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LeanTaaS

  • Healthcare
  • 0 Case Studies
Transforming Healthcare Operations with Data Science and Machine Learning
About

LeanTaaS is a software company that uses lean principles, machine learning, and predictive analytics to digitally transform core operational processes in healthcare. This transformation increases patient access, decreases wait times, improves staff satisfaction, reduces healthcare delivery costs, and improves operational performance. LeanTaaS's cloud-based iQueue platform mathematically matches the demand for expensive, constrained healthcare resources – operating rooms, infusion chairs, imaging assets, inpatient beds, etc. – with supply. More than 50 providers across the nation – including the University of Texas MD Anderson Cancer Center, OhioHealth, Stanford Health Care, UCSF Health, UCHealth, Memorial Sloan Kettering Cancer Center, NewYork-Presbyterian and Wake Forest Baptist Health – rely on iQueue to transform operational performance.

The company currently has two products in market:
iQueue for Infusion Centers: iQueue for Infusion Centers is a lightweight, cloud-based SaaS solution that digitally transforms core operational processes in infusion centers. The solution helps flatten chair utilization throughout the day to increase patient access, decrease wait times, improve nurse satisfaction, and reduce infusion delivery costs.

iQueue for Operating Rooms: iQueue for Operating Rooms is a lightweight, cloud-based SaaS solution that digitally transforms core operational processes in ORs. The solution unlocks OR capacity so more cases can be performed in the same number of ORs without extending business hours.

Company Details
  • https://leantaas.com/
  • Headquarters 469 El Camino Real Suite 220, Santa Clara, California 95050, US
  • Year Founded 2010
  • Current Funding $53.7M
  • Company Size 51-200 employees
  • Specialties Healthcare, Software, Information technology, Hospital & health care

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