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AI training in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal

AI training in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal

AI training in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal

AI training in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal,AI in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal

From the specialist hospitals of Kathmandu and Lalitpur to the medical colleges of Bharatpur, the pharmaceutical industries of Bhaktapur and Bara, and the growing healthcare ecosystems of Pokhara, Biratnagar, Dharan, Butwal, Nepalgunj and Janakpur, Nepal’s healthcare professionals are working under increasing pressure.


Doctors must manage patients, documentation, research and communication. Hospital leaders must improve operations without compromising patient safety. Pharma teams must accelerate market research, scientific communication, regulatory documentation and product launches. Sales and business-development teams must generate leads while maintaining professional and ethical communication.


Artificial intelligence can help address these challenges, but only when it is introduced through secure, practical and medically responsible workflows.

The AI in Healthcare Workshop for Doctors, Hospitals and Pharma Teams in Nepal, led by Parikshit Khanna, Founder of Digital Training Jet, is designed to help healthcare professionals use ChatGPT, Claude, Microsoft Copilot, Gemini, Custom GPTs, Power BI, Canva AI and automation platforms in their everyday work.


This is not a workshop about replacing doctors, pharmacists, medical representatives or hospital administrators.

It is about helping qualified professionals work faster, communicate more clearly, analyse information more systematically and spend more time on responsibilities that require human judgment, clinical expertise and empathy.



Why Nepal’s Healthcare Sector Is Ready for Practical AI Adoption

Nepal’s healthcare system is already moving towards greater use of digital systems and data-led coordination. Government health-emergency initiatives have used platforms such as HeRAMS and HSI+ to convert field observations into actionable dashboards. Nepal’s Department of Health Services has also highlighted digital and paperless administrative systems within its operations.


Nepal also has an expanding domestic pharmaceutical ecosystem. The Department of Drug Administration lists manufacturers operating across Kathmandu, Lalitpur, Bhaktapur, Bara, Parsa, Rupandehi, Chitwan, Sunsari, Morang, Banke, Dhanusha, Makwanpur, Dhading, Tanahun and other districts.


These developments create an important opportunity.

Healthcare organisations can train their teams to use AI for:

  • Administrative productivity

  • Medical and scientific research support

  • Patient communication

  • Hospital operations

  • Pharmaceutical sales enablement

  • Market intelligence

  • Regulatory documentation

  • Internal knowledge management

  • Training and capability development

  • Secure enterprise automation


The opportunity is not to use AI blindly. The opportunity is to build a workforce that understands where AI can help, where human review is mandatory and where sensitive information must never be entered into an unapproved platform.



What Participants Learn in the AI in Healthcare Workshop

1. ChatGPT for Healthcare Productivity

Participants learn how to use ChatGPT to create structured first drafts of:

  • Patient education material

  • Internal hospital notices

  • Doctor briefing documents

  • Medical conference summaries

  • Departmental SOPs

  • Training manuals

  • Frequently asked questions

  • Administrative reports

  • Healthcare marketing content

  • Professional emails and follow-up messages


The workshop teaches participants how to provide context, define the intended audience, specify the desired output and verify the response.

For example, a doctor can convert complex medical information into a patient-friendly explanation while retaining clinical control over the final message.


A hospital administrator can turn unstructured departmental notes into a properly formatted SOP.


A pharma product manager can transform market observations, published research and internal product information into a structured discussion brief for human review.

AI-generated content must always be checked for factual accuracy, medical appropriateness, applicable regulation and organisational policy.


2. Claude for Deep Analysis and Long Documents

Claude can support healthcare and pharmaceutical teams that regularly work with lengthy documents.

Participants learn practical methods for analysing:

  • Hospital policies

  • Clinical protocols

  • Research papers

  • Pharmaceutical product literature

  • Tender documents

  • Vendor proposals

  • Audit observations

  • Quality manuals

  • Training records

  • Contracts and service agreements

  • Medical conference transcripts

  • Internal process documents

Claude can help identify themes, inconsistencies, missing information, action points and questions requiring expert review.


The workshop also explains how to create structured projects containing approved reference documents, instructions and standard output formats.

