Redundancy in electronic health record corpora: analysis, impact on text mining performance and mitigation strategies
نویسندگان
چکیده
منابع مشابه
Identifying fall-related injuries: Text mining the electronic medical record
Unintentional injury due to falls is a serious and expensive health problem among the elderly. This is especially true in the Veterans Health Administration (VHA) ambulatory care setting, where nearly 40% of the male patients are 65 or older and at risk for falls. Health service researchers and clinicians can utilize VHA administrative data to identify and explore the frequency and nature of fa...
متن کاملThe Impact of Distraction Mitigation Strategies on Driving Performance
OBJECTIVES An experiment was conducted to assess the effects of distraction mitigation strategies on drivers' performance and productivity while engaged in an in-vehicle information system task. BACKGROUND Previous studies show that in-vehicle tasks undermine driver safety and there is a need to mitigate driver distraction. METHOD An advising strategy that alerts drivers to potential danger...
متن کاملThe impact of electronic health record use on physician productivity.
OBJECTIVES To examine the impact of the degree of electronic health record (EHR) use and delegation of EHR tasks on clinician productivity in ambulatory settings. STUDY DESIGN We examined EHR use in primary care practices that implemented a web-based EHR from athenahealth (n = 42) over 3 years (695 practice-month observations). Practices were predominantly small and spread throughout the coun...
متن کاملImpact of an Electronic Health Record on Oncologists' Clinic Time
The use of Electronic Health Records (EHRs) has been widely advocated to transform health-care delivery by improving quality, safety, and efficiency. Compared to a paper-based system, EHRs offer better access to clinical data and facilitate order entry and decision support. However, the benefits provided by EHRs do not eliminate the need to assess how such systems alter clinician time utilizati...
متن کاملPredicting Severe Sepsis Using Text from the Electronic Health Record
Employing a machine learning approach we predict, up to 24 hours prior, a diagnosis of severe sepsis. Strongly predictive models are possible that use only text reports from the Electronic Health Record (EHR), and omit structured numerical data. Unstructured text alone gives slightly better performance than structured data alone, and the combination further improves performance. We also discuss...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2013
ISSN: 1471-2105
DOI: 10.1186/1471-2105-14-10