Drivers of information disclosure on health information exchange platforms: insights from an exploratory empirical study
The objective of this research is to empirically explore the drivers of patients’ consent to sharing of their medical records on health information exchange (HIE) platforms.Materials and Methods The authors analyze a dataset consisting of consent choices of 20 076 patients in Western New York. A logistic regression is applied to empirically investigate the effects of patients’ age, gender, complexity of medical conditions, and the role of primary care physicians on patients’ willingness to disclose medical information on HIE platforms.Results The likelihood of providing consent increases by age (odds ratio (OR) = 1.055; P
Source: Journal of the American Medical Informatics Association - August 14, 2015 Category: Information Technology Authors: Yaraghi, N., Sharman, R., Gopal, R., Singh, R., Ramesh, R. Tags: Brief Communication Source Type: research

The Mobilize Center: an NIH big data to knowledge center to advance human movement research and improve mobility
Regular physical activity helps prevent heart disease, stroke, diabetes, and other chronic diseases, yet a broad range of conditions impair mobility at great personal and societal cost. Vast amounts of data characterizing human movement are available from research labs, clinics, and millions of smartphones and wearable sensors, but integration and analysis of this large quantity of mobility data are extremely challenging. The authors have established the Mobilize Center (http://mobilize.stanford.edu) to harness these data to improve human mobility and help lay the foundation for using data science methods in biomedicine. T...
Source: Journal of the American Medical Informatics Association - August 13, 2015 Category: Information Technology Authors: Ku, J. P., Hicks, J. L., Hastie, T., Leskovec, J., Re, C., Delp, S. L. Tags: Brief Communication Source Type: research

Assessing the readability of clinicaltrials.gov
Conclusion Trial descriptions at CliniclTrials.gov are extremely difficult to read. Significant work is warranted to improve their readability in order to achieve CliniclTrials.gov’s goal of facilitating information dissemination and subject recruitment. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 11, 2015 Category: Information Technology Authors: Wu, D. T., Hanauer, D. A., Mei, Q., Clark, P. M., An, L. C., Proulx, J., Zeng, Q. T., Vydiswaran, V. V., Collins-Thompson, K., Zheng, K. Tags: Research and Applications Source Type: research

Assessing the impact of a primary care electronic medical record system in three kenyan rural health centers
Conclusions We successfully implemented a primary care EMR in three rural Kenyan health centers. Patient waiting time was dramatically lengthened while the nurses’ and the clerks’ patient care time decreased. Long-term use of EMRs in such settings will require changes in culture and workflow. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 9, 2015 Category: Information Technology Authors: Tierney, W. M., Sidle, J. E., Diero, L. O., Sudoi, A., Kiplagat, J., Macharia, S., Shen, C., Yeung, A., Were, M. C., Slaven, J. E., Wools-Kaloustian, K. Tags: Research and Applications Source Type: research

Design and feasibility of integrating personalized PRO dashboards into prostate cancer care
Objective Patient-reported outcomes (PROs) are a valued source of health information, but prior work focuses largely on data capture without guidance on visual displays that promote effective PRO use in patient-centered care. We engaged patients, providers, and design experts in human-centered design of "PRO dashboards" that illustrate trends in health-related quality of life (HRQOL) reported by patients following prostate cancer treatment.Materials and Methods We designed and assessed the feasibility of integrating dashboards into care in 3 steps: (1) capture PRO needs of patients and providers through focus gro...
Source: Journal of the American Medical Informatics Association - August 9, 2015 Category: Information Technology Authors: Hartzler, A. L., Izard, J. P., Dalkin, B. L., Mikles, S. P., Gore, J. L. Tags: Research and Applications Source Type: research