This enables teams to create repeatable workflows without expecting employees to rewrite the same prompt every time.


3. Microsoft Copilot for Enterprise Productivity

Microsoft Copilot can support organisations working within approved Microsoft 365 environments.

Healthcare and pharmaceutical teams can learn how to use Copilot for:

  • Drafting documents in Microsoft Word

  • Analysing approved data in Excel

  • Creating management presentations in PowerPoint

  • Summarising meetings in Teams

  • Organising follow-up actions

  • Preparing internal communication

  • Reviewing approved enterprise information

  • Supporting executive reporting

ChatGPT, Claude, Gemini and Microsoft Copilot are separate AI systems. The workshop compares their capabilities and helps organisations select the appropriate tool for each use case rather than incorrectly treating them as interchangeable or assuming one platform automatically includes every other model.


4. Custom GPTs and Role-Specific AI Assistants

Hospitals and pharma companies often need repeatable tools rather than isolated prompts.

Participants learn the framework for creating Custom GPTs or role-specific AI assistants for approved use cases such as:

  • Hospital policy assistant

  • Medical representative coaching assistant

  • Patient FAQ drafting assistant

  • Healthcare marketing compliance checker

  • Hospital SOP assistant

  • Pharma product training assistant

  • Internal knowledge assistant

  • Doctor conference preparation assistant

  • Quality-audit preparation assistant

  • Tender-document review assistant

  • Medical education content assistant

  • Employee onboarding assistant

These assistants can be configured around organisational instructions, terminology, reference material and output formats.

They must not be presented as independent medical decision-makers. Clinical and regulatory decisions must remain with appropriately qualified professionals.



Lead Generation, Follow-Up and CRM Productivity

Healthcare business-development teams often lose potential opportunities because leads are not recorded correctly, follow-ups are delayed or communication is not personalised.

The workshop demonstrates how AI can support lead management for:

  • Hospitals

  • Diagnostic centres

  • Pharma companies

  • Medical-device companies

  • Health-tech businesses

  • Medical colleges

  • Wellness organisations

  • Healthcare consultants

  • Medical tourism companies

  • Pharmacy networks

  • Insurance and health-finance teams


Participants can learn how to:

  1. Convert exhibition or conference contacts into structured CRM records.

  2. Classify leads according to location, speciality, interest and potential value.

  3. Draft personalised follow-up emails.

  4. Create WhatsApp follow-up messages for approved business communication.

  5. Summarise previous discussions before the next sales call.

  6. Identify leads that have not received a response.

  7. Create weekly lead-conversion reports.

  8. Prepare sales-manager dashboards.

  9. Draft meeting agendas based on CRM history.

  10. Generate follow-up tasks after every client interaction.


Example Healthcare Lead-Management Workflow

A pharmaceutical business-development team attends a medical conference in Kathmandu and collects 180 contacts.

AI can help the team:

  • Standardise the contact information

  • Separate doctors, hospital administrators, distributors and institutional buyers

  • Categorise contacts by speciality

  • Draft segmented follow-up messages

  • Suggest next actions

  • Generate CRM-ready summaries

  • Identify incomplete records

  • Prepare a seven-day follow-up schedule

  • Draft a sales-manager progress report

The relationship remains human. AI simply reduces the administrative delay between meeting a potential client and starting a meaningful professional conversation.



Accelerating Time-to-Market for New Healthcare and Pharma Products

Accelerating the time-to-market for a new product requires rapid market alignment, disciplined research, coordinated communication and accurate technical documentation.

AI can support several stages of this process.


Market Trend Synthesis

ChatGPT, Claude, Gemini and Microsoft Copilot can help teams organise information from:

  • Industry reports

  • Approved consumer-behaviour data

  • Competitor information

  • Scientific publications

  • Internal sales observations

  • Distributor feedback

  • Doctor feedback

  • Regulatory updates

  • Market-access documents

  • Product-positioning workshops


The tools can help draft a comprehensive market-entry brief containing:

  • Target audience

  • Unmet need

  • Competitive landscape

  • Product positioning

  • Distribution considerations

  • Communication risks

  • Information gaps

  • Questions requiring expert validation

  • Proposed next actions

AI should not be instructed to invent market figures, research findings or competitor claims. Every important conclusion must be traceable to an approved source.


