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ACC HeartCARE Center Designation Reaches Milestone at 100 Hospitals

17 June 2026 at 21:15

In a landmark achievement for cardiovascular care, one hundred hospitals across the United States have been awarded the prestigious American College of Cardiology (ACC) HeartCARE Center designation. This recognition represents the pinnacle of commitment to delivering superior, patient-centered cardiovascular treatment. Introduced in 2018, the HeartCARE Center designation is the ACC’s most esteemed accolade for hospitals and health systems, acknowledging institutions that exhibit sustained clinical excellence through comprehensive accreditation, rigorous performance monitoring via data analytics, and ongoing quality improvement processes.

This milestone reflects the ACC’s unwavering dedication to advancing the standards by which cardiovascular services are delivered nationwide. The hospitals recognized demonstrate adherence to evidence-based clinical protocols, participation in continuous quality enhancement initiatives, and the achievement of measurable patient outcomes that transcend regional disparities. Steven B. Deitelzweig, MD, MMM, FACC, chair of the ACC Accreditation Oversight Committee, emphasized the significance of this accomplishment, highlighting that these institutions collectively enhance cardiovascular care quality, ensuring access for patients wherever they reside.

The HeartCARE Center designation is conferred upon organizations that meet stringent criteria encompassing participation in a minimum of two ACC Accreditation Services programs and engagement with National Cardiovascular Data Registry (NCDR) registries. These registries serve as pivotal platforms for tracking and benchmarking clinical outcomes, enabling hospitals to pinpoint and bridge gaps in guideline-based care implementation. Furthermore, targeted quality improvement campaigns such as the Patient Navigator Program: Focus MI support institutions in closing those gaps through structured, scientifically grounded interventions.

Beyond accreditation and registry participation, the HeartCARE Center program integrates robust continuous performance measurement mechanisms. This integration fosters a culture of accountability and data-driven decision-making within hospitals, enabling them to consistently execute guideline-directed care pathways. The approach is designed not only to improve clinical outcomes for cardiovascular patients but also to enhance process efficiency and interprofessional collaboration across care teams, thereby standardizing high-quality care delivery throughout participating institutions.

As an integral component of the ACC’s broader Quality Improvement for Institutions initiative, the HeartCARE Center designation symbolizes organizational leadership in sustainable quality improvement. These hospitals exemplify best practices in process optimization, specialty-specific accreditation, clinical staff development, and active engagement with their surrounding communities. Collectively, these elements work synergistically to establish a new benchmark for coordinated, patient-centered cardiovascular care, expanding patient access to state-of-the-art heart health interventions locally.

By earning the HeartCARE Center designation, hospitals demonstrate not just isolated achievements but a persistent commitment to maintaining and advancing quality care across the entire spectrum of cardiovascular medicine. Dr. Deitelzweig noted that the rigorous standards required for designation translate into tangible benefits for patients, including improved survival rates, reduced complication incidences, and broader availability of the latest evidence-supported therapies. This systematic elevation of care quality promises to transform cardiovascular outcomes on a national scale.

The ACC’s strategic emphasis on integrating data from accreditation services and NCDR registries enables participating institutions to continuously refine clinical protocols in response to emerging evidence and outcome trends. This data-centric framework underpins the excellence recognized by the HeartCARE Center program, equipping hospitals with actionable insights for enhancing care pathways, reducing practice variability, and advancing the science of cardiovascular treatment delivery.

Technological advancements and sophisticated analytics play central roles in this process improvement paradigm. The ability to harness large-scale clinical data sets from the NCDR registries facilitates risk-adjusted benchmarking, enabling institutions to evaluate performance relative to national standards. This capability supports precision targeting of quality improvement efforts—ensuring resources are effectively allocated to areas with the greatest potential to impact patient care outcomes.

