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
Telehealth is promoted as a strategy to support self-management of long-term conditions. The aim of this systematic review is to identify which information and communication technology features implemented in mobile apps to support asthma self-management are associated with adoption, adherence to usage, and clinical effectiveness.
Author(s): Hui, Chi Yan, Walton, Robert, McKinstry, Brian, Jackson, Tracy, Parker, Richard, Pinnock, Hilary
DOI: 10.1093/jamia/ocw143
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
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
Discovery of clinical workflows to target for redesign using methods such as Lean and Six Sigma is difficult. VoIP telephone call pattern analysis may complement direct observation and EMR-based tools in understanding clinical workflows at the enterprise level by allowing visualization of institutional telecommunications activity.
Author(s): Rucker, Donald W
DOI: 10.4338/ACI-2016-11-RA-0191
Evidence-based clinical scores are used frequently in clinical practice, but data collection and data entry can be time consuming and hinder their use. We investigated the programmability of 168 common clinical calculators for automation within electronic health records.
Author(s): Aakre, Christopher, Dziadzko, Mikhail, Keegan, Mark T, Herasevich, Vitaly
DOI: 10.4338/ACI-2016-09-RA-0149
As HIV/AIDS is considered a chronic disease; quality of life (QoL) has become an important focus for researchers and healthcare providers. Technology-mediated interventions have demonstrated improved clinical effectiveness in outcomes, such as viral suppression, for persons living with HIV/AIDS (PLWH). However, the evidence to support the impact of these interventions on QoL is lacking.
Author(s): Cho, Hwayoung, Iribarren, Sarah, Schnall, Rebecca
DOI: 10.4338/ACI-2016-10-R-0175
Patient matching is a key barrier to achieving interoperability. Patient demographic elements must be consistently collected over time and region to be valuable elements for patient matching.
Author(s): Culbertson, Adam, Goel, Satyender, Madden, Margaret B, Safaeinili, Niloufar, Jackson, Kathryn L, Carton, Thomas, Waitman, Russ, Liu, Mei, Krishnamurthy, Ashok, Hall, Lauren, Cappella, Nickie, Visweswaran, Shyam, Becich, Michael J, Applegate, Reuben, Bernstam, Elmer, Rothman, Russell, Matheny, Michael, Lipori, Gloria, Bian, Jiang, Hogan, William, Bell, Douglas, Martin, Andrew, Grannis, Shaun, Klann, Jeff, Sutphen, Rebecca, O'Hara, Amy B, Kho, Abel
DOI: 10.4338/ACI-2016-11-RA-0196
Computerized provider order entry (CPOE) is a technology with potential to transform care delivery. While CPOE systems have been studied in adult populations, less is known about the implementation of CPOE in the neonatal intensive care unit (NICU) and perceptions of nurses and physicians using the system.
Author(s): Beam, Kristyn S, Cardoso, Megan, Sweeney, Megan, Binney, Geoff, Weingart, Saul N
DOI: 10.4338/ACI-2016-09-RA-0153
Clinical guidelines recommending the use of myeloid growth factors are largely based on the prescribed chemotherapy regimen. The guidelines suggest that oncologists consider patient-specific characteristics when prescribing granulocyte-colony stimulating factor (G-CSF) prophylaxis; however, a mechanism to quantify individual patient risk is lacking. Readily available electronic health record (EHR) data can provide patient-specific information needed for individualized neutropenia risk estimation. An evidence-based, individualized neutropenia risk estimation algorithm has been developed. This [...]
Author(s): Pawloski, Pamala A, Thomas, Avis J, Kane, Sheryl, Vazquez-Benitez, Gabriela, Shapiro, Gary R, Lyman, Gary H
DOI: 10.1093/jamia/ocw131