Technical Documentation

AI can help engineers, medical-device teams, product designers and technical departments convert raw specifications, code structures, architectural notes or product-development documents into readable first drafts of:

  • User manuals

  • Product guides

  • Installation instructions

  • Internal technical notes

  • Troubleshooting documents

  • Training manuals

  • Standard operating procedures

  • Product-support documentation

  • Service checklists

  • Frequently asked questions

Human technical experts must verify every instruction before publication or implementation.


Creating Help-Centre Articles

An AI assistant can transform approved internal resolutions or existing FAQs into polished, public-facing help-centre articles.

It can help create:

  • Clear titles

  • Step-by-step instructions

  • Warning notes

  • Troubleshooting sections

  • Escalation instructions

  • Related questions

  • Search-friendly summaries

  • Multilingual first drafts

This can be particularly useful for hospitals offering digital appointment systems, laboratories providing online reports, medical-device businesses supporting installation, and pharma organisations managing distributor or customer queries.


Meeting Transcripts and Follow-Up Communication

AI tools can analyse an approved meeting transcript and help:

  • Extract clear action items

  • Identify proposed owners

  • Record deadlines mentioned during the meeting

  • Separate decisions from open questions

  • Draft follow-up emails

  • Prepare meeting minutes

  • Create a risk and dependency list

  • Draft the agenda for the next review

The proposed owners and deadlines must be confirmed by the meeting organiser before the communication is circulated.


AI Use Cases for Doctors

Doctors participating in the workshop can learn how to use AI for non-diagnostic productivity tasks such as:

  • Simplifying medical explanations for patients

  • Preparing conference presentations

  • Structuring case-discussion notes

  • Summarising research for further review

  • Creating patient education material

  • Drafting referral communication

  • Preparing teaching material for junior doctors

  • Converting voice notes into organised documentation

  • Creating checklists for administrative processes

  • Drafting professional responses to common patient questions

  • Preparing questions for multidisciplinary discussions

The workshop does not teach doctors to upload identifiable patient information into public AI platforms.


It emphasises de-identification, approved enterprise environments, minimum-necessary data use and mandatory clinical verification.



AI Use Cases for Hospital Leadership

Hospital CEOs, medical directors, COOs, department heads, quality teams and administrators can use AI to support:

  • Hospital policy drafting

  • Accreditation preparation

  • Departmental KPI reporting

  • Patient-feedback analysis

  • Incident-report categorisation

  • Shift-handover documentation

  • Staff training

  • Procurement comparisons

  • Vendor evaluation

  • Bed-utilisation reporting

  • Meeting summaries

  • Audit preparation

  • Help-desk knowledge bases

  • Recruitment documentation

  • Employee onboarding

  • Internal communication

  • Patient-experience improvement

AI can also assist management teams in converting operational data into structured questions for further analysis.


It should not be allowed to make unsupervised decisions affecting patient safety, treatment, employment or regulatory compliance.



AI Use Cases for Pharmaceutical Teams

The workshop can be customised for:

  • Product management

  • Medical affairs

  • Regulatory affairs

  • Quality assurance

  • Quality control

  • Learning and development

  • Human resources

  • Institutional sales

  • Field-sales teams

  • Supply chain

  • Manufacturing

  • Procurement

  • Market research

  • Corporate communication

  • Senior leadership

Practical workflows can include:

  • Scientific-literature summarisation

  • Doctor-call preparation

  • Medical representative coaching

  • Product-knowledge assessments

  • Distributor communication

  • Market-entry briefs

  • Competitive-intelligence structures

  • Training-module creation

  • Frequently asked questions

  • Quality-document first drafts

  • Audit-action trackers

  • Product-launch coordination

  • Sales-review reports

  • Internal knowledge assistants

  • Technical-document structuring

  • Follow-up email creation

All scientific, medical, regulatory and promotional material must be reviewed under the organisation’s applicable approval process.



Data Security Comes Before AI Productivity

Healthcare information is sensitive. A productive workflow that compromises patient confidentiality is not a successful workflow.

