Artificial Intelligence (AI) is taking over the world with a boom in all domains. AI in patient care has shown great potential as it can help in managing appointments, providing diagnosis, and even performing surgeries. Here are 7 ways that AI enhances patient care.
1. Predictive Analysis
AI algorithms are trained to predict outcomes when they detect patterns in huge datasets. By analyzing many factors like patient history, genomic data, lifestyle choices, lab results, and environmental data, algorithms can predict the patients that are at a greater risk for complications or disease progression.
Patients can be warned, and the necessary medical intervention can be done to deter the effects of any such medical condition. This is not just limited to a personal level but also to a community level, where AI algorithms can detect trends in certain communities.
2. Improved Detection and Diagnosis of Diseases
AI-powered tools have become so advanced that they can now read X-rays and check blood tests and other reports in a matter of seconds. This means that doctors do not need to spend a lot of time analyzing them and can save plenty of time trying to diagnose the issue and can focus on treating the patient instead. In fact, AI tools can sometimes detect small occurrences of diseases that medical professionals do not even notice.
3. Remote Monitoring
Thanks to the creation of many IoT devices, wearables like watches and sensors can continuously collect patient data like their heart rate, temperature, blood pressure, etcetera. Real-time monitoring can be done of vital signs and other health indicators without having to go to the doctor.
Remote monitoring specifically comes in handy for chronic diseases, where patient data needs to be kept in check regularly or when the patient is old and disabled, and movement to and from the hospital becomes cumbersome. Since these statistics are logged onto apps accessible to patients and their doctors, this does not only benefit the patients, who can monitor their health but also the clinicians, who receive regular alerts and can provide the necessary medical intervention.
4. Drug Discovery
Drug discovery is an expensive and time-consuming process. AI-powered drug discovery helps by using early patterns to detect parts of the body the drug is going to act most efficiently. It also helps by narrowing down the best candidates for testing based on their medical history. It can also check for effects of drugs on the participants, allowing researchers to identify safety concerns and lessen the risk of reactions during trials. AI can also analyze the use of different drugs and disease pathways to identify if different drugs can be repurposed to treat some other diseases.
5. Precise Robotic Surgeries
AI-powered robots bring about the utmost control, precision, and flexibility when performing surgeries. For example, the many system uses robotic arms to perform surgery precisely. AI-driven healthcare solutions can also learn from old surgeries and suggest better ways to conduct them. They can also provide guidance to doctors in real-time.
6. Personalized Treatment Plans
Everyone is built differently, and one of the greatest outcomes of AI in medicine is the way it can create tailored treatment plans. AI algorithms take into consideration many factors, such as the patient’s history, lifestyle, daily food intake, genomic information, etc., and create treatment plans curated only for the patient.
Thanks to wearable devices and sensors, it is easy to know a lot of information like heart rate, water, food intake, etc., and using this information, the algorithms can continuously and dynamically update the plans and assign the patient medical intervention when required.
7. Virtual Health Assistants
Virtual Health Assistants (VHAs) and chatbots have grown increasingly popular because of the efficiency they have in hospitals and clinics. They are available 24/7 and help worried patients get answers about medicines or suggested treatment plans to take or other logistics like booking doctor’s appointments or pharmacies to purchase medicine from. VHAs can also send reminders to patients to take their prescribed medication and guide them on how to take it.
Conclusion
The revolution of patient care, thanks to AI, has only brought about improved efficiency and accuracy. Doctors no longer must worry about the nitty gritty and can instead focus on more complex and bigger issues and provide more holistic and better care for their patients.
