How AI Is Becoming Integral For Healthcare Businesses

Tuesday, 30 September 2025, 10:37 am
Article: Hugh Grant

In 2025, it seems like everyone has had some exposure to artificial intelligence (AI). For some individuals, AI is used on a daily basis to help take the load off themselves and make their day easier. However, AI has seen massive amounts of success and widespread adoption in commercial usages. In the healthcare industry, for example, as much as 66% of physicians have used AI. Despite this, only 1% of all enterprise software in the healthcare industry actually utilize agentic AI. So, what is stopping AI from meeting the expectation of healthcare staff?

Traditionally, AI has been used as a chatbot to handle the first point of contact with a customer. However, this not only is a misapplication of this technology, but it is the opposite of what healthcare staff wants from it. According to healthcare staff surveyed, over 80% want AI to take care of administrative work and free them up to do other aspects of their job more efficiently. Furthermore, 79% of staff surveyed believe AI should provide access to reliable data and 77% think it should be easy to use. So, how can the current state of AI compare with the expectation of healthcare workers?

At present, the new iterations of AI are able to make an impact on the back-end for almost every client. During patient intake, a large majority of patients need to have their insurance information captured and entered into a patient management system. However, with AI, you can get this done in seconds. By providing an image of an ID card, referral order, or even requisition form, AI will automatically extract this data and save it to the patient’s profile. From there, AI is also able to take the patient’s insurance information and verify it in the insurance company’s portal to verify their benefits in real-time. It can even estimate the out-of-pocket expense for the customer’s visit, all without the input of healthcare staff.

However, it can even take a more active approach besides document processing and insurance capture. If the AI determines that a prior authorization is going to be needed for certain procedures, it can send out a prior authorization request to the insurance company in seconds. Similarly, it can analyze prescription refill requests and process them in the system for healthcare staff. It can analyze and process inbound referral requests on the behalf of a healthcare worker. On average, this shrinks the average referral processing time from around one business day to under a minute.

So, with these benefits, why exactly is AI adoption not widespread? Although healthcare applications with this type of AI are going to see growth of 33% in the next 4 years, not every AI is suitable for this job. For example, most of the popular AI’s that individuals use are ‘public-facing’ AI. This means they can access any publicly available information source of data. While this makes them useful for a plethora of information, this makes it difficult to specialize to your company’s niche. Moreover, because they can only access public information, they cannot fully access your company’s patient data.

Fortunately, companies like Orbit Healthcare designed AI with health systems and provider groups in mind. By engineering them for healthcare businesses, over 50 hours a week are saved from AI automation and estimated cost savings range from 40% to 70%. Because it was built for the healthcare industry, it is also HIPAA compliant with storing patient data. Most importantly, AI enables your healthcare staff to interact with patients more, meaning better patient experiences and faster diagnoses. Regardless of what industry your business specializes in, an AI agent in healthcare is the best way to help your staff spend more time helping patients.

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