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anamnesis.ai

An AI-driven anamnesis collection system in the healthcare domain. The system will leverage the capabilities of FHIR (Fast Healthcare Interoperability Resources), the ChatGPT API, Flask (a micro web framework written in Python), and SQLite (a lightweight database) to facilitate an interactive, user-friendly platform for collecting patient medical history (anamnesis) through conversational AI.

License: BSD 3 Clause
Documentation: https://osl-incubator.github.io/anamnesisai

Metadata

Release files for anamnesisai 0.4.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for anamnesisai 0.4.0
File	Size	Uploaded
anamnesisai-0.4.0.tar.gz	7.8 kB	Sep 5, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for anamnesisai 0.4.0
File	Interpreter	ABI	Platform	Reset
anamnesisai-0.4.0-py3-none-any.whl 11.7 kB Sep 5, 2025	Python 3	none	any	Details

Total release size: 19.4 kB

Release files / anamnesisai-0.4.0.tar.gz

Download URL	anamnesisai-0.4.0.tar.gz
Size	7.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`8a837bd4f0e75c52a7ceafbaca6fb6ddc8479daf381c847b13e999e0969e67a6`
BLAKE2b-256 checksum How to use checksums	`49d79caf998bfed946aeccab186e7401e37c40be7895a81862f74a8e89b8c9fd`
Upload date	Sep 5, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/2.1.4 CPython/3.11.13 Linux/6.11.0-1018-azure`

Release files / anamnesisai-0.4.0-py3-none-any.whl

Download URL	anamnesisai-0.4.0-py3-none-any.whl
Size	11.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8305de2ee572a1825679787c976243a14e43fde7c77974edfafa049657440531`
BLAKE2b-256 checksum How to use checksums	`1f664ed56a2890f5a2b1ac421ae8b37723579a5a5144a39941e6d571204a16a0`
Upload date	Sep 5, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/2.1.4 CPython/3.11.13 Linux/6.11.0-1018-azure`