Leverage the power of data-driven technology and machine learning to help efforts to prevent falls, monitor depression factors, and identify respiratory factors, ensuring residents receive the attention they need before an adverse event.
Provide better care for all residents by using the power of data-driven technologies to identify at-risk residents so you can prioritize work for your nursing staff.
Analyzing millions of data points in your MatrixCare EHR, Clinical Advanced Insights provides critical intelligence that can improve resident outcomes and help reduce rehospitalizations. Predict where resources are needed next, help nurses focus on preventive care, and save time while taking proactive control of costs and risks.
Clinical Advanced Insights’ user-friendly dashboards show the real-time status of each floor, wing, and resident. This means staff can closely monitor emergent conditions and examine aggregated acuity, fall risk, and depression and respiratory factors so your team can zero in on your most vulnerable residents.
Deliver proactive, compassionate care by allowing Clinical Advanced Insights to provide relief for your already overwhelmed team.
Utilize data-driven technology shown to impact fall rates at facilities to help anticipate and mitigate fall risk, enabling early intervention for optimal safety and well-being
Pinpoint contributors that could lead to depression in advance to facilitate timely support and achieve better mental health outcomes
Identify potential contributors to chronic and sleep-related respiratory conditions early to support improved resident outcomes
Predict where staff will be most effective
Help efforts to prevent falls, detect depression factors, and identify respiratory issues
Focus nurses’ time on preventive, not emergent care
Control risks and costs proactively
Learn how MatrixCare manages risks and costs by using data intelligence.
Take a comprehensive look at how AI is used to predict and meet resident needs, enhancing efficiency and improving overall care quality
In the latest episode of the Post-Acute POV podcast we have a conversation on the current applications of artificial intelligence in the world of home-based care and identify key challenges and opportunities associated with the adoption of these groundbreaking technologies.
In this episode of the Post-Acute POV podcast, we'll outline the different types of emerging at-home care models, explore evidence showing positive outcomes in at-home care programs, and discuss key challenges providers face while getting started with these models.
Explore the influence of technology on the evolution of value-based care in McKnight’s latest podcast episode. Take a look at the impact of innovative software solutions on senior care, the importance of adapting to changing needs, and how technology is playing a vital role in caregiving and value-based care.
Join Lois, Allison, and Daniel as they discuss what AI and machine learning are, the use of artificial intelligence (AI) in the long-term care industry, and its current applications in healthcare environments.
In our latest podcast episode, we’ll explore the role mental health plays for long-term care staff and how making it a priority can help reduce employee turnover and improve resident outcomes.
Learn how MatrixCare’s Clinical Advanced Insights can benefit your organization by scheduling a call or personalized demo today.
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