Patient-generated health data (PGHD), or health-related data gathered from patients to help address a health concern, are used increasingly in oncology to make regulatory decisions and evaluate quality of care. PGHD include self-reported health and treatment histories, patient-reported outcomes (PROs), and biometric sensor data. Advances in wireless technology, smartphones, and the Internet of Things have facilitated new ways to collect PGHD during clinic visits and in daily life. The goal of the current review was to provide an overview of the current clinical, regulatory, technological, and analytic landscape as it relates to PGHD in oncology research and care. The review begins with a rationale for PGHD as described by the US Food and Drug Administration, the Institute of Medicine, and other regulatory and scientific organizations. The evidence base for clinic-based and remote symptom monitoring using PGHD is described, with an emphasis on PROs. An overview is presented of current approaches to digital phenotyping or device-based, real-time assessment of biometric, behavioral, self-report, and performance data. Analytic opportunities regarding PGHD are envisioned in the context of big data and artificial intelligence in medicine. Finally, challenges and solutions for the integration of PGHD into clinical care are presented. The challenges include electronic medical record integration of PROs and biometric data, analysis of large and complex biometric data sets, and potential clinic workflow redesign. In addition, there is currently more limited evidence for the use of biometric data relative to PROs. Despite these challenges, the potential benefits of PGHD make them increasingly likely to be integrated into oncology research and clinical care.

Background Electronic health record (EHR) alert fatigue, while widely recognized as a concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The goal of this manuscript is to provide practical guidance to clinical informaticists and other health care leaders who are considering creating a program to manage EHR alerts. Methods This manuscript synthesizes several approaches and recommendations for better alert management derived from four U.S. health care institutions that presented their experiences and recommendations at the American Medical Informatics Association 2019 Clinical Informatics Conference in Atlanta, Georgia, United States. The assembled health care institution leaders represent academic, pediatric, community, and specialized care domains. We describe governance and management, structural concepts and components, and human–computer interactions with alerts, and make recommendations regarding these domains based on our experience supplemented with literature review. This paper focuses on alerts that impact bedside clinicians. Results The manuscript addresses the range of considerations relevant to alert management including a summary of the background literature about alerts, alert governance, alert metrics, starting an alert management program, approaches to evaluating alerts prior to deployment, and optimization of existing alerts. The manuscript includes examples of alert optimization successes at two of the represented institutions. In addition, we review limitations on the ability to evaluate alerts in the current state and identify opportunities for further scholarship. Conclusion Ultimately, alert management programs must strive to meet common goals of improving patient care, while at the same time decreasing the alert burden on clinicians. In so doing, organizations have an opportunity to promote the wellness of patients, clinicians, and EHRs themselves.

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Objectives: Measure the immediate change in intensive care unit (ICU) family members’ state stress levels from the beginning to the end of a person’s visit to a hospital garden and compare the changes produced by the garden with those associated with spending time in indoor hospital environments intended for respite and relaxation. Background: No previous research has compared the efficacy of different physical environments as interventions to foster stress reduction in family members of ICU patients, a group of hospital visitors known to experience high levels of distress. Method: A convenience sample of 42 ICU patient family (from 42 different families) completed the Present Functioning Visual Analogue Scales (PFVAS) before and after each visit (128 total visits) to a garden, an atrium/café, or ICU waiting room. Results: Stress scores significantly declined (i.e., improved) from the start to the end of a break on all PFVAS subscales ( p < .0001) in both the garden and indoors locations. However, it is noteworthy that garden breaks resulted in significantly greater improvement in the “sadness” scale than breaks in indoor locations ( p = .03), and changes in all five other PFVAS scores showed somewhat more reduction of stress for breaks spent in the garden than indoors, although these differences were not statistically significant. Conclusion: Creating an unlocked garden with abundant nature located close to an ICU can be an effective intervention for significantly mitigating state stress in family members of ICU patients and can be somewhat more effective than indoor areas expressly designed for family respite and relaxation.

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