Using Design Thinking to Understand the Reason for Headache Referrals and Reduce Referral Rates.

IF 2.3 Q3 CLINICAL NEUROLOGY

Neurology. Clinical practice Pub Date : 2024-12-01 Epub Date: 2024-08-16 DOI:10.1212/CPJ.0000000000200336

Ashish D Patel, Mallory Sponenberg, Leeann Webster, Sara Cole, Edward Stefanowicz, Jason A Dinko, Brian Seeley, Scott Friedenberg

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引用次数: 0

Abstract

Background: The demand for neurology services exceeds the current supply. We convened multiple stakeholders to learn what drives our primary care providers (PCPs) to refer patients with headache to our neurology practice. This information guided a collaborative effort to evaluate the impact of an electronic health record (EHR) headache tool on care delivery in our PCP clinics.

Recent findings: Neurology referrals and MRI ordering declined by 77% and 35%, respectively, after the release of the EHR tool for an estimated savings of $207,600 over 3 months. PCPs prescribing habits minimally changed.

Implications for practice: Electronically embedding a neurologist's knowledge in our PCP office was an effective way to shape the demand for headache consultation. By further leveraging stakeholder collaboration, we plan to improve the tool and disseminate it across our health system to reduce headache burden and health care costs.

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利用设计思维了解头痛转诊原因并降低转诊率。

背景：神经内科服务供不应求。我们召集了多个利益相关者，以了解是什么促使初级保健提供者（PCP）将头痛患者转介到我们的神经内科。在这些信息的指导下，我们合作评估了电子健康记录（EHR）头痛工具对初级保健医生诊所医疗服务的影响：最近的研究结果：电子病历工具发布后，神经内科的转诊率和核磁共振成像的订购率分别下降了 77% 和 35%，3 个月内估计可节省 207,600 美元。初级保健医生的处方习惯变化很小：将神经科医生的知识以电子方式植入初级保健医生的办公室，是形成头痛咨询需求的有效方法。通过进一步利用利益相关者的合作，我们计划改进该工具，并将其推广到整个医疗系统，以减轻头痛负担，降低医疗成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neurology. Clinical practice CLINICAL NEUROLOGY-

CiteScore

4.00

自引率

0.00%

发文量

期刊介绍： Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.