Healthcare Data Warehouse Development for Medical Institution

High Performance

While assessing the client requirements, the primary need was to develop a system assuring 24/7 uptime and efficient capabilities. As our client deals with a large number of patients daily, the user requests on the system would also be high.

In addition, our ally requested to create a consistent backup module responsible for backing up each bit of data as it gets stored in the primary memory unit.

All Department Connectivity

The Healthcare Data Warehouse architecture should connect all the departments and collect assimilated, semi and unstructured data from every department. Moreover, the system must connect with other ERP, Human resources, and Public Health organizations.

Our client also has a dedicated department for insurance claims that links with external insurance companies. Therefore, the requirement to connect Data Warehouse with insurance databases is one of the main objectives.

Patient Data Indexing

Our partner faces complexities in organizing the patient data according to different wards, departments, latest appointments, online consultations, and other criteria.

The business requirement is to set up an automated indexing and data organization module. It should evaluate the patient information and store it in the appropriate database. In addition, access to every detail should be provided according to roles and responsibilities.

Resource Scalability

Our client is consistently upgrading their services with evolving patient and market needs. As a result, they have seen a rapid rise in their medical service demand.

To ensure all their stakeholders an active system and seamless services, the client required a system that can automatically visualize the demand and scale resources up and down.

ML Capabilities

Machine Learning algorithms are doing wonders in the medical industry. Our partner required a custom ML module to assess the clinical data with information available in public health databases. And the final result must provide a diagnostic model to the doctors.

In addition, the ML components must process medical documents and genetic details and focus on identifying and predicting the symptoms and appropriate diagnosis.

Align to all Significant Medical Standards

Our partner needs to align business standards and systems with all major medical regulations to prevent legal actions against it. Our business analysts precisely understand this requirement and searched about all the standards to which the data warehouse system must comply.

Data Security

The top-most priority of this project is to secure the medical and personal records of all the patients along with the organization’s confidential data. Besides this, our client wants to isolate the backup server from the network and provides it access only to higher management.

Furthermore, all the users log into the online portal by filling in their username and password, and the system must store their credentials securely. And all the dataflow channels must be secured from malicious actors.

Extensive Data Storage

Healthcare Data Warehouse processes large data chunks in high amounts, including metadata, raw data, historical, real-time, and summarized data. Our team identified the requisite to build robust and flexible storage, enabling it to store different files with and without compressing them.