Last updated on February 16, 2023
Doctors can now diagnose a stroke 60 minutes faster with the AI-powered Brainomix e-Stroke system. Such a diagnosis can mean the difference between full recovery from a stroke or disability.
Postdoctoral researchers trained a da Vinci surgical robot to perform suturing tasks faster than an experienced surgical resident. Accuracy here was a staggering 99.4%.
In 2016, IBM’s Watson helped identify a rare form of cancer in a woman by comparing her genetic information to 20 million cancer research papers in 10 minutes.
These are all feats that are largely beyond human potential, even if AI is a product of human intelligence. Irony.
AI will drive the next decade of medical innovation through data analytics and real-time insights that save millions of lives every day. Here we discuss how AI will change the face of healthcare in the coming years.
1. Predictive medicine driven by real-time analytics
Predictive analytics plays an important role in the healthcare industry as it can analyze vast amounts of historical and real-time data to generate valuable predictions, recommendations and predictions. With the ability to evaluate tens of thousands of data points, predictive analytics can accurately predict various outcomes, such as an individual’s risk of developing diseases or the likelihood of returning to the hospital with an infection.
The use of predictive analytics enables healthcare professionals to take a proactive approach to their treatment plans, potentially avoiding the need for costly and time-consuming medical procedures. Overall, predictive analytics can revolutionize the healthcare industry by improving patient outcomes and promoting a more efficient healthcare system.
For example, Duke University’s Sepsis Watch app compares patient data to millions of lab results, medication administration and vital sign measurements. Sepsis is an intense reaction to an infection that is often difficult to accurately diagnose.
2. Accelerated drug discovery
AI technology has the potential to speed up and streamline the drug discovery process, making it more efficient and cost-effective. Now what is drug discovery? It is the process of discovering the therapeutic elements of certain elements and compounds in the pharmaceutical industry. This identification will help purify the elements/compounds into refined medicines that can be made to treat specific diseases or ailments.
By analyzing large amounts of information and data from tissue or blood samples, AI can help researchers identify new compounds that are likely to target specific proteins associated with a particular disease. In fact, during the COVID-19 pandemic, AI was successfully used to identify potential drugs that could effectively treat the virus.
For example, Google’s Deepmind AI system AlphaFold recently made a breakthrough by determining how proteins fold into their 3D structure. This achievement could potentially open up new opportunities in structure-based drug design, offering new ways to develop effective treatments for various diseases.
Today, more than ever, hospitals and healthcare organizations prioritize patient satisfaction. Furthermore, with the help of machine learning and AI, patient data can provide valuable insights to improve the patient journey. By using machine learning systems, hospitals have the opportunity to improve overall health outcomes, as researchers have found that patient satisfaction is closely related to greater compliance and adherence to treatment. What does this mean? Patients can be regularly reminded about medication schedules, and medical staff can refer recurring queries to AI-powered chatbots.
3. Enhanced patient and employee experience
In addition, AI can facilitate more personalized and convenient healthcare experiences. For example, chatbots have been used by healthcare organizations to increase patient satisfaction. Adoption of AI in healthcare is growing among patients, as a 2019 Pegasystems survey of 2,000 healthcare consumers found that nearly half (42%) of respondents felt comfortable with doctors using AI to make healthcare decisions.
AI can also play an invaluable role for healthcare professionals by automating manual tasks, reducing burnout and freeing up time. AI can eliminate or minimize the time spent on routine administrative tasks, which can account for up to 70% of a healthcare worker’s workload.
For example, FCB Health New York needed to address advanced clinician and patient queries at scale. The solution was Kommunicate’s custom AI-based chatbot built with the Kompose bot building platform. This has helped FCB Health get the right information at the right time to the people who need it most.
4. Promote health and preventive health measures
Artificial intelligence has the potential to prevent people from needing medical attention, or at least reduce the frequency of such visits, making it one of the most important benefits of AI in healthcare. The incorporation of AI and the Internet of Medical Things (IoMT) into consumer health applications is already providing valuable assistance to individuals.
Technology applications and apps motivate people to adopt healthier behaviors by promoting active management of healthy lifestyles. By empowering consumers to take control of their health and well-being, these tools help them stay on track to achieve their health goals.
In addition, AI improves healthcare professionals’ understanding of their patients’ daily patterns and needs. Furthermore, it allows them to provide better feedback, guidance and support to maintain good health. This improved understanding may ultimately lead to more effective healthcare interventions and better patient outcomes.
For example, people are already using wearable fitness technology such as fitness bands or medical grade fitness tools. These may include blood oxygen readings and more. You can monitor data from these devices to prevent illness, disease, or disorder through preventive medicine.
5. Schedule personalized appointments
AI’s ability to regularly interact with customers and track their data is a huge advantage. This enables businesses to better understand their customer’s preferences and avoid redundancy in conversations. For example, when a typical customer contacts a hospital to book an appointment, AI can immediately access their information. It will then suggest experts based on their previous bookings and quickly schedule appointments with their preferred doctors.
By consulting the booking calendar, the AI appointment scheduler can also allocate physician time slots. Additionally, conversational AI appointment booking is always available and available 24/7. Customers no longer need to stick to specific time frames, wait in lines, or be on hold to book or make reservations. This flexibility makes it easier for businesses to reach a larger audience.
Furthermore, thanks to recent technological advancements, AI booking systems can now interact in multiple languages. This allows businesses to communicate with customers in their preferred language. This makes it easier to understand their problems and requirements and provide them with the access they are looking for.
“Communicate” compounding to transform the patient experience
With Kompose, our proprietary bot building platform, you can ride the AI wave and supercharge your healthcare services. Create highly customized bots to meet the specific needs of your healthcare organization to better serve your patients. Custom intents will help you customize the queries your bot should answer and train your bot to reflect your healthcare brand. Our dedicated healthcare bots will ensure you are relevant in the rapidly evolving healthcare market.
The final word
Artificial intelligence in healthcare is a trend that will continue to expand the human potential to heal and improve the quality of life, not prolong it. The ultimate goal of AI-driven healthcare is to harness real-time, large-scale data for actionable insights to save and improve lives. Whether it’s predictive analytics for preventative medicine or AI chatbots for a personalized patient experience, AI is bound to make waves.
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