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October 24.2026
3 Minutes Read

What the 2026 AHA/ASA Guideline Means for Stroke Patient Transfers

The Full Picture: What It Takes to Make an Informed Stroke Transfer Decision

The Critical Role of Decision-Making in Stroke Care

In acute stroke scenarios, every decision can be life-altering. As highlighted in a recent webinar hosted by Viz.ai and Access TeleCare, the dynamics of deciding whether a patient should remain at a community hospital or be transferred to a specialized center involves multiple stakeholders. This needs assessment aligns with the 2026 AHA/ASA guidelines, which are reshaping how hospitals approach stroke care decisions.

Dr. Danison Emmerson emphasized that the decision-making process is not made lightly. It involves multiple team members including family, emergency staff, neurologists, and neurosurgeons, often taken in high-pressure environments. It’s imperative that when the stakes are this high, all relevant data be available to support an informed choice.

Guidelines Reshaping Hospital Protocols

The recent guidelines place greater expectations on local hospitals, insisting they are prepared to manage cases more effectively. One notable shift is that there is now a clear directive against transferring patients with large vessel occlusion (LVO) to a distant thrombectomy-capable center if the local facility has shown proficiency in thrombolysis management. According to the guidelines, if the care can be rendered locally without jeopardizing patient outcomes, it should be.

For hospitals, this means ensuring protocols are in place that prioritize patient needs while adhering to operational guidelines. Quick transfer protocols for patients requiring higher levels of care can significantly impact outcomes, decreasing the time they spend at the door of their current facility.

Factors Influencing Transfer Decisions

Dr. Tim Showalter presented critical factors that influence the decision of whether to keep or transfer a patient. These include not only the specifics of where the occlusion is located but several hospital-specific variables. At 2 AM, critical elements like the availability of imaging, neurologists, and bed capacity take precedence, often overshadowing the patient’s needs. In the absence of this crucial information, the local teams may feel compelled to opt for transfer simply because they lack the complete picture.

The Role of Advanced Imaging and Communication

This is where technological advances like those provided by Viz.ai can make a significant impact. The integration of automated imaging processes allows for real-time sharing of critical data among medical teams. Viz.ai’s software highlights potential LVOs and shares images across platforms, ensuring that everyone on the care team sees the same data simultaneously, thereby streamlining the decision-making process.

By providing automated analysis of CT scans and real-time alerts, Viz.ai enhances resource allocation and communication between local hospitals and referral centers. This means that when a decision to transfer is necessary, it is backed by timely and accurate data, rather than ambiguity or assumptions.

A Collaborative Approach to Patient Care

The guidelines smartly advocate for a collaborative approach to patient care that aligns with technology integration. The ability for remote specialists to be part of the initial assessment provides further insight and augments the decision-making process. Hospitals can benefit by utilizing telemedicine to enhance communication and facilitate patient assessments, ultimately serving the patient’s best interest.

Conclusion: Preparing for Future Healthcare Challenges

As the healthcare landscape continues to evolve, embracing these AHA/ASA guidelines and the technology that supports them is essential for community hospitals. The combination of better-trained staff, advanced imaging protocols, and effective communication tools can ensure that stroke patients receive timely, appropriate care. By focusing on both local management and timely referral processes, hospitals can drastically improve patient outcomes in the critical minutes following a stroke.

The demand for high-quality stroke care isn't going away. Instead of pushing to transfer every patient, medical teams should focus on establishing protocols that use both expertise and technology to provide the best patient-centered care possible.

What’s Next in AI Health

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11.05.2026

Revolutionizing Library Updates: Automated Dependency Management in Microservices

