Abbreviations
A data set that determines baseline and outcomes of patient care in Home Health agencies.
OASIS
Who benefits from consistent assessment and monitoring?
Patients
A complex medication regimen may drive a plan for visit frequency in this way.
Increased visits early in the episode.
Front loaded
Whose need drives frequency of visits?
The Patient
This common healthcare task is important to consider when planning visit frequencies.
At SOC or ROC adding this could improve the skill match for the patient needs.
An additional discipline.
Tracking this type of visit contributes to improved utilization.
Missed visits
A change to Medicare payment (per visit amount rather than the full case mix amount)
LUPA (Low Utilization Payment Adjustment)
A patient with changing needs or progress is a good candidate for this strategy.
A change in intensity of patient care needs should result in.
Reassessment of visit frequency
Two patient factors that contribute to avoidable LUPAs.
Hospitalization and refused visits
A way of grouping Home Health patients by diagnosis for payment
PDGM
Reducing avoidable LUPAs improves this Home Health agency function
Operational performance
This common activity at start and during care sets goals and interventions in alignment with patient abilities.
Care planning
This interdepartmental activity is a best practice to optimize visit utilization.
Communication of changes
A billing code that identifies the patient's payment group and sounds like a common healthcare privacy act.
HIPPS (Health Insurance Prospective Payment System)
Improved visit frequency utilization can improve staffing due to.
More predictable workload management
Avoiding errors in estimation of patient needs relies on physician/clinician assessment and accuracy of this.
primary diagnosis
Scheduling gaps and delays in SOC