AI in Healthcare: Improving Patient Letters and Communications

In healthcare, clear communication is as vital as the treatment itself. Unfortunately, administrative burdens and complex systems can often lead to confusing letters or impersonal messages, creating unnecessary anxiety for patients and increasing staff workload.

Why this matters for SMEs

Poor communication in healthcare directly impacts patient satisfaction and staff efficiency, from administrative and clinical teams managing inquiries to patient support staff dealing with confused patients. For smaller clinics or healthcare providers, this can strain resources and damage reputation, leading to lost time and potential re-work.

What it looks like in practice

Consider Fiona, a practice manager at a busy physiotherapy clinic in Cork. Every week, she dedicates several hours to answering patient calls about appointment letters that lack key details, or explaining follow-up instructions that weren't clearly articulated post-consultation. This often involves her receptionists fielding questions that could have been avoided with clearer initial communication, diverting them from other essential tasks like scheduling and patient intake.

Before AI: A patient receives an appointment letter for a follow-up. It states the date and time but doesn't mention why they need to attend, what to bring, or who they will be seeing, beyond a general department name. The patient, confused and a little anxious, calls the clinic. The receptionist spends 5-10 minutes looking up their file, clarifying details, and reassuring them, holding up new callers or patients waiting for the front desk.

With AI: The clinic adopts a simple AI-powered communication assistant. This system integrates with their existing patient management software. When a follow-up appointment is scheduled, the AI reviews the patient's recent history (e.g., 'post-hip surgery review') and drafts a personalised letter. It automatically inserts key information: 'This appointment is for your 6-week post-operative hip surgery review. Please bring any recent X-ray results and wear comfortable clothing. You will be seen by Dr. O'Connell.' The AI also ensures the tone is empathetic and clear. Before sending, a human staff member briefly reviews the AI-generated draft for accuracy, which takes only a minute or two. The patient receives a comprehensive, easy-to-understand letter, reducing their need to call for clarification. This frees up the receptionist to focus on scheduled tasks and immediate patient needs, improving overall clinic flow and patient experience.

What could go wrong

• Over-reliance: Staff might become too reliant on the AI, potentially overlooking nuanced patient situations or losing the knack for crafting truly empathetic communication themselves.
• Data privacy concerns: Integrating AI with patient data requires strict adherence to GDPR and robust cybersecurity measures, which can be complex to ensure.
• System integration challenges: Getting AI to 'talk' effectively with existing, sometimes older, healthcare management systems can be technically difficult and costly.
• Loss of personal touch: If not carefully managed, AI could make communications feel too generic or cold, especially when patients are facing sensitive health issues.

What to try this week

1. Review your current patient communications: Gather examples of feedback from patients about confusing letters, emails, or instructions. Identify common pain points and areas needing clarity.
2. Pilot a small AI-assisted writing tool: Explore an off-the-shelf AI writing assistant on a non-sensitive document, like internal memos or consent form drafts, to understand its capabilities and limitations. Focus on how it can enhance clarity and conciseness, without handling patient data directly yet.
3. Consult an expert on responsible AI: Reach out to a consultancy like Artellis to discuss how AI can be safely and effectively implemented within your specific healthcare setting, ensuring compliance with data protection laws and focusing on truly human-centred design.

Even small improvements in communication can have a significant positive impact on patients and staff alike.