target audience

1. Hospital Managers
2. Doctors

challenges

1. Bureaucracy with covering costs and confusion for the patient, a common problem in the USA.
2. Our challenge was to develop a revolutionary workflow, that will connect doctors and patients for the better service.
3. Also, implementation of AI as a doctor's assistant, that is prioritizing patient examinations and cuts doctor's occupation.

result

User friendly SaaS platform with CRM of patients and AI that is helping to manage doctor's and nurse's workflow.

Main screen with analytics and patient's listAnalyses which jobs to be done, prioritized them and creates dashboard with easy-to-reach access to most important data.

Every session passes three phases: AI scanning, nurse examination and doctor's control with a decision at the end. As a result, we reached to minimize doctor's occupation, that saves time for more urgent cases.

Automatic evaluation templates

Doctors are creating a custom form of indicators to be answered by patients. Then AI analyses every indicator to examine the patient.

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Business and design solutions

Each template was designed according to usage frequency and accessible UI, which works well both for medical specialists and patients and cuts the time of processing.

1. treatment program;
2. survey that was included in the treatment program;
3. patient's answer assessment for doctors;
4. patient's answer assessment for AI;

We had two versions of the flow for the design.

Version 1

This version was made on the client's request. The process of template creation had only two steps and was less flexible.

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Version 2

For this version, we decided to split “choice template” into two parts: a list of answers option and a system for replies calculation. This calculation system could have been used later for the development of other 'choice templates', which was supposed to reduce time.​​​​​​​

For good of business

We decided to use the first version for a few reasons.

The client already had the backend from the previous version that was solving the task, which was used so rarely that the price of usability did not cover the costs for making new code.