Interested in learning about how ClosedLoop customers are using AI/ML to improve health outcomes and why AI is key to success in value-based care? ClosedLoop's CTO and Co-founder Dave DeCaprio recently sat down on the Forward Podcast to discuss powering healthcare interventions with AI/ML predictions, designing healthcare AI/ML for explainability and bias/fairness, the forthcoming healthcare data revolution, and more.
In this webinar, Carol McCall and Amrita Chadha, share a useful framework that your healthcare organization can use to evaluate programs’ ROI and impact on health equity, especially when introducing an artificial intelligence/machine learning (AI/ML) component.
Health equity has become an industry-wide priority, and organizations are turning to machine learning (ML) algorithms or rules-based systems to allocate healthcare resources to their members. The catch? Algorithms that aren’t adequately evaluated for bias can actually make health disparities worse. In this webinar, AIMed and ClosedLoop sat down to discuss algorithmic bias and how organizations can advance health equity with AI. Watch to learn why it’s important to assess bias prior to deployment and gain insight into ClosedLoop's new platform features that help data science teams evaluate algorithmic bias while training and validating ML models. Additionally, you'll hear about what a customer discovered when evaluating their own predictive models for bias, and what they learned in the process.
With CMS’ launch of the ACO REACH program bringing attention to its focus on improving health equity, reducing health disparities has become an industry-wide priority. Many providers and payers use machine learning algorithms or rules-based systems for population health, clinical decision support, and other decisions that affect healthcare resource allocation. But if these tools aren’t evaluated for algorithmic bias, they can unintentionally make health disparities worse. In this webinar, ClosedLoop will discuss the importance of evaluating algorithms for bias prior to deployment as well as metrics for assessing bias. We will also demo new features for algorithmic bias evaluation that enable data science teams using the ClosedLoop platform to assess algorithmic bias as part of process for training and validating machine learning models in healthcare.
In this Millennium Alliance Live podcast, Andrew Eye, CEO at ClosedLoop, breaks down AI's role in driving down the total cost of care and improving clinical decision-making to produce better health outcomes. He addresses historic concerns about the use of AI, explains how organizations can most effectively incorporate AI, and describes how ClosedLoop became the recognized industry leader in healthcare AI.
Beyond Innovation Co-host Anthony Lacavera speaks with Henry Legere, Founder & CEO of Reliant Immune Diagnostics and Andrew Eye, Co-founder & CEO of ClosedLoop AI, about the different ways each company is using artificial intelligence to improve access to and the quality of healthcare for patients.
In this podcast episode, Dave DeCaprio, Co-Founder and CTO at ClosedLoop, sits down with Ian Alrahwan of the The University of Texas at Austin AI Heath Lab. Together, they discuss where AI and ML fit into clinicians' decision-making process and the rationale behind training models on specific populations. Dave shares the story behind ClosedLoop's CMS AI Challenge win and why the ability to rapidly experiment set the company apart.
Andrew Eye, CEO and co-founder of ClosedLoop, and Amanda Goltz, lead for the AWS Accelerator focused on health equity, join the AWS Health Innovation podcast to discuss how startups are addressing health equity. Hear how the AWS Accelerator supports healthcare startups, how the aims of health equity are aligned with value-based care, and why Andrew believes local data is so essential to building powerful, unbiased predictive models in healthcare.
You can’t buy a predictive model off the shelf. And if you COULD… would you? It’s the old “build versus buy” debate, and with data in a constant state of change, building and deploying AI is more challenging than ever. Join Tim Gasper, Juan Sequeda, and Andrew Eye, CEO of ClosedLoop, on data.world's catalog & cocktails podcast to hear them discuss the challenges of AI deployment, AIOps, and maintaining models as data changes.
Tune into this webinar with AIMed to hear Carol McCall, Chief Health Analytics Officer at ClosedLoop, describe how: (1) there are still significant gaps in evidence regarding effective health equity interventions, (2) closing this gap will require expanding the ways evidence is created and used, and (3) organizations are better positioned than they may think to adopt new methods now and can play an active role in improving health equity.
AI isn’t just the future of healthcare, it’s here today and driving improved outcomes and real impact. In this webinar with Massachusetts Health Data Consortium, ClosedLoop's Carol McCall and Dave DeCaprio will discuss measuring tangible ROI for predictive systems, creating explainable AI, addressing algorithmic bias, and overcoming the deployment challenges of machine learning models.
What do participants need to consider in order to succeed in CMS' new program, ACO REACH? Join Carol McCall of ClosedLoop for a conversation with Debbie Finnel, CEO of ilumed, to learn how ilumed is planning for success in ACO REACH.
Social determinants of health (SDoH) have an outsized influence on health outcomes and total cost of care. Identifying and addressing SDoH has the potential to improve outcomes, reduce costs, and improve health equity—particularly important goals for ACO REACH participants and other value-based care organizations. In this webinar, ClosedLoop's Carol McCall and Amrita Chadha will discuss why incorporating SDoH into your health equity strategy is a key to success in value-based care and show specific examples of how to create structured SDoH data for use in AI/ML approaches.