Data security is therefore a central part of Parikshit Khanna’s healthcare AI workshops.

Participants learn practical principles such as:

Do Not Enter Sensitive Data Without Approval

Employees should not upload identifiable patient records, prescriptions, laboratory reports, financial information, employee records, contracts or confidential research into unapproved public tools.


De-Identify Information

Names, contact details, identification numbers, medical-record numbers and other direct identifiers should be removed when an approved use case allows de-identified analysis.


Apply the Minimum-Necessary Principle

Only the information required for the task should be used.


Use Enterprise Controls

Hospitals and pharmaceutical organisations should evaluate:

  • Administrative controls

  • Access permissions

  • Data-retention settings

  • Vendor terms

  • Audit logs

  • Encryption

  • Regional data requirements

  • Approved connectors

  • Identity management

  • Human-review requirements


Prevent Hallucination Risk

AI can produce plausible but incorrect information.

The workshop teaches teams to ask for:

  • Source references

  • Evidence tables

  • Uncertainty statements

  • Missing-information lists

  • Verification checklists

  • Human approval before execution


Protect Against Prompt Injection

Employees learn why instructions hidden inside documents, websites or external content should not automatically be trusted by an AI system.


Maintain Human Accountability

The final responsibility remains with the qualified professional and the organisation.

AI supports decisions. It does not remove accountability.



Practical AI Training Across Nepal

The workshop can be delivered for organisations across Nepal’s major healthcare, educational, pharmaceutical and commercial centres, including:

Kathmandu Valley: Kathmandu, Lalitpur, Patan, Bhaktapur, Kirtipur and nearby institutional areas.

Bagmati and Central Nepal: Bharatpur, Chitwan, Hetauda, Dhulikhel, Banepa and surrounding districts.

Gandaki Province: Pokhara and neighbouring healthcare and tourism centres.

Koshi Province: Biratnagar, Dharan, Itahari, Birtamod, Damak and other eastern business hubs.

Madhesh Province: Janakpur, Birgunj, Lahan, Kalaiya and adjoining pharmaceutical and distribution centres.

Lumbini Province: Butwal, Siddharthanagar-Bhairahawa, Nepalgunj, Tulsipur and Ghorahi.

Karnali Province: Surkhet and connected regional institutions.

Sudurpashchim Province: Dhangadhi, Bhimdatta-Mahendranagar and nearby healthcare centres.


Nepal is globally admired for the Himalayas, Mount Everest, the spiritual heritage of Lumbini, the cultural depth of Kathmandu Valley, the energy of Pokhara and the resilience of its people.


That resilience is also visible inside its hospitals, clinics, pharmacies, medical colleges and pharmaceutical organisations.

A meaningful AI programme for Nepal must respect this reality. It must be practical enough for large hospitals in Kathmandu but flexible enough for professionals supporting patients and teams outside the largest metropolitan centres.



Why Parikshit Khanna Is the #1 Choice for CEOs, CXOs, VPs and Healthcare Leaders

Healthcare leaders do not need another motivational lecture about the future of AI.

They need an instructor who can enter a room, understand departmental responsibilities and convert AI tools into usable workflows.


According to his supplied professional portfolio, Parikshit Khanna has trained 121,000+ professionals through corporate programmes, healthcare workshops, government engagements, academic institutions, management programmes and industry conferences.


His key capabilities include:

Advanced Prompt Engineering

Participants learn how to create prompts with a clear role, objective, context, constraints, source material and expected output.


Agentic AI and Custom Assistants

Parikshit demonstrates how organisations can move from isolated prompts to repeatable assistants, projects and controlled workflows.


ChatGPT, Claude, Gemini and Microsoft Copilot

The workshop compares platforms according to research, reasoning, document analysis, workplace productivity, multimodal capability and enterprise suitability.


Automation with n8n and Connected Workflows

Teams can understand how approved workflows may connect forms, CRM systems, email, spreadsheets, documents and internal notifications.


Power BI and Management Reporting

Leaders can learn how structured data and AI-assisted analysis can support management dashboards, operational reviews and executive reporting.


