AI for Healthcare Staff

AI suits non-clinical work such as drafting letters and memos, summarising meeting minutes, writing appointment messages, organising duty rosters and drafting easy-to-read patient information, always with staff review. Diagnosis, treatment choices and individual medical advice should not be decided by AI, and data that identifies patients must never be entered into general AI tools.

Health data is sensitive personal data under PDPA, so anything that identifies a patient must be removed or replaced before it goes into an AI tool, including names, hospital numbers, national ID numbers, dates of birth, addresses, phone numbers and any detail that reveals who they are. Use placeholder codes instead, double-check with a checklist before sending, and use only tools or accounts your organisation has approved.

Start with accurate source content from guidelines or documents your unit has approved, and state the audience, such as older patients or family carers. Ask the AI to use short sentences, avoid or explain medical terms and organise the content into headings or steps people can follow. Then have doctors, nurses or other relevant staff check it for accuracy before every use.

It suits hospital administrative, medical records, finance and appointment centre staff, nurses and support staff who handle documents and duty rosters, quality, HR and communications teams, and supervisors who need to set safe AI guidelines. It is a beginner course: general computer and office skills are enough, with no programming or AI knowledge required.

You will be able to separate tasks AI can help with from clinical work, mask patient data before using AI, draft letters, memos, minutes and appointment messages, draft patient information for review, search and summarise manuals and quality documents with NotebookLM, and plan AI use in your unit with human checkpoints. Participants receive a Certificate of Completion with its own number that can be verified online.

Yes, it can be run in-house for a hospital or clinic, with examples adapted to each unit's work, such as medical records, the appointment centre or quality improvement. All labs use mock documents with no real patient data. Request a quotation from this page, or contact LINE @itgenius or call 02-570-8449.