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 for 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. By transforming flat scans into detailed 3D volumetric models, healthcare professionals could gain enhanced visibility for patient treatment and deeper insights into diseases and abnormalities.

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, 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, and 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 ensured that the web platform effortlessly worked 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 to highlight pathology. Doctors can easily identify and outline tumors in 3D reconstructions and measure lesion sizes to make informed surgical decisions.

Our developers set thresholds, pixel values, and previews for precise segmentation. This allows for detailed 3D customization in the 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 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

Related cases

Need assistance with a software project?

Whether you're looking for expert developers or a full-service development solution, we're here to help. Get in touch!

    What happens next?

    An expert contacts you after thoroughly reviewing your requirements.

    If necessary, we provide you with a Non-Disclosure Agreement (NDA) and initiate the Discovery phase, ensuring maximum confidentiality and alignment on project objectives.

    We provide a project proposal, including estimates, scope analysis, CVs, and more.

    Meet our experts!

    Viktoryia Markevich

    Relationship manager

    Samuel Krendel

    Head of partnerships

    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.

    Related cases

    Need assistance with a software project?

    Whether you're looking for expert developers or a full-service development solution, we're here to help. Get in touch!

      What happens next?

      An expert contacts you after thoroughly reviewing your requirements.

      If necessary, we provide you with a Non-Disclosure Agreement (NDA) and initiate the Discovery phase, ensuring maximum confidentiality and alignment on project objectives.

      We provide a project proposal, including estimates, scope analysis, CVs, and more.

      Meet our experts!

      Viktoryia Markevich

      Relationship manager

      Samuel Krendel

      Head of partnerships

      Telehealth Solution: 5-7% Boost in Financial Results

      Telemedicine app

      Telehealth Solution: 5-7% Boost in Financial Results

      Timspark addressed the client’s need for telehealth app development and created native iOS and Android applications, integrating them into the SaaS healthcare environment.

      #Telehealth

      #Mobile

      #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

      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

      Need assistance with a software project?

      Whether you're looking for expert developers or a full-service development solution, we're here to help. Get in touch!

        What happens next?

        An expert contacts you after thoroughly reviewing your requirements.

        If necessary, we provide you with a Non-Disclosure Agreement (NDA) and initiate the Discovery phase, ensuring maximum confidentiality and alignment on project objectives.

        We provide a project proposal, including estimates, scope analysis, CVs, and more.

        Meet our experts!

        Viktoryia Markevich

        Relationship manager

        Samuel Krendel

        Head of partnerships

        Health Management App: Cross-platform AI-driven Solution for Asthma Treatment

        AI/ML-based app

        Health Management App: Cross-platform AI-driven Solution for Asthma Treatment

        The team built a user-friendly asthma care app for iOS and Android platforms from the ground up, seamlessly integrating AI and ML algorithms.

        #healthcare

        #ai #ml

        #mobiledevelopment

        Client*

        A European company focusing on developing digital products.

        *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

        12 months

        team

        6 specialists

        efforts

        1920 hours

        Team involved in the project

        industry

        Healthcare

        solution

        Asthma management application

        technologies

        Android, iOS, Python, Dart, Flutter, Django, PostgreSQL

        1 x Project Manager

        2 x Flutter Developers

        1 x DevOps Engineer

        1 x Python Developer

        1 x QA Engineer

        Challenge

        The main goal was to develop a cost-effective care solution harnessing AI and ML algorithms that would assist both medical practitioners and individuals with asthma in treatment goals.

        Related objectives

        Develop the app’s functionality and design

        Integrate AI and ML algorithms

        Implement a set of features (calendar, reminders, statistics)

        Solution & functionality

        Our team developed an innovative asthma management app that harnesses the power of AI and ML algorithms and helps users monitor their symptoms, inhaler usage, environmental triggers, and have a better control over their health.

        Two users mode

        The app offers two user modes: patient mode and administrator mode.

        The end-users of the application are patients who have asthma. They can actively interact with the platform to ease the management of their symptoms. This involves inputting details about their primary and emergency inhalers, setting up daily reminders, and other functionalities.

        Administrators are responsible for keeping the machine learning algorithm up-to-date with relevant data. They also ensure that the inventory of available inhalers within the application is consistently maintained. This guarantees that patients always have access to their prescribed medications.

        Personalization: tracking, reminders, recommendations

        In their personal profiles users can perform multiple functions that help evaluate and monitor the state of their health.

        • Users can fill in the information about the primary and secondary inhalers, customize reminders and notifications to create a personalized schedule.
        • Users get an overview of the day, like possible health risks, symptoms triggers, and the list of inhalations planned.
        • In the personal dashboard, users can access the Calendar section with the weekly and monthly statistics.

        AI/ML-driven analysis and predictions

        Thanks to artificial intelligence and machine learning algorithms implemented in the app, users get accurate analysis and predictions of their health state.

        • Based on various factors like weather, humidity, and others, the app can evaluate the risk of asthma attacks.
        • With submitted audios, the machine learning algorithm analyzes how patients use their inhalers and produces a summary and recommendations for further fine-tuning and usage.

        Results and business value

        Our team launched the MVP in 2 months, developing an innovative, user-friendly mobile solution for asthma management.

        Personalized care

        Symptoms control

        User-friendly interface

        Reduced hospitalization cases

        The application tracks the patient’s condition, analyzes the information about the inhalations the patient takes, and provides personalized guidelines, alerts, and reminders based on the information provided.

        Related cases

        Need assistance with a software project?

        Whether you're looking for expert developers or a full-service development solution, we're here to help. Get in touch!

          What happens next?

          An expert contacts you after thoroughly reviewing your requirements.

          If necessary, we provide you with a Non-Disclosure Agreement (NDA) and initiate the Discovery phase, ensuring maximum confidentiality and alignment on project objectives.

          We provide a project proposal, including estimates, scope analysis, CVs, and more.

          Meet our experts!

          Viktoryia Markevich

          Relationship manager

          Samuel Krendel

          Head of partnerships

          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

          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

          Need assistance with a software project?

          Whether you're looking for expert developers or a full-service development solution, we're here to help. Get in touch!

            What happens next?

            An expert contacts you after thoroughly reviewing your requirements.

            If necessary, we provide you with a Non-Disclosure Agreement (NDA) and initiate the Discovery phase, ensuring maximum confidentiality and alignment on project objectives.

            We provide a project proposal, including estimates, scope analysis, CVs, and more.

            Meet our experts!

            Viktoryia Markevich

            Relationship manager

            Samuel Krendel

            Head of partnerships

            Let’s build something great together

              Let’s build something great together

                Let’s build something great together

                  Let’s build something great together

                    Let’s build something great together

                      Let’s build something great together