Medical Devices Development Trends in 2016

The medical devices development industry is one of the biggest industries in healthcare, stimulated by innovation and new technologies. The last few years have seen great growth in innovative and improved technologies, which has led to the development of state-of-the-art medical devices and catalyzed growth and advancement in the healthcare industry.

As the medical device industry enters 2016, the United States remains the world leader by market size, with total revenue of around $136 billion, which represents approximately 45% of the global market, according to the US Government Accountability Office and revenue in this sector could touch an estimated USD 349 billion by the end of 2016.

We can see the trends in medical devices development show that the medical equipment industry is a vast one with a high degree of division. It consist of products and systems ranging from thermometers to catheters to blood processing devices and monitoring systems to injury care equipment, special bags,syringes and glucose meters and pumps with other products. The key market segments contain surgical supplies and equipment that compose nearly 45% of the entire market. The rest of the market constitutes products such as disposable medical supplies and patient monitoring devices.

According to Gartner, now we can divide Medical Device Development trends in 2016 into three categories: the digital connections, smart machines, and the new IT system. Let's take a closer look at each category.

The digital connections

digital healthcare solutions

  • Connected devices. Today all devices from cars, phones, cameras, household appliances, and others are connected in an accrescent set of gadgets people use to access applications and information, or interact with friends, social communities, governments and businesses. As the device connection develops, we expect connection models to expand and bigger cooperative interaction between devices to arise. We will see significant development in wearables and augmented reality, especially, virtual reality. So, the first Trend in Medical Devices Development is improving software for wearable and portable devices.

  • User experience. Users can interact with devices and applications in a functional multistep order that may last for a durable period. The experience mixes physical, virtual and electronic environments, and uses live contextual information as the circling environment changes as the user moves from one place to another. Organizations will need to consider their customers’ behavior trips to shift the focus on design from smart apps to the entire network of applications and services involved in user behavior.

  • 3D printing. 3D printing with an increasing diversity of materials, including pharmaceuticals and biological materials for a practical supplement in the healthcare industry. Recent approaches make it possible to mix different materials along with traditional 3D printing in one construction. This could be useful for field procedures or renovations when a specific instrument or ingredient is required and printed on demand. Biological 3D printing — such as the printing of skin, particular organs or its parts — is transforming from theoretics to reality. The software for 3D printing system should be highly accurate and easily adaptive.

Smart Machines

healthcare smart machines

  • Machine Learning. Deep learning sometimes called deep machine learning, deep structured learning, hierarchical learning, or sometimes DL is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures or structures composed of multiple non-linear transformations. Deep learning will also extend beyond the internet - into devices that can operate in the physical world—things like robots and self-driving cars. Recently researchers at the University of California at Berkeley presented a robotic system that uses deep learning tech to teach itself how to screw a cap onto a bottle. Deep learning is particularly interesting because it has transformed so many different areas of research. Nevertheless, deep learning and object recognition are not enough to make a smart robot. Algorithms go beyond conventional technologies to learn and identify objects by comparing them to other things they have learned in the past. Then the algorithm places all of the objects on a three-dimensional map. In the past, researchers used very separate techniques for speech recognition, image recognition, translation, and robotics. But now, one set of techniques - through a rather broad set—can be applied to all of these fields. As a result, each of these fields is suddenly evolving at a much faster rate. Facial recognition has become mainstream and can immediately learn to recognize an object using an ordinary camera. Then, as the object moves, deep learning algorithms learn more about the object in different environments so the recognition gets even better.

  • Autonomous technologies. Advanced machine learning gives growth to a variety of smart machine implementations — including robots, driverless cars, virtual personal assistants (VPAs) and smart advisors — that act in an autonomous (or semiautonomous) method. This feeds into the circumambient user experience in which an autonomous device becomes the main user interface. Instead of interacting with menus, forms, and buttons on a smartphone, the user speaks to an app, which is really an intelligent agent.

 

New IT system

healthcare IT systems

  • New System Architecture. The digital connections and smart machines require high computing architecture demands to make them lively for organizations. They will get this extra from ultra-efficient neuromorphic architectures. Systems built on GPUs and field-programmable gate arrays (FPGAs) will operate more like human brains that are particularly suited to be applied to machine learning and other pattern-matching technology that smart machines use. FPGA-based architecture will allow distribution with less power into the diminutive IoT and mobile endpoints, such as homes, cars, smartwatches and even human himself.

  • Connected Application and Service Architecture. The connected app and service architecture are what makes it possible to deliver apps and services to the compliant and dynamic environment of digital connections. This architecture will meet users’ requirements as they may change over time. It brings together many sources of information, devices, applications, services, and microservices into a flexible architecture in which applications expand across multiple endpoint devices and can synchronize with one another to produce a continuous digital experience.

  • Internet of Things Platforms. IoT platforms exist over the connected app and service architecture. The technologies and standards in the IoT platform form a basis set of facilities for communicating, controlling, managing, administrating and securing endpoints in the IoT. The platforms aggregate data from endpoints in backend from an architectural and a technology standpoint to make the IoT a reality. (6346)

It is required that medical devices should be designed to satisfy the requirements, needs, and capabilities of their users. The benefits of a user-centered approach to design include improved patient safety, better treatment results and increased user satisfaction. It has also been suggested that products that have been designed in this way are more likely to be commercially successful and less likely to require post-market adaptation or recalls. To increase the producing of producing such a device, developers must have a clear and accurate understanding of, the clinicians, patients, and carers who will use the device. The circle of material and organizational environments where a device will be embedded must also be considered.

It is important for medical device manufacturers to select software designers and developers who have well-established risk management systems, as they will be able to meet standards.

Within one of our projects, we developed among the other services and 3rd party API integration module that allows the members of social based aid community to report the emergency requests directly to the monitoring systems of some Israeli hospitals.

Moreover (considering industry high demand for interoperability and standardization of healthcare delivery) Archer Software offers its in-depth expertise in system analysis, planning and prototyping the solution that would be a central dashboard application to aggregate, re-format and store all patients personal data, treatment details, appointments history, medications, specialists comments and lab results like CBC, HCT, Hg and others according to HL7, CCD standard.

Our software development history offers a bunch of successfully beneficial cooperations with such companies as Medoc, Rimed, Medasense, Pixcell where we took care of all the common routines like UI development, Business Logic layer and APIs updates, integration and updating hardware connectivity layer, technical documentation, auto-tests support and other, while the client team focused on research and science part of the project which helped them cover their strategic plan faster and with much less “technical debt” in project codebase.

The above critical points of development are often accompanied by the concern about effective and professional security measures while implementing and testing products.

We have a broad experience working with the products highly focused on data and processing security. Implementing it via specific security-oriented measures while building the product sub-systems intercommunication, data storing and processing activities, setting up and updating infrastructure, we also have a group of approved QA techniques dedicated to indication and covering various potential vulnerabilities.

Also, we have a diverse experience working with mobile applications that solve these and other burning issues: