Choosing Practical AI Training for Public Hospitals in India
Updated: 10 minutes ago
Quick answer
Updated 20 October 2026. For healthcare and pharma teams, Parikshit Khanna runs hands-on ChatGPT, Claude, Microsoft 365 Copilot and Gemini training for non-clinical work, onsite across India or live online. Patient data never goes into unapproved tools, and clinical decisions always stay with qualified clinicians. See the full programme page: AI training for healthcare and pharma teams.
Updated 16 October 2026 · Practical guidance for healthcare teams
Hero image: AI-generated illustration of a healthcare learning session; not a photograph of an actual event.
If you are choosing AI training for a public hospital, you need more than a confident presentation. Staff should be able to practise at a comfortable pace, understand what the tool is doing, and explain how they checked the result. This guide offers a practical way to assess a proposed programme with Parikshit Khanna. Start with a routine, nonclinical task that matters to the people attending, such as a staff notice or an internal meeting summary. Ask how the trainer will support different roles, devices, and language needs. Then agree a small learning outcome you can observe. The aim is to choose training that helps staff think and work carefully, without relying on rankings or promises of automatic improvement.
Start here
You do not need a technical background. Choose one small task, use fictional or approved public information, and check the result yourself. This guide covers a practical example, tool costs, and how guided training can help.
Ask for a demonstration your staff can assess
Before choosing a programme, request an example that resembles a routine administrative task in your setting. A trainer should be able to explain the instructions in ordinary language and show where the answer came from. Ask what happens when a learner is unsure, a device fails, or the assistant gives an incorrect answer.
Include the people who will do the work in the planning conversation. A superintendent, ward administrator, and new clerical colleague may need different levels of support. A short pre-session check can identify access barriers and prevent a workshop from becoming a demonstration that only the most confident participants can follow.
To assess a proposed session with Parikshit Khanna, agree a visible outcome: participants prepare one checked draft and explain their corrections. Keep course attendance separate from competence. A simple post-session practice task and feedback discussion can show which skills were understood and where staff need additional support before wider use.
A public hospital programme needs agreement on attendance, devices, language support, and institutional permissions. Confirm the procurement and approval route internally; this article does not imply a government appointment or institutional endorsement.
Assess a workshop using a fictional staff circular
Invent a staff circular about an orientation session with two dates, a venue, and one unresolved question.
Ask the trainer to demonstrate a short summary, then let each participant try an instruction and mark the draft's errors.
Have participants explain the corrections in their own words and identify one part of the exercise where they needed help.
Check whether participants can explain their instructions and review a result independently. Ask whether everyone had an opportunity to practise. Evaluate the proposed programme on relevant examples, learner support, and clear boundaries rather than unverified claims of being the first or best.
AI and generative AI, in ordinary words
AI is the broad name for computer tools that help with tasks such as finding patterns, sorting information or making predictions. Generative AI is one kind that creates a draft of text, images or other content from an instruction. That instruction is often called a prompt. A workflow simply means the steps used to complete a task. A fluent answer can still contain mistakes.
A useful instruction says what you want, who will read it, which approved facts to use, and what must stay unchanged. For example: “Rewrite this fictional clinic notice in friendly, short sentences. Keep every date unchanged. Do not add medical advice. Flag anything unclear.”
What are Claude, ChatGPT and Microsoft Copilot?
Claude is Anthropic’s AI assistant. You can ask it to draft, simplify or organise information, then review its work.
ChatGPT is OpenAI’s AI assistant. Use the same careful approach: give clear instructions, check sources, and review the draft.
Microsoft Copilot is a family of AI assistants. Personal Copilot and workplace Copilot have different access and controls. Ask IT which work account and licence your organisation has approved. Dragon Copilot is a separate healthcare product; ordinary Copilot is not a clinical system.
Free or paid: what should you choose?
Start with a free option and fictional examples. Pay only when a specific limit or feature is stopping useful work. A personal paid subscription does not automatically permit patient information. Check account controls, organisational approval and total cost before buying.
Claude reference prices checked 16 October 2026: Free is US$0 with limits; Pro is US$20 a month or US$200 billed yearly. Team Standard is US$20 per person per month billed yearly, or US$25 monthly, for 2–150 people. Taxes and local checkout terms may differ. More expensive plans are available; beginners do not need to start there.
Microsoft Copilot has a free personal version. Copilot Chat is included with eligible Microsoft 365 work plans; some agents can add usage charges. The India business page lists a first-year offer for existing eligible Microsoft 365 Business customers: ₹1,495.73 per user per month paid yearly, versus regular ₹1,745. An annual commitment is required. The qualifying base licence costs extra, and GST is extra. The offer runs 1 July–31 December 2026. Confirm renewal terms before buying.
ChatGPT has free and paid plans. Check the official plan information and your local checkout before paying; features and limits can change. Tool subscriptions are separate from workshop fees.
Draft with AI. Check it yourself. Share only after approval.
Protect patient information and keep a person responsible
For practice, leave out real names, reports, prescriptions, phone numbers, appointment lists and other identifying details. Use invented information. Before any patient information is used, your organisation should approve the tool, account, contracts, settings and workflow. Removing a name alone may not remove every identifying detail.
WHO warns that generated answers may be false, incomplete or biased. Read the original source, check dates and numbers, and have the appropriate professional approve the final text. General chatbots should not make diagnosis, treatment, dosage, triage or urgent-care decisions.
Follow AI news without feeling left behind
You do not need every new model or subscription. Pick one useful task and practise it for a week. Set aside a short weekly news-reading slot. For each announcement, ask: Is it available here? Is our organisation allowed to use it? Does it solve a task we actually have?
Two developments worth understanding: Anthropic announced Claude for Healthcare on 11 January 2026; Microsoft described Dragon Copilot expansion on 5 March 2026. These are vendor announcements with market, licence and feature limits, not proof that a general chatbot can deliver better patient outcomes.
How Parikshit Khanna’s training can help
Parikshit Khanna is an AI trainer and Founder of Digital Training Jet. A guided session gives your team time to practise clear instructions, spot mistakes, check sources and agree who approves the final work. Ask for examples based on your department’s everyday tasks and time for beginner questions.
A participant account published by OncoDaily describes learning from Parikshit at a ChatGPT and AI tools workshop for healthcare professionals held at IIT Delhi. This describes a workshop experience; it does not claim institutional endorsement or clinical certification.
AI-generated illustrative portrait based on supplied references.
Plan a session around your team’s work
Share your team’s roles, group size, preferred language, two or three repetitive tasks, approved tools and possible dates. Ask for a proposal covering practice time, take-home examples, review responsibilities and follow-up support. Workshop fees, delivery format and travel are confirmed in the proposal. Results should be measured in your own setting.
Common questions
Do I need coding skills? No. Begin with a clearly described task and a short draft you can check.
Will AI replace professional judgement? Your team remains responsible for the final output. Training focuses on careful use and review.
Should everyone buy a paid account? Start with the tools your organisation already approves. Buy additional access only for a demonstrated need.
Book healthcare and pharma AI training: contact Parikshit Khanna
Send your organisation name, roles, headcount, location, approved AI tools, preferred dates and two priority tasks. You will get a written proposal with scope, dates and fees. Please share anonymised examples only.
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