happy to announce one month online course in PMT

Fill this Google form for updates

https://docs.google.com/forms/d/e/1FAIpQLSdsHs_sagHKCnrlbD33cDskbVvR946_GyKegvyJSXlgw2f9RA/viewform?usp=header

Syllabus :-
• Difference between sales & marketing
* Hierarchy of sales & PMT
* Useful tips & Techniques for PMT interviews
* Communication & presentations
* Career Transition Opportunities
* Roles and Responsibilities of PMT
* AI and Technology in PMT
* Brief about various allied departments supporting PMT
* Location of PMT Jobs & work culture
* Exercise on branding & medical content writing
* Insights about various brand building activities
* Identifying molecules for future growth
* Product Life Cycle
* 4P’s of marketing
* Introduction to different publicity mediums
* Brief knowledge about printing technology
* Insight about input (gift) planning
* Collaborations with different bodies to promote company/brands
* Case study of mega brands >100 Cr.
* Budgeting & planning of resources (funds, manpower)
* Developing sales team to align with company objective
* Importance of Field work & information gathering
* Ownership of brands
* Career Growth plan & time frame
* Analysing market data (AWACS, IQVIA)

Benefits of course :-

1) Certification Provided
2) Live lectures with recording
3) 100% placement assistance
4) study material provided

Course fees :-
6999/-

https://rzp.io/rzp/vOHcxbm
Above link for the payment

How to enroll :-
Click here to
https://rzp.io/rzp/vOHcxbm (offer price link)
OR
Pay online to 9423272876 via gpay or phonepay or Paytm

After payment kindly share your email ID, name, qualification and location on whatsup to 9423272876

You will get email confirmation and also added in class whatsup group
You will receive a book to refer before class

Thank you

Hope you all are doing well

We are Announcing ’3 months online course in basic medical coding

To know more information please fill this google form

https://docs.google.com/forms/d/e/1FA…

Course Date :- 09 October 2025

Class time :- 4pm to 6pm ( on weekends)

Here are details of course

Syllabus

1) Language of Medicine (Medical terminology, Anatomy, physiology, Pathology, Lab techniques, etc.)

2) ICD-10 CM Coding Conventions, General Coding and Chapter specific Guidelines.

3) Introduction of CPT and HCPCS coding

4) HIPAA Training (Health Insurance Portability and Accountability Act)

5) Revenue Cycle Management and Plenty of Sample coding Scenarios.

Skill development classes

1) Resume preparation

2) How to search jobs

3) Expert advice

4)HR interview question discussion

5)Mock interview

Benefits

1) Certificate from ISO certified organization which is accepted worldwide

2) 100% placement assistance

3) Learn from top industry experts working professionals from top MNC in india

Fees :-

7999/-( Full fees )

Installment fees :- 8999/-

How to enroll

Click here

https://rzp.io/rzp/vcSKRQD7 (Full fees )

OR

pay online to 9423272876

For instalment kindly pay us to 9423272876

After payment share payment screenshot with your Name, Email Id,location and qualification on Whatsup to 9423272876

You will get seat confirmation email and recordings will be shared on your mail

For any query Whatsup us or call us 9322341947

Email us at mypharmacareer2@gmail.com

Visit us at www.globalpharmaacademy.com

NOTE – ONCE FEES PAID CAN’T BE REFUNDED

Frequently asked questions

1) Which certification we get after this course

Answer– You will get certification of course completion from Global Pharma Academy which is ISO and MSME certified

2) Details about Global Pharma Academy

Answer– Visit at www.globalpharmaacademy.com

OR

Check our YouTube channel    • Introduce Global Pharma Academy (India’s m…  

3)For which job we can apply after this course

Answer– You can apply in medical coding jobs from CRO ,medical billing companies etc

5) Is this course is for freshers or experience people

Answer– This course is ideally created for freshers and early level experience student

6) Can i get help for placement after this course

Answer– We will help to prepare for interview and also work on soft skills so that you can give your best during actual interview

7) can I access this class from mobile also?

