Digital twins are computer programs that utilize real-world data to predict the efficiency of a product or process. The internet of things, software analytics, and artificial intelligence are ways manufacturers might improve their production. The usage of digital twins in fields such as healthcare, industry, research, and technology is becoming increasingly common.
What Is The Use Of Digital Twins In Healthcare?
Patients, anatomical structures, or medical environments may all be digitally replicated with the help of digital twins. As well as, in-depth information and real-time updates on health have been enhanced in the development of digital twins.
Electronic health records (EHR), illness registries, and wearable sensors are among the data sources used to simulate it. Predicting illness and collaborating on therapy and patient care might be done using digital twins in the near future.
A patient, anatomical structure, or hospital setting are all examples of digital twins and detailed information and real-time updates on a patient’s health and well-being. Wearable sensors, electronic health records, and illness registries are all included.
Future digital twin applications include predicting illness onset and collaborating on medicines and patient care through digital twins.
1. Advanced Surgical Procedures
A digital human body model is used to conduct pre-and post-operative testing and receive results. This reduces the possibility of harming human health.
As athletes go through their careers, the NIH creates digital twin models of them to anticipate better brain impairment caused by repeated concussions.
2. Personalized Health Information
Patients’ features, such as their age, gender, and renal condition, are taken into account while using this digital twin technology to monitor the efficacy and interactions of pharmaceuticals in their bodies. In addition to tracking physical activity, calorie consumption, and appointments, other apps may help you keep track of your health.
Using the patient’s imaging data, genetic data, and test findings, doctors may choose the best course of treatment for the patient. Digital Twin can assist diagnose chronic illness in a large population by evaluating physiological and behavioral data.
3. Observation Of Patients
Using mobile applications or devices, remote patient monitoring technology can collect and communicate patient health data to the health care team, such as a patient’s blood pressure or blood sugar levels.
There are a number of advantages to combining wearable devices with telemedicine software in light of the anticipated $51.60 billion markets for wearable devices by 2022.
4. Improving The Quality Of Treatment
Additionally, caretakers may use digital twins to get information from a wide range of doctors and specialists. For example, if a patient sees their primary care physician regularly, the physician will have a good idea of their medical history and prescriptions. Many of the same questions might be asked repeatedly if a patient sees the same specialist constantly.
To better comprehend a patient’s condition, a digital twin can employ tools like Natural Language Processing to mimic the patient. Additionally, it saves time and enhances the quality of information, such as particular drugs and health problems that clinicians need to know when making clinical judgments.
5. Medical School Training
The use of artificial intelligence systems speeds up drug trials. This digital twin technique is useful for tracking and predicting adverse medication reactions in real-life scenarios.
Doctors may be able to use it in the future to enhance the effectiveness of treatment strategies tailored to individual patients. The use of digital twins and enhanced/virtual reality to satisfy healthcare professionals’ training and educational needs is quickly gaining traction.
Future Of Digital Twins In The Healthcare Industry
In 2020, the digital twin market was estimated to be worth USD 3.1 billion and is expected to grow to USD 48.2 billion by 2026, according to market research. There will be a 58% compound annual growth rate throughout the projection period. The COVID-19 pandemic has increased the demand for digital twins in the healthcare and pharmaceutical industries.
To combat the COVID-19 pandemic, the digital twin market is seeing increased usage of digital twin solutions due to the industry’s shift in maintenance and changing face.
The demand for medical services has risen dramatically because of the promise of individualized health information, remote patient monitoring, better surgery planning, and many other digital twins.
In addition, hospitals and medical organizations may save expenses while also improving patient care by utilizing the Digital Twin model’s operational techniques and personnel.
In conjunction with IoT data, Digital Twin Applications in Healthcare will now play a significant role in enhancing the health and medical industry.