Transforming End-of-Life Care With Analytics
Netsmart has partnered with VNS Health to revolutionize end-of-life care using predictive analytics and machine learning technology. This collaboration seeks to enhance the experience for patients and their families while significantly improving care quality. By prioritizing the scheduling of patient visits and focusing on hospice quality measures, this initiative aims to address the unique challenges faced by individuals in the last days of life.
The Importance of Predictive Analytics in Hospice Care
As a major player in home and community-based health care, VNS Health is devoted to providing compassionate care tailored to individuals facing serious illnesses. The partnership with Netsmart enables access to VNS Health’s predictive analytics, particularly focusing on Hospice Visits in the Last Days of Life (HVLDL). By integrating these analytics into the myUnity electronic health record (EHR) platform, healthcare providers receive critical insights to enhance care delivery.
Innovative Solutions for Improved Outcomes
VNS Health employs a proprietary HVLDL algorithm that analyzes patient histories to identify vital clinical indicators within a week-long timeframe. Developed from over 1.9 million health records across nearly 10,000 patients, this model is designed to enhance the precision of care recommendations, ensuring that hospice patients receive appropriate support during their final days. The results have shown a significant improvement in quality measures for HVLDL by an impressive 61%.
Elevating the Quality of Life Through Data
The collaboration between Netsmart and VNS Health is part of a broader trend toward utilizing augmented intelligence (AI) and machine learning within the healthcare system. The Netsmart CareFabric platform incorporates robust automation and AI technology to streamline healthcare delivery, enhancing clinical decision-making and operational efficiency. These advancements contribute to the overarching goal of delivering enriched and personalized care experiences.
Building Efficient Care Models
Mike Valentine, CEO of Netsmart, emphasizes the significance of AI and automation in addressing the current challenges faced by healthcare providers. The goal is to continue expanding predictive models to foster efficiency within hospice and palliative care environments. This strategic alignment highlights the commitment of both organizations to innovatively solve the challenges present in end-of-life care.
Future Commitments to Quality Care
Looking ahead, Netsmart and VNS Health are dedicated to improving end-of-life care by leveraging technology and data-driven insights. Their shared vision focuses on enhancing patient quality of life and ensuring family members are supported throughout the process. The partnership aims to establish new standards in healthcare by refining how end-of-life discussions and care are approached, creating a more compassionate environment for those involved.
About VNS Health
With over 130 years of healthcare experience, VNS Health is committed to innovation and compassion in care delivery. Providing a full range of health services, their approach simplifies the healthcare experience while addressing the diverse needs of those they serve. By utilizing unmatched data analytics, VNS Health continues to improve quality and access to care, enabling individuals to age comfortably in their homes.
About Netsmart
Netsmart stands as a leader in healthcare technology, equipping providers with comprehensive solutions to deliver value-based care. The Netsmart CareFabric platform facilitates a connected ecosystem for human services and healthcare organizations, allowing for the development and implementation of advanced technologies. This commitment to innovation impacts the lives of millions, ensuring that healthcare organizations can effectively meet the needs of the communities they serve.
Frequently Asked Questions
What is the partnership between Netsmart and VNS Health about?
The partnership focuses on enhancing end-of-life care through predictive analytics and machine learning to improve the quality of hospice services.
What is the HVLDL algorithm?
The HVLDL algorithm analyzes patient histories to identify key clinical indicators, enabling more effective care recommendations for hospice patients in their final days.
How has VNS Health improved quality measures?
Through the use of predictive analytics, VNS Health has enhanced HVLDL quality measures by 61%, demonstrating the efficacy of data-driven care solutions.
What technologies are used in the Netsmart CareFabric platform?
The platform incorporates AI, machine learning, and automation technologies aimed at improving clinical decision-making and operational efficiency.
What future plans do Netsmart and VNS Health have?
They plan to continue leveraging technology to enhance end-of-life care and improve the overall quality of life for patients and their families.
