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HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health
HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

Yahoo

time14-06-2025

  • Health
  • Yahoo

HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

BARCELONA, Spain, June 14, 2025--(BUSINESS WIRE)--Hospital for Special Surgery (HSS) presented a research study at the European Alliance of Associations for Rheumatology (EULAR) Annual Meeting showing that an artificial intelligence (AI)-based model can predict readmissions of pregnant women with lupus by looking at patients' social factors and clinical comorbidities. Systemic lupus erythematosus (SLE), commonly known as lupus, is a chronic autoimmune disease in which the immune system attacks the individual's own healthy tissue, causing pain, inflammation, and eventually damage to various organs. It commonly affects young women, and pregnancy is a particularly vulnerable period for this high-risk population. Although lupus-related medical complications affect pregnancy outcomes, social determinants and economic conditions, known as social determinants of health (SDOH), may also be important in shaping maternal health outcomes. "Pregnant women with lupus have five times higher maternal mortality compared to those without lupus," said Sandhya Shri Kannayiram, MBBS, MD, rheumatology fellow at HSS and principal author of the study. "There is little data on how social factors, including Income, Insurance, housing stability, access to transportation, availability of utilities, and literacy, along with clinical comorbidities, affect pregnancy outcomes in individuals with lupus." To better understand how SDOH impact readmissions for pregnant patients with SLE, the team used ten-year data (from 2011 to 2021) from the National Readmissions Database of the US, encompassing approximately 66,000 hospitalizations in the United States, and counted the number of readmissions within 30 days of discharge during pregnancy and delivery. "We found that approximately 2,500 [pregnant women with lupus] were readmitted to the hospital within 30 days," said Dr. Kannayiram. "We used a supervised 'glass box' machine learning model called the Explainable Boosting Machine (EBM), which helped predict who is likely to return to the hospital within 30 days," said Dr. Kannayiram. She explained that EBM is a form of machine learning with a type of AI that learns from data to make predictions. "It's an AI model that can be trained on the dataset to predict outcomes with transparency and accuracy compared to traditional statistical models," she added. The team specifically examined the major social determinants from the database that may influence readmissions during pregnancy in SLE, including Income and insurance status (public, private, or self-pay). Dr. Kannayiram explained that the results obtained showed patients living in lower-income neighborhoods were nearly twice as likely to be readmitted compared to those from wealthier areas, and those with Medicaid or Medicare insurance were more likely to be readmitted within 30 days. Patients discharged to locations other than home, such as rehabilitation facilities or nursing homes, were also more likely to return. However, they also found unexpected correlations. "We found that the size of hospitals was highly related to readmissions, rather than the location, such as cities or rural areas," said Dr. Kannayiram, with large hospitals being the ones with more readmissions. Additionally, unlike most pregnancy studies, where older mothers are usually at higher risk, this study found that younger women with lupus were more likely to be readmitted. Dr. Kannayiram said that this result may be related to severe lupus in younger individuals since about half of the readmitted patients had Medicare coverage, which may suggest a high prevalence of disability or kidney disease within that younger population. By using the predictive AI model, the team also discovered that income and insurance status were among the top five predictors of 30-day readmission during pregnancy and delivery-related hospitalizations, explained Bella Mehta, MBBS, MS, MD, rheumatologist at HSS and lead author of the study. She noted that these results could inform targeted interventions, such as policy actions to advocate for improved Medicaid and Medicare coverage, as well as post-discharge care coordination. "Integrating SDOH screening into prenatal care for SLE patients, and incorporating a multidisciplinary team of social workers, could reduce preventable readmissions and improve maternal outcomes," added Dr. Mehta. According to Dr. Mehta, in future studies, the team plans to analyze in detail how individual-level social factors, such as housing instability, food insecurity, education, mental health, transportation access, and patient demographics, interact with clinical comorbidities to determine pregnancy outcomes for women with SLE. "This study underscores the vital intersection between clinical care and structural inequality," said Dr. Mehta. "The lupus community and broader maternal health initiatives must not only consider disease management but also address the social factors that influence outcomes." Poster details Title: Predictors of 30-Day Readmissions in Pregnant Patients with Systemic Lupus Erythematosus: The Role of Social Determinants of HealthAuthors: Sandhya Shri Kannayiram, Yiyuan Wu, Lisa Sammaritano, Michael Lockshin, Rich Caruna, D. Ware Branch, Jane E. Salmon, Bella n°: 2325Presentation: June 14th, 2025. 10:00 AM CEST About HSS HSS is the world's leading academic medical center focused on musculoskeletal health. At its core is Hospital for Special Surgery, nationally ranked No. 1 in orthopedics (for the 15th consecutive year), No. 3 in rheumatology by U.S. News & World Report (2024-2025), and the best pediatric orthopedic hospital in NY, NJ and CT by U.S. News & World Report "Best Children's Hospitals" list (2024-2025). In a survey of medical professionals in more than 20 countries by Newsweek, HSS is ranked world #1 in orthopedics for a fifth consecutive year (2025). Founded in 1863, the Hospital has the lowest readmission rates in the nation for orthopedics, and among the lowest infection and complication rates. HSS was the first in New York State to receive Magnet Recognition for Excellence in Nursing Service from the American Nurses Credentialing Center five consecutive times. An affiliate of Weill Cornell Medical College, HSS has a main campus in New York City and facilities in New Jersey, Connecticut and in the Long Island and Westchester County regions of New York State, as well as in Florida. In addition to patient care, HSS leads the field in research, innovation and education. The HSS Research Institute comprises 20 laboratories and 300 staff members focused on leading the advancement of musculoskeletal health through prevention of degeneration, tissue repair and tissue regeneration. In addition, more than 200 HSS clinical investigators are working to improve patient outcomes through better ways to prevent, diagnose, and treat orthopedic, rheumatic and musculoskeletal diseases. The HSS Innovation Institute works to realize the potential of new drugs, therapeutics and devices. The HSS Education Institute is a trusted leader in advancing musculoskeletal knowledge and research for physicians, nurses, allied health professionals, academic trainees, and consumers in more than 165 countries. The institution is collaborating with medical centers and other organizations to advance the quality and value of musculoskeletal care and to make world-class HSS care more widely accessible nationally and internationally. View source version on Contacts Tracy Hickenbottom/Rachael Rennich212-606-1197mediarelations@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health
HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

