Digitalization, innovation and data culture 3 key factors in Healthcare

Photo by Unsplash

The world of healthcare has experienced a drastic shift in the last few years in the way in which it functions. Digitalization, innovation, and data culture are the 3 crucial factors that have transformed healthcare. Technology such as AI has played an integral part in all of these factors. Let’s take a closer look at each of the 3 crucial factors and their importance in transforming the world of healthcare.

Digital transformation in healthcare enhanced by the use of AI

The most evident change in healthcare when it comes to digitalization is electronic health records or EHR for short. AI has also helped clinicians automatize many administrative tasks. Aside from that, healthcare has also introduced new methods of communicating with patients such as telemedicine. AI plays a key role in this process. Through telemedicine, AI has helped clinics establish constant communication with patients and if a patient is living in a remote area for example, he can now easily make an appointment that does not require an in-person visit. This is also very beneficial for patients with chronic diseases.

In addition to the ease of communication, AI which has a natural language processing engine enhanced by machine learning is capable of facilitating real-time translation for patients speaking a different language. These virtual assistants transform the world of healthcare by creating proactive solutions for scheduling processes, online communication, and much more. Booking an appointment is no longer a tedious task that requires numerous phone calls to a call center for example. Instead, patients can use their mobile devices to quickly schedule, reschedule, confirm, or check their appointment status. Patients can get in touch with their clinics at any time and get the information they need for their healthcare journey.

Another example of digital transformation in healthcare is through wearable devices used for monitoring patient’s health conditions. AI can enhance these mobile apps by making them more personalized to monitor the needs of each patient differently, according to what that patient requires. These devices can monitor chronic conditions in real-time and transfer that data instantly to the clinics. AI-powered wearable health devices can alert patients and providers to potential issues before they become critical.

Transformation in healthcare through technological innovation in AI

Innovation in healthcare, much like in any other industry, plays an integral part in the advancement of technology. AI has once again proved to be prominent in recent years when it comes to innovation. Various AI algorithms allow medical staff to analyze medical images, lab results, and other diagnostic data with high accuracy. AI that uses predictive algorithms also enables clinicians to make faster and more accurate decisions.

Through predictive analytics, AI can help predict patient outcomes but also identify potential conditions within patients who have not yet been diagnosed. AI can also use predictive analytics to help with the scheduling process by analyzing and monitoring potential no-shows. With predictive analytics, AI can facilitate preventive campaigns that better inform the targeted patients of potential risks and what steps these patients need to take to avoid certain conditions. To help clinics better manage their resources, AI can be employed to use its predictive analytics and determine how to best manage resource allocation.

Data-driven enhancements in healthcare through AI

AI which has both natural language processing and machine learning capabilities has an ability to process enormous amounts of data quickly and efficiently. The data that AI can process can include both data regarding the patients but also data that helps with strategic planning in healthcare organizations.

Patient and clinic data security can be better protected by AI. Furthermore, data privacy can be anonymized by AI and used for research purposes. AI also facilitates constant improvement by analyzing the data regarding patient feedback and looking into areas that require the most improvement.

Data culture is evolving constantly in the world of healthcare and considering the fact that in healthcare many critical decisions revolve around timely and accurate analysis of data, it is quite clear how AI can improve the workflow of clinics and allow clinicians to make better decisions.

The 3 key factors in healthcare, Digitalization, innovation, and data culture in summary

AI in healthcare, specifically natural language processing AI with machine learning capabilities, has allowed for an immense breakthrough in digitalization and innovation. This kind of AI facilitates all 3 key factors in healthcare, and through proper integration brings many benefits that enable more proactive and personalized care in health. Of course, to get the desired results, following the key recommendations for the correct implementation of AI in healthcare is necessary. To sum up, improved operational efficiency and more accurate and personalized care as well as improvement of all 3 key factors in healhcare can be achieved with the integration of AI into the healthcare systems.