AI-Powered Prescription Digitization with ICD10 Mapping
About Project
Google partnered with EMed HealthTech for the development of an AI-based healthcare research product aimed at digitizing handwritten medical prescriptions. The project’s focus was to build an intelligent system that could recognize various handwriting styles and extract medicine brand names, strengths, and associated clinical data across different languages.
The challenge was not just recognizing text but also associating each medicine with its composition, linking those compositions with symptoms, and further mapping those symptoms using ICD10 codes for disease classification—crucial for building EMR/EHR systems and improving AI-based diagnosis models.
EMed HealthTech stepped in to provide high-quality, structured medical datasets by leveraging its internal medicine database and a team of medical coders. We delivered:
- A dataset that mapped medicine brand names to symptoms
- A sample dataset mapped with ICD10 codes to support clinical logic and research
This data served as a core component in training Google’s ML models and strengthening their upcoming healthcare technology initiatives.
Key Challenges
No structured dataset linking medicines, symptoms, and diseases.
Lack of ICD10-coded data for training ML models.
Difficulty in interpreting handwritten, multilingual prescriptions.
Solution
Google collaborated with EMed HealthTech to bridge the healthcare data gap by delivering structured medical information curated for AI training. The solution focused on creating foundational datasets to power clinical intelligence tools.
Supplied drug-to-symptom dataset curated in-house
Ensured medical accuracy with expert coders
Delivered ICD10-coded reference sample for mapping
Enabled AI training for prescription digitization
ICD10 Dataset Mapping
This dataset module included detailed mappings of symptoms to ICD10 codes and linked them with relevant drug compositions. It enabled AI systems to understand not just the medicines prescribed, but also the implied symptoms and diseases—laying a path for smarter clinical decisions.
Medicine-to-Symptom Relationship Dataset
A comprehensive dataset built by analyzing various brand names, compositions, and their clinical relevance. The dataset enabled Google’s system to match medicine names to symptoms and support the extraction of structured data from scanned handwritten prescriptions.
Our Process
We follow a structured and collaborative approach to healthcare software development, ensuring every project meets client needs.
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Discover
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Design
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Build
04
Deliver
We take an iterative approach to both our work, always looking for ways to improve what we do.
Client Case Study
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BCCI – Telemedicine App for Sports/Athlete
Customer Stories
Discover how our healthcare software solutions have transformed operations and improved patient care for our clients.

Roshan Deshmukh
Medbox Your Own Pharmacy
Within 5 days, I have started my “Online Pharmacy” to expand business in entire India with EMedStore team.

Jiten Yadav
Dawa Online Pharmacy has implemented an online pharmacy platform from EMed HealthTech. Get to know about their experience in this video.

Karan Jadwani
Dawa Online
Customer Stories
Discover how our healthcare software solutions have transformed operations and improved patient care for our clients.
I’m from Pharmashop and I want to tell you about the great services we got from EMedStore. If you want a good website with a compatible app that comes with it, look no further, but turn to EMedStore.

Dr. John
Pharmashop
EMedStore helps me to make my business cashless and get new orders easily even in my small town.

Rajat Khanna
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Rahul Tulsyan
KauveryMeds
Best online pharmacy developer at affordable price happy with EMedStore. Easy to use, gaining more customers day by day.

Rupendra Singh Tomar

Ajay Dhondi
Dhondi Medical
Within 5 days, I have started my “Online Pharmacy” to expand business in entire India with EMedStore team.

Jiten Yadav

Devshree Sahu
Dawapanni
EMed Team understood the Domain, transformed the requirement technically on time within my budget, and developed easy to operate & user-friendly online platform.

Fysal Abdulla

Mr Shreejith
Generix Pharmacy
We’ve had a wonderful experience working with EMedStore. They are extremely responsive and did a great job with the app development.

Aliya Ali Shaikha

Roshan Deshmukh
Medbox Your Own Pharmacy
MediXpress Pharmacy has implemented an online pharmacy platform from EMed HealthTech. Get to know about their experience in this video.

Soumyadeep Purkayastha
MediXpress
Dawa Online Pharmacy has implemented an online pharmacy platform from EMed HealthTech. Get to know about their experience in this video.

Karan Jadwani
Dawa Online
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