Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals.

Jessica Schroeder, Jane Hoffswell, Chia-Fang Chung, James Fogarty, Sean Munson, Jasmine Zia
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Abstract

Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's food and symptom journal to identify the patient's triggers. We contribute interactive visualizations to support exploration of such journals, as well as an examination of patient-provider collaboration in interpreting the journals. Drawing upon individual and collaborative interviews with patients and providers, we find that collaborative review helps improve data comprehension and build mutual trust. We also find a desire to use tools like our interactive visualizations within and beyond clinic appointments. We discuss these findings and present guidance for the design of future tools.

Abstract Image

Abstract Image

支持患者与医疗服务提供者合作,利用食物和症状日志识别个人触发因素。
患者生成的数据可以让患者和医疗服务提供者共同制定准确的诊断和可行的治疗计划。遗憾的是,患者和医疗服务提供者往往缺乏有效的支持来利用这些数据。我们研究了患者与医疗服务提供者合作解读患者生成数据的情况。我们将重点放在肠易激综合征(IBS)上,这是一种慢性疾病,特定食物会加重症状。肠易激综合征的治疗通常需要患者与医护人员合作,利用患者的食物和症状日志来确定患者的诱发因素。我们提供了交互式可视化方法,以支持对此类日志的探索,以及对患者与医护人员合作解释日志的研究。通过对患者和医疗服务提供者进行个别访谈和合作访谈,我们发现合作审查有助于提高数据理解能力并建立相互信任。我们还发现,患者希望在诊疗过程中和诊疗结束后使用我们的互动可视化等工具。我们将讨论这些发现,并为未来工具的设计提供指导。
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