The world is getting smaller and smaller. We’ve been hearing this saying from our grandparents. We are not sure about the other aspects but regarding healthcare, yes, the world is getting smaller. A WHO report claims that the world will be short of 12.9 million health-care workers by 2035. Training healthcare professionals is demanding. The logistics and processes associated with this is a mountainous task that everyone in the healthcare profession agree with. It would take years to tackle the current demand.
Fortunately for us, artificial intelligence is taking over the technology world by storm. By integrating AI with healthcare apps, the above-mentioned problems can be addressed.
- Mobile technology is ubiquitous. It offers tailored solutions to critical healthcare problems. With many mhealth apps flooding the market, it’s easy for certain apps to get lost in the multitude. A mhealth app needs to check, diagnose, and in certain ways, aid in the treatment of health conditions.
- Here is where artificial intelligence comes into play. They help optimize clinical processes. Artificial intelligence helps check vital signs. Simultaneously, they suggest medication for common allergies. These aspects help doctors free up their time for critical cases.
- Chatbots are another way forward for mhealth. They help answer basic questions. They do this by asking about the symptoms that users have and provide information about their medical condition. Chatbots usually use natural language processors and machine learning algorithms to provide a rich user experience, which would be personalized over time. Additionally, they suggest when to see a doctor based on user symptoms.
- Artificial intelligence is taking over the mhealth domain, Ada is a clear example of this. Ada is an AI powered doctor app and a telemedicine service that is integrated with Amazon Alexa. Based on AI, Ada becomes smarter by familiarizing itself with the user’s medical history. Babylon Health is another health companion that assists users on their symptoms. It also sets up a live consultation, if the need arises, with a doctor.
- Artificial intelligence allows for precise and early diagnosis. As the saying goes, prevention is better than cure, intelligent mhealth apps do just this. Often, early diagnosis could result in complete cure.
- Algorithms can never get old. They excel in doing something that is repetitive. Researchers at Stanford University have developed an algorithm that can detect cancer. They did this by uploading 100,000+ images of rashes, moles and abrasions. This algorithm is already outdoing professional doctors. Researchers aim to provide this algorithm via an app in the near future.
- Other advancements in AI are trying to find a solution for blindness, diagnose sleep disorders, among others.
- Identifying the correct treatment for any disorder is crucial. It helps save resources to a great extent. If the correct treatment is not identified, the patient can have serious complications.
- Artificial intelligence helps in identifying the correct treatment. As mentioned above, algorithms don’t lose their edge over time. A part of IBM’s Watson has been tweaked to suit oncologists. The results have been phenomenal and Watson is being prepped for production.
- Platforms for healthcare are evolving rapidly, many universities are conducting research to ease the burden on doctors. Many algorithms and platforms have been tested and they have returned with perfect answers for 99 percent of the cases.
- This proves that hospitals need fewer doctors in the future.
With the advancement in technology, a serious question arises – will it affect jobs? Currently humans are irreplaceable when it comes to caring for another human. No algorithm is able to empathize with any of its cases. That’s for a human to do! It yet cannot function as a doctor or a nurse on its own, it can only be consulted.
The most that AI can do right now is the save a trip to the doctor. Who knows what the future has in store! What do you think about our blog post on artificial intelligence in healthcare? Please share your view and suggestions in the comments section below.