Precedence Research estimates that the healthcare market applying artificial intelligence (AI), specifically machine learning (ML) tools, will be Applications of artificial intelligence and virtual hospitals for telehealth and face-to-face treatment are expected to become more common in the coming year.
The consequences of Covid-19 combined with the economic downturn and the rapid development of technology have changed worth $20 million by 2023.
Before that, computer vision, natural language processing, pattern recognition algorithms, and AI-derived technologies have penetrated deeply into the healthcare ecosystem. They will become more common throughout 2023.
Pharmaceutical research and development is one of the medical fields that uses artificial intelligence. Algorithms can help predict clinical trial outcomes, potential side effects of new drugs, analyze medical images, and use computer vision to detect early warning signs of cancer disease on X-ray or MRI.
AI has also been successfully used to detect and treat neurological disorders, including Parkinson’s disease and Alzheimer’s disease.
In addition to frontline clinical trials, AI is also being used for clerical work, such as processing insurance claims or managing medical records. It also helps to analyze data collected from the patient’s personal wearable or sensor at home, helping to provide early warning or prediction of various conditions.
Virtual Hospital And Telehealth
Telemedicine services have become more common during the pandemic. Even as restrictions are lifted and face-to-face visits resume, many patients and providers are realizing the convenience and savings of this type of care. Some experts also suggest that familiar environments and closeness to family have a positive effect on disease progression.
Telemedicine exists in a variety of situations, from video calling a doctor to telesurgery, in which the doctor operates on the core from another location using robotic arm technology.
Another telehealth model is the virtual hospital. Doctors and nurses gather in one facility, treat and care for some patients who are far away, unable to leave their residence due to medical conditions.
Medicare In Retail Form
According to researchers at Forrester, the number of healthcare business models realized through retail will double by 2023. This trend becomes more apparent as retailers like Walmart, Amazon and CVS provide services such as blood tests, immunizations, and health checks.
The reason is due to the global economic downturn leading to budget tightening in traditional medical facilities. Besides, retailers want to capitalize on consumer expectations and create more affordable, convenient, and better-priced options than traditional hospitals.
Forrester Research said: “By 2023, patients will rely on retail healthcare for basic care needs because the health system (which may be constrained by lack of resources) is not responding. okay. Use their expertise.”
Retail service providers are often more accessible without an appointment like traditional visits. They are also less affected by medical staff shortages – a problem that is expected to worsen next year.
A Personal Medical Device Worn On The Body
Wearable medical devices for personal health and fitness monitoring will become more common by 2023. Many companies have rapidly expanded this model in recent years, offering from devices as simple as a heart rate monitor and blood oxygen levels to a smart watch capable of measuring electrocardiograms. Textile measures and predicts blood pressure.
Similar to predicting physical problems, companies are also focusing on developing devices capable of monitoring mental symptoms. Research published earlier this year suggests that metrics like sleep and heart rate can help categorize people at risk for depression and anxiety disorders.
Medical devices will be equipped with microprocessors capable of analyzing data directly from within, instead of having to send data through the cloud. This has two main benefits. First, it ensures user privacy, as personal data resides entirely inside the device without being exploited by a third party. Second, it ensures the speed factor, which is crucial for tools that detect and warn of dangerous conditions in real time (like a heart attack or stroke).
By 2023, patients will have more opportunities to access health services designed for each person. This reflects the concept of precision medicine, whereby drugs and treatment regimens are tailored for a single patient or group of patients, based on factors such as age, genetics or pathology. pre-existing.
The first form of personal health care
A patient’s genetics, or genome, helps doctors predict the effectiveness and side effects of drugs. Artificial intelligence and machine learning algorithms are sometimes used to support these predictions.
Personalizing healthcare means more options for patients in their treatment regimen. The doctor will take into account the patient’s circumstances, views, and beliefs when deciding where and how to treat the disease.