4 ways AI can transform long-term care staffing
It’s no secret that staffing challenges the long-term care industry is facing are more demanding than ever. In a recent study, researchers found the average turnover rate to be 128%. There’s also close to a 50/50 chance of individual clinicians moving on within the first year. This speaks to a deeply rooted problem that is leaving the industry short-staffed. The fallout? Facilities are grappling with high workloads, disconnected working relationships, and exhausted clinicians.
To compensate for vacancies on clinical teams due to the shortage of staff, remaining clinicians are putting in extra time and face potential burnout, which can affect not only the care residents receive but also the organization’s overall health. Without effective reporting tools, there’s no clear insight into how staff spend their time, making it difficult to distribute work appropriately; this creates inconsistent workloads and inefficiencies. There is an urgent need to rethink strategies, leverage new technologies, and create a supportive environment that not only addresses these issues but fosters growth and well-being for both staff and residents.
4 ways AI can shape the future of staffing in long-term care
What if there’s a way to develop strategic staffing solutions through the power of AI technology? AI is a groundbreaking tool poised to revolutionize the long-term care industry by leveraging intelligent technology for comprehensive staff support. More than automation, it can transform how innovative software, specifically EHRs, is used to create a better care environment. Let’s dive into four key AI benefits and uncover how they can reshape the approach to staffing in long-term care:
1. Identify challenges and risk of burnout
EHRs share more than a digital record of a resident’s care journey—they’re also a powerful AI tool that offers valuable insights into staff performance and well-being. By analyzing patterns and trends in EHR data, staff who might be at risk of burnout or are becoming less engaged can be identified. This targeted analysis can help create a better, more efficient workflow and support those in need before issues escalate, leading to enhanced resident care coordination and improving staff efficiency helping to reduce staff burnout.
Optimizing information in EHRs goes beyond clinical care and extends to understanding and supporting the welfare of staff. By analyzing EHR data with the help of AI, insights into residents’ needs are translated into a better understanding of how clinicians might be feeling and the pressures they are under. This approach fosters an environment where they feel seen and supported, leading to a boost in staff satisfaction and better resident care.
With the support of AI-driven technology, EHRs don’t have to be a burden or a source of frustration. Through automation and intuitive navigation, staff can focus on caring for residents rather than struggling with software. They can be tailored to the needs of a facility and their team to significantly reduce the cognitive workload and improve efficiency by automating administrative tasks. The result? Enhanced quality of care and increased staff satisfaction.
4. Build working relationships
Cultivating strong working relationships within clinical teams is essential for quality resident care and staff well-being. EHRs play a pivotal role by offering real-time insights into residents’ needs, staff workload, and where extra support might be needed. This information fosters collaboration and helps staff better understand and support each other. By leveraging AI-driven EHR software, positive working relationships can be maintained to ensure clinicians remain engaged through teamwork and communication.
Ready to take the next step in using AI to better your team?
With the integration of AI technology, current staffing challenges can be addressed by providing insightful, tailored solutions for managing clinical teams more effectively. EHRs serve as a lifeline to understanding obstacles clinicians face and solutions to tackle them—identifying signs of disengagement, optimizing data for a more supportive environment, simplifying EHR use for efficiency, and fostering collaboration through real-time insights.
MatrixCare’s innovative EHR software is designed to do just that and more. Your staff can find what they need and complete their tasks in fewer clicks, so they don’t have to spend time memorizing how to use the software. Intelligent navigation within our EHR reduces the complexity and hard-to-use aspects of traditional EHR systems, limiting frustrations and increasing efficiency. Plus, we simplify workflows and tasks, so your staff can focus on what matters most—taking care of your residents.
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Daniel Zhu
Daniel Zhu comes from a diverse background of clinical experience and technology entrepreneurship. Having spent five years in clinical and clinical research roles with the Alberta health system and the University of Toronto health network, he has diverted his medical expertise to architecting and building technology solutions to optimize health care practice. At various organizations, he has lead engineering teams, product teams, and founded his own natural language processing start-up in the clinical research space. Stepping away from the start-up world, Daniel has spent time as a data consultant for large corporations such as Ford, Co-op, and RBI. Re-entering the health technology field, today Daniel has recently joined the ResMed and MatrixCare team to lead the productization of AI and machine learning capabilities.
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