Ariadne Labs, Brigham and Women's Hospital, Harvard. T.H. Chan School of Public Health, Boston, MA, USA; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
Ariadne Labs, Brigham and Women's Hospital, Harvard. T.H. Chan School of Public Health, Boston, MA, USA; Department of Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Eur J Surg Oncol. 2019 Dec;45(12):2287-2288. doi: 10.1016/j.ejso.2019.07.025. Epub 2019 Jul 20.
Perioperative shared decision-making can be improved through the development of novel patient-centered outcome measures made possible by digital phenotyping-"the moment-by-moment quantification of individual-level human phenotype in situ using data from personal digital devices, in particular smartphones." This Short Report presents data from a patient with breast cancer that illustrates the opportunities of digital phenotyping to better inform patient quality of life while also discussing the challenges to its adoption. With time, effort, and physician engagement, digital phenotyping can help surgeons better understand the patient experience in the postoperative period and in turn, help them provide care that maximizes patient quality of life.
围手术期共享决策可以通过开发新型以患者为中心的结局测量方法得到改善,这些方法得益于数字表型学——“使用来自个人数字设备(尤其是智能手机)的数据,对个体水平的人类表型进行实时、逐点的量化”。本短篇报道介绍了一名乳腺癌患者的数据,这些数据说明了数字表型学在更好地告知患者生活质量方面的机会,同时也讨论了其采用面临的挑战。随着时间的推移、努力和医生的参与,数字表型学可以帮助外科医生更好地了解患者在术后期间的体验,并帮助他们提供最大限度提高患者生活质量的护理。