Advancing healthcare and biomedical research via new data-driven approaches.
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx036
Author(s): Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocx036
Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information that needs to be removed to de-identify patient notes. Manual de-identification is impractical given the size of [...]
Author(s): Dernoncourt, Franck, Lee, Ji Young, Uzuner, Ozlem, Szolovits, Peter
DOI: 10.1093/jamia/ocw156
Little evidence exists about effective and scalable methods for meaningful stakeholder engagement in research. We explored patient/caregiver experiences with a high-tech online engagement approach for patient-centered research prioritization, compared their experiences with those of professional stakeholders, and identified factors associated with favorable participant experiences.
Author(s): Khodyakov, Dmitry, Grant, Sean, Meeker, Daniella, Booth, Marika, Pacheco-Santivanez, Nathaly, Kim, Katherine K
DOI: 10.1093/jamia/ocw157
Drug repositioning is a promising methodology for reducing the cost and duration of the drug discovery pipeline. We sought to develop a computational repositioning method leveraging annotations in the literature, such as Medical Subject Heading (MeSH) terms.
Author(s): Brown, Adam S, Patel, Chirag J
DOI: 10.1093/jamia/ocw142
This review evaluates costs and benefits associated with acquiring, implementing, and operating clinical decision support systems (CDSSs) to prevent cardiovascular disease (CVD).
Author(s): Jacob, Verughese, Thota, Anilkrishna B, Chattopadhyay, Sajal K, Njie, Gibril J, Proia, Krista K, Hopkins, David P, Ross, Murray N, Pronk, Nicolaas P, Clymer, John M
DOI: 10.1093/jamia/ocw160
Most electronic health record systems provide laboratory test results to patients in table format. We tested whether presenting such results in visual displays (number lines) could improve understanding.
Author(s): Zikmund-Fisher, Brian J, Scherer, Aaron M, Witteman, Holly O, Solomon, Jacob B, Exe, Nicole L, Tarini, Beth A, Fagerlin, Angela
DOI: 10.1093/jamia/ocw169
It is common that cancer patients have different molecular signatures even though they have similar clinical features, such as histology, due to the heterogeneity of tumors. To overcome this variability, we previously developed a new approach incorporating prior biological knowledge that identifies knowledge-driven genomic interactions associated with outcomes of interest. However, no systematic approach has been proposed to identify interaction models between pathways based on multi-omics data. Here we have [...]
Author(s): Kim, Dokyoon, Li, Ruowang, Lucas, Anastasia, Verma, Shefali S, Dudek, Scott M, Ritchie, Marylyn D
DOI: 10.1093/jamia/ocw165
Epidemiological surveillance of malaria in France is based on a hospital laboratory sentinel surveillance network. There is no comprehensive population surveillance. The objective of this study was to assess the ability of the French National Health Insurance Information System to support nationwide malaria surveillance in continental France.
Author(s): Delon, François, Mayet, Aurélie, Thellier, Marc, Kendjo, Eric, Michel, Rémy, Ollivier, Lénaïck, Chatellier, Gilles, Desjeux, Guillaume
DOI: 10.1093/jamia/ocw164
To evaluate the feasibility of automated dose and adverse event information retrieval in supporting the identification of safety patterns.
Author(s): Botsis, Taxiarchis, Foster, Matthew, Arya, Nina, Kreimeyer, Kory, Pandey, Abhishek, Arya, Deepa
DOI: 10.4338/ACI-2016-10-RA-0169
Screening, brief intervention, and referral for treatment (SBIRT) for behavioral health (BH) is a key clinical process. SBIRT tools in electronic health records (EHR) are infrequent and rarely studied. Our goals were 1) to design and implement SBIRT using clinical decision support (CDS) in a commercial EHR; and 2) to conduct a pragmatic evaluation of the impact of the tools on clinical outcomes.
Author(s): Burdick, Timothy E, Kessler, Rodger S
DOI: 10.4338/ACI-2016-04-RA-0068