Evidence-based public policy comes to Washington.
Author(s): Fridsma, Douglas B, Smith, Jeffery
DOI: 10.1093/jamia/ocw120
Author(s): Fridsma, Douglas B, Smith, Jeffery
DOI: 10.1093/jamia/ocw120
In early 2010, Harvard Medical School and Boston Children's Hospital began an interoperability project with the distinctive goal of developing a platform to enable medical applications to be written once and run unmodified across different healthcare IT systems. The project was called Substitutable Medical Applications and Reusable Technologies (SMART).
Author(s): Mandel, Joshua C, Kreda, David A, Mandl, Kenneth D, Kohane, Isaac S, Ramoni, Rachel B
DOI: 10.1093/jamia/ocv189
Natural language processing methods for medical auto-coding, or automatic generation of medical billing codes from electronic health records, generally assign each code independently of the others. They may thus assign codes for closely related procedures or diagnoses to the same document, even when they do not tend to occur together in practice, simply because the right choice can be difficult to infer from the clinical narrative.
Author(s): Subotin, Michael, Davis, Anthony R
DOI: 10.1093/jamia/ocv201
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
We sought to assess the potential of a widely available source of electronic medication data to prevent medication history errors and resultant inpatient order errors.
Author(s): Pevnick, Joshua M, Palmer, Katherine A, Shane, Rita, Wu, Cindy N, Bell, Douglas S, Diaz, Frank, Cook-Wiens, Galen, Jackevicius, Cynthia A
DOI: 10.1093/jamia/ocv171
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
AMIA is leading the effort to strengthen the health informatics profession by creating an advanced health informatics certification (AHIC) for individuals whose informatics work directly impacts the practice of health care, public health, or personal health. The AMIA Board of Directors has endorsed a set of proposed AHIC eligibility requirements that will be presented to the future AHIC certifying entity for adoption. These requirements specifically establish who will be eligible [...]
Author(s): Gadd, Cynthia S, Williamson, Jeffrey J, Steen, Elaine B, Andriole, Katherine P, Delaney, Connie, Gumpper, Karl, LaVenture, Martin, Rosendale, Doug, Sittig, Dean F, Thyvalikakath, Thankam, Turner, Peggy, Fridsma, Douglas B
DOI: 10.1093/jamia/ocw090
This article offers suggested guidelines for graduate students who are embarking on informatics doctoral studies and anticipating the dissertation research and its documentation. Much of the guidance is pertinent for writing dissertations in other disciplines as well. The messages are largely directed at doctoral students, but some elements are also pertinent for master's students. All are relevant for faculty research advisors. The value of the dissertation is often underestimated. Too [...]
Author(s): Shortliffe, Edward H
DOI: 10.1093/jamia/ocw074
Health care organizations must develop integrated health information systems to respond to the numerous government mandates driving the movement toward reimbursement models emphasizing value-based and accountable care. Success in this transition requires integrated data analytics, supported by the combination of health informatics, interoperability, business process design, and advanced decision support tools. This case study presents the development of a master's level cross- and multidisciplinary informatics program offered through a business [...]
Author(s): Tremblay, Monica Chiarini, Deckard, Gloria J, Klein, Richard
DOI: 10.1093/jamia/ocw055
Author(s): Frey, Lewis J, Bernstam, Elmer V, Denny, Joshua C
DOI: 10.1093/jamia/ocw053