Community outreach and patient engagement initiatives are further hallmarks of HeartCARE Centers. These institutions not only excel internally but also proactively extend their knowledge and services beyond hospital walls. By fostering partnerships with local health organizations and enhancing public health education, HeartCARE Centers contribute to the prevention and early detection of cardiovascular disease, thereby addressing systemic health disparities and promoting holistic cardiovascular wellness.

Moreover, the multidisciplinary nature of cardiovascular care teams within HeartCARE Centers underscores the program’s emphasis on comprehensive treatment. Cardiologists, cardiac surgeons, nurses, rehabilitation specialists, and other healthcare professionals collaborate seamlessly to deliver continuity of care that is responsive to individual patient needs. This integrated care model has been shown to enhance adherence to treatment plans, improve functional recovery, and reduce hospital readmission rates.

Sustained professional education and credentialing efforts complement these clinical advancements, ensuring that healthcare providers within HeartCARE Centers remain at the forefront of cardiovascular medicine. The ACC’s broader infrastructure supports these goals through its renowned JACC journals, certification programs, and educational symposia, cultivating a workforce primed to apply innovative therapies grounded in rigorous scientific evidence.

Collectively, the achievement of 100 HeartCARE Center designations signals a transformative moment for cardiovascular care delivery in the United States. The program’s emphasis on data-driven quality improvement, comprehensive accreditation, and community-centered care sets a new standard that other healthcare disciplines may emulate. As more hospitals join the ranks of HeartCARE Centers, patients nationwide stand to benefit from enhanced outcomes, greater consistency in treatment, and access to cutting-edge, guideline-based cardiovascular therapies.

For those interested in reviewing the complete listing of hospitals designated as ACC HeartCARE Centers, further information is accessible through the ACC’s official platform. This transparency aids healthcare leaders, clinicians, and patients alike in identifying centers that exemplify clinical excellence and serves to incentivize continued quality advancements in cardiovascular medicine.

The American College of Cardiology remains steadfast in its mission to transform cardiovascular care globally. With a community exceeding 60,000 cardiovascular professionals across more than 140 countries, the ACC drives innovation, education, and advocacy, dedicated to optimizing heart health outcomes through scientific rigor and clinical leadership. The HeartCARE Center designation exemplifies this mission, heralding a future in which standardized, high-quality cardiovascular care is universally accessible.


News Publication Date: Not specified in the source content.

Web References: https://cvquality.acc.org/accreditation/heartcare-center-recognition-program/participating-facilities

Keywords: Cardiovascular care, HeartCARE Center designation, American College of Cardiology, ACC Accreditation, Quality Improvement, NCDR registries, Patient-centered care, Evidence-based treatment, Cardiovascular outcomes, Clinical excellence, Data-driven healthcare, Cardiology hospitals

Exploring Rural-Urban Disparities in Mental Health Care Utilization Among Veterans with Serious Mental Illness

17 June 2026 at 08:19

An in-depth retrospective cohort analysis published in The Journal of Rural Health unveils critical disparities in the accessibility and utilization of mental health care services for US Veterans diagnosed with serious mental illness (SMI). This comprehensive study, encompassing data on 387,477 Veterans receiving care through the Veterans Health Administration (VHA) between 2018 and 2022, highlights a troubling trend: rural Veterans not only exhibit higher rates of co-occurring mental health disorders but are simultaneously less likely to receive the specialized care they require compared to their urban counterparts.

The investigation delved into demographic and clinical records, revealing that approximately 28% of Veterans with SMI reside in rural areas. Intriguingly, rural Veterans demonstrated an increased prevalence of comorbid mental health conditions, particularly anxiety disorders and posttraumatic stress disorder (PTSD), which compound the complexity of their clinical profiles. This heightened burden of mental health challenges among rural Veterans suggests a pressing need to tailor healthcare delivery models that address their unique circumstances.

A glaring issue identified by the study is the pronounced disparity in accessing specialized mental health care. Rural Veterans had 38% lower odds of receiving dedicated SMI services under the VHA compared to urban Veterans. Furthermore, the likelihood of rural Veterans engaging in video-to-home telehealth mental health visits—a critical modality in bridging geographic gaps—was 15% lower. Outpatient mental health appointments were 13% less frequent for those in rural locations, and the receipt of multidisciplinary care, a gold standard for managing complex psychiatric conditions, was reduced by 10%.

