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Healthcare Data Management: Cut 40% of everyday tasks in 4 months

Healthcare data management software

Healthcare Data Management: Cut 40% of everyday tasks in 4 months

We’ve developed a healthcare data management software that makes it a breeze to gather and manage patient data.

#Healthcare

#DataManagement

#BusinessIntelligence

Client*

A European company, supplying healthcare data management software with operations in multiple centers throughout the EU.

*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

Project in numbers

duration

4 months

team

17 specialists

Team involved in the project

industry

Healthcare

solution

Healthcare Data Management Software

technologies

Python, Typescript, Kubernetes, AWS, Power BI, Redis, MongoDB, PostgreSQL

1 x Team Lead

1 x Project Manager

1 x Business Analyst

3 x Backend Developers

2 x Frontend Developers

3 x Data Engineers

2 x ML Engineers

2 x BI Developers

1 x QA Engineer

1 x AQA Engineer

HIRE THE TEAM

Challenge

The client sought to enhance healthcare provider data management processes, demanding seamless integration, easy patient record access, and strict data protection compliance.

Related objectives

Evaluate the current data flow design

Overhaul the data flow completely

Automate routine tasks

Design a secure, high-functionality solution

Solution & functionality

We crafted an architecture and data flow for the healthcare provider data management, empowering the client’s staff to gather, analyze, and use patient data for tasks like assessing treatment outcomes and sharing essential information with insurance companies.

AWS

Our healthcare data management software relies on Amazon Web Services as it’s secure, flexible, scalable, and cost-effective.

Client staff input patient data in various formats, like images, videos, and text, which are sent to AWS and stored in a data lake. This data encompasses medical test results, appointment timestamps, and multimedia files from MRIs, CT scans, ultrasounds, and more.

Extract, transform, load (ETL) pipelines

We’ve devised and enacted ETL pipelines to automatically consolidate data fragments from client employees into cloud storage.

Data warehouse & data lake

All data gathered through ETL pipelines is funneled via Apache Airflow into the data lake for refinement. After refinement, it’s forwarded to the data warehouse, serving various functions, including patient treatment consultation, efficacy evaluation, in-depth data analysis, and furnishing necessary information to insurance institutions.

Access control

The healthcare data management software safeguards sensitive data with a smart access control system. This system checks employee statuses from the client’s database, granting access to patient data solely to the specialists working with the patient. Exceptions are made for substitutes during healthcare worker absences.

When data sharing is necessary, like for medical consultations or insurance requests, employees can request permission, and the healthcare data management software automatically facilitates secure data sharing, preventing accidental or intentional inclusion of extra information.

Results and business value

We’ve built a healthcare data management software that empowers workers to efficiently collect, store, and manage patient data, ensuring robust security measures to prevent leaks. Our software engineers have automated mundane processes and optimized healthcare provider data management for maximum efficiency.

MVP launched in 4 months

This application keeps over 1.5M active and 8M passive users secure on a daily basis.

40% of dull tasks automated

The client highly praised our development team of Android, iOS, and QA engineers for their technical expertise and communication.

The healthcare data management software allows workers to concentrate on essential tasks instead of dealing with error-prone data flow management. Healthcare provider data management is aligned with government regulations and designed with the latest business intelligence expertise.

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    Migrating a non-scalable corporate system to a cloud-based solution

    Cloud migration service

    Migrating a Non-Scalable Corporate System to a Cloud-Based Solution

    Our team launched a cloud migration solution that enabled the company to streamline data analytics and automation within its corporate platform.

    #Cloud

    #DataManagement

    #DevOps

    Client*

    Large e-commerce platform specializing in clothing, equipment, and accessories. 

    *We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.

    Project in numbers

    duration

    7 months

    team

    14 specialists

    Team involved in the project

    industry

    E-Commerce

    product

    Cloud migration platform

    technologies

    Azure Data Factory, SSAS, Azure DevOps, Power BI, Salesforce Cloud, Python, Scala, SQL

    1 x Team Lead

    1 x Solution Architect

    6 x Data Engineers

    4 x Business Intelligence Developers

    1 x Business Analyst

    1 x Project Manager

    HIRE THE TEAM

    Challenge

    The major objective for the team was to migrate the customer’s corporate system to a cloud-based Power BI solution, and thus enhance its scalability and automation.

    Related objectives

    Reliable data storage

    Enhanced functionality for analytics

    Streamlined business procedures

    Solution & functionality

    The team moved the on-site platform to the cloud, constructed data repositories and refined analytics dashboards.

    Curated databases

    The initial challenge was the substantial amount of scattered data to migrate, some of which came with numerous discrepancies and some as part of unclean datasets. However, the team managed to make the transfer process as smooth as possible.

    To address the problem, our tech specialists created data marts (data storage systems specific to the organization’s business units): Operative, Employee Management, Financial, Supply Chain, and E-commerce. Data can be transferred here from various origins such as internal APIs, Salesforce, and Google Analytics, then converted and stored in the ultimate data storage.

    Full-cycle automation

    The team has successfully organized all data from various sources to be accessible within the Power BI platform, Despite challenges like data inconsistency and peculiarities in data representation. We implemented end-to-end workflow automation integrating all processes with data, such as extraction, mapping, filtering, as well as the creation of data marts and dashboards.

    Enhanced analytics dashboards

    With the existing cloud solution, the data is securely stored and automatically updated daily. Users can view all the selected data of internal processes, personnel administration, financial, supply chain operations, and marketing activities on customizable dashboards. Additionally, they can tailor how the data is displayed per their requirements. As a result, the end customer gains the basis for timely and data-driven decisions.

    Results and business value

    We have developed a reliable automated system with maximum code cleanliness and highly robust clusters for multiple data operations. The solution as a whole enables more resilience for the company and more effective data-driven decisions.

    Real-time data synchronization

    Information on products, their specifications and availability from the e-commerce platform and the internal system is being aligned and updated on a real-time basis.

    Visualization via dynamic dashboards

    The customer can analyze events inside the customer’s journey, from their initial website visit to the purchase (with data from Google Analytics and Salesforce), and prepare more customized campaigns based on their behavior.

    Improved delivery process

    The delivery process became more streamlined at all stages, on both the retailer’s and the customer’s sides.

    Benefits for client

    The team got positive feedback from both the customer and the end-user on the exceptional standard of development and efficiency of the app, as well as the effective communication throughout the project.

    Related cases

    see all case studies

    We appreciate your interest in Timspark

      Let’s build something great together

        Let’s build something great together

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