Virtusa’s expertise in digital transformation has helped medical device companies solve critical challenges, like regulation compliance and supply chain management, by leveraging digital technologies such as automation, advanced analytics and insights, AI/ML, cognitive, and the Internet of Medical Things (IoMT). Our solutions allow industry leaders to achieve digital transformation to help support product innovation, increase commercial opportunities, and fuel value-based care. Examples include:

• Creating an intelligent digital wearable for a UK-based medical device company that helps monitor wound healing for patients with diabetic foot ulcers. The solution uses mobile, cloud, and IoT analytics to simplify treatment adherence by allowing healthcare workers to monitor patients in real-time.
• Improving care coordination of pediatric cancer programs at Children’s Minnesota Hospital using our solution- Pivot, enabling easy access to patient treatment plans and medical history. Pivot is designed with a provider portal and mobile application that gives healthcare teams access to real-time updates, patient overviews, and secure messaging. 
• Developing a connected health platform with real-time monitoring for home-dialysis patient care by leveraging IoT, Mobility, Cloud, Analytics, and Security. The platform enables remote tracking of dialysis information in real-time, allowing providers to personalize treatments, all while simplifying claims processing. 
• Updating a client’s Spinal Cord Stimulator (SCS) legacy technology using analytics, IoT, AI, and cloud to improve personalization, visibility, data availability, and user experience. The smart system makes chronic pain easier to manage. It drives patient engagement by utilizing a mobile app instead of a physical remote, enabling joint video conferencing to gather important updates, and initiating web-based patient health reports on critical pain metrics. 
• Building a platform using simulated data, ML, and a synthetic data lake enables IBRI researchers to test analytics capabilities for research and innovation. Researchers have access to a simulated diabetes-optimized EHR dataset that provides real-time data, automated profiling, and testing, and replicated EHR data for research collaboration. 

Virtusa’s broad range of engineering expertise and human-centric design capabilities help medical device companies open new channels of opportunity to benefit from digital transformation. We have leveraged technology, such as AI/ML and automation, to build solutions tailored to support programs for chronic diseases such as diabetes, cardiovascular, chronic kidney disease, and respiratory and musculoskeletal disorders. Our medical device technology solutions help our clients adapt to digital disruptions, increase operational decision-making, and enhance market share by streamlining administrative and clinical workloads, optimizing data in complex systems, and improving high-volume information streams. 

Medical devices consist of various technologies that help individuals manage or assist in delivering healthcare treatments or support monitoring disease and chronic illness. Medical devices are used for care prevention preventive care and health management in physician offices and outside clinical settings. Examples include:

• Implantable: pacemakers, artificial joints, and intraocular lenses
• Imaging: nuclear medicine imaging, X-rays, MRI, and CT scan
• Medical equipment: EKG machines, defibrillators, and anesthesia machines
• Software: computer-aided detection, diagnostic, and multiple source data collections

The medical device industry must contend with increasing regulations, complex operational management, and competitive markets to maintain technological output and business growth. The medical device industry should invest in digital transformation to help transform product development, device maintenance, and logistics and inventory management. Medical device technology solutions, like advanced analytics and artificial intelligence (AI), help reduce healthcare costs by allowing physicians and patients to monitor healthcare status and chronic illness through wearables and medical device monitoring. Remote patient monitoring tools powered by cloud technology, machine learning, or automation provide healthcare workers with real-time health updates and help patients receive comprehensive care by processing complex data faster.

Medical device companies must be able to keep up with the high demand for product innovations, production timetables, and safety regulations. Businesses must make strategic choices when faced with multifaceted tasks, such as initiatives against security threats and improved compliance with warehouse operations. Medical device solutions and IT services can reduce operational costs, provide data for new research projects, and enable better monitoring of complex health issues. Examples include:

• Cloud technology: Cloud computing provides remote access to essential data. Medical devices connected to the cloud can easily transmit patient data and make the information accessible to important stakeholders. Cloud services can extract patient insights from wearables and monitoring devices, allowing clinicians to use the data points to understand better connections between patient habits and drug dosages that affect overall health outcomes. 
• 3-D technology: 3-D rendering can benefit the product development process by helping to design medical devices more precisely and for a broader range of applications. 3-D product designs can decrease time spent managing safety features by actualizing user experience in a 3-D environment. Development teams can also ensure new models are designed according to FDA regulations and guidelines, advancing the best methods for commercialization. 
• Artificial intelligence (AI): AI can be used in medical devices to analyze patient data to screen for detection of cancer cells or abnormal tissue growth. AI can analyze large amounts of data collected from diagnostic tools and detect neurological anomalies with more precision. Medical imaging of complex medical issues can be programmed with AI algorithms to swiftly sort through multiple image characteristics, increasing the accuracy of medical diagnosis and improving the rate of successful treatment. 

The medical device industry must ensure quality standards when manufacturing healthcare products and comply with the increasing demands of FDA regulations. Products cited for poor quality lead to challenges for medical device companies, such as recall notifications and costly lawsuits. The high cost of healthcare puts demands on companies to lower the cost of R&D and production, making it harder to perform device testing and qualify for device standards. Supply chain management can be challenging to companies that do not have the infrastructure to keep up with the demands of regulatory requirements or that have over-reliance on one sourcing method and supplier business. 

Medical device technology solutions, like the Internet of Medical Things (IoMT), automation, AI/ML, cloud technology, and data analytics, can help the medical device industry solve everyday challenges. Advanced analytics can support a data management system that allows medical device companies to use large volumes of data better, making it easier to manage device inventory. IoT technology can be used with medical devices to send real-time patient data to connected healthcare systems, aiding providers with accurate patient health information that can lower the cost of chronic care. 3-D technology can help reduce the cost of manufacturing and production expenses by printing materials used in medical devices, such as biomaterials, surgical instruments, and dental molds. 3-D printing gives companies more flexibility in design development, allowing for testing multiple prototype variations that can be customized to a patient’s unique medical needs. 

Software as a Medical Device (SaMD) is any medical software designed for one or multiple purposes in healthcare settings without needing to be a part of the device hardware. SaMD can be used in various platforms, such as commercial and virtual networks, allowing for smartphone viewership of diagnostic images. SaMD can be interfaced with the hardware and software of other medical devices or aid general-purpose computing platforms. It can be classified as software that is a medical device, for example, by allowing personal phones to view medical images from healthcare networks that aid in disease treatment. SaMD can collect high volumes of data from different devices, advancing new product innovation methods due to direct user feedback on medical benefits.