and engage humans in personalized ways to support better decision-making and navigate our complex healthcare system. There is an opportunity to do good, and we must try! At Lirio, this is our mission. We see real-world evidence that our approach to n=1 personalization through our Large Behavior Model engages previously unengaged people and drives equitable outcomes across interventions and demographic segments. Please read this insightful article by my colleague Amy Bucher about key considerations when designing AI systems for human behavior change.
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"This next step in our strategic partnership with Cone Health introduces adaptive intervention design that is only possible with cutting-edge behavioral science and AI," said Marten den Haring, CEO of Lirio. "We're confident that our unique approach to behavior change will help Cone Health offer just-in-time personalized support for patients with hypertension, diabetes, and other chronic conditions, and we are thrilled to partner with an organization that shares our commitment to health equity." - Marten den Haring
Lirio and Cone Health Launch AI-Driven Interventions for Chronic Conditions to Advance Public Health Outcomes.
Lirio on LinkedIn
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Lirio reposted this
We're celebrating this new partnership for Lirio today! Be sure to read the BrightInsight press release here: https://lnkd.in/gBUCpcaV
We are excited to announce that Lirio, the world leader in personalized behavior modification through Precision Nudging®, is our latest partner to join the BrightInsight Ecosystem! Lirio understands how to influence human behavior. As the only AI Platform that engages consumers and learns what motivates them and what influences their decisions, Lirio can move patients along their unique journeys to better health through person-centered communication. By integrating the BrightInsight Platform with Lirio’s platform, #BrightInsight can enhance our life sciences customers’ patient companion apps to catalyze patient behavior change, ultimately leading to improved outcomes. Lirio joins an ecosystem network of more than 20 of the world’s leading healthcare and technology companies collaborating to drive #digitalhealth innovation, adoption, and engagement. Learn more: https://lnkd.in/gBUCpcaV
Lirio and BrightInsight partner to bring the power of AI-Driven Precision Nudging® to patient companion apps
brightinsight.com
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Lirio reposted this
I’m excited to share that I will be speaking at the always fabulous BAD Conference as part of Product Design Week London! You might be aware that I and my #BehavioralScience team at Lirio work alongside a world-class team of #ArtificialIntelligence scientists. Not many companies bring together two sets of domain experts to work side-by-side on the same design problem. I’ll share about what this work can look like and how it's influenced my design toolkit over the years to collaborate across fields. Come for the behavioral design conversation, and stay for insights on applying AI within digital design for the non-engineer. Registration link in the comments! #PDW24
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