The one-size-fits-all healthcare model that we know today is not sustainable. Its poor efficacy and inefficiency is leading to skyrocketing costs. In the future, medicine will be personalized, predictive and outcome-based: You’ll pay a little for being healthy instead of paying more for costly tests and treatments.
Making healthcare more personalized will lead to an increase in the number of wearable and implantable devices. These devices will measure vital parameters, manage collected data, analyze the results and communicate them to the patient and the supporting medical staff.
The Role of Simulation in Personalized Healthcare
The engineering challenges of personalized care are multiple. Medical device manufacturers must:
- Reduce the size of devices without impacting their reliability
- Maximize patient safety by ensuring biocompatibility and minimizing energy dissipated in soft tissues
- Address issues regarding signal interference with the body, signal integrity and cyber security
- Design reliable embedded software and patient-friendly interfaces
- Optimize energy efficiency and battery recharging intervals
ANSYS solutions help to overcome these challenges by simulating how medical devices interact with a patient’s body to ensure safety, biocompatibility, efficiency and performance. Structural, electromagnetic and fluid flow simulations can be valuable either separately or in multiphysics mode. MRI scans and other medical imaging techniques can be used as the simulation geometry for a specific patient to tailor a medical device or surgical solution for that patient’s unique anatomy. A personalized model provides improved operation and a better fit for implantable medical devices, as well as more successful outcomes of surgical procedures.
Regulatory and Cost Benefits
Conscious of the difficulty of innovating quickly and cost-effectively while maximizing patient safety, the Food and Drug Administration (FDA) and policy makers are encouraging the adoption of computational modeling and simulation to accelerate the product development process. Testing digital prototypes on many virtual patients (in silico clinical trials) and synthesizing the simulation results can streamline the regulatory approval process.
Personalized healthcare will make healthcare affordable, sustainable and profitable. This revolution has already begun, but such a major paradigm shift requires massive innovations in which engineering simulation will play a key role. ANSYS simulation solutions have already contributed significantly to this revolution, and will grow in importance in the years ahead.
Digital System Prototyping for Medical Devices
A multidomain, digital system prototyping platform enables multispecialty teams with diverse engineering backgrounds to work in unison to achieve a deep understanding of integrated product behavior. This white paper summarizes the application of this platform to develop a digital system prototype of a wearable insulin pump. Digital system prototyping software helps medical device companies:
- Develop disruptive medical innovations faster and more reliably
- Partially replace clinical trials
- Ensure greater success of a clinical trial through in silico simulation
- Improve collaboration across disciplines
- Optimize the performance of physical components and integrated systems of hardware and embedded software
How Pervasive Engineering Simulation Became the Pulse of the Healthcare Industry
The use of engineering simulation in the healthcare industry is pervasive from the component to the system level. Research shows that best-in-class companies invest in a broad portfolio of engineering simulation tools. Benefits of a consolidated simulation platform:
- 24 percent more likely to meet product launch dates
- 37 percent more likely to decrease development time
- 50 percent more likely to decrease simulation total cost of ownership
Leveraging Engineering Simulation to Fast Track Personalized Healthcare
Personalizing healthcare treatment to each patient is quickly becoming a competitive imperative for healthcare companies, yet the cost of designing implanted medical device and wearables prototypes and testing them on the target population is prohibitively high. Engineering simulation is the answer to overcoming this challenge and addressing several bioelectronics technology gaps.
- Measuring target parameters reliably for every patient
- Optimizing the size, weight, power and cooling (Swap-C) of medical devices
- Optimizing the electromagnetic interactions of devices with their environment
- Ensuring patient safety and regulatory compliance
- Delivering flawless embedded software and a patient-friendly interface
University of Mississippi and ANSYS
Andrew Pruett of the University of Mississippi Medical Center discusses how a partnership with ANSYS improves patient specific treatment options and outcomes by making drug and device development.
- More efficient
- More cost effective