FHIRed MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients.

Dataset presented in the article "MOTU on FHIR: A 10-year data collection on the clinical rehabilitation pathway of 1006 trans-femoral amputees". Data has been anonymised prior the publication. The data has been standardized in Fast Healthcare Interoperability Resources (FHIR) data standard.  This work has been conducted within the framework of the MOTU++ project (PR19-PAI-P2). This research was co-funded by the Complementary National Plan PNC-I.1 "Research initiatives for innovative technologies and pathways in the health and welfare sector” D.D. 931 of 06/06/2022, DARE - DigitAl lifelong pRevEntion initiative, code PNC0000002, CUP: (B53C22006450001) and by the Italian National Institute for Insurance against Accidents at Work (INAIL) within the MOTU++ project (PR19-PAI-P2). Authors express their gratitude to all the AlmaHealthDB Team. Instruction MOTU-to-FHIR Importer The repository includes a Docker Compose setup for importing the MOTU dataset into a HAPI FHIR server, formatted as NDJSON following the HL7 FHIR R4 standards. Prerequisites Before you begin, ensure you have the following installed: Docker Docker Compose Python >=3.7  Requests Python Library How to run First, unzip the dataset directory containing the NDJSON files. Open a terminal or command prompt in the root directory of this repository. Run the command docker-compose up in the terminal to start the Docker containers. Once the containers are up and running, open another terminal window in the root directory of this repository. Run the command python main.py in the terminal to start the data import process. After the import process is complete, you can access the HAPI FHIR server by opening a web browser and navigating to http://localhost:8082.  本数据集来自论文《MOTU on FHIR：1006例经股截肢患者临床康复路径的十年数据集合》。 数据集在发表前已完成匿名化处理。本数据集已遵循医疗健康互联互通资源（Fast Healthcare Interoperability Resources, FHIR）标准进行规范化处理。 本研究依托MOTU++项目（PR19-PAI-P2）框架开展。 本研究由国家补充计划PNC-I.1《健康与福利领域创新技术与路径研究倡议》（2022年6月6日第931号部长令）、DARE——数字化终身预防倡议（项目编码PNC0000002，CUP编号：B53C22006450001），以及意大利国家工伤保险机构（Italian National Institute for Insurance against Accidents at Work, INAIL）依托MOTU++项目（PR19-PAI-P2）联合资助。 作者谨向AlmaHealthDB团队全体成员致以诚挚谢意。 MOTU转FHIR数据导入工具说明 本代码仓库包含用于将MOTU数据集导入HAPI FHIR服务器的Docker Compose配置，数据采用遵循HL7 FHIR R4标准的NDJSON格式进行组织。 前置依赖 使用前请确保已安装以下依赖： Docker Docker Compose Python 3.7及以上版本 Python Requests库 运行步骤 1. 解压包含NDJSON文件的数据集目录； 2. 在本代码仓库的根目录打开终端或命令提示符； 3. 在终端中执行`docker-compose up`命令以启动Docker容器； 4. 待容器成功启动后，在本仓库根目录打开另一个终端窗口； 5. 在终端中执行`python main.py`命令以启动数据导入流程； 6. 导入完成后，可通过浏览器访问地址http://localhost:8082以进入HAPI FHIR服务器。