Development of the Parkland-UT Southwestern Colonoscopy Reporting System (CoRS) for evidence-based colon cancer surveillance recommendations
Conclusion CoRS is well-accepted by clinicians and provides guideline-based recommendations and results communications to patients and providers. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 8, 2015 Category: Information Technology Authors: Skinner, C. S., Gupta, S., Halm, E. A., Wright, S., McCallister, K., Bishop, W., Santini, N., Mayorga, C., Agrawal, D., Moran, B., Sanders, J. M., Singal, A. G. Tags: Brief Communication Source Type: research

Descriptive analysis of medication errors reported to the egyptian national online reporting system during six months
This study analyzes reports to the Egyptian medication error (ME) reporting system from June to December 2014.Methods Fifty hospital pharmacists received training on ME reporting using the national reporting system. All received reports were reviewed and analyzed. The pieces of data analyzed were patient age, gender, clinical setting, stage, type, medication(s), outcome, cause(s), and recommendation(s).Results Over the course of 6 months, 12 000 valid reports were gathered and included in this analysis. The majority (66%) came from inpatient settings, while 23% came from intensive care units, and 11% came from outpatient d...
Source: Journal of the American Medical Informatics Association - August 8, 2015 Category: Information Technology Authors: Shehata, Z. H. A., Sabri, N. A., Elmelegy, A. A. Tags: Research and Applications Source Type: research

Delivering Digital Health and Well-Being at Scale: Lessons Learned during the Implementation of the dallas Program in the United Kingdom
Conclusions The magnitude and ambition of the dallas program provides a unique opportunity to investigate the macro level implementation challenges faced when designing and delivering digital health and wellness services at scale. Flexibility, adaptability, and resilience are key implementation facilitators when shifting to new digitally enabled models of care. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 8, 2015 Category: Information Technology Authors: Devlin, A. M., McGee-Lennon, M., O'Donnell, C. A., Bouamrane, M.-M., Agbakoba, R., O'Connor, S., Grieve, E., Finch, T., Wyke, S., Watson, N., Browne, S., Mair, F. S., the "dallas" evaluation team Tags: Research and Applications Source Type: research

Active learning: a step towards automating medical concept extraction
Conclusion Incremental active learning is a promising approach for building effective and robust medical concept extraction models while significantly reducing the burden of manual annotation. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - August 7, 2015 Category: Information Technology Authors: Kholghi, M., Sitbon, L., Zuccon, G., Nguyen, A. Tags: Research and Applications Source Type: research

Real-time prediction of inpatient length of stay for discharge prioritization
Objective Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity management (RTDC) is one such initiative whereby clinicians convene each morning to predict patients able to leave the same day and prioritize their remaining tasks for early discharge. Our objective is to automate and improve these discharge predictions by applying supervised machine learning methods to readily available health information.Materials and Methods The authors use supervise...
Source: Journal of the American Medical Informatics Association - August 7, 2015 Category: Information Technology Authors: Barnes, S., Hamrock, E., Toerper, M., Siddiqui, S., Levin, S. Tags: Research and Applications Source Type: research

A web-based, patient-centered toolkit to engage patients and caregivers in the acute care setting: a preliminary evaluation
We implemented a web-based, patient-centered toolkit that engages patients/caregivers in the hospital plan of care by facilitating education and patient-provider communication. Of the 585 eligible patients approached on medical intensive care and oncology units, 239 were enrolled (119 patients, 120 caregivers). The most common reason for not approaching the patient was our inability to identify a health care proxy when a patient was incapacitated. Significantly more caregivers were enrolled in medical intensive care units compared with oncology units (75% vs 32%; P
Source: Journal of the American Medical Informatics Association - August 2, 2015 Category: Information Technology Authors: Dalal, A. K., Dykes, P. C., Collins, S., Lehmann, L. S., Ohashi, K., Rozenblum, R., Stade, D., McNally, K., Morrison, C. R., Ravindran, S., Mlaver, E., Hanna, J., Chang, F., Kandala, R., Getty, G., Bates, D. W. Tags: Brief Communication Source Type: research

