I-Corps: Novel File Exchange Software Platform to Increase Patient Volume and Hospital System Efficiency

I-Corps项目更广泛的影响/商业潜力是开发转诊处理软件，在不影响病人数量的情况下提高医院系统的工作效率。新患者预约是重要的医疗绩效指标，因为它们是重要的收入来源，对所有医疗系统的战略增长至关重要。据估计，推荐市场每年的规模为23亿美元。在美国，每年每3名患者中就有1人被转介去看专家。然而，多达50%的患者转介从未完成-导致估计每年损失3700亿美元的收入。I-Corps项目的基础是开发一个处理患者转介的软件平台，以提供一个更透明的闭环解决方案，以便在两个不同的医院系统之间交换医疗文件。拟议的技术使用机器学习算法为医院领导层提供数据分析和对运营效率的洞察。此外，此信息还可用于提供实践和行为建议，以满足机构定义的绩效指标。通过这样做，拟议的技术解决了导致新患者排班延迟的主要原因，并增加了医疗保健系统的收入。它还可以减少患者护理的延误，避免因医疗记录不完整而重复不必要的程序和测试。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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/commercial potential of this I-Corps project is the development of referral processing software to increase hospital system workflow efficiency without compromising patient volume. New patient appointments are important healthcare performance metrics because they are a significant revenue source and critical for strategic growth for all healthcare systems. The referral market is estimated at 2.3 billion dollars annually. In the United States, 1 out of 3 patients are referred to see a specialist every year. However, as many as 50% of these patient referrals are never completed – resulting in an estimated annual loss of $370 billion in revenue. This I-Corps project is based on the development of a software platform to process patient referrals to provide a more transparent closed-loop solution towards exchanging medical documents between two different hospital systems. The proposed technology employs machine learning algorithms to provide data analytics and insight into operational efficiency for hospital leadership. In addition, this information may be used to provide practice and behavioral recommendations to meet performance metrics defined by the institution. In doing so, the proposed technology addresses the major contributor to new patient scheduling delays and increases revenue for healthcare systems. It also may decrease delays in patient care and avoid repeating unneeded procedures and tests because of incomplete medical records.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.