These disparities persisted even after controlling for key demographic factors such as age, race, ethnicity, gender, marital status, and service connection status, underscoring a systemic issue beyond patient characteristics. The analysis points to structural and logistical barriers inherent in rural healthcare ecosystems, including limited availability of specialized providers, transportation challenges, and potential stigma associated with seeking mental health services within smaller communities.

Age, gender, racial and ethnic backgrounds, alongside social factors, were found to influence subsequent care engagement. Specifically, older Veterans, those identifying as white, non-Hispanic or Latino, male, widowed, or without service connection recognition had a lower probability of accessing follow-up mental health services. These demographic insights provide a nuanced understanding of vulnerability, suggesting intersections of identity and social context shape healthcare trajectories.

Technological solutions like telehealth hold promise in mitigating access barriers, particularly for geographically isolated veterans. However, the study’s findings reveal that rural Veterans are not equally availing themselves of these resources. Potential factors include limitations in broadband infrastructure, digital literacy gaps, and varying degrees of acceptance of telemedicine within rural cultures. This emphasizes the need for targeted interventions that enhance digital inclusivity and promote telehealth as a viable, trusted form of care delivery.

The multifaceted nature of SMI management necessitates coordinated, multidisciplinary approaches encompassing psychiatrists, psychologists, social workers, and primary care providers. Rural Veterans’ lower engagement with such comprehensive care models may result in suboptimal health outcomes, including increased symptom severity, higher hospitalization rates, and overall diminished quality of life. Addressing this care gap is paramount to advancing equity and improving mental health outcomes among this vulnerable population.

According to Alexandra B. Caloudas, PhD, from the Michael E. DeBakey Veterans Affairs Medical Center in Houston and the corresponding author of the study, the Veterans Health Administration offers some of the most sophisticated mental health services globally, including expansive telehealth options engineered to transcend geographical barriers. The study’s findings, however, reveal a critical opportunity to redouble efforts in ensuring rural Veterans are not only aware of these available services but are adequately supported to engage with them.

Targeted outreach programs designed to dismantle the unique barriers rural Veterans face could leverage community partnerships, mobile health units, and culturally competent communication strategies. Such initiatives may enhance trust, reduce stigma, and foster navigation of complex healthcare systems. Additionally, investing in rural healthcare infrastructure and workforce development could alleviate provider shortages and bring multidisciplinary care closer to Veterans’ homes.

The implications of these findings are profound, signaling that policy reforms and resource allocation must adapt to the distinct needs of rural populations living with SMI. This entails embedding equity-focused strategies within the broader mental health care framework of the VHA, ensuring that rural Veterans receive care consistent with clinical guidelines and equivalent in quality and intensity to that available in urban settings.

The study also invites further research into the underlying causes of the observed disparities, exploring not only patient- and system-level determinants but also the social determinants of health that uniquely impact rural Veterans. Understanding these facets is essential to crafting sustainable, effective interventions that bridge gaps in care and improve long-term mental health outcomes.

As the veteran population ages and rural areas continue to grapple with healthcare access challenges, harnessing innovative technologies and policy measures to optimize mental health service delivery becomes an urgent public health priority. This analysis serves as a clarion call for stakeholders within the VHA, policymakers, researchers, and community leaders to collaboratively forge paths toward inclusivity and quality care for all Veterans, irrespective of their geographic location.

In summary, the study underscores a complex landscape wherein rural Veterans with serious mental illness face compounded adversities—from a higher burden of mental health comorbidities to systemic underutilization of vital care modalities. By illuminating these rural-urban disparities with robust data and nuanced analysis, the research charts a course for enhancing mental health equity and improving the lives of those who have served.


