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Case Study

Macro-Eyes Health

Bringing AI/Machine Learning to Appointment Booking

As mobile applications continue to increase in complexity, effective testing has become even more important & harder to find. Gone are the days that a mobile application is as simple as clicking through a number of buttons. Work with a team that brings a complex web application mind-set to the new era of mobile testing.

"Being in Healthcare, it is critical our system perform. We needed a team that understood the importance of HIPAA compliance, while also able to test a complex AI/Machine learning based application. With Loop, we were able to put systems in place that allowed us to develop faster & with significantly more confidence. We'd highly recommend them in the Healthcare & Machine Learning space."

-Johannes

Johannes Kitschke

Macro-Eyes

Senior Engineer

Mitigating Load Limitation During Beta & Accelerating Dev Cycle

Overview

Macro-Eyes Health develops industry leading, Sibyl, a new intelligent scheduling technology that increases access to care by predicting the future and then improving it. Leveraging Machine Learning/AI uses that knowledge to build a schedule, appointment by appointment, that fills gaps before they happen. Sibyl makes the day more predictable. 

Macro-Eyes Health currently serves Healthcare systems across the United States & is expanding quickly. This expansion has put new stresses on the internal development team, tasked with keeping up with feature development. Loop Software & Testing was brought in to both help create & execute a formalized Test Plan, but also to work hand-in-hand to formalize dev ops processes & systems.

Business Challenges

  • Immature development systems

  • Highly complex logic to application

  • System must meet HIPAA compliance

  • Diverse set of integrations for individual clients

  • Quality assurance handled primarily by the engineering lead

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Loop Software & Testing Solution

The testing unit lead assigned to the project first reviewed the existing demo enviroment & state of the development system. After a series of exploratory tests & a session to review the results, the Macro-Eyes engineering team & Loop Unit-Lead discussed a plan of action for developing a formalized test structure & plan. Over the next 2 weeks, Loop built & execution a first pass of a regression suite. During this time, the Macro-Eyes team started to put together User Stories for upcoming development features. 

The resulting plan centered around a 2 week agile sprint. Loop would execute User Acceptance testing upon delivery of features into a staging enviroment. After, Loop would run a full regression suite - giving a green light for release. After deployment, Loop would run Smoke & Sanity tests, which eventually will be individually tailored to clients.

Results

  • Loop developed a comprehensive Test Plan with 99% product coverage

  • Identified key load limitations related to appointments

  • Accelerated development timeline

  • Saw more systematic version control implemented

  • More..  

"La series of exploratory tests & a session to review the results, the Macro-Eyes engineering team & Loop Unit-Lead discussed a plan of action for deve"

-Johannes Kitschke

Loop Software & Testing Services

Service Overview

Macro-Eyes Health develops industry leading, Sibyl, a new intelligent scheduling technology that increases access to care by predicting the future and then improving it. Leveraging Machine Learning/AI uses that knowledge to build a schedule, appointment by appointment, that fills gaps before they happen. Sibyl makes the day more predictable. 

Macro-Eyes Health currently serves Healthcare systems across the United States & is expanding quickly. This expansion has put new stresses on the internal development team, tasked with keeping up with feature development. Loop Software & Testing was brought in to both help create & execute a formalized Test Plan, but also to work hand-in-hand to formalize dev ops processes & systems.

Business Guarantees

  • Immature development systems

  • Highly complex logic to application

  • System must meet HIPAA compliance

  • Diverse set of integrations for individual clients

  • Quality assurance handled primarily by the engineering lead

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