top of page
Search

Beyond AI: Why Human Experience Still Matters in Healthcare Content

  • Writer: Kate Breen
    Kate Breen
  • Sep 8, 2025
  • 5 min read

The likes of ChatGPT, Gemini, and Perplexity are amazing, right? You can churn out blogs, social media posts, and patient-facing materials at lightning speed. You've verified the sources and statistics, even running them through a compliance GPT, ticked the SEO boxes.


Perfect.


So why aren't patients engaging? Why do your metrics show high bounce rates and low time-on-page? Why does it feel patients are pulling away?


The answer lies in AI and its key downfall: it can't replicate the experience of life as a patient.


The AI Content Problem in Healthcare


AI excels at many things like following a detailed content outline or processing clinical data. It helps me on the daily with content outlines, rough drafts, ideation, you name it. But healthcare marketing faces an added challenge that general marketing doesn't: we're speaking to people during some of the most frightening, confusing, and isolating experiences of their lives.


It's more than just convincing someone to buy X brand's sunglasses over Y brand's.


For instance, when someone searches for "chronic fatigue syndrome treatment options," their primary focus isn't looking for clinical efficacy data. They're looking for hope. They want to find someone who can actually understands CFS. They need content that acknowledges their fear that they might never feel normal again.


Even with the best prompts, AI tends to fall back on delivering the facts: "CFS/ME affects roughly 1.35 million people in the UK. Symptoms include persistent fatigue lasting more than six months..." But it misses the crucial emotional context that actually drives healthcare decisions.


What Patients Actually Want to Read


After living with two rare diseases, working in healthcare copywriting, and battling misinformation and doctor dismissals, I've learned that patients seek three things in healthcare content that AI consistently misses:


True validation


Yes, AI can soothe but it doesn't understand. It doesn't understand the mental sludge of brain fog, the internal battle of 'powering through' and resting, the guilt of cancelling yet more plans.


A woman in holding her head in her hand as she looks down with a sombre expression

Patients want to see their struggles reflected accurately. Not the sanitised version that appears in clinical trials, but the messy reality of managing symptoms while trying to maintain relationships, careers, and hope beyond diagnosis.


Practical wisdom beyond clinical protocols


While treatment guidelines are important, patients crave insights about finding specialists who will genuinely listen, managing the emotional toll of chronic illness, and finding resources/support to truly feel take care of.


Authentic hope grounded in reality


This one can be the trickiest to balance. For many patients, they've become hardened to the promises of reduced or vanishing symptoms and the 'ultimate cure'. They've often tried anything with a whiff of hope and can smell a hard sell a mile off.


They want hope that acknowledges their challenges while pointing toward genuine possibilities for improvement. Unfortunately, and understandably, AI content leans toward clinical hope ("Studies show 60% improvement in symptoms") but rarely provides the nuanced, realistic hope.


Real Examples: AI vs. Human-Crafted Content


The most effective healthcare content emerges at the intersection of professional writing skills and genuine healthcare experience. Now, I'm not saying that every healthcare writer needs to be a patient; but it does mean understanding the difference between writing about healthcare and writing from within the patient experience.


As an example, let's take an initial upcoming respiratory appointment. See how each version, unedited-AI vs human-led, can differ:


Unedited AI-generated version


Respiratory consultations involve comprehensive medical history review and physical examination. Patients should prepare by gathering relevant medical records, creating symptom timelines, and preparing questions for their healthcare provider. The appointment typically lasts 60-90 minutes and may include laboratory tests or imaging studies.


Human experience version


Your first respiratory appointment will probably feel overwhelming – and that's completely normal. You've likely waited months for this. To help make the most of your appointment, consider:


  • Writing down your symptoms, starting with the most severe. Make sure to include every symptom, no matter how small; it can be surprising what can be linked.

  • Writing down every question you can think of beforehand. Don't be afraid of sounding silly; your doctor is there to help and only wants the best for you.

  • Bringing a loved one with you for support. It's all too easy to go blank or get blindsided by medical jargon so a second set of ears can go a long way.

  • Wearing loose, comfy clothes. Your doctor might want to listen to your chest with a stethoscope for breath sounds.


As you can see, the second version speaks to the worries and concerns of the patient without hitting them with clinical jargon. It acknowledges the fear of the unknown, provides helpful preparation advice, and prepares patients for potentially uncomfortable moments they might not expect.


Making the Business Case for Human-Guided AI


Marketing managers often face budget pressures that make pure AI content seem like the obvious choice. And it's a good one but where many fail is putting their all into what AI generates without any human intervention. So, how can you frame the ROI of human-guided AI in healthcare content to your higher ups?


  • Efficiency Without Sacrifice: Using AI as a tool rather than replacement gives you the speed benefits of AI while maintaining the trust and engagement that only human experience can provide. You get faster turnaround without losing authenticity.

  • Better Performance Metrics: Current data shows AI-assisted content actually achieves higher engagement rates than non-AI posts. The key here is the assistive part: using AI as a tool to increase volume and consistency while maintaining the human insight that healthcare content specifically requires.

  • Competitive Differentiation: While your competitors are publishing generic AI-generated content, human-guided AI creates content that actually resonates with patient communities. This leads to higher email subscription rates, more meaningful social media engagement, and stronger community building.

  • Regulatory Compliance: AI can help you hit all the required clinical points, but human oversight means you meet compliance requirements while maintaining empathy – a balance that pure AI content often struggles with.

  • Scalable Authenticity: This approach allows you to maintain authentic voice across larger content volumes, something that's impossible with pure human writing and impossible to achieve authentically with pure AI.


The key is measuring beyond traditional metrics to include community engagement, patient feedback quality, and long-term relationship building.


Wrap Up


AI has transformed content creation, and it's not going anywhere, no matter what some might say. But in healthcare marketing, where trust is everything and vulnerability is constant, human experience remains irreplaceable.


The most successful healthcare content strategies combine AI efficiency with human insight. They use AI for research, first drafts, and data analysis. But rely on human writers – particularly those with healthcare experience – for the nuanced understanding that turns clinical information into genuine connection.


Your patients are more than their diagnoses, and your content should be too. In a world of algorithmic efficiency, authentic human experience isn't just valuable – it's revolutionary.


Are you ready to move beyond generic healthcare content? Let's discuss how patient-centred copywriting can transform your patient engagement strategy.

 
 
 

Comments


bottom of page