Healthfirst partners with ClosedLoop.ai as part of its strategy to develop timely predictive insights through operationalized Artificial Intelligence (AI) solutions that help drive member engagement and better health outcomes. By using AI technology to analyze claims and other population health data points, Healthfirst is able to identify health risks and predict health outcomes on the individual level in order to help guide its members to preventive actions. In 2021, Healthfirst was among several other investors to participate in a $34 million Series B round of investments for ClosedLoop.ai.
Fairness is not a math problem. Healthcare disparities are a global challenge requiring more than just physical care. Identifying and leveraging social determinants of health is a largely untapped key to closing the healthcare gap. Join Dave DeCaprio, Chief Technology Officer & Co-Founder, and Maria Palombini, Director of the IEEE SA Healthcare and Life Sciences global practice, as they discuss how AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders’ trust with explainability in its applications.
ClosedLoop's chief health analytics officer, Carol McCall, was recently a panelist on "Addressing Bias in the Evolving Landscape of AI in Health Care," a webinar hosted by the Consumer Technology Association (CTA) and Digital Medicine Society (DiMe). The session explored the role of bias related to the use of data for AI in healthcare solutions and how clinicians, tech companies, and other stakeholders are learning mitigation approaches as the AI landscape evolves.
Join Ryan Pretnik of KLAS Research and Andrew Eye, CEO of 2022 Best in KLAS Healthcare AI category winner ClosedLoop, to learn how healthcare organizations like yours are rapidly adopting new and custom AI to tackle some of healthcare’s big challenges.
In this 45-minute session, ClosedLoop's chief health analytics officer, Carol McCall, will explain Precision Health Intelligence, and the importance it plays for healthcare providers, payers, and healthcare organizations focused on finding new solutions for success in value-based care.
Watch Carol McCall, ClosedLoop's chief health analytics officer, and. Dr. Jim Walton, president and CEO of Genesis Physicians Group and Genovista Health, discuss explainable AI, how AI can help organizations promote health equity and tackle persistent disparities, and how addressing social determinants of health is driving better outcomes. They join Drs. Jennifer Joe & Ami Bhatt on MedTech Insights—Vanguard.Health's weekly talkshow.
CTO Dave DeCaprio sits down with Jeff Winkler on the most recent episode of Chasing Squirrels, a podcast dedicated to connecting software engineers with exciting opportunities, describing job requirements, and highlighting the transformative work of emerging startups. In this episode, Dave details his professional journey, highlights some of ClosedLoop's real-world impact, and outlines what a software engineering position at ClosedLoop looks like.
Join the Austin Forum on Technology & Society's conversation on a multitude of topics surrounding equity in tech, featuring ClosedLoop co-founder and CTO Dave DeCaprio, Austin Urban Technology Movement president and CEO Michael Ward Jr, Digi.city Founder Chelsea Collier, and Austin Forum on Technology & Society’s Jessica Sager.
In this 45 minute webinar session, ClosedLoop CTO Dave DeCaprio details how we won the CMS AI Health Outcomes Challenge, what obstacles we encountered along the way, and what contributed to our winning submission.
Carol McCall, chief healthcare analytics officer at ClosedLoop, and Erich Huang, PhD, chief science & innovation officer at Onduo, were recently featured as panelists at MedCity INVEST. Their discussion was centered on combatting bias in AI. Specifically, they outlined how to ensure that implicit bias does not make its way into algorithms and the standards for ensuring that technology doesn’t make systemic inequality worse.
Joseph Gartner, PhD, director of data science, was featured on the Alldus AI in Action podcast. The podcast aims to share the insights of technologists and data science enthusiasts and to showcase the excellent work that is being done within AI in the United States and Europe. Joseph delves into his career and how he ended up at ClosedLoop, ClosedLoop's agile approach to AI, why the work he's doing excites him, and his predictions for the future of ClosedLoop and healthcare-focused data science.
In this podcast, Andrew Eye, co-founder and CEO of ClosedLoop.ai, discusses how ClosedLoop's healthcare-specific data science platform enables their clients to create algorithms tailored to their specific data. Andrew also discusses the company's $34 million in Series B funding to expand the reach of its data science platform, and he goes in depth on how the company won the $1.6M CMS AI Health Outcomes Challenge — the largest healthcare-focused AI contest ever.
In this Society of Actuaries podcast, Carol McCall, FSA, MAAA, MPH, and chief health analytics officer at ClosedLoop, speaks with Robert Eaton, FSA, MAAA, about how AI in healthcare has become a necessity. Carol emphasizes the importance of navigating an actuarial career with curiosity and genuine care for your chosen area of focus. The two also discuss the factors that contributed to ClosedLoop.ai recently being announced the winner of the Centers for Medicare & Medicare Services (CMS) AI Health Outcomes Challenge.
On this episode of The Pulse of AI, Andrew Eye, founder and CEO of ClosedLoop.ai, discusses how AI and data are being used now, the barriers holding back innovation, and what healthcare will look like in 10 years. ClosedLoop combines an intuitive end to end machine learning platform with a comprehensive library of healthcare specific features and model templates. ClosedLoop has taken a vertical approach and it is really paying off both for them and their customers.