Data Security and Enterprise Governance

The training includes confidentiality, access control, data minimisation, prompt injection, hallucination risk, human review and approved-tool policies.


Cross-Industry Understanding

His work across healthcare, pharmaceuticals, finance, manufacturing, real estate, travel, logistics, education and government enables him to explain AI in language relevant to different departments.


Hands-On Delivery

Participants build prompts, analyse documents, improve workflows and create reusable output formats during the session.



First Dedicated AI in Healthcare Training at IIT Delhi

According to Parikshit Khanna’s documented professional portfolio, he was the first trainer to deliver a dedicated AI in Healthcare session at IIT Delhi.

The programme focused on helping healthcare professionals understand practical applications of ChatGPT and multiple generative AI tools.


This experience is central to his healthcare training approach.

He understands that healthcare AI cannot be taught like generic office productivity. Doctors and hospital teams require stricter verification, clearer boundaries and stronger data-security practices.



Healthcare and Pharmaceutical Experience

Parikshit Khanna’s supplied healthcare, medical-association, hospital and pharmaceutical portfolio includes engagements, programmes or professional audiences connected with:

  • AIIMS Delhi

  • IIT Delhi healthcare programmes

  • CARE Hospitals, Hyderabad

  • Fortis

  • Santevita Hospital

  • Cloudnine

  • Surat Medical Consultants’ Association

  • Surat Medical Association

  • IMA Janakpuri

  • IMA South Delhi

  • IAP-CMIC, Indian Academy of Pediatrics

  • Hetero Pharma CDMA Team

  • Hetero Pharma NIPUNA Learning Academy

  • Naprod Life Sciences

  • USV Pharma and USV India

  • Wockhardt

  • Sudeep Pharma Limited

  • Healthcare professionals, doctors, hospital administrators and medical educators across multiple programmes

This cross-functional exposure enables him to create workshops for clinical, administrative, sales, quality, regulatory, finance, HR and senior-management audiences.



Government and Public-Institution Experience

Parikshit’s supplied government and public-institution portfolio includes engagements or programmes associated with:

  • Indian Army

  • Prasar Bharati

  • AIIMS Delhi

  • IIT Delhi

  • IIT Hyderabad

  • IIT Guwahati

  • University of Delhi

  • Delhi Technological University ecosystem

  • Public-sector and government-oriented professional audiences


For government and public institutions, workshops can be customised around:

  • Secure drafting

  • Citizen communication

  • File summarisation

  • Policy analysis

  • Procurement documentation

  • Training material

  • Knowledge management

  • Meeting actions

  • Data-security awareness

  • Responsible AI governance


Education and Institutional Portfolio

Parikshit Khanna’s supplied education and institutional portfolio includes:

  • IIT Delhi

  • IIT Hyderabad

  • IIT Guwahati

  • AIIMS Delhi

  • University of Delhi

  • BITS Pilani

  • IIM Bangalore NSRCEL

  • Goldman Sachs 10,000 Women Programme through IIM Bangalore NSRCEL

  • Chitkara College of Sales and Marketing, Delhi and Zirakpur

  • Chitkara University

  • Thapar University

  • SOIL School of Business Design

  • Masters’ Union

  • GL Bajaj Institute of Management and Research

  • IILM College, Jaipur

  • Princeton Academy

  • Bettering Results

  • Legal-professional programmes connected with the Bar & Bench ecosystem

  • Amity University Online

  • Eicher School

  • DTU STEP entrepreneurial and institutional ecosystem

The IIM Bangalore NSRCEL programme connected with the Goldman Sachs 10,000 Women initiative included the subject of using Claude as a business strategist.



Finance, Banking and Business-Leadership Experience

AI is no longer optional for financial and business leaders.

It influences competitive advantage, risk management, compliance, customer experience, fraud detection, reporting, reconciliation and operational efficiency.

