Medical Devices

Transformation in Healthcare with Digital

Digital transformation in medical devices is reshaping the healthcare landscape, driving advancements in precision diagnostics, personalized treatment, and improved patient care. As the industry evolves, medical device manufacturers are no longer just focused on delivering products; they are rapidly expanding to offer integrated solutions that combine cutting-edge technology, data intelligence, and comprehensive services to meet the changing market demands.

This shift reflects a broader trend towards holistic care, where devices are seamlessly connected with data-driven insights and support systems, ultimately enhancing the quality and efficiency of healthcare delivery.

Our innovative solutions utilize advanced technology to ensure you get the most from your investments, providing tailored experiences that meet the unique needs of both patients and providers.

Digital Transformation solutions for MedTech

Our technology solutions integrate with devices, systems, and workflows to transform patient care delivery.

Medical Equipment Software

Core Application

Our embedded software development services for medical equipment focus on creating highly reliable and efficient software that operates directly within the device. This involves:

Functional Requirements: We design the embedded software to meet the functional requirements and interface with the associated firmware and hardware, ensuring real time and accurate responses during medical procedures.
Safety and Compliance: Our development adheres to stringent medical device regulations and standards (such as FDA, ISO 13485), incorporating robust safety features and thorough testing to ensure compliance and patient safety.
Integration and Interoperability: We develop software that integrates seamlessly with other systems and devices, ensuring smooth interoperability within complex medical environments.
Scalability and Maintenance: Our embedded software is designed with future scalability in mind, allowing for easy updates and maintenance as technology and medical practices evolve.

GUI Application

User Experience: We focus on creating intuitive user interfaces and workflow within the device, enhancing the ease of use and efficiency for medical professionals.

Device Diagnostics

Technical Support and Diagnostics: Remote diagnostics and troubleshooting tools for maintaining and repairing medical equipment.

Medical Device Design Software

Application built to design custom implants for different joints of human body, integrating workflow from imaging to implant manufacturing. This involves:

Image Processing: Reading of DICOM data, segmentation and convert to 3D mesh.
Design Implants:
- Landmark Creation: Automate the process of land mark creation which is crucial for designing of implants.
- Standalone application for designing of implants with custom features to generate the supporting guides to design the implants and instrumentation.
- As an option, integrate with a standard CAD application for the design, instead of a standalone application.
- Planning Tools: Collaboration between the designers and surgeons for the design and approval of the implants and generate pre-operative surgical reports.
- 3D Printing: Integrate with 3D printing machines for manufacturing of the implants.

Data Management

Secure Cloud Storage: We implement advanced encryption protocols to protect sensitive patient data both during transmission and while at rest in the cloud. Compliance with healthcare regulations such as HIPAA ensures that data privacy and security are maintained.
Scalability: Our cloud storage solutions offer virtually unlimited scalability, accommodating the growing volume of medical data without the need for physical infrastructure expansion. This flexibility supports the increasing data demands of modern medical devices.
Data Integration: HL7 protocols enable the standardized exchange of data between medical devices and electronic health record (EHR) systems. This ensures that data from various devices can be integrated into a centralized cloud storage solution in a consistent format.
Data Interoperability: By adhering to HL7 standards, medical devices can communicate effectively with other healthcare systems and applications. This promotes interoperability, allowing for smooth data sharing and integration across different platforms.
Compliance: Compliance to HIPAA, GDPR, IEC 62304, NIST, AAMI, etc is the corner stone for data security.

Data Processing

Real-Time Image Processing

Processed images, along with advanced analytics, assist healthcare professionals in making accurate diagnoses and treatment decisions, ultimately enhancing patient care and outcomes. Some of the key aspects of the Real-Time image processing include –

Image Acquisition: The first step involves capturing images/video using various imaging modalities such as X-ray, MRI, CT, Ultrasound, and Endoscope.
Preprocessing: This step involves improving the quality of images by reducing noise, enhancing contrast, and correcting distortions. Techniques like filtering and normalization are often used.
Segmentation: This involves dividing the image into regions or segments to isolate specific areas of interest, such as organs, tumors, or blood vessels. Techniques like thresholding, edge detection, and region-growing are used.
Feature Extraction: This step involves identifying and quantifying specific features or patterns in the image, such as shape, texture, and color, which are crucial for diagnosis.
Image Analysis: Advanced algorithms, including machine learning and deep learning models, are used to analyze the images and aid in detecting abnormalities, diagnosing diseases, and predicting outcomes.
Visualization / Reporting: Enhanced visualization techniques are used to present the processed images in a way that is easy for healthcare professionals to interpret. This can include 3D reconstruction and color mapping.

Analytics

AI-driven predictive analysis

Outcome Prediction: Use AI and machine learning to predict patient outcomes based on data from medical devices, helping to anticipate complications and guide treatment decisions.
Cybersecurity Risk Analysis: Continuously analyze device data for signs of potential cybersecurity threats, such as unauthorized access or data breaches. Assess risks related to device performance, patient safety, and data security, and implement strategies to mitigate these risks.
Device Analytics: Usage patterns to help healthcare providers and manufacturers in optimizing the device deployment. Monitor device malfunctions, errors, and failure rates to identify trends, predict potential issues, and improve device reliability.

Case Studies

We pride ourselves on delivering innovative solutions that enhance medical device performance, streamline healthcare workflows, and ultimately improve patient outcomes. Our case studies highlight real-world applications of our technology and services, showcasing how we’ve partnered with healthcare providers, medical device manufacturers, and research institutions to tackle complex challenges. Here is sample list –

Standalone application for Custom Implant Design

Learn how CADVision helped accelerating custom implant design, reducing cycle time and fostering seamless collaboration with surgeons for an industry-leading medical technology company in North America

Application to automate the implant design in a CAD software

Web-based Surgeon
Review Tool

Web-based MedFocus Suite – DICOM viewer, 3D design, Segmentation tool

Prescription to Pill

Cutomers

Strategic Choice

Our extensive experience in MedTech engineering positions us as a preferred strategic partner for leading firms worldwide.

Our expertise in conceptualizing, modernizing, and digitizing medical devices and workflows sets us apart as a specialized solution provider.

100+ Person Years of experience in MedTech
Niche MedTech solutions
ISO 13485 certified

Medical Devices