Answer-Yes you can

100% Placement

Thank You

Hope you all are doing well

Happy to announce our ‘1 months certification course in Pharmaceutical export business management’

To know more fill this google form

https://docs.google.com/forms/d/e/1FAIpQLSdjHVPYLRwRsAT3aFYdMQ5bAGYXvWSZL067U-_qOVxDIek9hA/viewform?usp=header

or

call us at 9423272876
Course schedule
Batch will start from 10 November 2025
Time – 7pm to 9pm
Mode- Online
Duration -1 month
Days – Monday to saturday

Syllabus covered
Class 1
The World of Pharma Export & Import
Topics
-Indian Pharmaceutical Export / Import overview
-Opportunities & Challenges for a new

Class 2
Requirements for a successful Exporter
Topics
Mindset development

Class 3
Types of Export
Topics
-Manufacturing and merchant export

Class4
Types of Market
Topics
Classification of Market
-Entry Bariers

Class 5
Zones of exports and Products
Topics
-Classification of Export Zone
-Predominant Products in different zone

Class 6
Expertise
Topics
-Skills & Basic knowledge for export business
-Skills of Closing Business deal

Class 7
Market Research 1
Topics
-Selection of Countries
-Competitor Analysis

Class 8
Market Research 2
Topics
-Entry Bariers / Country Specific Policies
-Government Collaboration

Class 9
Market Research 3
Topics
-Export Agencies in India
-Distributors / Marketiers of the export country (website)

Class 10
Market Research 4
Topics
-Banned molecules
-Import category of products
Registration process of -Company & Product

Class 11
Market Research 5
Topics
-Geo-Political stability (Entry Risk)
-Government Initiatives with countries

Class 12
-Profiling of the company
Topics
-Build the company profile ( website) and products

Class 13
Importer selection 1
Topics
-How to find the right buyer
-Role of Embassies in buyer selection

Class 14
Importer selection 2
Topics
-Allignment with the laws
of the importing country
-B2B model , B2C model

Class 15
Importer selection 3
Topics
-Direct Call method / Mail communication
-Participation in exhibition ( types of exhibition)

Class 16
Importer selection 4
Topics
-Country Visit ( Things to know & do )
-Process of Shipment ( details of Port of Disembarkment)

Class 17
Logistic Management & Payment
Topics
-Shipping Logistics
-Payment terms / days
-FOB , CIF , CIP
-Document against (DA)
-Airway Bill / Certifications
-Inco Terms
-Distribution Marketing Supply Agreement
-Letter of Credit (LC)
-CHA
-HS Code

Class 18
Types of Licenses
Topics
-Manufacturing License, -Business License, Exp Lic
-Import License
-Market Agreement (MA)

Class 19
Credentials
-US FDA
-EU GMP
-ANVISA
-ENVIMA etc
-Country Specific requirements, Pharmacopial adherence

Class 20
Audit Report
Topics
-Factory Visit / Facility Visit
-Mandatory / Non Mandatory requirements (Country Specific)

Class 21
Registration Process
Topics
-Product Registration (DMF / CEP) (BE study / BW)
-Company / Factory Registration (Cost & Process)

Class 22
Dossier classification
Topics
Module 1-5

Class 23
Banking Process
Topics
-Role of Banking
-Selection of Bank
-Different Incoterms in Export , -Types of Payment
-Export Insurance
-Govt Benefits
-LC ( explanation )

Class 24
How to export
Topics
-Middle East
-Asian
-Europe
-USA
-Africa
-CIS
-LATAM
-GCC
-MENA

Course benefits

-Expert learning
-Free basic consultation
-Buyers list
-certification
-Learn from scratch

How to enrol
Fees – 9999/-
Link to enroll
https://rzp.io/rzp/f22N3Nt
OR you can pay online to 9423272876

For academy student who purchase our ‘Digital course on Pharma export’ Fees will be 8999/-
For them to enroll directly pay online to 9423272876

Once fees paid kindly share your details such as Name, Email, Payment screenshot to 9423272876 via whatsup

we are also available on mobile application..download from following links to get in touch with us
Here are links android link https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link https://apps.apple.com/in/app/classplus/id132452226
Web link Web.classplusapp.com Org code – unhsuc

Thank you

Today we are going to discuss all about the air tools which are used in the medical coding process
Natural Language Processing (NLP) tools
NLP tools like the abovementioned 3M 360 Encompass System automatically translate dictated physician notes and other medical documentation into standardized codes.
While they may increase efficiency, medical coders need to carefully review the output of these technologies—especially for complex medical cases or combination codes.
Electronic Health Records (EHR) systems
EHR systems digitally store and manage patient health information—including diagnoses, treatments and medical histories. Medical coders access these records to extract the information they need to assign the right codes.
EHR systems like Epic and Cerner (which was acquired by Oracle in 2022) are often used in larger healthcare institutions like hospitals. They offer a truly comprehensive view of patient care.
In future, there might be more tools which will be available in artificial intelligence which will be used in medical coding. So I suggest all of you to become updated according to the requirement of the industry which tools are preferable and accordingly update yourself.

