Hyperautomating Healthcare: How AI Plays a Huge Role in Healthcare

It’s not a surprise anymore to see Hyperautomation topics swirling around in the business world. I mean, who doesn’t want to read or hear about the use of technology to automate processes? We are already seeing its potential. Companies using it are already improving efficiency, reducing costs, and enhancing decision-making greatly. Plus, they advise others and speak highly about the whole integration process. And with that, by introducing artificial intelligence (AI), businesses can take hyperautomation to new heights.

As the old saying goes: The sky is the limit!

If you take a deep dive into what it means and why it is the next big thing, you will get the impression that the social impact of hyperautomation goes within various industries. This includes healthcare, education, carbon reduction, and energy optimization. Of course, there are others, but let’s agree these are the most common or popular ones for the time being.?

Once again, what is hyperautomation?

Hyperautomation uses a combination of tools and technologies, including AI, to automate organizational processes. It can include tasks such as data entry, report generation, and customer data analysis.

If you want to know more, check my previous post right here:

Hypeautomation or Hyperautomation?

…now, onto our main topic here:?

How can hyperautomation transform healthcare?

One industry where we are excited to see how hyperautomation has the potential to make a significant social impact is healthcare. By hyperautomating administrative processes, healthcare providers can free up time and resources to focus on patient care. In addition, using AI in areas such as diagnosis and treatment planning can improve patient outcomes and reduce the risk of errors. But this is just the start.

There are many examples of how AI and hyperautomation could transform healthcare. Still, I chose these that were most interesting for me:

Diagnosis and Treatment Planning: AI algorithms can analyze large amounts of medical data and train them to analyze medical images, such as X-rays or MRIs, and identify abnormalities or signs of diseases. It will help doctors make more accurate and timely diagnoses, leading to better patient outcomes. Just imagine the time saved and improved accuracy over time. It will lead to an increased number of patients served and lives saved!

Let’s take a look at the MRI. Magnetic Resonance Imaging is widely used, and we can already see AI taking its part in improving its accuracy and efficiency.

Image analysis: AI algorithms can be trained to analyze MRI images and identify abnormalities or signs of diseases. This can help radiologists make more accurate diagnoses and reduce the need for follow-up scans.

Image reconstruction: AI can be used to improve the quality of MRI images by reconstructing them from undersampled data. This can reduce the time it takes to acquire an MRI scan, making the procedure more efficient and less stressful for patients.

Motion correction: AI algorithms can be used to correct motion artifacts in MRI images, which can be caused by patient movement during the scan. This can improve the quality and accuracy of the images and reduce the need for repeat scans.

Automated protocols: AI can be used to optimize MRI protocols, such as selecting the optimal scan parameters for a particular patient or condition. This can help reduce the time and cost of MRI scans, as well as improve their accuracy.

Predictive analytics & Drug Development: ML algorithms can analyze large amounts of patient data to identify patterns and trends indicating a risk of certain conditions or complications. This helps healthcare providers proactively address potential issues and prevent them from becoming more serious. In addition, it uses that data and enriches it with more data points, such as clinical trial results, and uses it to identify potential new drugs and improve the efficiency of the drug development process.

Mckinsey & Company has an excellent overview of AI’s growing role in drug discovery:

AI in Biopharma Research: A Time to Focus and Scale

Administrative tasks: Hyperautomation can automate scheduling appointments, processing insurance claims, and managing medical records, freeing time and resources for healthcare providers to focus on patient care. For example, automating billing and claims processes can reduce the number of errors and speed up payment processing, leading to cost savings.

Increased accessibility (Telemedicine): AI-powered virtual assistants can help patients access healthcare services remotely through video consultations with doctors. Plus, AI can analyze individual patient data and create personalized treatment plans based on their unique characteristics and needs. This can help healthcare providers tailor treatment to each patient, increasing the chances of a successful outcome. In addition, this makes services more accessible to patients, especially in underserved areas.

Monitoring and care: Wearable devices equipped with sensors can continuously monitor patients' vital signs, such as heart rate and blood pressure. AI algorithms can analyze this data in real-time to detect potential issues and alert healthcare providers to react on time.

Robotic surgery: Yes, the future is here. Surgical robots equipped with AI can assist surgeons in performing complex procedures with greater precision and accuracy. These so-called robots can also be programmed to perform specific tasks, such as suturing or stapling, freeing the surgeon to focus on more critical aspects of the surgery.?

Using AI and hyperautomation in healthcare can do all of the above. However, it has its challenges and risks. Note that we are still in the early stages of hyperautomating healthcare, and there is still a need for knowledge and experience on how to do a proper QA of AI algorithms. This continues with the challenge of cyber threats and bias in the AI algorithms, as well as the traditional forms of IT risks like change management.?

If you want to know more about how Hyperautomation impacts healthcare or other industries, do not hesitate to contact me, share your thoughts in the comments section, and spread the word with the share button.?