Yahoo

time14-06-2025

  • Health
  • Yahoo

HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

BARCELONA, Spain, June 14, 2025--(BUSINESS WIRE)--Hospital for Special Surgery (HSS) presented a research study at the European Alliance of Associations for Rheumatology (EULAR) Annual Meeting showing that an artificial intelligence (AI)-based model can predict readmissions of pregnant women with lupus by looking at patients' social factors and clinical comorbidities. Systemic lupus erythematosus (SLE), commonly known as lupus, is a chronic autoimmune disease in which the immune system attacks the individual's own healthy tissue, causing pain, inflammation, and eventually damage to various organs. It commonly affects young women, and pregnancy is a particularly vulnerable period for this high-risk population. Although lupus-related medical complications affect pregnancy outcomes, social determinants and economic conditions, known as social determinants of health (SDOH), may also be important in shaping maternal health outcomes. "Pregnant women with lupus have five times higher maternal mortality compared to those without lupus," said Sandhya Shri Kannayiram, MBBS, MD, rheumatology fellow at HSS and principal author of the study. "There is little data on how social factors, including Income, Insurance, housing stability, access to transportation, availability of utilities, and literacy, along with clinical comorbidities, affect pregnancy outcomes in individuals with lupus." To better understand how SDOH impact readmissions for pregnant patients with SLE, the team used ten-year data (from 2011 to 2021) from the National Readmissions Database of the US, encompassing approximately 66,000 hospitalizations in the United States, and counted the number of readmissions within 30 days of discharge during pregnancy and delivery. "We found that approximately 2,500 [pregnant women with lupus] were readmitted to the hospital within 30 days," said Dr. Kannayiram. "We used a supervised 'glass box' machine learning model called the Explainable Boosting Machine (EBM), which helped predict who is likely to return to the hospital within 30 days," said Dr. Kannayiram. She explained that EBM is a form of machine learning with a type of AI that learns from data to make predictions. "It's an AI model that can be trained on the dataset to predict outcomes with transparency and accuracy compared to traditional statistical models," she added. The team specifically examined the major social determinants from the database that may influence readmissions during pregnancy in SLE, including Income and insurance status (public, private, or self-pay). Dr. Kannayiram explained that the results obtained showed patients living in lower-income neighborhoods were nearly twice as likely to be readmitted compared to those from wealthier areas, and those with Medicaid or Medicare insurance were more likely to be readmitted within 30 days. Patients discharged to locations other than home, such as rehabilitation facilities or nursing homes, were also more likely to return. However, they also found unexpected correlations. "We found that the size of hospitals was highly related to readmissions, rather than the location, such as cities or rural areas," said Dr. Kannayiram, with large hospitals being the ones with more readmissions. Additionally, unlike most pregnancy studies, where older mothers are usually at higher risk, this study found that younger women with lupus were more likely to be readmitted. Dr. Kannayiram said that this result may be related to severe lupus in younger individuals since about half of the readmitted patients had Medicare coverage, which may suggest a high prevalence of disability or kidney disease within that younger population. By using the predictive AI model, the team also discovered that income and insurance status were among the top five predictors of 30-day readmission during pregnancy and delivery-related hospitalizations, explained Bella Mehta, MBBS, MS, MD, rheumatologist at HSS and lead author of the study. She noted that these results could inform targeted interventions, such as policy actions to advocate for improved Medicaid and Medicare coverage, as well as post-discharge care coordination. "Integrating SDOH screening into prenatal care for SLE patients, and incorporating a multidisciplinary team of social workers, could reduce preventable readmissions and improve maternal outcomes," added Dr. Mehta. According to Dr. Mehta, in future studies, the team plans to analyze in detail how individual-level social factors, such as housing instability, food insecurity, education, mental health, transportation access, and patient demographics, interact with clinical comorbidities to determine pregnancy outcomes for women with SLE. "This study underscores the vital intersection between clinical care and structural inequality," said Dr. Mehta. "The lupus community and broader maternal health initiatives must not only consider disease management but also address the social factors that influence outcomes." Poster details Title: Predictors of 30-Day Readmissions in Pregnant Patients with Systemic Lupus Erythematosus: The Role of Social Determinants of HealthAuthors: Sandhya Shri Kannayiram, Yiyuan Wu, Lisa Sammaritano, Michael Lockshin, Rich Caruna, D. Ware Branch, Jane E. Salmon, Bella n°: 2325Presentation: June 14th, 2025. 10:00 AM CEST About HSS HSS is the world's leading academic medical center focused on musculoskeletal health. At its core is Hospital for Special Surgery, nationally ranked No. 1 in orthopedics (for the 15th consecutive year), No. 3 in rheumatology by U.S. News & World Report (2024-2025), and the best pediatric orthopedic hospital in NY, NJ and CT by U.S. News & World Report "Best Children's Hospitals" list (2024-2025). In a survey of medical professionals in more than 20 countries by Newsweek, HSS is ranked world #1 in orthopedics for a fifth consecutive year (2025). Founded in 1863, the Hospital has the lowest readmission rates in the nation for orthopedics, and among the lowest infection and complication rates. HSS was the first in New York State to receive Magnet Recognition for Excellence in Nursing Service from the American Nurses Credentialing Center five consecutive times. An affiliate of Weill Cornell Medical College, HSS has a main campus in New York City and facilities in New Jersey, Connecticut and in the Long Island and Westchester County regions of New York State, as well as in Florida. In addition to patient care, HSS leads the field in research, innovation and education. The HSS Research Institute comprises 20 laboratories and 300 staff members focused on leading the advancement of musculoskeletal health through prevention of degeneration, tissue repair and tissue regeneration. In addition, more than 200 HSS clinical investigators are working to improve patient outcomes through better ways to prevent, diagnose, and treat orthopedic, rheumatic and musculoskeletal diseases. The HSS Innovation Institute works to realize the potential of new drugs, therapeutics and devices. The HSS Education Institute is a trusted leader in advancing musculoskeletal knowledge and research for physicians, nurses, allied health professionals, academic trainees, and consumers in more than 165 countries. The institution is collaborating with medical centers and other organizations to advance the quality and value of musculoskeletal care and to make world-class HSS care more widely accessible nationally and internationally. View source version on Contacts Tracy Hickenbottom/Rachael Rennich212-606-1197mediarelations@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health
HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

