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Common Applications of AI in Healthcare Industry

Many of the industries have faced disruption due to the influx of new technologies in the current era, including the healthcare industry. With the advent of automation, machine learning, and artificial intelligence (AI), doctors, medical practitioners, insurance companies and business verticals related to healthcare have been impacted. This emphasizes due diligence on part of a healthcare app testing company to introduce modern testing techniques to make robust and quality apps to render good healthcare facilities.

Most of the healthcare organizations have invested in AI technology to improve their services and it was expected that by 2020, these organizations would be spending an average of $54 million on AI-powered solutions. So, talking about these solutions, let’s see which are the most common applications that will be using AI in the near future:

Medical Records Management

The first step in healthcare is compiling and analyzing information (like medical records and other medical histories), data management is one of the most widely used apps powered by AI and automation. Automation robots collect, store, re-format and trace data to provide faster access.

Performing Repetitive Jobs

AI is used in robots to analyze tests, X-rays, CT scans, data entry, and other repetitive tasks can all be done faster and more accurately. The most overwhelming and time-consuming areas of medicine include cardiology and radiology that require analytical skills to analyze critical patient data. Cardiologists and radiologists will be equipped with more robust solutions in the future to improve healthcare facilities.

Treatment Design

AI-powered healthcare systems have been created that simplifies the process of analyzing data, notes, and reports from a patient’s file, external research, and clinical expertise. It helps in selecting the correct and most appropriate customized treatment plan. So, an app testing company needs to ensure that these apps and systems are working effectively and efficiently.

Digital Consultation

There are several apps that provide general medical consultation to patients based on personal medical history and common medical knowledge. Patients and users report their symptoms into the apps, which use speech recognition to compare against a database of symptoms and illnesses. These apps also offer a recommended action, taking into account the user’s medical history.

Virtual Nurses and Medical Assistance

There are certain apps where a digital nurse can help people monitor a patient’s condition and follow-up with treatments, and follow up doctor appointments. These programs use ML to support patients especially those with chronic illnesses.

Medication Management

The National Institutes of Health has created an AiCure app that is used to monitor the use of medication by a patient. AI and a smartphone’s camera is used to confirm that patients are taking their prescribed medicines and helps them in managing their condition. Common users could be people with chronic health conditions, patients who tend to go against doctor advice.

Wearables and Other Devices

Tech giants have introduced wearable health trackers including Apple, FitBit, etc. that monitor heart rate and activity levels. They have the capability to send alerts to the users to get some physical exercise and share this information with the respective medical attendant/doctor. Thus, the challenges for a healthcare app testing company increase and they need to be more competent. 

Ray Parker is an entrepreneur and internet marketer with over 15 years of experience in Search Engine Optimization, Creative Writing and Digital Marketing with Kualitatem. He has worked with several clients from all over the globe to offer his services in various domains with a proven track record of success.

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