High employee turnover in healthcare facilities poses significant challenges to the daily life of not only the employers and other employees, but the patients too. High turnover rates can lead to decreased quality of patient care, increased costs for recruitment and training, and low morale among remaining staff members. Addressing the root causes of turnover, such as burnout, lack of career development opportunities, and inadequate work-life balance, is crucial for healthcare facilities to maintain a stable and dedicated workforce.
Using AI, some healthcare groups have begun implementing strategies to improve employee satisfaction and support their well-being. Read below to learn more about these efforts and the benefits of recreating them in your own workplace.
The Role of AI in Healthcare
AI is making significant strides in the healthcare industry, particularly in predictive analytics. By harnessing the power of AI, healthcare providers can analyze vast amounts of data to predict patient outcomes and tailor treatment plans accordingly. While not perfect, this system of pattern recognition can assist medical professionals by quickly reading through multiple datasets until they find ones that match and suggesting those are starting points when making diagnoses and treatment plans.
In very recent years, it has also been used to better monitor patients and improve the quality and abilities of telemedicine and remote patient care. It has made more services accessible to those living in rural or underserved areas by bringing healthcare to them on their own time, reducing the need to go to physical appointments when it is unnecessary.
Now we look to how AI is being utilized in employee services. Commonly, AI is used to monitor clock-in and clock-out times and can serve as a way for team members to update each other on progress quickly. While this is a perfectly valid use of AI, some healthcare groups have taken it a step further to reduce turnover rates.
How AI Helps Enhance Employee Satisfaction and Engagement
By identifying patterns and trends within an organization, AI can help employers proactively address issues. Right now, it is common to use AI as a way to monitor the progress of staff, but that is not all it is capable of. AI programs such as Laudio serve to fulfil their basic role as described while also highlighting issues that may lead to employee dissatisfaction, ultimately improving retention rates.
AI such as this uses the same pattern recognition skills that help identify what patient are struggling with to identify what staff might be struggling with before it even hits. Instead of simply monitoring timestamps for pay cards, it actively watches and alerts management when a schedule layout of shift swap might prove difficult for the employee. This allows management to change around shifts or discuss the possibility with the staff member, both of which can show the staff that their management cares and reduce the chance of burnout.
It also actively tracks the projects and progress of staff in real time. From patient care to research progress, it allows management to keep an eye on the work of their team as it happens, meaning that they can recognize and reward those working hard in ways that might have been previously missed. It can also identify areas where staff may be lacking. This gives an opportunity for focused training, which can help to improve skills that truly need it as opposed to general training, which focuses on many things and may not provide the time or information needed to fix the core issue.
Simple in concept, these complex AI can be a major benefits to healthcare facilities looking to reduce their turnover rates and increase their employee satisfaction. If you are an employer looking to bring in talented staff, then connect with a recruiter by clicking here. If you are a healthcare professional looking for a place that shows this level of investment and care in you, then click here to check out our open jobs or click here to sign up for our weekly newsletter to hear about new roles as they come out.
