Healthcare has greatly advanced over the last few years. And one of the main reasons for that is the implementation of advanced technologies like Artificial Intelligence. Having a pretty strong presence on the market for years, AI has started its way in the healthcare sector only recently, and the demand was mainly caused by COVID.
AI has quickly become a valuable solution for many issues the healthcare sector has long been struggling with, including errors, staff overload, rising costs, and changing patients’ needs.
Studies suggest that:
- AI implementation allows for better patient outcomes, improves care delivery, and drives operational gains for the healthcare domain. (Sources: EIT Health and McKinsey)
- More than 69% of healthcare organizations are piloting or adopting AI solutions for administrative assistance to preliminary diagnosis (Source: Accenture)
From chatbots for non-stop customer service to surgeons’ training, there are many healthcare app ideas with AI technology that are changing the way modern healthcare works. Let’s explore its top uses and how AI affects different parts of modern medicine:
Preventative Healthcare
Healthcare now focuses on taking steps to prevent a disease before it has a chance to develop and cause long-term problems for patients. Preventative care is the main goal for many clinics today, and it is a procedure that defends against future health issues. Although preventative care has long been limited to procedures like routine physicals, vaccines, dental cleanings, and analyses, AI can greatly upgrade the process thanks to its accuracy and efficiency in preventative care.
Medical Imaging
Medical imaging is one of the most popular cases where AI improves the entire workflow. The ability of AI technology to accurately analyze medical images, such as X-rays, tomography (CT) scans, and magnetic resonance imaging (MRI), allows medical staff to get crucial insights regarding a patient’s health. AI algorithms improve the accuracy and speed of diagnosis, improving treatment and overall patient care.
Personalized Treatment
Personalization is a must-have for changing users’ needs. AI algorithms are able to analyze a patient’s medical history, genetic data as well as lifestyle habits to deliver preventive medicine and predict treatment outcomes twice as fast as before. AI technology also offers personalized care to patients, reducing their visits to emergency rooms and increasing satisfaction.
Patient Pre-screening
AI adds value in patient pre-screening before the patient arrives at the clinic for care. Pre-screening is now available in different forms, yet the most common are questionnaires or online symptom checkers. Alongside questions that may induce bias, these checkers tend to have a high percentage of accuracy.
Improved Drug Discovery
AI accelerates drug discovery by analyzing large databases and identifying new medication targets. This helps predict drug efficacy and potential side effects. This is hugely used in various healthcare organizations as a simple and fast way to design more effective clinical trials and bring new experimental treatments to market.
Effective Clinical Trials
Artificial Intelligence implemented into the discovery clinics helps design more effective trials by identifying patients that are more likely to benefit from a particular treatment. An experienced healthcare app development company can develop an AI solution that effectively analyzes patients’ data and biomarkers, allowing researchers to develop more targeted therapies that have high chances of ending up successfully in trials.
Contributes to Cancer Research and Treatment
Radiation therapy may lack a digital database to collect and organize EHRs, making the research and treatment of cancer difficult in some cases. AI can assist healthcare professionals in making data-based decisions about radiation therapy for cancer patients. AI-based platforms can gather relevant medical information, evaluate the quality of care, and optimize treatments.
Remote Patient Care
Just like with chatbots, AI-based virtual assistants are now able to monitor patients’ health remotely. This helps healthcare professionals to keep track of a patient’s health status even if they are located in a different country. This is especially crucial for patients with chronic diseases like diabetes.
Virtual assistants are used to track vitals, such as patients’ blood sugar levels, while the AI assistant can provide valuable recommendations on managing the condition based on medical data that healthcare organizations offer. This also reduced unnecessary ER visits, helped patients manage their conditions remotely, and eliminated the risk of complications.
Wrapping Up
AI adoption in the healthcare domain continues to thrive and overcome challenges the industry had to work with for years. AI helps to improve patient care, provides multiple benefits for medical staff, and helps reduce operational costs.