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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

Custom Software Development / Backend Development 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

hire the team

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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    Telehealth solution: 5-7% boost in financial results

    Telemedicine app
    Telehealth solution: 5-7% boost in financial results
    Timspark addressed the client’s need in telehealth app development and created native iOS and Android applications, integrating them in the SaaS healthcare environment.

    #telehealth solution

    #mobile development
    #ios #android

    Client*

    Our client is a telehealth software vendor specializing in platform-driven digital health solutions and white-label applications.
    *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
    2021 — Ongoing
    team
    8 specialists

    Team involved in the project

    industry
    Healthcare
    solution
    Remote patient care app
    technologies
    Native Android (Android Studio 4.1.0+, Kotlin), Native iOS (Objective-C, Swift)

    2 x iOS Developers

    2 x Android Developers
    1 x Project Manager
    1 x Business Analyst
    1 x UI/UX Designer
    1 x QA Engineer
    HIRE THE TEAM

    Challenge

    The main goal was to create a telehealth solution for iOS and Android platforms that would work seamlessly with the current telehealth web platform in the SaaS healthcare software system.

    Related objectives

    Incorporate video conferencing functionality
    Guarantee HIPAA adherence
    Achieve smooth integration

    Solution & functionality

    The team crafted a digital healthcare solution for remote medical care available on both iOS and Android. While working on telemedicine app development, we considered every facet of the healthcare process, from appointment scheduling to reimbursement processing. This resulted in the creation of two modules: one for physicians and one for patients.

    Patient module

    Security

    To get access, users should pass through multi-factor authorization. As the product targets the US market, this measure is especially crucial regarding HIPAA-compliancy rules.

    Personalization features

    Patients input their symptoms into the chatbot, and the system correlates them with relevant physicians.

    Easy scheduling

    All healthcare workers have their profiles with comprehensive information, like experience, education, and timetable. Patients receive smart suggestions from the chatbot or can choose the available doctors in the list via filtering and schedule a consultation. After confirmation from the doctor, the system sends a push notification to the patient.

    Multimedia integration

    For doctor-patient consultations, the telehealth solution offers video calls. All electronic appointments are securely recorded and saved in a HIPAA-compliant cloud. When necessary, participants can exchange text messages and multimedia content. After the e-visit, patients are encouraged to give feedback and evaluate the doctor’s performance. Ultimately, the doctor devises a treatment plan, schedules necessary lab tests, prescribes required medications and organizes the next appointment.

    Physician module

    Functionality for physicians and the administrative staff

    Within the telemed app, doctors have access to timetables, can validate appointments, engage in electronic consultations, prescribe medications, and generate treatment outlines. They are able to access the patients’ profiles to monitor vitals, medication intake, view appointment history, and analyze medical records.
    As for the administrative staff, all the critical data is synchronized within the app which can be effortlessly linked with in-house telehealth software solutions, and the administrators can easily oversee reimbursement and healthcare billing processes.

    Results and business value

    The team crafted native applications for iOS and Android for remote healthcare, seamlessly merging them into the client’s healthcare software setup. We provide ongoing support and implementation of new functionality for the released product.

    HIPAA compliance and secure PHI

    Reduced costs for healthcare delivery

    Expected 5-7% boost in economic results

    Related cases

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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.

      Related cases

      see all case studies

      We appreciate your interest in Timspark

        Let’s build something great together

          Let’s build something great together

            Let’s build something great together

              Let’s build something great together