Revolutionizing Healthcare: The Impact of Viz.ai at Valley Health System

Table of Contents

1. Introduction
2. Background on Viz AI
3. Dr. alchel's Experience with Viz AI
4. Challenges Faced in Implementing Viz AI
5. Workflow Improvements with Viz AI
6. Impact on Patient Outcomes
7. Customization and User Groups
8. Turnaround Time for CTP
9. Reporting and Analytics in Viz AI
10. Integration with Telemedicine in Primary Stroke Centers
11. Comparison with Other AI Platforms
12. Case Studies
13. Conclusion

Introduction

In this article, we will explore the implementation and impact of Viz AI in the healthcare system. Viz AI is a leading AI-powered disease detection and care coordination platform used in hospitals across the United States and EMEA. We will Delve into the experience of Dr. alchel, the director of neurointerventional neurosurgery at Valley Health System, and how adopting Viz AI has improved care coordination for stroke patients and their healthcare teams. We will discuss the challenges faced in implementing Viz AI, the workflow improvements achieved, the impact on patient outcomes, and the customization options available with this platform. Furthermore, we will explore the integration of Viz AI with telemedicine in primary stroke centers and provide case studies to illustrate the real-world application of Viz AI. Let's dive in!

Background on Viz AI

Viz AI is an innovative platform that goes beyond traditional imaging platforms. It functions as a system of action, rather than just a system of Record-keeping, by analyzing imaging data in the cloud and predicting time-sensitive diseases. Viz AI provides alerts for suspected large vessel occlusions (LVO) and intracranial hemorrhages (ICH) with a high sensitivity and specificity, leading to faster and more accurate diagnoses. Additionally, it offers an advanced mobile imaging viewing system that allows healthcare providers to access and review images on their phone within seconds. The platform also features a secure communication platform with a group chat function, enabling healthcare teams to securely share pictures and videos for efficient collaboration.

Dr. alchel's Experience with Viz AI

Dr. alchel, the director of neurointerventional neurosurgery at Valley Health System, shared her experience with implementing Viz AI in their non-profit hospital serving a population of approximately 440,000 people in Bergen County, close to New York State. Valley Health System is a comprehensive stroke center, and their Journey with Viz AI began with the goal of improving workflow and care coordination for stroke patients. Dr. alchel highlighted the challenges they faced as a non-teaching hospital, including limited resources and difficulties in allocating stroke team members. However, with the adoption of Viz AI, they were able to bring all stroke team members together, improve their process and alignment, and work towards becoming a comprehensive stroke center. Dr. alchel emphasized the importance of running CTA and CTP on every stroke patient to provide the right care at the right time, even if they may not meet traditional criteria. Viz AI played a significant role in streamlining their workflow, reducing door-to-puncture times, and improving patient outcomes.

Challenges Faced in Implementing Viz AI

Every hospital system faces unique challenges when adopting new technologies like Viz AI. Dr. alchel discussed some of the challenges they encountered, including concerns from neuro-radiology regarding increased workload and safety concerns related to IV dye. They also had to address the concerns of their neuro-interventional services, who were not available 24/7 and needed to be informed about cases. Additionally, the hospital had to work with the primary neurology group and explore ways to integrate telestroke providers into the Viz AI process. The hospital's non-teaching status and limited resources added further complexities. However, by understanding and addressing these challenges, Valley Health System was able to successfully implement Viz AI and improve their stroke care workflow.

Workflow Improvements with Viz AI

With the implementation of Viz AI, Valley Health System experienced significant improvements in their stroke care workflow. They shifted from a sequential workflow to a more Parallel process, enabling concurrent CT head and CTA evaluations. The introduction of Viz AI alerts for suspected LVO allowed the neuro-interventional team to assess the images and activate the stroke team quickly. This parallel processing and early activation resulted in reduced door-to-activation and door-to-groin puncture times, ultimately leading to faster and more efficient stroke care. By streamlining the workflow, Valley Health System achieved time savings across various aspects of Hyper-acute stroke treatment, including door-to-puncture times for large vessel occlusions. These improvements resulted in better patient outcomes, as reflected in improved 5-day NIH Stroke Scale and reduced length of stay metrics.

