{"id":277413,"date":"2016-08-16T10:36:29","date_gmt":"2016-08-16T17:36:29","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=277413"},"modified":"2018-10-16T21:20:44","modified_gmt":"2018-10-17T04:20:44","slug":"characterizing-patient-friendly-micro-explanations-medical-events","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/characterizing-patient-friendly-micro-explanations-medical-events\/","title":{"rendered":"Characterizing Patient-Friendly &#8220;Micro-Explanations&#8221;\u009d of Medical Events"},"content":{"rendered":"<p>Patients\u2019 basic understanding of clinical events has been\u00a0shown to dramatically improve patient care. We propose\u00a0that the automatic generation of very short <em>microexplanations<\/em>,\u00a0suitable for real-time delivery in clinical settings,\u00a0can transform patient care by giving patients greater\u00a0awareness of key events in their electronic medical record.\u00a0We present results of a survey study indicating that it may\u00a0be possible to automatically generate such explanations by\u00a0extracting individual sentences from consumer-facing Web\u00a0pages. We further inform future work by characterizing\u00a0physician and non-physician responses to a variety of Web-extracted\u00a0explanations of medical lab tests.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Patients\u2019 basic understanding of clinical events has been\u00a0shown to dramatically improve patient care. We propose\u00a0that the automatic generation of very short microexplanations,\u00a0suitable for real-time delivery in clinical settings,\u00a0can transform patient care by giving patients greater\u00a0awareness of key events in their electronic medical record.\u00a0We present results of a survey study indicating that it may\u00a0be possible to 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