We wish all the best, thank you

For More information about the certification course kindly call us  on 9322341947

If you want know about us then visit us on

Web link

www.globalpharmaacademy.com

We are also available on mobile application…download from following links to get in touch with us

Here are link

https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link

https://apps.apple.com/in/app/classplus/id1

Encoder software solutions are a one-stop shop for all the resources professional coders need to use. They also help medical billing and coding students gain the tools they need to excel in their future careers.
2)Computer-assisted coding (CAC) software
CAC software analyses clinical documents and suggests medical codes based on the relevant data. While this automates some aspects of coding, medical coders still need to review the accuracy of the recommended codes.
TruCode by Trubridge is an example of CAC software—and the 3M 360 Encompass System also uses CAC. These solutions suggest unique codes based on patient documentation, but they are no substitute for a human medical coder.
3)Virtual private networks (VPNs)
Many people are familiar with VPNs, but not everyone knows the role they play in the medical field. VPNs let medical billers and coders securely access EHR systems and sensitive healthcare data from anywhere. This technology makes remote work possible in the medical billing and coding field.
Many hospitals, for example, use VPNs to allow coders to work from home without compromising the security of patient records.

For More information about the certification course kindly call us  on 9322341947

If you want know about us then visit us on

Web link

www.globalpharmaacademy.com

We are also available on mobile application…download from following links to get in touch with us

Here are link

https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link

https://apps.apple.com/in/app/classplus/id1

call us on 94232452226

thank you

Q. OPPORTUNITIES IN MEDICAL CODING
Medical coding offers diverse opportunities in various healthcare settings. Individuals can find roles in hospitals, clinics, insurance companies, and even remotely, working with different coding systems like ICD-10-CM and CPT codes. Career paths range from entry-level positions like Medical Coding Trainee and Associate to more advanced roles such as Coding Manager, Auditor, and Director.
Now we discuss about the skill set required
Q. SKILL REQUIRED IN MEDICAL CODING ?
Strong knowledge of medical terminology, anatomy, and physiology, as well as proficiency in coding systems like ICD-10, CPT, and HCPCS.
Soft skills like attention to detail, analytical skills, communication, and time management are equally crucial for accuracy, effective communication, and meeting deadlines

For More information about the certification course kindly call us  on 9322341947

If you want know about us then visit us on

Web link

www.globalpharmaacademy.com

We are also available on mobile application…download from following links to get in touch with us

Here are link

https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link

https://apps.apple.com/in/app/classplus/id1

call us on  94232452226

Thank You

Hope you all are doing well,

Here we are going to discuss about the revolutionizing and Impact of clinical data management with AI

• Revolutionizing Clinical Data Management with AI

Clinical data is growing at an exponential rate richer, more complex, and more vital than ever. Traditional methods of managing it are being stretched thin. That’s where the convergence of AI, machine learning (ML), deep learning, and natural language processing (NLP) comes in and it’s changing everything.

Here’s how these technologies are making an impact:

Faster Data Cleaning & Validation:
AI and ML algorithms can detect inconsistencies, anomalies, and missing values with greater accuracy—cutting down manual review time drastically.

Intelligent Data Extraction:
NLP is making it easier to extract structured data from unstructured clinical notes, trial reports, and EMRs—reducing human error and increasing the value of previously untapped data.

Real-Time Monitoring & Decision Support:
Deep learning models are being used to monitor patient data in real-time during trials, offering early warnings and insights that help prevent adverse events and protocol deviations.

Improved Protocol Design:
By analyzing historical trial data and outcomes, ML helps design better protocols—streamlining recruitment and improving trial success rates.

Enhanced Regulatory Compliance:
AI-powered tools assist in auto-generating audit trails, ensuring traceability and aligning with complex global regulations.

Future Directions:
Predictive Analytics for Personalized Trials: As datasets grow richer, AI will tailor trials to individual patient profiles, boosting efficacy and retention.

Federated Learning for Data Privacy: Collaborative model training across institutions—without sharing raw data—will improve insights while maintaining compliance.

Voice Recognition and Conversational AI: Integrating speech-to-text NLP into clinician workflows will speed up documentation and reduce administrative burdens.

Explainable AI (XAI): Future tools will emphasize transparency, helping stakeholders understand why a model made a specific decision—critical for regulatory acceptance.