On this episode of The Race to Value Podcast, Andrew Eye, founder and CEO of ClosedLoop, explains why ClosedLoop is an exemplar in the race to value. He discusses how ClosedLoop.ai was founded, how the team beat out the world’s leading technology and healthcare organizations to win the CMS AI Health Outcomes Challenge, the importance of explainable AI in healthcare, and much more.
How is artificial intelligence changing the healthcare industry? Does using AI improve health outcomes and reduce costs? To discuss the use of this technology in healthcare, Carol McCall, chief health analytics officer for ClosedLoop.ai, joined host Kevin Stevenson on MarketScale's I Don't Care podcast.
The CMS AI Health Outcomes Challenge was the largest competition ever for healthcare AI with over 300 entrants and $1.6m in prize money. In this panel at AI Innovation Circle, challenge winner and ClosedLoop.ai CEO, Andrew Eye, will join Graham Brooks, partner at .406 Ventures, to discuss explainability in healthcare AI, the importance of domain expertise for AI project success, and CMS challenge takeaways.
In this installment of In The Loop, ClosedLoop's thought leadership series, Carol McCall, chief health analytics officer, and Doug Blackwell, formerly the SVP and CIO of Horizon (Blue Cross Blue Shield New Jersey), discuss the biggest challenges in wrangling healthcare data, data interoperability, the impact of AI, and much more.
ClosedLoop’s chief health analytics officer, Carol McCall, was recently featured on the Chief Healthcare Executive™ Data Book Podcast. She discussed the recent AI Health Outcomes Challenge conducted by CMS and how ClosedLoop won the historic contest.
In this installment of In The Loop, ClosedLoop's thought leadership series, Carol McCall, chief health analytics officer, and Niall Brennan, president and CEO of the Healthcare Cost Institute, discuss COVID-19, transparency in healthcare, value-based care and much more.
Watch to learn how ClosedLoop won the CMS AI Health Outcomes Challenge, and How Genesis Physicians Group is using ClosedLoop to identify and tackle healthcare challenges facing nearly 30,000 Medicaid patients in Dallas.
In this installment of In The Loop, ClosedLoop's thought leadership series, Carol McCall, chief health analytics officer, sits down with John Bertko to dive into risk adjustment, alternate payment models, and much more. John is currently chief actuary with Covered California and serves on the Panel for Health Advisors for the Congressional Budget Office.
In this video interview with Cheddar News, Andrew Eye, CEO & Founder of ClosedLoop, explains the problem ClosedLoop is on a mission to solve.
ClosedLoop’s Chief Health Analytics Officer, Carol McCall, spoke at the AWS Healthcare & Life Sciences Web Day on July 9th. Carol presented on real world deployments of AI and predictive analytics driving tangible ROI in healthcare today.
In this talk, Dave DeCaprio, CTO and co-founder of ClosedLoop will discuss some of the challenges to achieving the promise of machine learning in healthcare, along with some practical approaches he has used to overcome these challenges during his 15 years of data science work in the industry.
Joseph Gartner, PhD, director of data science, walks through a comparison of SQL vs CL Expressions. He outlines how CL Expressions are specifically geared to the types of aggregation and time manipulation that are common in the practice of data science and compares both approaches on mock emergency room utilization data.
What is the impact of COVID-19 on the future of data science and AI in Healthcare? How equipped are your data science and predictive analytics teams to respond to new demands of a rapidly changing landscape?
Hear from healthcare leaders on how they are dealing with the challenges presented by COVID-19 and targeting outreach to those most vulnerable to severe complications from COVID-19 to help them ‘shelter in place'.
Dave DeCaprio, the CTO and Co-Founder of ClosedLoop.ai, gives an inside look at how C-19 Index was developed. He covers several aspects that were interesting about this project from a data science perspective, such as the lack of available data on COVID-19, how the types of models were selected, and the tight timeframes facing ClosedLoop.
Watch for a deep dive into our free model, the C-19 Vulnerability Index, created to help hospitals, federal / state / local public health agencies and other healthcare organizations in their work to identify, plan for, respond to, and reduce the impact of COVID-19 in their communities.
AIMed hosts ClosedLoop CEO, Andrew Eye, and Medical Home Network CMO, Art Jones, to discuss the current application of ClosedLoop's COVID-19 Vulnerability Index.
In this episode of Relentless Health Value, Andrew Eye, CEO of ClosedLoop, delves into how healthcare leaders are leveraging AI and responds to questions about the state of AI and the hype surrounding it.
A follow up interview with Andrew Eye, CEO & founder, ClosedLoop.ai who presented at the June 2019 Austin HIMSS Lunch & Learn. In his talk at the event, Andrew discussed recent advancements in AI and data storage and how it allow stakeholders in the provider, payer, and life science spaces to overcome traditional challenges with "messy" healthcare data.
Andrew Eye joins the DataPoint podcast and explains how ClosedLoop unpacks the “black box” of AI by allowing data scientists and clinicians to understand why and how factors impact a models prediction, driving faster adoptions and better clinical results.