Quantify the variability of patients' problem lists - in terms of the number, type, and ordering of problems - across multiple physicians and assess physicians' criteria for organizing and ranking diagnoses.
Author(s): Krauss, John C, Boonstra, Philip S, Vantsevich, Anna V, Friedman, Charles P
DOI: 10.1093/jamia/ocv211
Patients in intensive care units (ICUs) may lack decisional capacity and may depend on proxy decision makers (PDMs) to make medical decisions on their behalf. High-quality information-sharing with PDMs, including through such means as health information technology, could improve communication and decision making and could potentially minimize the psychological consequences of an ICU stay for both patients and their family members. However, alongside these anticipated benefits of information-sharing are risks [...]
Author(s): Brown, Samuel M, Aboumatar, Hanan J, Francis, Leslie, Halamka, John, Rozenblum, Ronen, Rubin, Eileen, Sarnoff Lee, Barbara, Sugarman, Jeremy, Turner, Kathleen, Vorwaller, Micah, Frosch, Dominick L, ,
DOI: 10.1093/jamia/ocv182
Develop and evaluate an automated identification and predictive risk report for hospitalized heart failure (HF) patients.
Author(s): Evans, R Scott, Benuzillo, Jose, Horne, Benjamin D, Lloyd, James F, Bradshaw, Alejandra, Budge, Deborah, Rasmusson, Kismet D, Roberts, Colleen, Buckway, Jason, Geer, Norma, Garrett, Teresa, Lappé, Donald L
DOI: 10.1093/jamia/ocv197
In order to facilitate clinical research across multiple institutions, data harmonization is a critical requirement. Common data elements (CDEs) collect data uniformly, allowing data interoperability between research studies. However, structural limitations have hindered the application of CDEs. An advanced modeling structure is needed to rectify such limitations. The openEHR 2-level modeling approach has been widely implemented in the medical informatics domain. The aim of our study is to explore the [...]
Author(s): Lin, Ching-Heng, Fann, Yang-Cheng, Liou, Der-Ming
DOI: 10.1093/jamia/ocv137
The use of risk prediction models grows as electronic medical records become widely available. Here, we develop and validate a model to identify individuals at increased risk for colorectal cancer (CRC) by analyzing blood counts, age, and sex, then determine the model's value when used to supplement conventional screening.
Author(s): Kinar, Yaron, Kalkstein, Nir, Akiva, Pinchas, Levin, Bernard, Half, Elizabeth E, Goldshtein, Inbal, Chodick, Gabriel, Shalev, Varda
DOI: 10.1093/jamia/ocv195
A fundamental challenge in the field of clinical decision support is to determine what characteristics of systems make them effective in supporting particular types of clinical decisions. However, we lack such a theory of decision support itself and a model to describe clinical decisions and the systems to support them. This article outlines such a framework. We present a two-stream model of information flow within clinical decision-support systems (CDSSs): reasoning [...]
Author(s): Medlock, Stephanie, Wyatt, Jeremy C, Patel, Vimla L, Shortliffe, Edward H, Abu-Hanna, Ameen
DOI: 10.1093/jamia/ocv177
Author(s): Fridsma, Douglas B, Smith, Jeffery
DOI: 10.1093/jamia/ocw120
Author(s): Brennan, Patricia Flatley
DOI: 10.1093/jamia/ocw122
Author(s): Ohno-Machado, Lucila, ,
DOI: 10.1093/jamia/ocw129
The Clinical Genome Resource (ClinGen) Electronic Health Record (EHR) Workgroup aims to integrate ClinGen resources with EHRs. A promising option to enable this integration is through the Health Level Seven (HL7) Infobutton Standard. EHR systems that are certified according to the US Meaningful Use program provide HL7-compliant infobutton capabilities, which can be leveraged to support clinical decision-making in genomics.
Author(s): Heale, Bret S E, Overby, Casey Lynnette, Del Fiol, Guilherme, Rubinstein, Wendy S, Maglott, Donna R, Nelson, Tristan H, Milosavljevic, Aleksandar, Martin, Christa L, Goehringer, Scott R, Freimuth, Robert, Williams, Marc S
DOI: 10.4338/ACI-2016-04-RA-0058