An Interoperable HL7 FHIR-based Medical Device Data System (MDDS) For Accessing And Integrating Live Point-Of-Care Data From High-Acuity Bedside Patient Monitoring Equipment

基于 HL7 FHIR 的可互操作医疗设备数据系统 (MDDS)，用于访问和集成来自高敏锐度床边患者监护设备的实时护理点数据

• 批准号: 10353084
• 负责人: John Paul Osborne
• 金额: $ 4.1万
• 依托单位: MEDICOLLECTOR, LLC
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-11 至 2022-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10353084
• 关键词: Artificial Intelligence; Biomedical Engineering; Clinical; Clinical Data; Clinical Research; Complex; Computer software; Computerized Medical Record; Critical Care; Data; Devices; Elements; Equipment; Fast Healthcare Interoperability Resources; Frequencies; Goals; Healthcare; Hospitals; Hour; Information Systems; Left; Location; Machine Learning; Manuals; Medical Device; Medicine; Patient Monitoring; Patients; Physiological; Process; Protocols documentation; Publishing; Records; Research; Research Personnel; Resources; Signal Transduction; Standardization; System; Time; Translating; Vendor; application programming interface; base; clinical care; data access; data exchange; design; encryption; improved; intelligent algorithm; interest; interoperability; novel; point of care; smartphone Application; tool

Abstract The overall goal of this proposal is to combine expertise and approaches from biomedical engineering and critical care medicine to design a universal system to acquire, record and transmit physiological signals from bedside monitored patients. Patient monitors generate over a million datapoints of information per hour, however, only a tiny fraction of those data are transmitted or recorded. In order to improve data exchange in healthcare, the Fast Healthcare Interoperability Resources (FHIR) standard was published in 2014. However, it has yet to make a significant impact on Medical Device Integration (MDI), which is the process of automating the flow of clinical data from bedside medical devices, such as patient monitors, to external systems such as Electronic Medical Records (EMR). Also, MDI is a complex task because data from these devices are high-frequency and high- volume and because most devices use proprietary protocols and outdated interfaces such as serial cables. Hospitals and researchers have therefore been left with few options except to use expensive and vendor-specific MDI solutions to access these data or to use manual data entry into the patient EMR, which leads to data entry errors, late entry of data, and lost time for clinical care. Manual data entry only captures a tiny fraction of the available data, and with increased research interest in Artificial Intelligence (AI) and Machine Learning, there is a growing need for a standardized way to access the vast amounts of data from bedside devices. This project will develop a vendor-neutral software-based Medical Device Data System (MDDS) that acquires and records data from bedside devices across a hospital network and makes live data available to 3rd party systems using a FHIR application programming interface (API). The proposed proof-of-concept will consist of three elements: [i] a transmitter which encrypts and transmits patient signals across the network, [ii] an aggregator which receives, translates and records the signals to a central location, and [iii] a FHIR Server with API for allowing external systems to access live data as FHIR resources. This proposal seeks to create a novel design that will overcome a critical barrier in healthcare, medicine and research. The proposed MDDS will be valuable to hospitals, clinicians, researchers and app developers because it makes data accessible which were previously only available to clinicians at the bedside in real-time.

抽象的 该提案的总体目标是结合生物医学工程和关键的专业知识和方法 护理医学设计通用系统，以获取，记录和传输床边的生理信号 监测的患者。患者监视每小时产生超过一百万个数据点的信息，但是，只有一个 这些数据的一小部分是传输或记录的。为了改善医疗保健的数据交换，快速 医疗保健互操作性资源（FHIR）标准于2014年发布。但是，它尚未做出 对医疗设备集成（MDI）的重大影响，这是自动化临床流动的过程 从床头医疗设备（例如患者监视器）到外部系统（例如电子医疗）的数据 记录（EMR）。同样，MDI是一项复杂的任务，因为这些设备的数据是高频和高的 音量以及大多数设备都使用专有协议和过时的接口，例如串行电缆。 因此 MDI解决方案以访问这些数据或将手动数据输入到患者EMR中，这导致数据输入 错误，数据迟到以及临床护理的时间损失。手动数据输入仅捕获一小部分 可用的数据，并且对人工智能（AI）和机器学习的研究兴趣增加，有 越来越需要一种标准化方法来访问床头设备的大量数据。这个项目 将开发基于供应商中立的基于软件的医疗设备数据系统（MDDS），该数据系统获取和记录 来自医院网络的床头设备的数据，并使用 FHIR应用程序编程接口（API）。拟议的概念验证将由三个要素组成： [i]一种发射器，该发射器加密和传输整个网络的患者信号，[ii]一个聚合器 接收，翻译和记录信号到中心位置，[iii]带有API的FHIR服务器 外部系统作为FHIR资源访问实时数据。该建议旨在创建一种新颖的设计 克服医疗保健，医学和研究的关键障碍。拟议的MDD对 医院，临床医生，研究人员和应用程序开发人员，因为它使数据可访问，以前是 仅可实时可在床边的临床医生使用。