Impact on Patient Outcomes

Valley Health System closely monitored the impact of Viz AI on patient outcomes. They observed improvements in discharge Modified Ranking Scale and 90-day Modified Ranking Scale. Furthermore, there was a reduction in ICU length of stay, indicating faster recovery and improved access to care. The implementation of Viz AI allowed for rapid imaging completion, with CTA readings taking just 26 minutes on average. This speed and efficiency in imaging facilitated prompt decision-making and treatment initiation. Overall, Viz AI contributed to enhanced patient outcomes by expediting stroke care and ensuring that patients received the appropriate level of treatment without delays.

Customization and User Groups

Viz AI offers customization options to cater to the unique needs of different healthcare systems. Valley Health System customized their workflow to ensure that every stroke patient received a CT head and CTA upfront, irrespective of traditional criteria or stroke severity. This empowered the healthcare team to have a comprehensive understanding of each patient's condition, facilitating prompt decision-making. The platform also allowed for the inclusion of additional user groups, such as the neuro-interventional tech and nurse team. This integration ensured prompt notification and coordination of stroke cases, leading to improved workflow efficiency. Viz AI's user-friendly interface and compatibility with existing communication apps facilitated seamless integration into the healthcare system.

Turnaround Time for CTP

Valley Health System experienced a turnaround time of approximately five minutes for CTP using Viz AI. This quick processing and analysis of CTP images allowed the healthcare team to promptly assess perfusion and make time-sensitive decisions. The speed and efficiency of the platform significantly contributed to reducing delays in stroke diagnosis and treatment. Viz AI's rapid turnaround time for CTP played a crucial role in streamlining the workflow and expediting patient care.

Reporting and Analytics in Viz AI

Viz AI provides comprehensive reporting and analytics features that enable healthcare systems to assess workflow metrics and track performance. Valley Health System leveraged these features to monitor door-to-activation and door-to-groin puncture times, as well as other Relevant metrics. The stroke coordinator and data analyst reviewed the log within Viz AI to generate reports and gain valuable insights. These reports were disseminated to relevant stakeholders, including physicians, nurses, and EMS providers, to provide feedback and facilitate improvements in the stroke care process. Viz AI's reporting capabilities allowed Valley Health System to monitor progress, identify areas for optimization, and ensure the delivery of high-quality stroke care.

Integration with Telemedicine in Primary Stroke Centers

Viz AI seamlessly integrates with telemedicine platforms, making it suitable for primary stroke centers with telemedicine coverage. By using Viz AI in conjunction with tele-neurology services, healthcare providers in primary stroke centers can enhance their stroke care capabilities. The platform's ability to communicate alerts and share images expedites remote consultations and facilitates rapid decision-making. Viz AI's integration with telemedicine helps bridge the gap between primary stroke centers and comprehensive centers, ensuring that patients receive Timely and appropriate care. Valley Health System has begun exploring this integration to further optimize stroke care delivery.

Comparison with Other AI Platforms

Dr. alchel discussed their experience transitioning from other AI platforms, such as Rapid and AI Doc, to Viz AI. Both transitions were met with some initial resistance, but ultimately Valley Health System found that Viz AI offered superior workflow efficiency and user satisfaction. The customization options, parallel processing capabilities, and seamless communication enabled by Viz AI were instrumental in achieving their goals. Today, the entire healthcare team, including neuro-interventionalists, neuroradiologists, neurologists, nurses, and techs, is highly satisfied with Viz AI and appreciates its impact on stroke care.

Case Studies

Dr. alchel presented several case studies to illustrate the real-world application and impact of Viz AI in stroke care. These cases highlighted the speed and efficiency of the workflow after implementing Viz AI, resulting in prompt diagnoses and treatment initiation. The cases demonstrated reduced door-to-groin puncture times and successful recanalization in a timely manner, leading to favorable patient outcomes. Through these case studies, Valley Health System showcased the tangible benefits and improved stroke care achieved with Viz AI.

Conclusion

The implementation of Viz AI in Valley Health System has revolutionized stroke care coordination and improved patient outcomes. By streamlining the stroke care workflow, reducing turnaround times, and enhancing communication among healthcare team members, Viz AI has effectively transformed the delivery of stroke care. The customization options, rapid turnaround time for CTP, comprehensive reporting, and seamless integration with telemedicine make Viz AI a powerful tool for healthcare systems. Valley Health System's experience with Viz AI serves as a testament to the efficacy and benefits of this innovative platform. With its user-friendly interface, intelligent alerts, and advanced analytics features, Viz AI has become an invaluable asset in the fight against stroke.