How AI Will Affect The Mobile Health App Industry?

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Top 7 ways: Artificial Intelligence Will Affect Mobile Health App Industry in 2020

The healthcare industry is fast growing owing to the growing awareness among people with respect to their health, and the need for fitness methods that are convenient and accessible. The number of digital healthcare consumers is growing exponentially by the day. The mobile health app industry caters to 48% of healthcare consumers, which is definitely a good number.

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75% of U.S. healthcare consumers believe that digital technology is essential for consulting and remote monitoring perspectives. They are able to access healthcare better as a result of mobile app solutions.

Why AI based tech is a game-changer for health apps

Mobile apps have advanced since their inception. Earlier, mobile apps could only perform certain tasks like scheduling, maintaining records, etc. today, they are offering more personalized solutions including recommendations and plans that are suited to your care needs. Remote caring has become as good as in-person care, with the way new technologies have been adopted by mobile apps.

Among the many technologies that are making mobility solutions extremely easy, accessible, usable and convenient is Artificial Intelligence.

AI has the power to, not only improve the way mobile apps work but also increase the opportunities made available with this technology.

Here we will talk in detail about the seven ways in which technology can boost the health app industry.

#1 On-demand Healthcare Solutions

The biggest opportunity posed by healthcare mobile apps is in the form of on-demand solutions. You would have noticed that people generally check online to see recommendations for a particular type of doctor. There are constantly researching on a good doctor. The second kind of research most often seen would be the medical facilities available in the city, timings and how to get the time slot.

In many cases, the doctors run clinics where you have to wait for long hours, which can make the patient run out of patience. That’s why the mobile healthcare solution in the form of an on-demand marketplace is essential. It will help the patients check out the doctors for the particular niche, seek their ratings and reviews, and even book the slots according to their convenience. This will reduce patient wait time, and improve the convenience offered by the healthcare industry.

#2 Personalized Treatments

What is the major difference between remote treatment and in-person treatment? Simple, the lack of personalization. In the case of remote treatment, the mobile apps or other fitness solutions suggest a treatment that fits the “one size fits all” category.

However, healthcare apps are evolving, and with Artificial Intelligence they are all set to meet the in-person care style. By inducing the AI technology, the right way into the mobile app, users can get access to treatment that has been recommended for their issue.

For instance, there will be a bunch of data that you need to provide to the system. Based on the analysis of this data, the system will automatically give out the predictive personalized healthcare solution. this kind of transformation and convenience offered by mobile apps will increase the usage and improve the health conditions of the user.

#3 Automate the Admin Tasks

Keeping the hospital rooms clean, ensuring that the bins are cleared up, and all other repetitive admin tasks take up a lot of their time. in fact, managing these tasks, and ensuring that it is done on time can be quite a tedious job.

However, an IoT-AI combination will ensure that the admin tasks that are repetitive and monotonous are carried out automatically.

The sensors will establish the need for a particular task to be done while, AI will ensure that it learns from past habits and work processes, and establish a proper rule and process in place. Accordingly, the admin will be reminded of the tasks done and the tasks that are still to be done. In fact, in some cases, the machines will assign the work as well, and ensure the timetable and processes are followed. The machine will generate reminders and make sure the admin gets the work done.

#4 Maintaining the Health Records

One of the most concerned areas of healthcare would be the management and maintenance of healthcare records. It has become essential for you to ensure that all the different diagnoses and doctor visits are recorded along with the prescriptions and it is saved in one place.

Apart from managing, it has also become important for the healthcare industry to make sense of the records made available. For instance, there are structured and unstructured data made available to healthcare officials. Structuring out the noise becomes a work.

With AI techniques such as image processing, NLP and character recognition, you can easily convert all the data formats into a single format, and keep the format appropriate and accessible.

#5 Predictive Healthcare Opportunities

It is not easy for the user to keep up with the different healthcare diagnoses, and in certain conditions, it is not easy to diagnose the particular condition. With AI in mobile healthcare apps, you will just need to add the relevant data, and your condition will be diagnosed, and you can access treatment at the early stages.

In some cases, you will observe that a particular disease is spreading in the country or city. you will be able to access the early diagnosis for the same, which will increase your chances of getting better treatment.

For instance, with AI, you would know if you have swine flu, and you can access the treatment personalized for you. this diagnosis can be done at home using the mobile app, thus ensuring both speed and convenience.

#6 New Drug Discoveries with Big Data

When AI is combined with Big Data, you get access to analysis, insights and learning from the past. Combine all three, and you might be able to offer better and intuitive solutions.

The mobile app solutions that use AI for R&D can help with discovering new drugs. AI will analyze the data received for a particular condition. Let’s say there is enough talk about cancer, and people have given enough data regarding the solutions they took, the kind of care they went, and how they fought cancer. AI will use this data and analyze it to understand the patterns involved in the cure. Accordingly, it will help the R&D with relevant procedures and techniques, which will lead them to cancer drug discovery.

This is not the only solution you will get with artificial intelligence. In fact, there is a path for new drug discoveries that can be attempted by AI in mobile apps.

#7 Empowered Patients

When AI is combining wearable technology and mobile apps, it gains more outcomes and improves the well-being of the person. For instance, the wearable technology can measure the blood pressure of the person. AI will apply its past learning to the received data, and understand whether or not the person is suffering from stress.

With such apps, people can know whether they are suffering from some issues or not. The patient-level information is shared by wearable technology, and the analysis is applied by AI. This helps to diagnose chronic conditions faster.

Summing Up the impact of AI on the health app industry

Artificial Intelligence is the answer to several issues and red flags raised by the healthcare industry. It will help you understand, analyze and even make sense out of the data made available. Eventually, technology will help build better app solutions and create more opportunities for mobile health solutions.

Combining Artificial Intelligence with other value add technologies such as IoT, Blockchain, AR and Big Data will help deliver better and competent solutions for the end-users.


About the Author:

Pradeep Makhija is a Digital Marketing Executive at Space-O Technologies, a mobile app development company. He likes to share his knowledge and experience with people around by writing articles related to the mobile app and the healthcare industry. In his spare time, Pradeep likes to explore and read more about the trends and needs of mobile apps in different sectors.

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