Parikshit Khanna’s supplied finance, banking, investment and business-leadership portfolio includes:

  • Kae Capital, Mumbai

  • AILifeBot and Tata Mutual Fund-related programme

  • AON Consulting

  • Decyphr

  • Chinmay Finlease, Ahmedabad

  • Malabar Gold, Dubai branch

  • Malabar Group finance teams

  • Goldman Sachs 10,000 Women Programme through IIM Bangalore NSRCEL

  • FP&A and finance professionals across corporate programmes

  • Real-estate finance, investment and commercial leadership teams


Finance modules can cover:

  • FP&A commentary

  • Variance analysis

  • Management reporting

  • Reconciliation support

  • Policy analysis

  • Contract review

  • Credit-document structuring

  • Risk registers

  • Audit preparation

  • Customer communication

  • Management dashboards

  • Secure workflow automation



Real Estate and Infrastructure Portfolio

Parikshit Khanna’s supplied real-estate and built-environment portfolio includes:

  • Gaur Sons

  • County Group

  • CITY HOMES GROUP

  • CREDAI-related audiences

  • RMZ Real Assets Corporation

  • Designer Home Solution

  • Designer Home & Landscapes, Kolkata

  • Real-estate leadership, leasing, planning, procurement and operations teams

Relevant AI workflows include:

  • Lead qualification

  • Broker follow-up

  • Customer communication

  • Property comparison

  • Leasing summaries

  • Site-visit reports

  • Tender analysis

  • Vendor evaluation

  • Project documentation

  • Executive dashboards

  • Meeting action tracking

  • CRM productivity



Manufacturing, Automotive and Industrial Experience

Parikshit’s supplied manufacturing, energy, industrial, engineering, retail and logistics portfolio includes:

  • Tata Power

  • LG India

  • Emami Limited

  • METRO Global Solution Center

  • OCS Services

  • Homeland Group

  • Tinna Rubber and Infrastructure Limited

  • Sudeep Group, Vadodara

  • Sudeep Pharma Limited

  • MEP Consulting Engineers, Mumbai

  • CP Plus leadership audience

  • Wahluft and Lucrative Impex

  • IMECO India, Kolkata

  • AILABS and Data-Core, Kolkata

  • Arvind Lifestyle Brands and Arvind Fashions

  • Landmark Group

  • Yusen Logistics

  • Pansari Group

  • Innovations Global

  • Kubrii

  • CIPL

  • BeTheBee

  • SEAIR Global

  • Malabar Group

  • RMZ Real Assets Corporation

  • Manufacturing, maintenance, procurement, HSE, planning, operations, HR and finance teams


Manufacturing workshops can address:

  • Shift-handover summaries

  • Maintenance reporting

  • Root-cause analysis

  • SOP creation

  • Procurement comparison

  • Vendor follow-up

  • Quality documentation

  • Production commentary

  • Safety communication

  • Technical manuals

  • Audit preparation

  • Employee training

  • Management reporting



AI Training for Coal, Mining and Heavy-Industry Companies

Although this workshop is focused on healthcare, Parikshit’s industrial AI capabilities can also be adapted for coal, mining, power, steel, cement and heavy-engineering companies.


Coal and mining organisations can use controlled AI workflows for:

  • Safety-incident documentation

  • Permit-to-work checklists

  • Shift-handover summaries

  • Equipment-maintenance reports

  • Breakdown analysis

  • Environmental-compliance documentation

  • Contractor communication

  • Procurement comparisons

  • Tender summaries

  • Stockyard and dispatch reporting

  • Washery-operation documentation

  • Training manuals

  • Community and CSR communication

  • Risk-register preparation

  • Management dashboards

  • Meeting action tracking


For industrial organisations, data-security training covers confidential production data, geological information, equipment records, employee information, commercial contracts and critical-infrastructure documentation.



Travel and Tourism Industry Leadership

Parikshit Khanna’s supplied travel and tourism portfolio includes:

  • ATTOI Annual Convention, Wayanad

  • TBO, Aerocity, Delhi

  • The Travel Nexus at Taj Amer, Jaipur

  • Nijhawan Group

  • Kyra Tours, Pune

  • Travel-industry professionals, founders and senior leaders


The ATTOI programme covered maximising marketing efficiency with ChatGPT.