Business Wire

time14-06-2025

  • Health
  • Business Wire

HSS Study at EULAR 2025 Congress Uses an AI Model to Predict Readmissions of Pregnant Women with Lupus Based on Social Determinants of Health

BARCELONA, Spain--(BUSINESS WIRE)-- Hospital for Special Surgery (HSS) presented a research study at the European Alliance of Associations for Rheumatology (EULAR) Annual Meeting showing that an artificial intelligence (AI)-based model can predict readmissions of pregnant women with lupus by looking at patients' social factors and clinical comorbidities. Systemic lupus erythematosus (SLE), commonly known as lupus, is a chronic autoimmune disease in which the immune system attacks the individual's own healthy tissue, causing pain, inflammation, and eventually damage to various organs. It commonly affects young women, and pregnancy is a particularly vulnerable period for this high-risk population. Although lupus-related medical complications affect pregnancy outcomes, social determinants and economic conditions, known as social determinants of health (SDOH), may also be important in shaping maternal health outcomes. 'Pregnant women with lupus have five times higher maternal mortality compared to those without lupus,' said Sandhya Shri Kannayiram, MBBS, MD, rheumatology fellow at HSS and principal author of the study. 'There is little data on how social factors, including Income, Insurance, housing stability, access to transportation, availability of utilities, and literacy, along with clinical comorbidities, affect pregnancy outcomes in individuals with lupus.' To better understand how SDOH impact readmissions for pregnant patients with SLE, the team used ten-year data (from 2011 to 2021) from the National Readmissions Database of the US, encompassing approximately 66,000 hospitalizations in the United States, and counted the number of readmissions within 30 days of discharge during pregnancy and delivery. 'We found that approximately 2,500 [pregnant women with lupus] were readmitted to the hospital within 30 days,' said Dr. Kannayiram. 'We used a supervised 'glass box' machine learning model called the Explainable Boosting Machine (EBM), which helped predict who is likely to return to the hospital within 30 days,' said Dr. Kannayiram. She explained that EBM is a form of machine learning with a type of AI that learns from data to make predictions. 'It's an AI model that can be trained on the dataset to predict outcomes with transparency and accuracy compared to traditional statistical models,' she added. The team specifically examined the major social determinants from the database that may influence readmissions during pregnancy in SLE, including Income and insurance status (public, private, or self-pay). Dr. Kannayiram explained that the results obtained showed patients living in lower-income neighborhoods were nearly twice as likely to be readmitted compared to those from wealthier areas, and those with Medicaid or Medicare insurance were more likely to be readmitted within 30 days. Patients discharged to locations other than home, such as rehabilitation facilities or nursing homes, were also more likely to return. However, they also found unexpected correlations. 'We found that the size of hospitals was highly related to readmissions, rather than the location, such as cities or rural areas,' said Dr. Kannayiram, with large hospitals being the ones with more readmissions. Additionally, unlike most pregnancy studies, where older mothers are usually at higher risk, this study found that younger women with lupus were more likely to be readmitted. Dr. Kannayiram said that this result may be related to severe lupus in younger individuals since about half of the readmitted patients had Medicare coverage, which may suggest a high prevalence of disability or kidney disease within that younger population. By using the predictive AI model, the team also discovered that income and insurance status were among the top five predictors of 30-day readmission during pregnancy and delivery-related hospitalizations, explained Bella Mehta, MBBS, MS, MD, rheumatologist at HSS and lead author of the study. She noted that these results could inform targeted interventions, such as policy actions to advocate for improved Medicaid and Medicare coverage, as well as post-discharge care coordination. 