Enhancing Provider Experience Using AI

Author: Deanna Welliver

Most patients today can choose where they seek medical care. Because of this, many healthcare organizations are understandably focused on patient experience. However, provider experience is also an essential metric everyone should be monitoring. Not only does provider experience provide information about satisfaction, retention, and providing quality patient care, it also has a direct impact on patient satisfaction.  

Tackling all metrics that can improve quality of experience and exceed expectations is key to standing out from the competition. And one way to do so is by integrating AI into your provider experience.

The Provider Experience Problem

Now more than ever, providers are being asked to understand a patient’s entire medical history and see more patients in less time, which directly affects their ability to prepare for a patient encounter, efficiently chart that encounter, and communicate detailed treatment plans. Burnout is on the rise for these essential workers who are so valuable to our healthcare ecosystem.  

Yet, at the same time, you know that your providers play a critical role in overall satisfaction measures, and those are essential to driving that quality of care and new patient growth. 

According to The Beryl Institute – Ipsos PX Pulse, “three-quarters (76%) of Americans surveyed said they have not had a positive patient experience in the past three months and 60% have had an outright negative healthcare experience.” (Forbes, 2022) 

So, as a health administrator, how do you streamline processes without creating additional work or pressure on your providers and ultimately ensure that patients leave the clinic happy with their care?

How AI Can help

What if you could leverage AI to support the issues preventing your providers from being performant and making them tick? Three areas where AI can be helpful in solving this problem are:  

1. Chart review support 

AI can be leveraged to support chart review by extracting relevant information from a patient’s medical record and compiling it in a meaningful template for a provider to review. By automating this process, a provider can quickly summarize patient diagnoses and medical history that can easily get lost with pages of medical records.  

This reduces the time spent on research and documentation, resulting in a more streamlined chart review process, optimizing time spent with their patient. 

2. High Risk Identifiers  

Another tool that can streamline provider experience is predictive analytics. By analyzing patient data, AI can be used to help identify patients who may be considered high risk for complications to medication or readmission because of complex or compounding diagnoses. Predictive analytics can allow a provider to proactively intervene and better manage care plans, resulting in better bedside care.  

3. Patient communication tools  

AI-powered chatbots can be useful to handle routine patient inquiries, schedule appointments, and provide basic health information. Both providers and patients want to access information that is easy and concise. Finding areas where AI-powered chatbots can free up provider and staff time streamlines everyone’s schedules, so providers can be more present direct patient care. 

Improving Your Provider Experience  

These are not the only ways AI can be a useful tool for increasing the provider experience and streamline their day-to-day pain points, however, they are easy places for healthcare organizations to find efficiencies. With patient satisfaction the king of metrics, these all directly contribute to the goal of ensuring that the time a patient has with a provider is used effectively, ultimately resulting in positive patient experiences.  

Interested in how AI could be used in your organization? Whether it’s improving provider experience or more broadly making customer and employee experiences more efficient and satisfying, RevGen can help. Not sure where to start? Our AI Accelerator Workshop helps you review different opportunities for AI within your organization and calculate some preliminary ROI. 

Contact us today to speak to one of our experts.

Deanna Welliver is a Manager at RevGen, with a background in product ownership. She is committed to helping organizations develop impactful products that align with their vision and strategy, while also fulfilling business objectives and addressing customer needs.