The healthcare industry has always been a tough nut to crack. With a large number of patients, each with their own set of symptoms, conditions, and complications, it’s no surprise that doctors and therapists are often unable to provide the best care they can.
AI has the potential to revolutionize the healthcare industry by providing therapists with an easy way to treat their patients and provide them with the best possible care. Most importantly, AI can help therapists deliver better care by identifying gaps in treatment plans and recommending changes that will lead to better outcomes for patients.
Till 2021, roughly 20% of healthcare organizations around the world had embraced AI in their healthcare infrastructure. This percentage is expected to grow as more entities come to understand how AI can help them better serve their patients and improve outcomes.
AI Helps Therapists Give Their Patients More Personalized Care
AI helps therapists give their patients more personalized care by providing them with the tools to better capture and understand their patient’s needs.
Therapists use AI to help them collect data about their patients and their progress so that they can understand how well their treatment plans are working. This information is especially helpful for therapists who work in group settings, where they might not have time to carefully monitor each patient’s progress on a day-to-day basis.
AI also helps therapists give their patients more personalized care by providing them with the tools they need to be able to see things from the perspective of other people. For example, if one of your friends has just been diagnosed with depression, AI can help you think about how you would respond if he or she came to you for advice about how best to manage it.
With the massive availability of physicians and therapists, patients also feel themselves at sea about how to find a therapist who has adopted the latest technologies so that they can receive superior healthcare. With the growing awareness about the benefits of AI, patients are more willing to choose therapists who have integrated AI over those who don’t.
AI Helps Cut Down the Treatment Costs
When it comes to therapy, there are a lot of factors that can affect the cost of treatment. One of the biggest ones is the therapist’s location. Therapists who live in cities tend to be more expensive than those who live in rural areas. Another factor is whether or not you have insurance coverage for your treatment. If you do, then your costs will be lower than if you don’t.
But what if we told you there was a way to cut down on these two costs? That’s where artificial intelligence comes in. With AI, therapists can set up their own practice online and reach patients across the world. This has several benefits:
- The cost of living in urban areas becomes cheaper because they don’t have to pay for rent or other overhead expenses associated with running an office space.
- Patients can find affordable therapists who live far away from them but still offer quality care through online therapy sessions at reasonable rates.
- Therapists just need an internet connection to start offering their services online.
Not just individual therapists or patients, AI can also help healthcare organizations reduce their total operating costs. As per Insider Intelligence, administrative tasks comprise 30% of the total healthcare costs.
With AI, healthcare organizations can automate various tasks like maintaining patients’ data, managing insurance bills, following up on unpaid bills, and maintaining records to streamline the workflow and eventually reduce operating costs.
Predictive Analysis of Patient Data
In the healthcare field, predictive analytics is a way to examine patterns in patient data and make predictions about the future. The purpose of this analysis is to identify people who are at risk of developing health problems or conditions so that they can be treated before they become symptomatic.
AI can help therapists predict whether their patients are likely to suffer from mental illness by analyzing the data they provide during therapy sessions. This allows therapists to identify warning signs early on before any harmful behavior has occurred.
For example, if a patient has been diagnosed with an eating disorder, an AI tool could analyze their previous treatment plans and past behaviors to predict whether they will continue to have issues with food or weight loss in the future. This could help therapists provide better care when they are working with these patients in therapy sessions or other treatment settings.
According to a study published in JAMA, researchers discovered risk factors linked with severe cases of COVID-19 with the help of predictive analytics and machine learning algorithms. Studies like this show the promising impact of predictive analysis on healthcare organizations.
Determine the Best Course of Action
When a therapist is treating a patient, they have to determine the best course of action for that patient. This could be anything from making sure that the patient eats enough to giving them prescribed medication.
The therapist will take into consideration what has worked in the past and what hasn’t worked with other patients. They may also consider other factors, such as their own personal experience with the patient and information from family members or friends who may have interacted with the patient.
AI can help therapists determine the best course of action because it can gather data about a large population of patients and identify patterns that indicate what works for certain types of people. This can be used to tailor treatment plans for individual patients based on their needs and what methods have been effective in helping them in the past.
AI can be a boon for both therapists and patients
In short, AI has the potential to revolutionize the way we approach mental health. It can help therapists better serve their patients and provide more accurate diagnoses, and it can also help patients feel less alone in their struggles.
We’re excited to see how AI will continue to improve mental health services in the future.