Enhancing Healthcare with 3D Medical Imaging Integration

3D MEDICAL IMAGING SOFTWARE

3D Medical Imaging Software Development

Our team built a 3D medical imaging software for reconstruction of bones, skin, and various organs from X-rays and CT scans implementing machine learning.

#Healthcare

#IoT

#ComputerVision

Client*

A healthcare technology firm producing advanced devices and software that support healthcare professionals in their everyday tasks.

*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

Ongoing project

team

12 specialists

Team involved in the project

industry

Healthcare

solution

Web

technologies

Python, FastAPI, PyQt, JavaScript, React, MS SQL Server, Weights and Biases, MLFlow, PyTorch, OpenCV, TensorFlow, Keras, ONNXRuntime, PyDICOM, Albumentations, AWS (S3, EC2, Lambda), AWS SageMaker (Studio, Model Monitoring, Inference endpoint), Qase, Postman, Swagger, TestFlight, Arduino, Thonny

Services

2 x Front-end developers

2 x Back-end developers

1 x Project manager

4 x ML engineers

2 x QA specialists

1 x UX/UI Designer

Challenge

Develop an ML-based tool that could do 3D medical imaging of bones, skin, and other body parts by converting flat scans into three-dimensional volumetric models from X-rays and CT scans.

Solution & functionality

We integrated medical imaging analysis into the customer’s system, ensuring compatibility with X-rays and CT scans from radiology, cardiology, and other labs. As a result, all the 3D medical images can be accessed across hospital workstations and personal laptops.

3D rendering for X-rays and CT scans

Conversion of black-and-white images into 3D medical models takes just a few clicks. Once the X-ray or CT scan is uploaded, clinicians can set threshold attenuation values to define 3D detail, and let the platform scan each piece and create voxels reconstructing denser body fragments. This results in volumetric 3D medical images.

After rendering, clinicians can use a toolbar to manage objects: zoom in/out, add/remove skin, tissue, muscles, bones, and cut away excess parts. The primary tool, a cube, allows the image rotation for a more accurate view of the pathology.

Compatibility and security for DICOM files

Initially, we made sure that the web platform effortlessly works with DICOM files, the standard format for medical imaging management. Next, we enhanced security to safeguard the confidential health information they carry.

Our developers built a secure space to store imported DICOM files, encompassing patient details, diagnoses, treatments, dates, and test results.

ROI manager for highlighting pathologies

Our team developed an advanced ROI manager for highlighting pathology. Doctors can easily identify and outline tumors in 3D reconstructions, and measure lesion sizes for informed surgical decisions.

For precise segmentation, our developers set thresholds, pixel values, and previews. This allows for detailed 3D customization in form of reports with anatomical annotations and organ distance measurements helping more accurate surgical planning. In addition, practitioners can export and share 3D images based on the user access.

Results and business value

The 3D rendering platform allows professionals to monitor organs, evaluate tissue composition, assess fractures and thus diagnose diseases accurately. The platform generates detailed 3D medical imaging models and reports with anatomical annotations, as well as measures tumors, pathologies, and distances between organs for precise and effective surgical planning.

3X

faster pre-operational preparation

30%

more accurate diagnoses

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    Odoo Implementation for ERP Processes with a 16% Surge in Online Sales

    Odoo ERP for eCommerce

    Odoo ERP Implementation with a 16% Surge in Online Sales

    Timspark offered Odoo ERP services to replace the client’s outdated, bespoke ERP system, execute CRM integration, and develop an AI chatbot to foster the company’s digital transformation.

    #eCommerce

    #Odoo

    #ERP

    Client*

    Our client is a US-based industrial equipment and components retailer with 50 employees. It is strategically positioning itself for business expansion within the fiercely competitive realm of e-commerce.

    *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

    13 specialists

    The team involved in the project

    industry

    E-commerce

    solution

    Odoo ERP for Ecommerce

    technologies

    Odoo, JavaScript, React, Python, Google Ads API, PostgreSQL

    3 x Business analysts

    1 x Project manager

    1 x Back-end developer

    1 x Front-end developer

    2 x Odoo developers

    2 x QA engineers

    Challenge

    Our team aimed to solve the client’s outdated ERP issues like reporting problems, slow performance, and data silos with highly flexible and customizable software.

    Objectives

    Improve retail pipeline management

    Build smarter analytics and reporting

    Ensure advanced integration capabilities

    Solution & functionality

    We chose Odoo implementation to replace the client’s outdated ERP, leveraging its standard functions to meet 99% of their needs and adding custom features as required.

    Enterprise Resource Planning

    Our team’s Odoo ERP implementation automated critical business processes like inventory management, order processing, and financial reporting. We configured default features and added auxiliary functionality for online sales and POS terminals. Additionally, we implemented flexible pricing and compliant tax management and financial reporting modules.