'Integrating SDOH screening into prenatal care for SLE patients, and incorporating a multidisciplinary team of social workers, could reduce preventable readmissions and improve maternal outcomes,' added Dr. Mehta. According to Dr. Mehta, in future studies, the team plans to analyze in detail how individual-level social factors, such as housing instability, food insecurity, education, mental health, transportation access, and patient demographics, interact with clinical comorbidities to determine pregnancy outcomes for women with SLE. 'This study underscores the vital intersection between clinical care and structural inequality,' said Dr. Mehta. 'The lupus community and broader maternal health initiatives must not only consider disease management but also address the social factors that influence outcomes.' Poster details Title: Predictors of 30-Day Readmissions in Pregnant Patients with Systemic Lupus Erythematosus: The Role of Social Determinants of Health Authors: Sandhya Shri Kannayiram, Yiyuan Wu, Lisa Sammaritano, Michael Lockshin, Rich Caruna, D. Ware Branch, Jane E. Salmon, Bella Mehta. Abstract n°: 2325 Presentation: June 14 th About HSS HSS is the world's leading academic medical center focused on musculoskeletal health. At its core is Hospital for Special Surgery, nationally ranked No. 1 in orthopedics (for the 15th consecutive year), No. 3 in rheumatology by U.S. News & World Report (2024-2025), and the best pediatric orthopedic hospital in NY, NJ and CT by U.S. News & World Report 'Best Children's Hospitals' list (2024-2025). In a survey of medical professionals in more than 20 countries by Newsweek, HSS is ranked world #1 in orthopedics for a fifth consecutive year (2025). Founded in 1863, the Hospital has the lowest readmission rates in the nation for orthopedics, and among the lowest infection and complication rates. HSS was the first in New York State to receive Magnet Recognition for Excellence in Nursing Service from the American Nurses Credentialing Center five consecutive times. An affiliate of Weill Cornell Medical College, HSS has a main campus in New York City and facilities in New Jersey, Connecticut and in the Long Island and Westchester County regions of New York State, as well as in Florida. In addition to patient care, HSS leads the field in research, innovation and education. The HSS Research Institute comprises 20 laboratories and 300 staff members focused on leading the advancement of musculoskeletal health through prevention of degeneration, tissue repair and tissue regeneration. In addition, more than 200 HSS clinical investigators are working to improve patient outcomes through better ways to prevent, diagnose, and treat orthopedic, rheumatic and musculoskeletal diseases. The HSS Innovation Institute works to realize the potential of new drugs, therapeutics and devices. The HSS Education Institute is a trusted leader in advancing musculoskeletal knowledge and research for physicians, nurses, allied health professionals, academic trainees, and consumers in more than 165 countries. The institution is collaborating with medical centers and other organizations to advance the quality and value of musculoskeletal care and to make world-class HSS care more widely accessible nationally and internationally.

