Heather L. Evans

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BACKGROUND The successful treatment of intraabdominal infection requires a combination of anatomical source control and antibiotics. The appropriate duration of antimicrobial therapy remains unclear. METHODS We randomly assigned 518 patients with complicated intraabdominal infection and adequate source control to receive antibiotics until 2 days after the(More)
OBJECTIVE The proposed Meaningful Use Stage 3 recommendations require healthcare providers to accept patient-generated health data (PGHD) by 2017. Yet, we know little about the tensions that arise in supporting the needs of both patients and providers in this context. We sought to examine these tensions when designing a novel, patient-centered technology -(More)
BACKGROUND Post-discharge surgical site infections (SSI) are a major source of morbidity, expense and anxiety for patients. However, patient perceptions about barriers experienced while seeking care for post-discharge SSI have not been assessed in depth. We explored patient experience of SSI and openness to a mobile health (mHealth) wound monitoring "app"(More)
We present a technique to leverage annotator rationale annotations for ventilator assisted pneumonia (VAP) classification. Given an annotated training corpus of 1344 narrative chest X-ray reports, we report results for two supervised classification tasks: Critical Pulmonary Infection Score (CPIS) and the likelihood of Pneumonia (PNA). For both tasks, our(More)
In this paper we describe a natural language processing system which is able to predict whether or not a patient exhibits a specific phenotype using the information extracted from the narrative reports associated with the patient. Furthermore, the phenotypic annotations from our report dataset were performed at the report level which allows us to perform(More)
Surgical Site Infection (SSI) is a national priority in healthcare research. Much research attention has been attracted to develop better SSI risk prediction models. However, most of the existing SSI risk prediction models are built on static risk factors such as comorbidities and operative factors. In this paper, we investigate the use of the dynamic wound(More)
Many current mobile health applications ("apps") and most previous research have been directed at management of chronic illnesses. However, little is known about patient preferences and design considerations for apps intended to help in a post-acute setting. Our team is developing an mHealth platform to engage patients in wound tracking to identify and(More)
Clinical research studying critical illness phenotypes relies on the identification of clinical syndromes defined by consensus definitions. Historically, identifying phenotypes has required manual chart review, a time and resource intensive process. The overall research goal of C ritical I llness PH enotype E xt R action (deCIPHER) project is to develop(More)
BACKGROUND This pilot study assessed the feasibility of using first person (1P) video recording with Google Glass (GG) to assess procedural skills, as compared with traditional third person (3P) video. We hypothesized that raters reviewing 1P videos would visualize more procedural steps with greater inter-rater reliability than 3P rating vantages. METHODS(More)