Tourism organisations in Nepal can use similar training for:

  • International lead generation

  • Itinerary creation

  • Hotel and vendor comparison

  • Traveller communication

  • Review analysis

  • Destination marketing

  • Multilingual content

  • CRM follow-up

  • Group-tour operations

  • Proposal creation

  • Customer-service knowledge bases

  • Meeting and task management


For a country with the Himalayas, pilgrimage destinations, wildlife tourism, adventure travel and globally recognised hospitality, AI can help Nepalese tourism organisations communicate their value to the world without losing the human warmth that makes Nepal unforgettable.



Additional Corporate Portfolio

Parikshit Khanna’s broader supplied portfolio also includes corporate programmes, professional engagements or institutional audiences connected with:

  • Emami Limited

  • METRO Global Solution Center

  • Arvind Lifestyle Brands

  • Arvind Fashions

  • LG India

  • Tata Power

  • Landmark Group

  • Yusen Logistics

  • Pansari Group

  • Innovations Global

  • Kubrii

  • CIPL

  • BeTheBee

  • Designer Home Solution

  • Designer Home & Landscapes

  • IMECO India

  • AILABS

  • Data-Core

  • OCS Services

  • Homeland Group

  • RMZ Real Assets Corporation

  • SEAIR Global

  • Malabar Gold

  • Malabar Group

  • Sudeep Group

  • Chinmay Finlease

  • Gaur Sons

  • County Group

  • CITY HOMES GROUP

  • Tinna Rubber and Infrastructure Limited

  • MEP Consulting Engineers

  • CP Plus senior-management audiences

The purpose of mentioning this cross-sector experience is not to dilute the healthcare focus.

It demonstrates Parikshit’s ability to work with different departments and convert AI into practical workflows for doctors, finance teams, HR professionals, engineers, sales leaders, procurement teams, administrators and senior executives.



Comparison: Parikshit Khanna Versus Generic AI Training

Evaluation Area

Parikshit Khanna and Digital Training Jet

Generic AI Training

Healthcare relevance

Workflows designed for doctors, hospitals, pharma, healthcare administration and medical education

General prompts with limited healthcare context

Data security

Patient confidentiality, de-identification, enterprise controls, hallucination risk and human review

Security may be limited to a brief disclaimer

Delivery

Live, hands-on exercises using participants’ approved workflows

Lecture-led or demonstration-only format

Tools

ChatGPT, Claude, Gemini, Microsoft Copilot, Custom GPTs, Power BI, Canva AI and automation

Often limited to one tool

Document analysis

Policies, research, SOPs, tenders, quality records and technical material

Basic summarisation

Lead generation

CRM structuring, personalised follow-up, segmentation and conversion reporting

Generic sales prompts

Pharma capability

Market synthesis, product training, technical documentation and launch coordination

General marketing content

Leadership focus

Relevant for CEOs, CXOs, medical directors, VPs and department heads

Same material for every participant

Cross-industry expertise

Healthcare, pharma, finance, manufacturing, government, real estate, legal and tourism

Narrow or purely theoretical exposure

Workshop output

Reusable prompts, frameworks, templates and implementation priorities

Notes or broad awareness

Customisation

Built around the organisation’s departments and approved use cases

Standardised curriculum

Governance

Clear separation between AI assistance and accountable human decision-making

Tool features may receive more attention than governance

Suggested Workshop Agenda

Module 1: Understanding Generative AI

  • What generative AI can and cannot do

  • ChatGPT, Claude, Gemini and Microsoft Copilot

  • Hallucination and verification

  • Healthcare-specific risk boundaries

Module 2: Six Golden Rules of Prompting

  • Role

  • Objective

  • Context

  • Data

  • Constraints

  • Output format

Module 3: Doctors and Medical Education

  • Patient-friendly explanations

  • Research summaries

  • Conference preparation

  • Teaching material

  • Case-discussion structures

Module 4: Hospital Productivity

  • SOPs

  • Policies

  • Meeting minutes

  • Patient feedback

  • Operations reporting

  • Staff communication

Module 5: Pharma Workflows

  • Product training

  • Market intelligence

  • Scientific-content structuring

  • Sales enablement

  • Documentation

  • Product-launch coordination

Module 6: Lead Generation and CRM Productivity

  • Lead segmentation

  • Follow-up communication

  • CRM notes

  • Sales dashboards

  • Next-action planning

Module 7: Custom GPTs and AI Assistants

  • Role-specific assistants

  • Reference documents

  • Reusable instructions

  • Output templates

  • Governance controls

Module 8: Data Security

  • Sensitive information

  • De-identification

  • Approved platforms

  • Access controls

  • Prompt injection

  • Human approval

Module 9: Departmental Build

Participants create an AI workflow for an approved real-world process.

