Researchers can search the community data, that has been uploaded by IIITD or some authorized admins for AI driven solutions in healthcare.
Interoperability for the patient data with the consent can be done via NDHM APIs.
01 Patient specific data sharing
Patient specific data sharing with the consent from patients and hospital via NDHM servers.
02 Patient data for wider audience
For researchers and doctors data can be used to make effictive models.
03 One stop solution for medical data
Historical data of patients, hospital and from other reseacher can be viewed and download here.
A step-by-step guide to navigate through the platform along with screenshots and description is given on the documentation below.
Api Client & Documentation
A detailed documentation for all APIs of the platform is given in the link below.
Organize your research data
Create a project to store your research data and related files
Explore and collaborate
Explore other datasets and collaborate in other projects
Share your work with others
Share your data with others and constibute in healthcare research
High quality dataset for studies
You will work on approved and high quality data from hospital and other reseacher.
With the following team we are able to build the IFHP portal
MBBS, PhD,Assistant Professor CB, Founding Head at Center of Excellence in Healthcare, IIIT-Delhi
ProfGiri DeanGiri @IIITDelhi Visiting IIT Kanpur Adjunct IIIT Hyderabad ACM India Council Member, TEDx
Dr. V. Raghava MutharajuMentor
Assistant Professor (CSE) PhD (2016), Wright State University, Dayton, OH, USA
Frequently Asked Questions
Which database is used and which collection is used for AI models?
The database used for the AI models is "AI" and the collection used is "Models".
Are all the models saved in the same Collection?
Yes, as of now, every model that is been uploaded by any user, is uploaded in the same collection in the same database.
Where does the description of the AI models are stored?
The description of all the AI models is stored in the "AIMetaData" database and the collection is "MetaData".
How to distinguish between models uploaded by different users?
Since, all the models are saved in the same collection, to distinguish between them, the filename that is being stored is of the form username_modelFilename, so that would help to differentiate between models uploaded by different users.
Who can download the models and uploads them?
Any registered user would be able to upload and download the AI models.
Can the community datasets be uploaded by any user?
No, currently only the IIITD faculties can upload the datasets by going to the URL https://federatedhealthplatform.tavlab.iiitd.edu.in/projects, this is currently not based on role-based access, which could be worked on in the future.
Can the datasets be downloaded if the hospital has not approved?
No, it can't be downloaded, it's a 2 level consent, first, the sender hospital has to approve the data exchange process, following which a consent notification is sent to the patient. Once the patient provides their consent, the requesting hospital can download the data.
Safety of the Patient Level Data
The core encryption logic involves an asymmetric encryption architecture and a GCM block cipher with AES encryption. The Encryption/Decryption Module is implemented as prescribed by NDHM using a Java Library called bouncycastle. So, the Data Exchange happens in a safe and secure manner.
For suggestion, doubt or any other problem related to the IFHP portal you can contact us via form below then we will contact you back.
IIIT Delhi, Okhla Industrial Estate, New Delhi 110020