Update The Innovation Behind Automated Dependency Management In a world where speed and efficiency are paramount, teams often struggle against the inertia of manual processes. At Viz.ai, the Platform team has developed a streamlined strategy to address the repetitive and time-consuming issue of library updates across over 100 microservices. By implementing tools like Renovate and a custom merge runner, the team has transformed the way they manage library dependencies, allowing for automated updates without manual intervention. This shift not only enhances productivity but also ensures that improvements are rapidly implemented across the board. Understanding the Cost of Manual Dependency Updates Every software engineer can relate to the frustrating reality of waiting for others to adopt new library updates. A promising update, often a mere one-line code change, can linger unutilized as developers prioritize their existing workloads. At Viz.ai, each manual update costs about 20 minutes of a developer's concentration. When scaled across a massive environment of 100+ Python microservices, this manual process compounds into substantial productivity losses. This poses a critical challenge: how to ensure that all teams are aligned in keeping their services up-to-date without derailing their primary focus. Empowering Microservices with Shared Modules The core of Viz.ai’s solution lies in the concept of shared modules. These modules serve as the intermediary that connects individual services with their respective infrastructure. This architectural strategy not only decentralizes the decision-making around infrastructure interactions but also promotes rapid innovation in product code. By centralizing updates through shared modules, every microservice benefits from the latest improvements without the need for each team to tackle dependencies independently. Automation: Reducing Risk and Increasing Trust Implementing automated updates carries inherent risks. However, the system employed by Viz.ai validates every change through a comprehensive CI and QA pipeline. If any updates fail to meet quality criteria, the system automatically reverts to the previous version. This diligent oversight not only alleviates the burden from developers but also ensures the integrity of production deployments. The trust placed in this automated system has allowed the Platform team to achieve an impressive 93% automation rate in their bump merges, transforming a once tedious process into an efficient and reliable endeavor. Addressing Vulnerabilities with Swift Updates In the ever-evolving landscape of technology, security remains a critical concern. When common vulnerabilities and exposures (CVEs) arise, the consequences of delayed updates can be dire. The automated system at Viz.ai significantly mitigates this risk by enabling teams to patch vulnerabilities promptly, without adding to developers' already heavy workloads. As a result, the organization can maintain a solid security posture while ensuring that the latest improvements and fixes are consistently integrated into production systems. The Human Element: Changing Mindsets Alongside technology, changing team culture is fundamental to successfully adopting automation. As the Platform team leads this transformation, it’s essential to foster a sense of shared responsibility among developers. Engaging teams in discussions about the benefits of automated updates can help cultivate buy-in and encourage widespread adoption of the new practices. The ultimate goal is to create an environment where rapid deployments become the norm and developers are empowered to innovate without being held back by procedural barriers. Conclusion: Embracing the Future of Software Engineering The journey undertaken by Viz.ai showcases the significant impact that automation can have on library management in complex microservice architectures. By eliminating the burden of manual dependency updates, the Platform team has not only enhanced productivity but also fostered a culture of continuous improvement. This case study serves as a beacon for other organizations facing similar challenges, demonstrating that with the right tools and mindset, it’s possible to overcome systemic inefficiencies. The evolution towards automated dependency management is not just about technology; it’s about evolving as engineers and as a community ready to face the future.

04.24.2026

How Viz.ai's Imaging Architecture Drives Fast and Predictable Care

Update Transforming Emergency Response: The Role of Imaging in Stroke CareEvery second counts in emergency medicine, especially in cases of stroke where timely intervention can mean the difference between recovery and lasting disability. At the heart of this challenge is Viz.ai’s innovative imaging architecture which directly impacts how neurologists respond to critical alerts. By providing real-time access to imaging, the platform ensures that clinicians have the information they need to make swift decisions. In a high-stakes environment where delays can lead to dire consequences for patient health, this capability is not just beneficial; it is essential.Understanding Viz.ai’s Approach: Fast, Predictable, SimpleViz.ai has crafted a solution that redefines efficiency in medical imaging. It begins with the ingestion of DICOM files, which contain the raw imaging data. Here, instead of simply storing images, Viz.ai adopts a proactive caching system designed to deliver image views quickly across various platforms—be it mobile, desktop, or web. This ensures that when clinicians access these crucial images, they can do so immediately, without a frustrating wait time that could compromise patient care.Cost Management in Data StorageOne of the standout features of this architecture is its approach to data storage. Initially reliant on Amazon S3, Viz.ai faced mounting storage costs as data scales grew uncontrollably. Realizing that over 90% of imaging studies were only accessed within the first 30 days, the company shifted its strategy to delete converted images after three months. This decision came with trade-offs; while it reduced storage costs, it also meant older images would have longer load times. However, the balance between cost and speed was essential in optimizing the service provided to healthcare professionals.Incremental Changes for Big ImpactThe transformative changes to Viz.ai's system were not executed as major overhauls but rather through careful, incremental modifications. As observed, the potential for service interruption necessitated a cautious approach. The system already enjoys heavy usage in real-world clinical environments, meaning that even small adjustments had to be meticulously planned and executed to avoid affecting user experience adversely. For instance, while the concept of trigger-based pre-generation of images seemed appealing, it was identified as inefficient due to unnecessary data duplication. This iterative approach highlights the importance of fine-tuning existing systems rather than implementing sweeping changes that could disrupt clinical workflows.The Bigger Picture: Future Trends in AI and ImagingAs we look to the future, innovations like those at Viz.ai highlight a significant trend in healthcare: the integration of AI to enhance operational efficiency. Machine learning and AI-driven processes are set to revolutionize how imaging and data are processed, ensuring healthcare providers have real-time access to critical patient information. The future landscape could see even smarter systems capable of predicting imaging needs, thus preemptively addressing clinician demands.Conclusion: The Importance of Effective Imaging in HealthcareViz.ai's advancements reflect not just a technical improvement but a fundamental shift in how emergency medicine can utilize technology to provide better patient care. As healthcare continues to evolve alongside technological innovations, understanding and implementing efficient imaging solutions will be paramount. The success seen at Viz.ai serves as a case study for other health systems aiming to streamline their workflows and improve patient outcomes in time-sensitive situations.

