Home health clinicians and managers have access to more valuable data than ever before, but this fragmented information is often difficult to access and process. Pulse puts the data to work, bringing the information to the forefront so decision making is faster and more informed. The result: resources are accurately deployed in every step of the patient journey.
Ongoing risk stratification on your patient from a population view
Patient-specific clinical snapshot view fed by visit-by-visit insight throughout an episode of care
Benefit from predictive analytics that inform proactive care to prevent hospitalization
Prevent non-clinical LUPAs with enhanced care coordination
Benefit from risk-based recertification and discharge decision guidance
Track individual patient progress toward HHVBP measures
Pulse uses data science to predict the likelihood a hospitalization will occur within 14 days using:
This data is culminated to present visit-by-visit risk scores.
A revolutionary home health visit-by-visit resource management solution that uses machine learning to inform the right care at the right time.
Effective Care Coordination is essential for patient safety and experience. It can also be challenging due to the remote nature of home health work, lean staffing, and difficulty accessing information in the medical record.
Pulse uses data science to objectively deliver a patient’s dynamic, intra-episode risk level or significant change in condition, in an effort to avoid diminished outcomes and hospitalization.
Unplanned LUPAs present a threat to your agency yet management and prevention can be a primary challenge.
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