Basic informatics literacy: building a health information technology workforce.
Author(s): Fridsma, Doug
DOI: 10.1093/jamia/ocw066
Author(s): Fridsma, Doug
DOI: 10.1093/jamia/ocw066
Author(s): Rosenbloom, S Trent
DOI: 10.1093/jamia/ocw059
Author(s):
DOI: 10.1093/jamia/ocw080
The diabetes healthcare provider plays a key role in interpreting blood glucose trends, but few institutions have successfully integrated patient home glucose data in the electronic health record (EHR). Published implementations to date have required custom interfaces, which limit wide-scale replication. We piloted automated integration of continuous glucose monitor data in the EHR using widely available consumer technology for 10 pediatric patients with insulin-dependent diabetes. Establishment of a passive data [...]
Author(s): Kumar, Rajiv B, Goren, Nira D, Stark, David E, Wall, Dennis P, Longhurst, Christopher A
DOI: 10.1093/jamia/ocv206
To investigate how individuals with diabetes and diabetes educators reason about data collected through self-monitoring and to draw implications for the design of data-driven self-management technologies.
Author(s): Mamykina, Lena, Levine, Matthew E, Davidson, Patricia G, Smaldone, Arlene M, Elhadad, Noemie, Albers, David J
DOI: 10.1093/jamia/ocv187
The proposed Meaningful Use Stage 3 recommendations require healthcare providers to accept patient-generated health data (PGHD) by 2017. Yet, we know little about the tensions that arise in supporting the needs of both patients and providers in this context. We sought to examine these tensions when designing a novel, patient-centered technology - mobile Post-Operative Wound Evaluator (mPOWEr) - that uses PGHD for post-discharge surgical wound monitoring.
Author(s): Sanger, Patrick C, Hartzler, Andrea, Lordon, Ross J, Armstrong, Cheryl Al, Lober, William B, Evans, Heather L, Pratt, Wanda
DOI: 10.1093/jamia/ocv183
To evaluate the feasibility of automatically assessing the Social Rhythm Metric (SRM), a clinically-validated marker of stability and rhythmicity for individuals with bipolar disorder (BD), using passively-sensed data from smartphones.
Author(s): Abdullah, Saeed, Matthews, Mark, Frank, Ellen, Doherty, Gavin, Gay, Geri, Choudhury, Tanzeem
DOI: 10.1093/jamia/ocv200
Online health communities offer a diverse peer support base, yet users can struggle to identify suitable peer mentors as these communities grow. To facilitate mentoring connections, we designed a peer-matching system that automatically profiles and recommends peer mentors to mentees based on person-generated health data (PGHD). This study examined the profile characteristics that mentees value when choosing a peer mentor.
Author(s): Hartzler, Andrea L, Taylor, Megan N, Park, Albert, Griffiths, Troy, Backonja, Uba, McDonald, David W, Wahbeh, Sam, Brown, Cory, Pratt, Wanda
DOI: 10.1093/jamia/ocv175
To understand self-monitoring strategies used independently of clinical treatment by individuals with bipolar disorder (BD), in order to recommend technology design principles to support mental health management.
Author(s): Murnane, Elizabeth L, Cosley, Dan, Chang, Pamara, Guha, Shion, Frank, Ellen, Gay, Geri, Matthews, Mark
DOI: 10.1093/jamia/ocv165
The Crohn's and Colitis Foundation of America Partners Patient-Powered Research Network (PPRN) seeks to advance and accelerate comparative effectiveness and translational research in inflammatory bowel diseases (IBDs). Our IBD-focused PCORnet PPRN has been designed to overcome the major obstacles that have limited patient-centered outcomes research in IBD by providing the technical infrastructure, patient governance, and patient-driven functionality needed to: 1) identify, prioritize, and undertake a patient-centered research agenda through sharing [...]
Author(s): Chung, Arlene E, Sandler, Robert S, Long, Millie D, Ahrens, Sean, Burris, Jessica L, Martin, Christopher F, Anton, Kristen, Robb, Amber, Caruso, Thomas P, Jaeger, Elizabeth L, Chen, Wenli, Clark, Marshall, Myers, Kelly, Dobes, Angela, Kappelman, Michael D
DOI: 10.1093/jamia/ocv191