Clini-Que , an Artificial Intelligence powered self learning Queue Management System - capable of running on on-premise setups, as well as Public or Private Clouds.
Access to Right Tools and Right Information is key to efficacy and empowerment. People with accessibility to needed tools & needed information are proven to be much effective at work than the ones who are made to run looking for them.
Clini-Que is an Artificial Intelligence powered self learning Queue Management System which is capable of running on on-premise setups, as well as Public or Private Clouds. The AI Engine executes pre-installed Guided Analytics on historical and real-time data and does Patient-Workflow routing in a single / Multi Checkpoint scenario. The 100% Customizable Analytics Engine can regulate Business Rules in Queue Processing thereby controlling the Workflow of an incoming Patient within the assigned lab work navigations.
CLINI-QUE is a quick and easy to install, ticket-less queuing solution. Customers physically wait in a line, are served when it’s their turn, and when the counter is open. CLINI-QUE drastically improves linear and single line queuing experience, reduces waiting times & increases operational efficiency.Our single queue solution allows you to speed up check-out process in order to improve customer service and reduce patient waiting time.
Central Display Units provide information to customers/Patients at the head of the line, while multi-media presentations can be played to enhance the customers/Patients waiting experience.
CLINI-QUE is a quick and easy to install queuing solution. Customers physically wait in a line, are served when it’s their turn, and when the counter is open. CLINI-QUE drastically improves linear and single line queuing experience, reduces waiting times & increases operational efficiency.Our single queue solution allows you to speed up check-out process in order to improve customer service and reduce patient waiting time.
Central Display Units provide information to customers/Patients at the head of the line, while multi-media presentations can be played to enhance the customers/Patients waiting experience.
(By Unit,By Checkpoint
By Investigator)
(By Unit,By Checkpoint
By Investigator)
(By Unit,By Checkpoint
By Investigator)
(By Unit,By Checkpoint
By Investigator)
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On-premises cloud infrastructure is a term related to cloud computing, which seems to contradict a central principle of cloud services, namely, that cloud services are typically provided off-site as a fundamental part of cloud technology design. On-premises cloud infrastructure would be hardware that is related to cloud services or activities, that is nonetheless located on-site at the client’s physical business location.
Private cloud is a model of cloud computing where IT services are provisioned over private IT infrastructure for the dedicated use of a single organization. A private cloud is usually managed via internal resources.The terms private cloud and virtual private cloud (VPC) are often used interchangeably. Technically speaking, a VPC is a private cloud using a third-party cloud provider's infrastructure, while a private cloud is implemented over internal infrastructure.
Public cloud refers to a computing service model used for the provisioning of storage and computational services to the general public over the internet.Public cloud facilitates access to IT resources on a "pay as you go" billing model. A service provider manages a public cloud solution's core infrastructure, software and other back-end architecture in a multitenant environment in order to free up the customer from these responsibilities.
Host Model | Physical H/W Procurement Cost | H/W Setup Cost | S/W Setup Cost | Business Setup | Time to Launch | H/W Maintenance Cost | S/W Support Cost | Yearly Subscription Cost |
---|---|---|---|---|---|---|---|---|
On-Premise | Yes | Yes | Yes | Yes | 4-6 Weeks | Yes | Yes | Yes |
Private Cloud | No (Only Cloud) N | No | Yes | Yes | 1 Weeks | No | Yes | Yes |
Public Cloud | No | No | No | Yes | 2 Days | No | No | Yes |