Voice Based, Workflow Enhancing, Primary Care Medical Data Input System

基于语音、增强工作流程的初级保健医疗数据输入系统

• 批准号: 7924457
• 负责人: Daniel Jay Riskin
• 金额: $ 24.19万
• 依托单位: VMT, INC.
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-15 至 2011-01-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7924457
• 关键词: Adopted; Adoption; Architecture; Businesses; Clinical; Clinical Data; Code; Computer Assisted; Computerized Medical Record; Data; Data Storage and Retrieval; Development; Disincentive; Effectiveness; Electronic Health Record; Evaluation; Genetic Transcription; Goals; Health; Health Care Costs; Healthcare; Hospitals; Industry; Information Systems; International; Interview; Legal patent; Marketing; Medical; Medical Records; Methods; Metric; Natural Language Processing; Output; Paper; Patient Care; Patients; Pediatric Surgical Procedures; Physicians; Physicians' Offices; Price; Primary Care Physician; Primary Health Care; Process; Public Health Practice; Records; Research; Research Project Grants; Services; Solutions; Source Code; Speech; Speed; Structure; System; Techniques; Technology; Testing; Text; Time; Universities; Voice; base; billing data; cost; design; flexibility; innovation; open source; portability; programs; public health relevance; satisfaction; speech recognition; usability

DESCRIPTION (provided by applicant): The adoption of electronic health records (EHR) in hospitals and physician offices has been widely promoted as a single solution to a wide variety of health care issues. Yet 84% of small and medium business (SMB) physician practices in the US have not adopted EHR systems. Interventional Dynamics Corporation (IDC) has conducted more than 200 primary care physician interviews, finding that the major disincentives to adoption are workflow delay and expense. The single greatest factor in the reduction of workflow speed is the data input process. IDC's proposed project has this specific aim: Utilize an innovative voice entry technique and open source code systems to develop a low-cost, automated solution to allow primary care physicians to complete a primary care note entirely during the patient examination process. The narrative speech input will be analyzed in a context-sensitive, domain-restricted manner to produce structured clinical data that can be readily integrated into standards-compliant electronic medical records. By using speech inputs that are converted directly to relevant EHR entries, physicians can increase the accuracy of their notes, eliminate third party transcription errors and avoid workflow delays. The project approach will include: Further testing and final development of DocTalk, the IDC patent pending speech system that allows accurate natural language processing of structured medical information; Development of a proof-of-concept data system that converts physician voice input from voice to text to structured text to EHR data using domain enhanced open source code; The evaluation of the effectiveness of the proof-of-concept system against traditional EHR input methods with the following goals: Achieve 50% or more reduction in charting time, achieve 90% or more accuracy in output, and score greater than 4 of 5 on subjective metrics including learnability, workflow fit, usability, and overall satisfaction. Successful completion of the proposed program will provide IDC with a viable technology platform that can immediately be useful to primary care physicians in generating structured documents for use with their current EHR platforms. Furthermore, the technology developed and refined within this program can be expanded in multiple ways. PUBLIC HEALTH RELEVANCE: The IDC technology is designed to circumvent the normal barriers to adoption in the SMB market and allow for quick increases in workflow and quality of patient care at a minimal price point. IDC will provide physicians who currently use pen and paper a more natural and faster way to input clinical data, eliminating time spent on hunt-and-peck keyboard entry or complicated EHR screen navigation. The system will generate structured clinical data that enables the exchange of health information, the portability of patient records, billing, data analytics (both local practice and public health), marketing, and other benefits, resulting in the reduction of overall healthcare costs.

描述（由申请人提供）：在医院和医师办公室中采用电子健康记录（EHR）已被广泛提升为各种医疗保健问题的一种解决方案。然而，美国有84％的中小型企业（SMB）医师实践尚未采用EHR系统。介入的动态公司（IDC）进行了200多次初级保健医师访谈，发现采用的主要抑制剂是工作流程延迟和费用。降低工作流程速度的最大因素是数据输入过程。 IDC提出的项目具有此特定目的：使用创新的语音输入技术和开源代码系统来开发低成本的自动化解决方案，以允许初级保健医生在患者检查过程中完全完成初级保健便条。叙事语音输入将以上下文敏感的，域限制的方式进行分析，以产生结构化的临床数据，这些数据可以很容易地集成到符合标准的电子病历中。通过使用直接转换为相关EHR条目的语音输入，医生可以提高音符的准确性，消除第三方转录错误并避免工作流程延迟。项目方法将包括： IDC专利申请语音系统的进一步测试和最终开发，允许精确的结构化医学信息处理；开发概念验证数据系统，该数据系统将医生语音输入从语音到文本转换为结构化文本，再使用域增强的开源代码来转换为结构化文本，再到EHR数据；评估概念验证系统对传统EHR输入方法的有效性，其目标有以下目标：在图表时间中缩短了50％或以上，在产出中获得90％或更高的准确性，并在5个中获得超过4分的主观指标，包括可学习性，工作流拟合度，可用性，可用性和整体满意度。拟议程序的成功完成将为IDC提供一个可行的技术平台，该平台可以立即对初级保健医生有用，以生成与当前EHR平台一起使用的结构化文档。此外，该计划中开发和完善的技术可以通过多种方式扩展。 公共卫生相关性：IDC技术旨在规避在SMB市场中采用的正常障碍，并可以快速提高工作流程和以最低价格的患者护理质量。 IDC将为目前使用笔和纸的医生一种更自然，更快的方法输入临床数据，从而消除了在狩猎和捕捉键盘进入或复杂的EHR屏幕导航上花费的时间。该系统将生成结构化的临床数据，以交换健康信息，患者记录的可移植性，计费，数据分析（当地实践和公共卫生），营销和其他收益，从而降低了整体医疗保健费用。