five

Comprehensive Psychiatry Medical Records Dataset

收藏
Snowflake2024-10-04 更新2024-10-05 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZT1Z1X6UGK
下载链接
链接失效反馈
官方服务:
资源简介:
**Key Highlights** - **Total Character Count:** 306,051 (In Sample dataset) - **Specialties Covered:** The dataset captures multiple aspects of psychiatric care, including outpatient follow-ups, consultations, discharge planning, and progress notes, which are vital for assessing treatment efficacy and continuity of care. - **Geographical Coverage:** Data is sourced from various locations across the US, highlighting diverse psychiatric practices. - **Physician Age Groups:** The dataset includes documentation from a range of practitioners, providing a broad perspective on psychiatric care. **Privacy:** All documents are anonymized, with personally identifiable information (PII) redacted in compliance with HIPAA and Safe Harbor Guidelines, ensuring ethical use of the data. **General Overview** This Psychiatry dataset encompasses a variety of medical documents crucial for managing mental health care. The dataset includes the following document types: - **Outpatient Follow-up Note** (251 documents, 179,693 characters) - **Discharge Planning** (101 documents, 33,514 characters) - **Consultation** (78 documents, 94,754 characters) - **History and Physical** (43 documents, 39,996 characters) - **Progress** (36 documents, 16,950 characters) - **Other (Specify type)** (15 documents, 13,658 characters) - **Discharge Summary** (4 documents, 3,207 characters) - **Nursing** (3 documents, 3,215 characters) - **Other (Specify type) / Under Report Type** (1 document, 379 characters) This dataset provides comprehensive insights into the mental health management process, reflecting various interactions between patients and healthcare providers. <p><br/></p>
提供机构:
Shaip AI Data
创建时间:
2024-09-30
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该精神病学医疗记录数据集包含美国多地区的匿名化诊疗文档,涵盖门诊随访、出院计划等8种记录类型,总计306,051字符。数据符合HIPAA隐私标准,完整呈现了心理健康管理的诊疗全流程。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作