    AI-powered Chatbot

    Using our AI expertise, we created an intelligent chatbot with advanced algorithms to automate rule-based tasks, reduce staff workload, and free up resources. Seamlessly integrated with the client’s website, resource planning, and customer management systems, our chatbot employs advanced AI to read user intentions and add human touch to automated customer support.

    Customer Relationship Management

    After the Odoo ERP implementation, we customized the CRM to integrate seamlessly and expand ERP capabilities. This centralized hub manages customer data, leads, and sales activities, automating processes like order generation and inventory updates. The CRM also streamlines customer management by centralizing contact details, purchase history, and communication logs for easy access and updates by sales reps.

    On top of that, we automated the e-commerce pipeline from lead capture to delivery. Pre-sale activities involve lead assignment and tracking, with additional features: 

    • Lead scoring
    • Automated emails
    • Reminders for managing quotes and feedback.

    Using Odoo-based CRM, sales reps easily handle customer support inquiries, service requests, and follow-ups to enhance customer loyalty.

    Paid Search Advertising & Branding

    We offered expert guidance on optimizing digital sales through Google Ads to drive increased visibility and targeted traffic. Our specialists also led a brand transformation, which resulted in heightened brand awareness and an influx of new customers to the client’s website.

    QR Codes

    As a tech-driven ERP Odoo implementation partner, Timspark improved inventory management using QR codes and enabled sales reps to track and label items accurately and streamline point-of-sale transactions. The unique QR codes printed on customer items facilitate quick and accurate identification, checkout, and access to discounts and promotions.

    Results and business value

    Timspark’s Odoo implementation liberates the client from outdated systems and fosters business growth. Our solution strategically enhances operational efficiency and profitability across all marketing activities.

    Benefits for client

    Timspark has successfully implemented a comprehensive Odoo system that replaces outdated ERP and boosts growth by integrating a custom CRM, QR codes for inventory, an AI chatbot, and optimized Google Ads. 

    38%

    more website visitors

    16%

    increase in online sales

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      Clinical Trial Data Management Platform: Modernized System and Enhanced Performance

      Clinical Data Management

      Clinical Trial Data Management Platform: Modernized System and Enhanced Performance

      Timspark migrated a clinical data management system populated with health and research records from the cloud to a new code-based platform. We revamped the platform’s architecture and handled ongoing support for the solution.

      #Cloud
      #Healthcare

      #DataManagement

      Client*

      The client is a global leader in developing pioneering healthtech solutions focused on driving innovative data management in clinical trials and the industry as a whole.

      *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
      Ongoing since 2016
      team
      3 specialists

      The team involved in the project

      industry
      Healthcare
      solution
      Clinical Trial Data Management Platform
      technologies
      Azure, JavaScript, JQuery, Net 4.6
      specialists
      3 x Full-stack Developers

      Challenge

      The main goal was to upgrade the outdated platform, turning the traditional e-data fetching solution into advanced software for clinical trial data management. Additionally, the client aimed to bolster the clinical data management software’s security capabilities by introducing HIPAA and GDPR compliance features.

      Related objectives

      System modernization
      Clinical data management upgrade
      Security and compliance improvement

      Solution & functionality

      Timspark revitalized the customer’s outdated clinical trial data management software by modernizing the solution’s architecture to eliminate technical debt, introducing new features, and transitioning to a new code platform.

      Data collection

      The primary function of the clinical data management system is to gather data concerning clinical trials for subsequent integration, management, analysis, and finding correlations. This solution supports the entire research process cycle and offers users advanced reporting capabilities.

      Data management

      The data-centric software for clinical trials is tailored for diverse medical organizations, aiming to digitize their internal processes. These organizations encompass medical labs, medical device manufacturers, pharmaceutical and biotech institutions, and contract research organizations (CROs).

      Results and business value

      After completing the project’s active phase, involving an update to the solution architecture, code migration, and expansion of functional capabilities, the old platform has evolved into cutting-edge clinical data management software. It is entirely HIPAA- and GDPR-compliant.

      Higher performance

      We’ve enhanced the system’s performance, stability, and usability, elevating its appeal for data management in clinical trials across the market.

      Long-term vision

      Given the resounding success during our collaboration in the active project phase, our IT specialists seamlessly transitioned to providing long-term support for the solution.

      Benefits for client

      The client highlighted the exceptional skills of our full-stack developers. The company has finally found a partner that is both technically and regulatory savvy, as well as a good communicator.

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        Let’s build something great together

          Let’s build something great together

            Let’s build something great together

              Let’s build something great together