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Is a post-pandemic healthcare sector ready to join the Fourth Industrial Revolution? This period is characterized by a shift from valuing only what is manufactured to valuing the data and connectivity of the ecosystem in which it operates — and innovation in the human interaction with such ecosystems. Key enablers of the Fourth Industrial Revolution are digitalization, data, computer modeling, and artificial intelligence (AI). These technologies build on each other and multiply both capability and value. Healthcare systems are accelerating access to data, digitalization, analytics, and predictive modeling. The mindset is shifting from treating disease to preventing it, maintaining health, improving the quality of life, and achieving healthy longevity. These are indicators that the healthcare sector is indeed primed for transitioning to the Fourth Industrial Revolution.
The healthcare sector is one of the largest, and it has the most personal impact. Healthcare also has been criticized as one of the slowest sectors to adopt technology. The reason for that criticism is that compared with the rapid pace of software and consumer technologies, which are measured in fiscal quarters, the pharmaceutical and medical device industries measure their development cycles in years. For example, from the development of a new drug to approval for marketing often takes 10 to 15 years. Meanwhile, the average time from the concept for a new medical device to marketing is about six years. Clinicians have better, more seamless technologies in their lives as consumers than they do in their clinics and operating rooms.
So what are the challenges or obstacles to the adoption of computational methods by the healthcare sector? In this sector, computational methods are referred to as computer modeling and simulation (CM&S) or in silico methods (ISMs). The “in silico” terminology is an extension of how experiments are performed in biology — namely “in vitro,” which is Latin for “in the glass,” and “in vivo,” which is Latin for “in the living.” In silico methods therefore mean “in the computer, computer modeling, or computer simulation.” ISMs include simulations of bench tests, simulations of living systems, and simulations of clinical trials, also known as in silico clinical trials (ISCTs). According to surveys conducted by the Medical Device Innovation Consortium and InSilico UK across the medical device and pharmaceutical industries, the three most significant barriers to adoption of in silico methods are:
This may imply that healthcare is indeed a slow adopter of technology, but that is not the case. When technology is presented to the sector in a way that can be easily adopted or significantly enhances the care of patients, industry is quick to act. This is seen in imaging technologies, as well as sensor and wellness technologies. However, significant market forces are driving the need for further adoption of computer modeling and simulation:
“With the advances in simulation techniques and computational power, for each day that a company or product line delays adoption of modeling and simulation, a month of time is lost to a simulation-driven competitor.”
— Mark Palmer, Senior Chief Technologist for Healthcare, Ansys
The latest issue of Ansys Advantage magazine presents the role of Ansys’ healthcare strategy in supporting and accelerating innovations in healthcare. We are excited to share our three pillars of healthcare:
We hope that the examples of innovation we are sharing in the Simulation Transforms Helathcare issue of Ansys Advantage capture your imagination and inspire collaboration for the use of modeling and simulation to improve health and wellness around the world.
The Ansys Advantage blog, featuring contributions from Ansys and other technology experts, keeps you updated on how Ansys simulation is powering innovation that drives human advancement.