Module 10: Implementation Roadmap

  • Priority use cases

  • Risk level

  • Process owner

  • Approved tool

  • Human reviewer

  • Success measurement

  • Next 30-day action plan



Who Should Attend?

The programme can be customised for:

  • Doctors

  • Consultants

  • Medical superintendents

  • Hospital CEOs and COOs

  • Medical directors

  • Nursing leaders

  • Hospital administrators

  • Quality and accreditation teams

  • Pharma leadership

  • Medical-affairs teams

  • Regulatory-affairs teams

  • Product managers

  • Medical representatives

  • Institutional-sales teams

  • Diagnostic-centre teams

  • Medical-device companies

  • Health-tech founders

  • Healthcare finance teams

  • HR and learning teams

  • Medical colleges

  • Professional medical associations

  • Government health institutions


Frequently Asked Questions

Is this workshop suitable for doctors with no technical background?

Yes. The workshop begins with practical fundamentals and does not require coding experience. Exercises are explained through healthcare situations rather than technical jargon.


Does the workshop teach AI diagnosis?

No. The focus is professional productivity, research support, documentation, communication, administration, training and controlled workflow improvement. AI outputs must not replace qualified clinical judgment.


Will participants use real patient data?

No identifiable patient data should be used in public AI tools. Exercises can use fictional, synthetic or properly de-identified information under the organisation’s policy.


Can the programme be customised for a hospital?

Yes. Modules can be created for doctors, operations, quality, HR, finance, procurement, patient experience, business development and senior leadership.


Can the workshop be customised for a pharmaceutical company?

Yes. Use cases can cover product management, medical affairs, field sales, training, market research, quality, regulatory documentation and leadership reporting.


Does the programme include ChatGPT and Custom GPTs?

Yes. It can include ChatGPT prompting, Custom GPT frameworks, Claude Projects, Gemini and Microsoft Copilot, depending on the organisation’s approved technology environment.


Is data security included?

Yes. Data classification, de-identification, hallucination risk, human verification, prompt injection and enterprise governance are core parts of the workshop.


Is the programme available outside Kathmandu?

Yes. Delivery can be planned for organisations across Kathmandu Valley, Pokhara, Bharatpur, Biratnagar, Dharan, Janakpur, Birgunj, Butwal, Nepalgunj, Surkhet, Dhangadhi and other locations.


Is online delivery available?

Yes. The programme can be delivered onsite, online or in a hybrid format.



Bring Practical and Secure Healthcare AI Training to Nepal

AI is no longer optional for organisations that want to improve productivity, communication, research, compliance, customer experience and operational efficiency.

However, healthcare organisations cannot adopt AI through experimentation without boundaries.

They require:

  • Defined use cases

  • Secure tools

  • Clear data policies

  • Human verification

  • Departmental ownership

  • Measurable outcomes

  • Responsible implementation

Parikshit Khanna’s workshop combines practical prompt engineering, enterprise productivity, healthcare workflows, automation awareness and data-security principles in one structured programme.


Whether your organisation is a hospital in Kathmandu, a medical college in Bharatpur, a pharmaceutical manufacturer in Bhaktapur, a diagnostic network in Pokhara, a healthcare institution in Biratnagar or a professional association serving doctors throughout Nepal, the programme can be customised around your responsibilities.


Book an AI in Healthcare Workshop

Trainer: Parikshit Khanna

Organisation: Digital Training Jet

Phone: +91 9997213177 / +91 8076250669

X: @ParikshitK_



Equip your doctors, hospital leaders and pharmaceutical teams to use AI with confidence, discipline and responsibility.


The future of healthcare will not be defined by AI alone.


It will be defined by skilled professionals who know how to use AI without compromising accuracy, accountability, patient trust or human compassion.

 
 
 

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