Unite Us Launches its Closed-Loop Referral Platform for Social Care Availability in AWS Marketplace
Unite Us Launches its Closed-Loop Referral Platform for Social Care Availability in AWS Marketplace

Yahoo

time10-03-2025

  • Business
  • Yahoo

Unite Us Launches its Closed-Loop Referral Platform for Social Care Availability in AWS Marketplace

Unite Us' closed-loop referral system is now available in AWS Marketplace, improving accessibility for organizations to purchase secure and innovative technology that addresses Social Drivers of Health (SDOH) and reaches a broader global audience. New York, New York--(Newsfile Corp. - March 10, 2025) - Unite Us, the nation's trusted technology partner for social care transformation, today announced that its closed-loop referral system is now available in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). This builds on an existing relationship between the two companies and represents a significant milestone, as Unite Us' technology becomes more accessible to enterprise customers seeking fast, flexible access to innovative social care solutions. Unite Us' listing allows AWS customers to buy the company's platform to coordinate care, close service gaps, and drive better outcomes-while benefiting from AWS's trusted infrastructure. "This marks a major milestone in our mission to scale connections within communities to improve whole health. By making our solutions more accessible via AWS Marketplace, we empower organizations to build stronger, more efficient, collaborative non-clinical care network capabilities that only AWS and Unite Us can offer," said Taylor Justice, co-founder and president of Unite Us. Benefits of Unite Us in AWS Marketplace: Scalability: Unite Us runs on the flexible, scalable, pay-as-you-go AWS infrastructure, allowing organizations to expand their programs efficiently. Integration: Unite Us' platform seamlessly integrates with customers' existing on-premises environments while providing the benefits of the cloud. Improved Visibility: As a recommended product on AWS, Unite Us gains access to AWS's extensive customer base, driving awareness and adoption of Unite Us' closed-loop referral system. Ease of Procurement: Leverage your interested parties can leverage current relationships and procurement methods with AWS to purchase the Unite Us Platform, simplifying the procurement process by utilizing AWS Marketplace. This relationship continues to enhance Unite Us' mission to address social drivers of health through a scalable, data-driven approach. AWS's secure, flexible, and scalable solutions complement Unite Us' innovative technology, empowering communities and driving whole-person care. Unite Us, Your Partner for Social Care To view an enhanced version of this graphic, please visit: About Unite Us: Unite Us is the nation's premier technology provider for transforming social care. Our advanced product suite is used to proactively support those in need through analytics, streamline processes, send and track referrals, and facilitate eligibility and reimbursements across government, healthcare, health plans, and community organizations. The first of its kind, our closed-loop referral system prioritizes privacy and dignity and has integrated data and analytics tools used to measure impact, optimize programs, and shape policy. With over 1.5M services, we host the nation's largest network of community-based health and social services dedicated to improving whole-person health. Learn more at and LinkedIn. Unite Us Media Contact:communications@ To view the source version of this press release, please visit