04.10.2026

AI Care Pathways: A Revolutionary Solution to U.S. Healthcare Variability

Update Understanding the Impact of AI Care Pathways on U.S. Healthcare In the evolving landscape of healthcare, a breakthrough is emerging that promises to tackle some of the most persistent issues plaguing the system: variability in care and inefficiencies in emergency response. At a recent session at the World Economic Forum in Davos, influential leaders from various sectors convened to discuss innovative solutions for putting patients first while minimizing waste and cost. The consensus? AI Care Pathways could be pivotal in addressing these challenges. Variability: The Hidden Enemy of Good Outcomes The discussion highlighted a crucial concept: variability in medical practices can severely hinder patient outcomes. When a patient arrives at a rural hospital exhibiting early symptoms of a stroke, every second counts; the guidelines indicate that two million neurons can perish each minute. Yet, due to variations in knowledge, workflows, and care coordination, vital time is often lost. Here, the need for a cohesive and reliable approach to care becomes evident. AI Care Pathways: The Game Changer Enter AI Care Pathways, a technological innovative solution designed to mitigate inconsistencies in healthcare delivery. Leveraging real-time clinical data, electronic health records (EHR), and imaging data, AI systems can identify diseases swiftly, alert relevant medical personnel, and activate a predetermined sequence of evidence-based actions for maximum efficiency. This not only ensures that clinicians possess all pertinent information but also that patients receive timely interventions—particularly in emergencies such as stroke or heart attacks. Building Infrastructure for Consistent Patient Care Traditionally, consistent application of clinical guidelines was restricted to well-resourced academic medical centers. However, AI Care Pathways are changing the game, making these practices scalable across community and rural healthcare settings. The implementation of these pathways ensures that established clinical standards are seamlessly integrated into patient care processes, fostering a reliable framework that aligns with the Centers for Medicare and Medicaid Services (CMS) priorities. This is crucial for enhancing healthcare access while simultaneously not exacerbating issues such as workforce shortages. Economic Implications of AI in Healthcare With a significant portion of Medicare and Medicaid funding failing to translate into improved healthcare outcomes, the potential for AI Care Pathways to reduce excess spending is significant. Data shows that inefficiencies arise when medical practices diverge from established guidelines, leading to unnecessary admissions, transfers, and tests. This fragmentation not only inflates costs but also exposes patients to unnecessary complications. By embedding clinical standards directly into the flow of care, AI offers a real-time solution to improve patient outcomes as decisions are made. Exploring Real-Life Implementations and Success Stories A number of healthcare systems across the United States have initiated the deployment of AI technologies like Viz.ai, which analyzes patient EHR, imaging, and clinical data to manage serious health conditions proactively. These systems have reportedly improved decision-making speed and accuracy, leading to better patient prognoses and reduced costs. Future Predictions and Opportunities As technologies continue to evolve, the future of AI in healthcare looks promising. With the potential to streamline workflows and facilitate better care coordination, AI Care Pathways could predict and manage health conditions more effectively than ever before. Moreover, understanding how to fully integrate these systems within existing healthcare frameworks remains a crucial area of exploration. In conclusion, while the U.S. healthcare system faces numerous challenges, AI Care Pathways represent a forward-thinking solution that aligns with current needs and future opportunities. By embracing these technologies, healthcare providers may not only reduce costs and improve patient outcomes but also foster a more responsive healthcare environment.

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Close","city":"London","state":"Brent","zip":"NW100DF","email":"lorenas@getmilerismarketing.com","tos":"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","privacy":"PHA+PHN0cm9uZz5QUklWQUNZPC9zdHJvbmc+PC9wPgoKPHA+PHN0cm9uZz5UaGUgaW5mb3JtYXRpb24gcHJvdmlkZWQgZHVyaW5nIHRoaXMgcmVnaXN0cmF0aW9uIGlzIGtlcHQgcHJpdmF0ZSBhbmQgY29uZmlkZW50aWFsLCBhbmQgd2lsbCBuZXZlciBiZSBkaXN0cmlidXRlZCwgY29waWVkLCBzb2xkLCB0cmFkZWQgb3IgcG9zdGVkIGluIGFueSB3YXksIHNoYXBlIG9yIGZvcm0uIFRoaXMgaXMgb3VyIGd1YXJhbnRlZS48L3N0cm9uZz48L3A+Cgo8cD48c3Ryb25nPklOREVNTklUWTwvc3Ryb25nPjwvcD4KCjxwPjxlbT5Zb3UgYWdyZWUgdG8gaW5kZW1uaWZ5IGFuZCBob2xkIHVzLCBhbmQgaXRzIHN1YnNpZGlhcmllcywgYWZmaWxpYXRlcywgb2ZmaWNlcnMsIGFnZW50cywgY28tYnJhbmRlcnMgb3Igb3RoZXIgcGFydG5lcnMsIGFuZCBlbXBsb3llZXMsIGhhcm1sZXNzIGZyb20gYW55IGNsYWltIG9yIGRlbWFuZCwgaW5jbHVkaW5nIHJlYXNvbmFibGUgYXR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