pandalla/datatager_clinical_question_enhancement

---
license: apache-2.0
---

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# Clinical Question Enhancement Dataset

## Prompt for Training
When training your model with this dataset, prepend the following prompt to each input instance:

```
请对患者如下的咨询做详细分析，反问四到六个细节问题，要求患者补充详细信息，
```

## Description
AnyTaskTune is a publication by the DataTager team. We advocate for rapid training of large models suitable for specific business scenarios through task-specific fine-tuning. We have open-sourced several datasets across various domains such as legal, medical, education, and HR, and this dataset is one of them.

The Clinical Question Enhancement Dataset is a curated collection by DataTager aimed at improving patient-provider communication. This dataset helps identify gaps in patient inquiries and generates targeted questions that prompt patients to provide more detailed information about their conditions. By refining patient responses, this dataset assists doctors in quickly understanding and addressing patient issues more effectively.

## Usage

This dataset is an essential resource for developing AI tools that enhance the quality of information exchange in medical consultations. AI systems can use this dataset to prompt patients to elaborate on their symptoms, treatment history, and other relevant health information, thereby enabling healthcare professionals to make more informed decisions quickly. It also serves educational purposes by training medical students to recognize and inquire about critical details in patient interactions.

## Citation

Please cite this dataset in your work as follows:

```
@misc{ Extract Medical Information Dataset,
author = {DataTager},
title = {Extract Medical Information Dataset},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\url{https://github.com/PandaVT/DataTager}}
}
```