Sep 2025 - Current
Apr 2022 - Sep 2025
Nov 2020 - Apr 2022
- Nov 2021
Mar 2020 - Apr 2020
Jan 2020 - Mar 2020
Jan 2017 - Mar 2020
May 2018 - Aug 2018
Jan 2018 - Jan 2018
May 2017 - Aug 2017
Bachelor's degree at University of North Carolina at Chapel Hill
Name: LeanTaaS
Speciality: Lower wait times, Nurse & patient satisfaction, Predictive modeling, Data science, Patient access, OR block schedule optimization, Predictive analytics, Infusion scheduling, Capacity management, In-patient beds scheduling, Patient flow
Location: Santa Clara, California, United States
Employees: 200-500
Email: info@leantaas.com
Description: LeanTaaS is a software company whose offerings rely on advanced data science to significantly improve the operational performance of hospitals and clinics. Using the LeanTaaS iQueu...
What is Patrick Lydon's average duration of employment for different companies?
On average, Patrick Lydon works for one company for 1 year 1 monthWhat industries has Patrick Lydon worked in?
Patrick Lydon works in the Computer Software. Previously, Patrick Lydon worked in the Hospital & Health Care, and Higher Education, and Think Tanks, and , and Medical Devices.What positions has Patrick Lydon held before?
Previously, Patrick Lydon worked as a Product Implementation and Customer Success Manager, and Senior Product Specialist, and Student, and Associate Researcher, and Content Designer.How do I contact Patrick Lydon?
Patrick Lydon's email address is l***********k@leantaas.com, phone number is +1-***-***-1573. Sign up to get contact details.Who is the Founder & CEO of the LeanTaaS?
The Founder & CEO of the LeanTaaS is Mohan GiridharadasSignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.