3 Features of an Effective Healthcare Open Shift Management Platform
3 Features of an Effective Healthcare Open Shift Management Platform
- Predictive analytics can transform the inpatient nursing landscape by accurately forecasting staffing needs, streamlining open shift management, and reducing costs significantly.
- An automated healthcare open shift management platform offers flexibility to staff members, allowing them to self-schedule, and optimizing shift assignments based on individual preferences, availability patterns, and skill sets.
- The integration of enterprise scheduling systems with an open shift management platform not only automates shift posting and confirmation, but also frees up managers to focus on more critical tasks, fostering a positive work environment.
Shifts is reinventing the way healthcare professionals find work
In the world of inpatient nursing, there are moments when our dedicated core staff cannot fulfill all the demands that arise. During these times, we rely on contingency resources by posting open shifts to local agencies and gig workers. Unfortunately, this process has been plagued by a significant waste of both time and financial resources. The root cause lies in our reactive scheduling system, which fails to provide accurate volume projections and lacks the flexibility to design an automated program with intelligent business rules. However, we can transform this ineffective system and make filling open shifts a smoother and more efficient experience by harnessing the power of predictive analytics.
Advanced predictive analytics uses machine learning algorithms from thousands of data points to intelligently forecast patient demand and staffing needs more precisely. By leveraging predictive analytics to more precisely forecast staffing needs, we can revolutionize the way healthcare.
Empowering proactive self-scheduling through an open shift management platform
One of the most empowering aspects of an automated healthcare open shift program is the flexibility it offers to staff members. They can now pick up additional shifts that align with their lifestyle, giving them control over their own schedule. This freedom allows them to build a schedule that suits them best, at times, locations and units of their choosing.
Whether motivated for financial reasons or convenience, an effective healthcare open shift management platform caters to both. For those seeking higher income, committing to shifts early, working a flexible schedule and being open to working in multiple units can maximize their earnings. It’s a beneficial situation that caters to different preferences and needs.
Moreover, by incorporating advanced analytics and machine learning algorithms, we can further enhance the self-scheduling experience. The program can consider individual preferences, availability patterns and skill sets to optimize shift assignments. This personalized approach ensures that the right healthcare professionals are matched with the right shifts, promoting job satisfaction and efficiency.
Streamlining managerial efforts and saving time
Managing open shifts can be a significant burden on managers, consuming valuable time and resources. Integrating with enterprise scheduling systems alleviates the burden. Integration between scheduling and open shift management clinician app-based self-scheduling automates the process of posting open shifts and confirming open shifts. Managers are freed from the constant hassle of manually monitoring and managing the process.
Furthermore, the automation competency matching and configurable tiering rules related to open shift notifications ensures a smooth and efficient workflow. The program can handle factors such as staff qualifications, certifications, and regulatory requirements, reducing the risk of errors and ensuring compliance. With the administrative tasks taken care of, managers can redirect their time and energy towards more critical aspects of their role, such as patient care initiatives and staff development. This not only improves overall efficiency but also fosters a positive work environment.
Delivering a cost-efficient healthcare open shift management solution
An open shift management program enabled by predictive analytics, provides more precise scheduling to save healthcare systems millions. Advanced predictive analytics uses AI and machine learning to forecast patient volume more precisely to the hour. In an analysis of how AI surpasses human estimates on patient volume and staffing in a health system’s ER department, the AI-powered staffing model would have reduced FTE staff 23% for an annual savings of $3.4 million.
In conclusion, the application of predictive analytics brings about a transformative shift in inpatient nursing. By embracing an open shift management program driven by expertise and cutting-edge technology, we can revolutionize how we manage open shifts. This approach empowers staff, saves managers time and provides cost-efficient solutions. Let us embark on this journey together, embracing the future of healthcare scheduling and staffing. By doing so, we can create an environment where experience, expertise, authority and trustworthiness are at the core of our nursing practices, ultimately leading to improved patient outcomes and enhanced staff satisfaction.
Written by Jackie Larson
Jackie Larson is a healthcare industry veteran and recognized thought leader. With more than 20 years in the industry, she has provided guidance and support to hundreds of hospitals on a range of issues including workforce optimization, productivity, labor pool and incentives, system integration, resource management and business analytics.
Jackie is a sought-after writer and speaker on healthcare staffing and workforce optimization topics. She has been featured at national conferences and is a regular contributor to Becker’s Hospital Review and the Huffington Post, among other publications.