Clinical Data Management (CDM) is the backbone of successful clinical trials, ensuring high-quality, reliable data for regulatory submission. With AI advancing rapidly, each step in the CDM process is poised for transformation.

Study Design & Protocol Development

Current: Manual planning with input from various stakeholders.
AI Impact: Predictive modeling and historical trial analysis can optimize study protocols for better patient outcomes and reduced risks.

CRF (Case Report Form) Design

Current: Manual design based on protocol.
AI Impact: AI can auto-suggest CRF fields based on protocol text, improving consistency and reducing errors.

Data Collection (EDC Systems)

Current: Data entry via electronic systems by sites.
AI Impact: NLP and image recognition enable automatic data extraction from scanned documents or physician notes, reducing site burden.

Data Validation & Cleaning

Current: Manual query generation and data checks.
AI Impact: ML algorithms can flag anomalies and inconsistencies faster and more accurately, reducing cycle times.

Medical Coding (e.g., MedDRA, WHO-DD)

Current: Coders match verbatim terms to standardized dictionaries.
AI Impact: AI-driven auto-coding tools enhance speed and consistency, especially with natural language processing.

SAE Reconciliation

Current: Manual comparison of SAE data between safety and clinical databases.
AI Impact: AI can automate cross-system reconciliation with high accuracy, minimizing discrepancies.

Data Review & Ongoing Data Management

Current: Periodic manual reviews.
AI Impact: Continuous, real-time monitoring using AI reduces lag and allows quicker responses to data trends.

Database Lock & Archival

Current: Final quality checks before locking the database.
AI Impact: AI can predict readiness for lock and identify outstanding issues early, streamlining final QC.

Conclusion:
AI is not replacing CDM professionals it’s empowering them. By automating routine tasks and enhancing data insights, AI enables faster, more accurate clinical trials. The future of clinical data is intelligent, agile, and quality-driven.

The integration of AI, ML, deep learning, and NLP into clinical data management isn’t just a trend—it’s a paradigm shift. These technologies are moving us from data overload to actionable insight, from delays to proactive decisions, and from isolated systems to truly intelligent ecosystems. For clinical researchers, sponsors, and regulators, the challenge now is not whether to adopt AI but how fast they can scale it responsibly.

Follow Amit kumar Mane for more such insightful Updates

#ClinicalDataManagement #AIinHealthcare #ClinicalTrials #DataQuality #LifeSciences #DigitalTransformation #HealthTech

For More information about the certification course kindly call us  on 9322341947

If you want know about us then visit us on

Web link

www.globalpharmaacademy.com

We are also available on mobile application…download from following links to get in touch with us

Here are link

https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link

https://apps.apple.com/in/app/classplus/id132452226

THANK YOU.

A MEGA PLACEMENT DRIVE for Pharmacy Graduates is being organized by the GLOBAL PHARMA ACADEMY PUNE in association with Serio health Pune.

Mega placement drive conducted on 26 may 2025 from 2 pm to 3 pm at official address of GLOBAL PHARMA ACADEMY which is Official Address- GLOBAL PHARMA ACADEMY ,Flat No 1 ,Lake view apartment ,Model Colony In front of Ambessodor Hotel FC road Pune.

The position is for medical sales representative and area business manager.
Vacancy for sales representative is open for chh .Sambhajinagar , solapur and Kolhapur in Maharashtra and expected student qualification should be d.pharmacy and b.pharmacy freshers can be consider.

The second position is for the area sales manager which needed good experience in the Pharma sales and location for the area manager is Pune. To get join in the pool campus drive kindly call and contact us scan QR code and fill the google form given in the image.

Contact Information : 9423272876

Hope You all are doing well ,

Today we are going to discuss about the AI and Automation in Pharmacovigilance: Transforming Drug Safety Monitoring

In the ever-evolving landscape of healthcare, the integration of Artificial Intelligence (AI) and automation into pharmacovigilance is revolutionizing how we monitor drug safety. As we strive to ensure patient safety and drug efficacy, AI is stepping in to streamline processes, enhance data analysis, and ultimately improve patient outcomes. Let’s explore how AI works in pharmacovigilance step by step!

1. Data Collection
The first step in pharmacovigilance is the collection of data related to adverse drug reactions (ADRs). Traditionally, this involved manual reporting from healthcare professionals and patients. With AI, we can automate data collection through:

Natural Language Processing (NLP): AI algorithms can analyze unstructured data from various sources, including social media, electronic health records, and clinical trial reports, to identify potential ADRs.
Wearable Devices: Data from wearables can be monitored in real-time, providing immediate insights into patient reactions to medications.

