I-Corps: Assessing Market Opportunities for an Automated Clinical Documentation Service with Data Capture Designed for Secondary Use

这个I-Corps项目的更广泛的影响和商业潜力是使医生更有效率，提高病人护理质量。 潜在的短期社会和商业影响包括改善医生的生活质量，提高医生诊治更多患者的能力，以及提高医生关注患者的能力，从而提高医疗保健服务的质量。 医生每天花一半以上的时间使用电子健康记录系统，通常在一天结束时还要花1.5小时在临床文档上。 从长远来看，潜在的社会和商业影响是提高护理质量，因为这项工作开发了一个学习健康系统，该技术可以从每个患者的护理中学习，以告知未来患者的护理。 该I-Corps过程将揭示预期产品在使医生更有效率和提高跨细分市场的患者护理质量方面可以提供的价值（即，临床专业，护理提供方法），以及更好地了解跨部门的关键机遇，挑战和利益相关者。 所提出的技术以结构化格式捕获临床文档，可供机器学习算法使用，以便通过减少文档负担来提高医生的效率。 此外，这些数据集可用于支持卫生系统的各种需求，包括质量改进、临床研究、运营效率和计费支持。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact and commercial potential of this I-Corps project is to make physicians more efficient and improve the quality of patient care. Potential short term societal and commercial impact includes improved quality of life for physicians, increased capacity for physicians to see more patients, and greater ability for physician to focus on the patient thereby enhancing the quality of healthcare service delivery. Physicians spend over half their day working with electronic health record systems and typically spend an additional 1.5 hours on clinical documentation at the end of their day. In the long term, the potential societal and commercial impact is improved quality of care as this work develops a learning health system where the technology can learn from the care of each patient to inform the care of future patients. This I-Corps process will reveal the value that the intended product can deliver in making physicians more efficient and improving the quality of patient care across market segments (i.e., clinical specialty, care delivery method) as well as better understand the key opportunities, challenges, and stakeholders across segments. The proposed technology captures clinical documentation in a structured format ready to be utilized by machine learning algorithms in order to enhance physician efficiency by reducing the documentation burden. Additionally, the datasets can be used to support various needs of health systems including quality improvement, clinical research, operational efficiency, and billing support.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.