Pharmabiz
 

IoT enabled design and biz models in health care sector

Shital JoshiThursday, December 15, 2016, 08:00 Hrs  [IST]

Imagine a pill bottle that reminds the patient when it’s time to take a medication, or a watch that monitors heart rate or automated insulin pumps that monitor and respond to blood glucose levels. Every single of these premises rely on an early detection of an emerging problem that can be addressed with a preemptive treatment response, maximizing the chances of a successful treatment with cost effectiveness. Digital health industry innovations like these, including the inculcation of the cloud based technology into all digital health systems and the introduction of unique software for practice management, predictive analysis and care management software will drive the growth with great impact.


The digital health market size is estimated to exceed US$ 379 billion by 2024 as per the latest research report by Global Market Insights, Inc. This is because connected medical devices, and connected services have better safety & effectivity to offer, through real-time monitoring of patient adherence, state of the disease and the recovery process. Emergence of healthcare IT coupled with growing penetration of smart phones, tablets and other mobile platforms have led to increased adoption of new business models. Digital technology has enabled people make smarter choices and receive products with value added services.


IoT and healthcare

In future the medical treatment will evolve to have – what it is called as P4 Medicine. This means Preventive, Predictive, Participatory, and Personalized. To achieve P4 Medicine goal, a continuous measurement of virtual parameters that can define patient health is needed. IoT enabled devices achieves this goal. Based on the indications, we can see that IoT devices will be pervasive within a decade. This will forever change the way healthcare is accessible to all. Quality and affordable healthcare for all can become reality through IoT.


Designing IoT devices is creating massive opportunities for existing businesses and giving rise to brand new markets and companies. Engineering simulation helps engineers develop the best possible “things” in the Internet of Things. The engineering challenges of designing IoT devices have proven that the Simulation-Driven Product Development approach is even more applicable to designing the connected, low-power devices of tomorrow, whether they are wearable consumer devices, medical implants, connected cars or industrial turbines. The belief is that creating the best possible “thing” (IoT device) absolutely requires engineering simulation. After gathering the best practices from the extensive work with IoT leaders, across industries, we can now have a fair insight into a comprehensive framework for applying engineering simulation to the Internet of Things.


Design challenges for Internet of things (IoT)

IoT enabled devices – implanted or wearables – need to have highest reliability i.e. the devices need to be faster, smaller and cost effective. Most devices will get power from battery, so power consumption and power efficiency should be favorable for device to run longer. Device should have good wireless connectivity with low amount of data to be transferred. On top of this, device should be safe and meet regulation for safety and efficacy. For example, device should be compliant to be used in MRI. Also, Electromagnetic emission (EMI) should be in permissible limit.


One of the key challenges for the designers of medical devices is to understand and optimize the connectivity and communication between the user and the device. For example, incorporating a radio link in an implanted medical device can increase its range of applicability and improve quality of life for the patient. The developments in the supportive electronics decrease design risk, but the implanted antenna still remains a critical component of the communications link that operates at a very low received power. The transmitted power is limited both by regulatory restrictions and, for most implanted devices, by power source capacity. Dielectric losses and wave trapping in the body result in transmission losses much greater than seen in free space communications. Small antenna size is required for physiological acceptability. Design optimization must trade antenna size, geometric complexity and material cost against efficiency, as well as operating bandwidth and driving power. Designs must also work in differing body morphologies.


IoT engineering simulation and India as a market

Technology will play critical role in achieving quality and affordable healthcare for 1.2 billion population in India. IoT based devices will enable the vision of bringing quality healthcare in rural area and by connecting patient with doctors and medical professional sitting far away. Indian as well as multinational companies have been putting emphasis in creating product lines created specifically for India market.


Creating new connected products will have its own product development challenges as mentioned before. By deploying engineering simulation upfront in design cycle – will not only reduce the design and development time but will also ensure that product is meeting high quality with low cost. Pioneering companies like Cambridge Consultants were early adopters of engineering simulation to model the behavior of medical devices and their communication components together with the surrounding environment – and particularly “through-body” communication, where implanted devices communicate with external devices. Competing goals of reliability, robust connectivity and low-cost can be achieved to create India specific IoT enabled medical devices using extensive usage of engineering simulation in device design.


Future strategy: Accelerating globalization to meet local needs

Globalization of healthcare addresses the lack of engineering resources in non-industrialized countries. It also enables the healthcare industry to customize global concepts (device, product or process) to meet local needs. Key variables include patient diversity, a population’s average health, treatment affordability, access to energy and regulatory standards. Thus, a single medical solution may not meet all needs. Present technology in practice usually involves a trip to the doctor’s office to download data from a patient’s device for review. But this is not enough: There is a need of Medical Internet of Things (Medical IoT) which should extend the connectivity and transmission of health data from the patient to the physician on a regular basis, or immediately and continuously in an emergency.


Thus engineering simulation is at the heart of this globalized product development approach. As can be seem throughout simulation can mimic multiple scenarios as required by local regulatory approvals; patient variables can be tested in silico; and virtual human laboratory data can be adjusted to represent a local population. The outcome of these is affordable medical treatment through reduced manufacturing/operating costs. There has been a significant increase in demand for remote patient monitoring services, healthy and sound investment outreach and of course, better and favourable government initiatives that will primarily drive the global digital IoT health market. So here’s a big shout out to the healthy IoT enabled future!


(The author is Sr. Manager, ANSYS)

 
[Close]