2. Data Processing and Integration
Once data is collected, it needs to be processed and integrated into a centralized system. AI facilitates this by:

Data Cleaning: AI algorithms can identify and rectify inconsistencies in the data, ensuring accuracy.
Integration: AI systems can seamlessly integrate data from multiple sources, creating a comprehensive view of drug safety.

3. Signal Detection
Signal detection is crucial in pharmacovigilance, as it helps identify potential safety issues. AI enhances this process through:

Machine Learning Algorithms: These algorithms can analyze vast datasets to detect patterns and anomalies that may indicate safety concerns.
Predictive Analytics: AI can predict potential ADRs based on historical data, allowing for proactive measures to be taken.

4. Risk Assessment
Once signals are detected, the next step is risk assessment. AI aids in this process by:

Automated Risk Scoring: AI can assign risk scores to different drugs based on the severity and frequency of reported ADRs.
Scenario Analysis: AI can simulate various scenarios to assess the potential impact of a drug on patient safety.

5. Reporting and Compliance
Compliance with regulatory requirements is essential in pharmacovigilance. AI streamlines reporting by:

Automated Reporting Tools: AI can generate reports automatically, ensuring timely submission to regulatory authorities.
Real-time Monitoring: Continuous monitoring of drug safety allows for immediate reporting of new findings.

6. Continuous Learning and Improvement
AI systems are designed to learn and improve over time. This continuous learning process involves:

Feedback Loops: AI can incorporate feedback from healthcare professionals and patients to refine its algorithms.
Adaptive Learning: As new data becomes available, AI systems can adapt their models to enhance accuracy and reliability.

Future directions of Artificial Intelligence and Machine Learning

In the future of AI and machine learning (ML), personalized medicine and genomics are expected to play a pivotal role in transforming healthcare. AI algorithms can now process vast amounts of genomic data, enabling the identification of genetic variations associated with diseases. By integrating this data with electronic health records and real-time patient information, AI models can generate highly individualized treatment plans. This is especially impactful in fields like oncology, where precision therapies can be tailored to a person’s genetic makeup, improving treatment outcomes and minimizing side effects.

Machine learning enhances the ability to detect patterns in genomic data that humans might miss, such as rare mutations or gene-environment interactions. AI-driven platforms can also predict how a patient will respond to specific drugs based on their genetic profile, leading to more effective and safer prescriptions.

As AI continues to evolve, its integration with genomics is expected to expand, leading to faster drug discovery, early disease prediction, and preventive care strategies. With advancements in federated learning and data privacy techniques, large-scale sharing of sensitive genomic data becomes feasible without compromising patient confidentiality. This direction signifies a shift toward proactive, precise, and personalized healthcare, powered by intelligent data analysis.

Conclusion
The introduction of AI and automation in pharmacovigilance is not just a technological advancement; it is a paradigm shift that enhances our ability to ensure drug safety. By leveraging AI, we can improve the efficiency of pharmacovigilance processes, reduce the burden on healthcare professionals, and ultimately safeguard patient health.

As we move forward, it’s essential for stakeholders in the pharmaceutical industry to embrace these innovations and collaborate to create a safer healthcare environment.

Let’s connect and discuss how AI is shaping the future of pharmacovigilance!

#Pharmacovigilance #AIinHealthcare #DrugSafety #Automation #MachineLearning #PatientSafety #HealthcareInnovation #PharmaceuticalIndustry #DataScience #NLP #RiskManagement #AdverseDrugReactions #FutureOfHealthcare

Follow Global Pharma Academy for more such insightful Updates

For More information about the certification course kindly call us  on 9322341947

If you want know about us then visit us on

Web link

www.globalpharmaacademy.com

We are also available on mobile application…download from following links to get in touch with us

Here are link

https://play.google.com/store/apps/details?id=co.learnol.bnocb&pli=1

IOS link

https://apps.apple.com/in/app/classplus/id132452226

THANK YOU.

Student feedback

I have completed 3 month pharmacovigilance course from global pharma academy. A heartfelt thank you to Global Pharma Academy for an excellent Pharmacovigilance training experience and placement support. The course content, expert guidance, and hands-on approach have greatly enriched my understanding of the field also the faculty’s expertise made the learning experience impactful which help to placed in parexel