Workforce Management
Clinical Extensions
Schedules support your
mission to deliver uncompromised care
Patient-to-staff assignment
See how these add-on modules provide enhanced clinical functionality that quantifies workload intensity, and enables the equitable and safe distribution of the workload through automated patient-to-staff assignment — increasing both patient and employee satisfaction.
UKG Clinical Scheduling Extensions, when combined with UKG Advanced Scheduler, can help you forecast volume and create and manage schedules that factor in employee skills, licensure, experience, and preferences as well as the workload of the patient.
Balance staffing needs
Assess and validate
workload and staffing levels so you can generate patient assignments that match
demand for care and clinical labor supply. This helps in providing the
visibility on staffing levels in the healthcare organization and more views on
the workload demand against workforce supply.
Targeted productivity reporting
Empower managers with
targeted intelligence and critical information that can guide staffing
decisions and help them maximize shift productivity. This can be performed on
the whole organization level, departmental level, unit level and individual
level in healthcare organizations.
Accurate forecasting
Get the information you
need to match nursing resources to actual patient flow to enhance your quality
of care and provide scheduling predictability for your staff. This forecasting
functionality can be performed on short term planning and long term planning,
which will help in accommodating any future concerns and needs.
Real-time metrics
Make in-the-moment
decisions supported by real-time data and analysis of staffing needs based on
current volume patient workload. In addition, you can develop your own KPIs and
metrics to be measured, tracked and proactively respond to any changes might come
across.
Support compliance
Meet staff-to-patient
ratios, legislative and disclosure requirements, and maintain auditable
records. As the compliance level is a concern in healthcare organizations, UKG
Clinical extensions come through to help ensuring the compliance by defining
and meeting the staff-to-patient ration in a fairness way according to the
actual workload.
Equitable patient assignments
Integrate with electronic health records (EHRs) to automate individual
patient-classification levels to provide current, reliable data for
workload quantification and assign patients based on the skills and
proficiencies of the nursing staff.
Acuity-based staffing is imperative to meeting our goals and making
sure we have the right staff and number of staff for the right types of
patients. And we’re able to give nurses a flexible schedule while making
sure we have what we need to meet our patient needs.
Key benefits - Forecast Manager
Increase employee satisfaction by reducing understaffing and overstaffing
Deliver quality patient care by better aligning staffing to demand
Minimize time spent managing staffing changes
Predict demand based on historical volume data from ADT or patient placement systems
Control labor costs by decreasing reliance on costly overtime and contingent labor
Key benefits - Workload Manager
Improve patient and staff satisfaction with automated and equitable workload distribution
Proactively improve patient level of care by managing staffing needs based on intensity, census, and churn rate
Consistently provide quality patient care by evaluating the oncoming shift to meet targets
Create balanced patient assignments that reflect staff workload, competencies and continuity of care
Support compliance with staffing ratio and disclosure requirements and maintain auditable records
Key benefits - Target Intelligence
Boost care delivery and patient satisfaction by ensuring compliance with safe staffing standards
Improve patient care quality with targeted real time staffing decisions
Anticipate variances on labor-hour data and actual workload metrics
Maximize shift-based productivity through real time reporting
Enhance visibility and simplify reporting