Location-Based Workflows
HyperTrack delivers over 95% fill rate with real-time matching of the workers with shifts
Lisa, a travel nurse, got into a fender bender on her way to a patient visit.
She had to tap "Emergency Unavailable" in her app.
Nia, another qualified nurse just finishing her shift nearby, received a ping: "Urgent visit at 2 PM".
With one tap, Nia accepted and was on her way.
30 minutes later:
Lisa could focus on her incident, no stress.
The patient got cared on time.
Nia earned bonus pay for the extra shift.
No panic. No delay. No missed care.
Lisa, a travel nurse, got into a fender bender on her way to a patient visit.
She had to tap "Emergency Unavailable" in her app.
Nia, another qualified nurse just finishing her shift nearby, received a ping: "Urgent visit at 2 PM".
With one tap, Nia accepted and was on her way.
30 minutes later:
Lisa could focus on her incident, no stress.
The patient got cared on time.
Nia earned bonus pay for the extra shift.
No panic. No delay. No missed care.
What HyperTrack did the background:
• Flagged the last-minute cancellation
• Performed a nearby search, and found another nurse—nearby, available, and with the same skillset.
• Re-assign the visit to the available nurse
Late cancellations reduce fill rate and revenue
Erode customer trust, cause churn
Overstaffing adds cost
Find workers closest to order destinations, sorted by distance or live traffic based ETA
Filter searches based on worker profile to find workers best suited for specific order requirements
Include workers on routes to dynamically find the best worker for an order to optimize your KPIs
Ram Kakkad
VP of Product, HyperTrack
Saurabh Das
VP of Engineering, HyperTrack
Aashish Subramanian
Director of Engineering, HyperTrack
"Tech such as Geo-location capabilities transformed the consumer experience and they are improving the experience of healthcare staffing. We are working with the HyperTrack team to add it to our experience."
Ben Chapman
Product Leader, Nursa
