Search Results - "Miller, Randolph A"

Commonly used surrogates for baseline renal function affect the classification and prognosis of acute kidney injury by Siew, Edward D., Matheny, Michael E., Ikizler, T. Alp, Lewis, Julie B., Miller, Randolph A., Waitman, Lemuel R., Go, Alan S., Parikh, Chirag R., Peterson, Josh F.

“…Studies of acute kidney injury usually lack data on pre-admission kidney function and often substitute an inpatient or imputed serum creatinine as an estimate…”
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Computer-assisted diagnostic decision support: history, challenges, and possible paths forward by Miller, Randolph A.

“…This paper presents a brief history of computer-assisted diagnosis, including challenges and future directions. Some ideas presented in this article on…”
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Development of Inpatient Risk Stratification Models of Acute Kidney Injury for Use in Electronic Health Records by Matheny, Michael E., Miller, Randolph A., Ikizler, T. Alp, Waitman, Lemuel R., Denny, Joshua C., Schildcrout, Jonathan S., Dittus, Robert S., Peterson, Josh F.

“…Objective. Patients with hospital-acquired acute kidney injury (AKI) are at risk for increased mortality and further medical complications. Evaluating these…”
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Reducing patient re-identification risk for laboratory results within research datasets by Atreya, Ravi V, Smith, Joshua C, McCoy, Allison B, Malin, Bradley, Miller, Randolph A

“…To try to lower patient re-identification risks for biomedical research databases containing laboratory test results while also minimizing changes in clinical…”
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Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning by Mao, Yuqing, Miller, Randolph A, Bodenreider, Olivier, Nguyen, Vinh, Fung, Kin Wah

“…Abstract Objective Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic group (SG) assignments for new UMLS Metathesaurus atoms, with…”
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The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics by Miller, Randolph A, Shortliffe, Edward H

“…Abstract Over a 31-year span as Director of the U.S. National Library of Medicine (NLM), Donald A.B. Lindberg, MD, and his extraordinary NLM colleagues…”
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The ranking of scientists by Miller, Randolph A.

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A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD) by Wu, Yonghui, Denny, Joshua C, Trent Rosenbloom, S, Miller, Randolph A, Giuse, Dario A, Wang, Lulu, Blanquicett, Carmelo, Soysal, Ergin, Xu, Jun, Xu, Hua

“…Objective: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current…”
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Do electronic health record systems "dumb down" clinicians? by Melton, Genevieve B, Cimino, James J, Lehmann, Christoph U, Sengstack, Patricia R, Smith, Joshua C, Tierney, William M, Miller, Randolph A

“…A panel sponsored by the American College of Medical Informatics (ACMI) at the 2021 AMIA Symposium addressed the provocative question: "Are Electronic Health…”
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A method for analyzing inpatient care variability through physicians’ orders by Lenert, Matthew C., Miller, Randolph A., Vorobeychik, Yevgeniy, Walsh, Colin G.

“…[Display omitted] •Assessing variability in patient care is hard to do at the scale of a hospital.•Many institutions use cost variability instead to make…”
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Discovering hidden knowledge through auditing clinical diagnostic knowledge bases by Lenert, Matthew C., Walsh, Colin G., Miller, Randolph A.

“…[Display omitted] •Diagnostic reasoning systems must represent the frequency of findings in diseases.•Data mining techniques can semi-automate diagnostic…”
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A framework for evaluating the appropriateness of clinical decision support alerts and responses by McCoy, Allison B, Waitman, Lemuel R, Lewis, Julia B, Wright, Julie A, Choma, David P, Miller, Randolph A, Peterson, Josh F

“…Alerting systems, a type of clinical decision support, are increasingly prevalent in healthcare, yet few studies have concurrently measured the appropriateness…”
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Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records by Liu, Mei, McPeek Hinz, Eugenia Renne, Matheny, Michael Edwin, Denny, Joshua C, Schildcrout, Jonathan Scott, Miller, Randolph A, Xu, Hua

“…Medication  safety requires that each drug be monitored throughout its market life as early detection of adverse drug reactions (ADRs) can lead to alerts that…”
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Interface Terminologies: Facilitating Direct Entry of Clinical Data into Electronic Health Record Systems by Rosenbloom, S. Trent, Miller, Randolph A., Johnson, Kevin B., Elkin, Peter L., Brown, Steven H.

“…Previous investigators have defined clinical interface terminology as a systematic collection of health care–related phrases (terms) that supports clinicians'…”
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Evaluation of a Method to Identify and Categorize Section Headers in Clinical Documents by Denny, Joshua C., Spickard, Anderson, Johnson, Kevin B., Peterson, Neeraja B., Peterson, Josh F., Miller, Randolph A.

“…Clinical notes, typically written in natural language, often contain substructure that divides them into sections, such as “History of Present Illness” or…”
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All's well that ends well for JAMIA editors by Miller, Randolph A

“…Dr Randolph A Miller begins a self-imposed JAMIA retirement on January 1, 2011 after serving as Editor-in-Chief for eight and a half years. He lauds the…”
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Extracting timing and status descriptors for colonoscopy testing from electronic medical records by Denny, Joshua C, Peterson, Josh F, Choma, Neesha N, Xu, Hua, Miller, Randolph A, Bastarache, Lisa, Peterson, Neeraja B

“…Colorectal cancer (CRC) screening rates are low despite confirmed benefits. The authors investigated the use of natural language processing (NLP) to identify…”
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A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries by Wu, Yonghui, Denny, Joshua C, Rosenbloom, S Trent, Miller, Randolph A, Giuse, Dario A, Xu, Hua

“…Clinical Natural Language Processing (NLP) systems extract clinical information from narrative clinical texts in many settings. Previous research mentions the…”
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Natural Language Processing Improves Identification of Colorectal Cancer Testing in the Electronic Medical Record by Denny, Joshua C., Choma, Neesha N., Peterson, Josh F., Miller, Randolph A., Bastarache, Lisa, Li, Ming, Peterson, Neeraja B.

“…Background. Difficulty identifying patients in need of colorectal cancer (CRC) screening contributes to low screening rates. Objective. To use Electronic…”
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Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement by Rosenbaum, Benjamin P, Silkin, Nikolay, Miller, Randolph A

“…Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create…”
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