When it comes to patient care, what happens outside the doctor’s office matters just as much as what happens inside it. From following post-op care instructions to navigating chronic conditions, patients are expected to take an active role in their health, but they’re not always equipped or motivated to do so.
That’s a problem. Patient engagement is a key driver of better outcomes and lower costs. But for many healthcare organizations, creating consistent meaningful connections with patients is a major challenge. Despite best intentions, healthcare interactions often feel rushed, impersonal or confusing.
But the latest advancements in artificial intelligence are helping healthcare providers rethink the way they engage with patients. AI can be used to personalize how we communicate with patients, making each interaction more timely, relevant and effective. And one of the most effective ways to deliver that content? Video.
Your patients already interact with video regularly, making it a familiar and powerful engagement tool that can fit seamlessly into your workflow. In this blog, we’ll explore how AI-powered video can help you strengthen patient engagement, improve outcomes and bring a more human touch to digital care.
The Engagement Gap in Healthcare Today
The healthcare system is full of well-meaning outreach in the form of emails, portals and paper instructions. Too often, though, these fall short of actually engaging patients. And when patients aren’t paying attention to next steps, they’re less likely to follow through, which ultimately impacts health outcomes.
In fact, research has found that “misunderstanding, forgetting or ignoring care recommendations can put more than 40% of patients at significant risk.” As a result, patients with the lowest levels of engagement tend to have the most expensive costs.
The good news is the reverse is also true. Engaged patients are more likely to take an active role in decision-making and behave in ways that “correlate with better outcomes and lower long-term costs.” For instance, several studies have shown that highly engaged patients have a better control on their cholesterol and triglyceride levels, are less likely be obese and have fewer emergency visits and hospitalizations.
If we want better patient outcomes, we need better ways to communicate and engage with them — ways that are clear, relevant and built for how people actually absorb information today. And this is exactly where AI can make an impact.
How AI Is Enhancing the Patient Experience
AI technology is already reshaping how healthcare organizations approach the patient experience. Across hospitals, clinics and digital health platforms, AI tools are helping providers interact with patients more effectively and efficiently.
Take virtual assistants and chatbots, for example. These AI-powered tools can provide 24/7 support, allowing patients to get answers to simple inquiries while letting clinicians focus on more complex care needs. In the case of more complicated questions, AI tools can easily direct the patient to the right channel and form of care.
Meanwhile, behind the scenes, AI models are being used for early detection of diseases like cancer and diabetes by quickly analyzing patient records and identifying patterns associated with the onset of such diseases.
AI is also helping turn patient feedback into actionable insights. Through natural language processing and sentiment analysis, it can process large volumes of unstructured patient data, clinical notes and patient feedback and generate summaries and insights that help providers refine services and improve patient satisfaction.
On the administrative side, whether it’s scheduling appointments, managing billing or handling other tasks, AI automation can streamline basic processes, freeing up doctors and nurses to focus more on patient care.
Finally, with demand growing for hyper-personalized treatment plans and care experiences, AI is proving especially valuable in supporting proactive outreach.
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From personalized explainers to relevant reminders, messages that are automatically tailored to each patient based on their needs, preferences and medical history encourage greater engagement. It’s no wonder the global AI in patient engagement market hit $6 billion in 2023 and is expected to boom, with a projected growth rate of 21.2% through 2030.
As AI continues to develop, the next step is about combining that data-driven power with something more human and engaging — like video. Because when you pair the right message with the right medium, you create engagement that actually sticks.
Why Video? The Science Behind Better Understanding
When it comes to patient education, how we deliver information matters just as much as what we’re saying. Video taps into how we naturally learn, combining visuals, audio and text to make information easier to process and more memorable. That’s essential when you’re explaining something as complex and critical as a new diagnosis or post-op care.
Research backs this up. A systematic review of 28 studies confirmed that visual-based interventions, particularly those using videos, are effective at improving health literacy and helping patients better understand medical information. For patients managing their health outside the clinic, that sense of clarity can mean the difference between following through or feeling confused and checked out.
We all remember the uncertainty at the start of the COVID-19 pandemic — not just around the virus itself, but about what to do next, especially for those with existing health conditions. It was a moment where clear, accessible communication really mattered.
This simple, well-designed explainer video helped cut through the noise, giving people a clearer understanding of their risk and step-by-step guidance they could actually follow.
Video is great at making abstract or complicated topics feel approachable and actionable. But until recently, video (especially Personalized Video) wasn’t super accessible for healthcare providers. It was expensive, time-consuming to produce and difficult to scale across patient populations with different needs.
This is where AI has made a huge difference. For instance, Lucas, our AI video creator, is trained on your content — including your voice, content and visual style — so every video feels on-brand from the start. You can upload a document, link a webpage or write a quick prompt, then let Lucas instantly generate a polished, fully editable video using your assets and rules. In short, you can have a high-quality video ready to share in minutes — no tech skills needed.
This kind of next gen video content doesn’t just save time and money. It also helps engage a broader audience. Nearly 9 in 10 people from minority racial and ethnic groups say they want more video from brands. And while white consumers are just over 2x more likely to prefer a video over reading a document, minority consumers are over 2.5x more likely to choose the AI-generated video.
In other words, AI-driven video isn’t just efficient. It’s inclusive, impactful and built for the way people actually want to engage with their health today.
Putting AI Video Into Practice
So how else can AI video be used to improve patient engagement?
One great use case is a healthcare explainer like the Next Gen Video below. It features the data a patient needs to know following your pre-approved brand styles and leveraging your brand assets. It’s scalable so you can create videos in real time in multiple formats, for different audiences and more. And you can even add personalization to add a human touch.
This approach can be used for everything from follow-up messages to wellness check-ins. For instance, patients could receive a dynamic video reminder for their upcoming appointment that recaps their last visit or a well-timed check-in that links directly to scheduling tools.
Caregivers can benefit, too. With complex conditions or post-op care, AI-generated videos can be sent with detailed instructions on what to do next. That way, everyone is on the same page, reducing readmissions and improving overall patient satisfaction.
Protecting Patient Data
As exciting as AI-powered video and personalization is, it’s critical to talk about data privacy.
In a healthcare setting, safeguarding patient data isn’t optional. Any solution that has access to personal health information must adhere to strict regulatory standards, including HIPAA in the U.S. and similar frameworks globally. That means all patient data, from electronic health records to appointment history, needs to be handled with the highest level of protection.
At Idomoo, data security is built into everything we do. We’re ISO 27799 certified, meaning we follow established guidelines for maintaining the privacy, confidentiality, integrity and availability of personal health information. We’re also fully HIPAA compliant, giving healthcare stakeholders peace of mind that patient information is protected at every step.
Smarter Communication, Better Care
Ultimately, the end goal of engaging patients is to build real-time, meaningful connections that improve outcomes. AI-driven video empowers providers to do exactly that.
By combining real-time data with video, healthcare providers can deliver messages that are personal, easy to understand and truly helpful.
With Idomoo’s Next Generation Video Platform, it’s easy to reach patients at scale while staying fully secure and compliant. We even offer seamless integration with Epic, the electronic health record (EHR) system used by 89% of acute care hospitals in the U.S., so providers can easily pull in patient data to deliver messages that are truly relevant.
Want to see how personalized AI video can work for your patients? Let’s talk.
