Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

FrontDesk AI operates as a virtual receptionist that facilitates patient appointment scheduling through phone and text, allowing patients to see wait times for smarter booking decisions. It's akin to providing patients with a "Disney Fastpass" for their doctor visits. Last year alone, Americans wasted over 2.1 billion minutes waiting on the phone to make medical appointments. By leveraging intelligent insights regarding different appointment types, patient profiles, and their appointment histories, FrontDesk AI empowers staff to effectively manage check-ins and adapt schedules as needed. Patients enjoy an experience similar to a Disney FastPass, complete with real-time updates on doctor availability and wait times, granting them greater control both ahead of their appointments and during their visits. This innovative approach not only enhances patient satisfaction but also streamlines the overall appointment process in medical practices.

Description

Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Flux
Python

Integrations

Flux
Python

Pricing Details

$125/month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

FrontDesk AI

Founded

2025

Country

United States

Website

www.frontdesk.doctor

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/waiting/

Product Features

Product Features

Alternatives

Alternatives