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AI for Doctors

Reduce documentation burden and communicate more clearly with patients using AI

Doctors use AI to draft clinical documentation, write patient-friendly explanations of diagnoses and treatment plans, summarize medical literature for evidence-based decision support, and create educational materials for patients with chronic conditions. AI handles the documentation overhead that takes physicians away from patient care, while helping translate medical complexity into language patients can understand and act on.

Common challenges AI helps solve

Completing clinical documentation quickly without it consuming time that should be spent with patients

Explaining complex diagnoses and treatment options to patients with varying health literacy levels

Staying current with relevant medical literature across multiple specialties simultaneously

Top use cases for Doctors

Draft a clinical letter

Draft a referral letter to a gastroenterology department for a 54-year-old female patient presenting with a 6-month history of intermittent abdominal pain, bloating, and a recent 4kg unintentional weight loss. Blood results show a slightly elevated CRP of 18 and iron deficiency anaemia with haemoglobin of 98g/L. She has a family history of colorectal cancer in a first-degree relative. I am requesting urgent investigation including colonoscopy. Use standard UK clinical letter format. I will review and add patient-specific identifiers.

Write a patient explanation

Write a plain-language explanation of Type 2 diabetes for a newly diagnosed patient with a Year 10 reading level. Explain: what Type 2 diabetes is and what causes it in their body using a simple analogy, why blood sugar management matters for long-term health in specific terms, the 3 most important lifestyle changes they can make, what their medication does in simple terms, and when to seek urgent medical attention. Avoid medical jargon. Warm, non-judgmental tone.

Summarize a medical research paper

Summarize this NEJM research paper on new GLP-1 receptor agonist trials for a GP without specialist endocrinology training: [paste abstract or key sections]. Include: the study design and population in 2 sentences, the primary outcome and whether it was met, the headline efficacy data in plain numbers, the most clinically significant side effects and their frequency, any limitations that affect applicability to a primary care population, and the one change this evidence suggests to my current prescribing practice.

Create a patient education resource

Create a one-page patient education leaflet for newly diagnosed hypertension patients. Include: what hypertension is and why it matters in plain English, 5 lifestyle modifications with specific actionable steps not vague advice, an explanation of why medication may be prescribed even if they feel fine, common questions patients have, and when to contact the surgery. Tone: supportive and empowering. Layout: headed sections with bullet points. Reading age: Year 9 maximum.

Prepare for a difficult patient conversation

Help me prepare for a conversation with a patient who has received a new cancer diagnosis. The patient is 61, physically fit, has strong family support, and has not yet been told the diagnosis. I need to break the news of early-stage pancreatic cancer detected on a CT scan. Guide me through: the SPIKES communication protocol for breaking bad news, specific language to use and avoid for each stage, how to handle the likely emotional responses including denial and anger, and how to close the conversation so the patient leaves with a clear next step rather than feeling abandoned.

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