Subject of Research: Mental health care disparities between rural and urban US Veterans with serious mental illness receiving care through the Veterans Health Administration.

Article Title: Rural-urban differences in use of mental health care for serious mental illness at the Veterans Health Administration: A retrospective cohort analysis

News Publication Date: 17-Jun-2026

Web References:
The Journal of Rural Health
DOI: 10.1111/jrh.70173

Keywords: Mental health, serious mental illness, Veterans, rural health, urban health, telehealth, healthcare disparities, anxiety disorders, posttraumatic stress disorder, healthcare delivery, Veterans Health Administration, multidisciplinary care

How Dead Trees and Plants Continue to Shape Thriving Ecosystems After Death

10 June 2026 at 20:00
How Dead Trees and Plants Continue to Shape Thriving Ecosystems After Death

The cycle of life and death in nature extends far beyond what meets the eye, with deceased organisms playing crucial roles in shaping the fate of entire ecosystems long after they’ve perished. While the sight of mushrooms sprouting from fallen logs or insects colonizing dead trees is familiar to many nature observers, new research reveals that this phenomenon operates on a much grander scale than previously understood.

Scientists have discovered that when “foundation species” – the cornerstone plants and animals that provide structure and resources for entire ecological communities – die, their remains continue to exert powerful influence over the survival and prosperity of other organisms. These dead giants don’t simply disappear; instead, they become environmental architects, creating new habitats and resource opportunities that can sustain diverse communities for years or even decades.

The research highlights how a single fallen tree can transform into a bustling metropolis of life, hosting everything from decomposer fungi to predatory beetles, each playing their part in an intricate web of interactions. This “afterlife ecology” demonstrates that death in nature isn’t an ending but rather a transformation – dead wood becomes nursery habitat, decaying leaves enrich soil chemistry, and empty shells provide shelter for new inhabitants.

Understanding these post-mortem ecological relationships is becoming increasingly important as climate change and habitat destruction threaten foundation species worldwide. When these keystone organisms disappear, their ecological influence continues, but the loss of new recruitment means ecosystems may face long-term structural changes that ripple through entire food webs.

The post How Dead Trees and Plants Continue to Shape Thriving Ecosystems After Death first appeared on EnviroLink Network.

AWS targets a longtime cloud migration blocker with SQL Server license portability

6 June 2026 at 00:29

Licensing can be complicated, particularly when enterprises are forced to double-pay because the software they already own is only licensed for a specific environment, and moving it requires a whole different licensing model. Without proper portability rights, they need to make additional financial investments to run the same workloads in a different home.

AWS says its new Bring Your Own Media (BYOM) service eliminates this duplication. Customers can now reuse their existing Microsoft SQL Server media and licenses on Amazon Relational Database Service (RDS) with no additional licensing fees.

This means enterprises no longer have to justify workload migrations to the cloud against existing licensing commitments and infrastructure investments, AWS said.

“What used to be a licensing barrier between operational SQL Server data and agentic AI is now gone,” AWS data engineer Srikanth Katakam and product marketing manager Colleen Betik wrote in a blog post announcing the service.

Avoiding the double-licensing problem

To drive true value, agentic AI apps must have access to elastic GPU capacity as well as direct, low-latency access to the data they need to reason and make decisions. But, AWS argued, that can be difficult in self-managed data centers and on premises infrastructure with limited access to agentic AI cloud-native services. But a lot of enterprise data lives in Microsoft SQL Server, and until now customers have had to pay for a second license to use a fully managed cloud service like RDS.

Now, with BYOM on Amazon RDS for SQL Server, enterprises can reuse their existing SQL Server Enterprise Edition or Standard Edition licenses through a “lift-and-shift” model. This brings their data into a fully-managed environment.

According to the licensing distribution terms, enterprises must provide their licensed SQL Server Release to Manufacturing (RTM) media to Amazon RDS. They can then upload that media to Amazon S3 and launch BYOM instances. Enterprises must configure AWS License Manager to perform automatic instance tracking.