Fierce Healthcare Names Holon Health a "Fierce 15" Company of 2025
Fierce Healthcare Names Holon Health a "Fierce 15" Company of 2025

Yahoo

time03-03-2025

  • Business
  • Yahoo

Fierce Healthcare Names Holon Health a "Fierce 15" Company of 2025

RICHMOND, Va., March 03, 2025--(BUSINESS WIRE)--Holon Health, a multi-specialty provider including primary care and psychiatry that bridges the gaps in care for people with substance use disorder (SUD) by providing health evaluations and care plan management, today announced that Fierce Healthcare has named it as one of 2025's "Fierce 15" healthcare companies. The annual special report features the most innovative private healthcare companies looking to change the face of the industry. "Our innovative, evidence-based collaborative care approach for those living with SUD is delivering significant results for an often overlooked community. In the U.S. it is estimated that 23 million justice-involved individuals grapple with Social Determinants Of Health (SDOH) barriers like housing instability, unemployment, and limited healthcare access. Of this group, 70% have been diagnosed with SUD and 78% have undiagnosed mental health conditions. Our services paired with our Holon Vibe app address common SDOH barriers to improve engagement, service satisfaction, and outcomes," said Jason Herzog, CEO and co-founder of Holon Health. This recognition comes on the heels of a year that saw significant growth and momentum for Holon Health: The company experienced explosive growth; from January to December (2024) revenue increased by 6,249%. Holon Health launched its multi-modal digital therapeutic app, Holon Vibe. Designed with a Solution-Focused Therapy approach, Holon Vibe facilitates motivation, affirmation, coping skills, problem-solving, and pro-social behaviors through contingency management (cash rewards), daily reminders, psychoeducational content, mentorship/coaching, and peer support. Holon Vibe increased patient engagement (patients who log in to Holon Vibe weekly) by 2,764% and patient logins by 3,512% from January to December (2024). Additional data includes: A 65%+ show rate for users who make appointments (Appointment no-shows are prevalent in addiction treatment settings; 29%–42% fail to begin treatment) Holon Health clients experienced a 61-day increase in sober days over a 6-month period compared to non-Holon peers. Clients experienced a 7%+ reduction in positive drug test rates over a 6-month period. "For the past seven years, we have assessed hundreds of private companies for inclusion in the 'Fierce 15' special report. The selection spans diverse sectors within the industry, from primary care and health payers to health technology and AI-enabled software," said Ayla Ellison, Editor-in-Chief, Fierce Life Sciences and Healthcare. "Our special report celebrates innovation and creativity in the face of intense competition." About Fierce Healthcare Fierce Healthcare delivers healthcare news at the intersection of business and policy. Our journalists strive to bring our readers breaking industry news, exclusive interviews and thoughtfully-reported stories that offer a deeper insight on how changes in the industry impact their corner of the healthcare world. Our family includes Fierce Healthcare, Fierce Health Payer, Fierce Health Tech, Fierce Hospitals, Fierce Practice Management and Fierce Health Finance. Click here to subscribe to one or all of our newsletters. ABOUT HOLON HEALTH - Holon Health is a healthcare tech start-up taking an innovative approach to providing high-quality care to a marginalized community–those living with substance use disorders (SUD) and involved in the criminal justice system. As a multi-specialty provider, including primary care and psychiatry, the company bridges the care gaps for people with SUD by providing health evaluations and care plan management via its multi-modal digital therapeutic app, Holon Vibe. View source version on Contacts For media inquiries, please contact:Kristin Faulder (on behalf of Holon Health)(586) 419.4652kristin@ Sign in to access your portfolio

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