Healthcare data management platform: automating over 40% of manual tasks

Data lake and data warehouse

All the data collected through ETL pipelines is transferred by Apache Airflow to the data lake for the refinement process. After the data is refined, it is sent to the data warehouse and can be used for various purposes, such as

• consulting patients on treatment;
• estimating the current treatment model’s efficiency;
• performing an in-depth analysis of patient data;
• providing insurance establishments with the required information, etc.

Access management

The platform gives users access to sensitive data that must be protected from unauthorized use. For these purposes, Innowise’s software engineers have implemented an access distribution and management system.

This module drags information about the employees’ statuses from the client’s database and checks it with the data of a particular patient. Access to private data is granted only to those specialists that work with the patient. The only possible exclusion is the substitution in case the healthcare worker is on vacation or sick leave. In this case, the platform shares access to the patient’s data with the substitute employee and takes it away as soon as the substitution period ends.

When there’s a need for sharing patient data with colleagues or third parties (i.e. a consilium in case of a serious disease or a request from an insurance firm), the employee can request permission to do so. If permission is granted, the platform automatically fills in the form with the patient’s data and shares it with the employee so that no extra data could be included either accidentally or on purpose.