From there, RDS automates patching, backups, high availability, and monitoring, while providing direct access to agentic AI and analytics services native to AWS. The platform also reports vCPU usage to provide visibility into SQL Server license usage, Katakam and Betik wrote.

“You do not need to choose between protecting your SQL Server licensing investments and giving your data a path to the AWS analytics and agentic AI services redefining what’s possible in the cloud,” they said. 

It’s important to note that this service is only available to enterprises with Microsoft Software Assurance (SA), an add-on which supports mobility and rehosting of existing licenses. Enterprises must verify that their SQL Server licenses comply with Microsoft’s licensing agreement, and that they have a SQL Server License (Standard or Enterprise) with SA. They also must submit a License Mobility Verification Form to Microsoft; it, in turn, will notify AWS once verification is complete.

AWS emphasized that enterprises remain responsible for compliance; it does not block operations if license limits are exceeded.

More control over workloads, loosening Microsoft’s grip

The advantage of this service, explained Mike Leone, principal analyst at Moor Insights & Strategy, is that enterprises can get a Microsoft SQL Server workload onto a managed AWS service without rewriting it for Aurora or paying for the license twice. This means they can modernize on their own schedule rather than being forced into rewrites before they’re ready.

“For a lot of shops, that control over timing is worth more than the license saving itself,” Leone said.

This also loosens Microsoft’s grip on enterprise workloads, because organizations finally have somewhere else to run SQL Server using licenses they already own, he noted. Realistically, their dependency shifts to AWS rather than disappearing entirely, as their data ends up living next to AWS’s AI services.

“For a lot of teams, that’s a trade they’re glad to make for the managed infrastructure and the AI tooling they get in return,” Leone said.

Yaz Palanichamy, a senior advisory analyst at Info-Tech Research Group, also pointed to significant improvements stemming from the migration. Notably, it allows organizations to transition away from static, linear, or reactive storage capabilities towards more dynamically intelligent environments.

“The key is to balance the unification of transactional data towards managed AI and machine learning pipelines,” he said.

Enterprises take on new responsibilities

The catch? Leone noted that enterprises now own the task of licensing compliance. Staying current on SA, the Microsoft maintenance contract that makes any of this legal, and the license mobility rules, “become your headache instead of something baked into the bill,” he said.

Furthermore, he added, lift-and-shift has a way of turning into “lift-and-forget” when enterprises move SQL Server as-is and never actually modernize, “so you end up carrying all the old baggage onto a shinier platform.”

Palanichamy also pointed to skyrocketing AWS costs, since operationalizing AI agents requires a considerable amount of data ingestion and querying. This can potentially be cost prohibitive on RDS for SQL Server.

“One aspect to consider would be the relative time to production value, so that enterprises can better handle the management of volatile AI workloads,” he said.

Just one challenge in the AI race

Although AWS frames licensing complexity as a roadblock to agentic AI, analysts say it’s really just one piece of the puzzle.

Organizations are not in an AI-ready state due to a number of factors, Palanichamy noted. This could be total cost of ownership (TCO)-related, a lack of appropriate acceptable use policies (AUPs), or concerns around security and compliance.

If and when enterprises are ready to adopt AI, they must perform thorough needs analysis/process optimization benchmarking exercises to determine what workflows could benefit from the technology, he said, and, conversely, flag workflows where AI could prove “an impediment or potential disservice.”

Leone also pointed out that moving SQL Server onto RDS doesn’t “magically make your data agent-ready,” nor does it make it smarter. The data proximity and managed plumbing are what actually support agents. Sitting data next to Bedrock and the rest of AWS’s AI services means builders “stop wasting time shipping the data around or building one-off integrations every time an agent needs it.”

Ultimately, though, licensing isn’t the real issue when it comes to AI; it’s more of a migration problem. The real roadblocks are messy data, questionable governance, and teams that aren’t ready to run it in production, and, Leone said, “no change to a license bill touches a single one of them.”

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