A method for systematic discovery of adverse drug events from clinical notes
Conclusion This method demonstrates the feasibility of systematic post-marketing surveillance for ADEs using electronic medical records, a key component of the learning healthcare system. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 31, 2015 Category: Information Technology Authors: Wang, G., Jung, K., Winnenburg, R., Shah, N. H. Tags: Research and Applications Source Type: research

Normalizing clinical terms using learned edit distance patterns
Conclusions The novel method was found to perform much better than the MetaMap system and the cosine similarity based method in normalizing disease mentions in clinical text that did not exactly match in UMLS. The method is also general and can be used for normalizing clinical terms of other semantic types as well. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 31, 2015 Category: Information Technology Authors: Kate, R. J. Tags: Research and Applications Source Type: research

An In silico method to identify computer-based protocols worthy of clinical study: An Insulin infusion protocol use case
Objective Develop an efficient non-clinical method for identifying promising computer-based protocols for clinical study. An in silico comparison can provide information that informs the decision to proceed to a clinical trial. The authors compared two existing computer-based insulin infusion protocols: eProtocol-insulin from Utah, USA, and Glucosafe from Denmark.Materials and Methods The authors used eProtocol-insulin to manage intensive care unit (ICU) hyperglycemia with intravenous (IV) insulin from 2004 to 2010. Recommendations accepted by the bedside clinicians directly link the subsequent blood glucose values to ePro...
Source: Journal of the American Medical Informatics Association - July 30, 2015 Category: Information Technology Authors: Wong, A. F., Pielmeier, U., Haug, P. J., Andreassen, S., Morris, A. H. Tags: Research and Applications Source Type: research

Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations
Conclusions Our cross-case analysis yielded valuable insights regarding CBPR implementation in health informatics research and identified valuable lessons useful for future CBPR-based research. The benefits of applying CBPR approaches can be significant, particularly in engaging populations that are typically underserved by health care and in designing patient-facing technology. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 30, 2015 Category: Information Technology Authors: Unertl, K. M., Schaefbauer, C. L., Campbell, T. R., Senteio, C., Siek, K. A., Bakken, S., Veinot, T. C. Tags: Research and Applications Source Type: research

Impact of the HITECH act on physicians' adoption of electronic health records
Conclusion The authors find weak evidence of the impact of the MU program on EHR uptake. This is consistent with reports that many current EHR systems reduce physician productivity, lack data sharing capabilities, and need to incorporate other key interoperability features (e.g., application program interfaces). (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 30, 2015 Category: Information Technology Authors: Mennemeyer, S. T., Menachemi, N., Rahurkar, S., Ford, E. W. Tags: Research and Applications Source Type: research

Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research
Conclusions Existing phenotype authoring tools could enable clinical researchers to work with electronic health record data more efficiently, but gaps still exist in terms of the functionalities of such tools. The present work can serve as a reference point for the future development of similar tools. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 29, 2015 Category: Information Technology Authors: Xu, J., Rasmussen, L. V., Shaw, P. L., Jiang, G., Kiefer, R. C., Mo, H., Pacheco, J. A., Speltz, P., Zhu, Q., Denny, J. C., Pathak, J., Thompson, W. K., Montague, E. Tags: Review Source Type: research

Extracting relations from traditional chinese medicine literature via heterogeneous entity networks
Conclusion This study exploits the power of collective inference and proposes an HFGM based on heterogeneous entity networks, which significantly improved our ability to extract relations from TCM literature. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 29, 2015 Category: Information Technology Authors: Wan, H., Moens, M.-F., Luyten, W., Zhou, X., Mei, Q., Liu, L., Tang, J. Tags: Research and Applications Source Type: research

Learning from the crowd while mapping to LOINC
Conclusion When information about other institutions’ mappings was made available, study participants who accessed it agreed that it was useful and informed their mapping choices. Our findings suggest that a crowd-sourced repository of mappings is valuable to users who are mapping local terms to LOINC terms. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 29, 2015 Category: Information Technology Authors: Vreeman, D. J., Hook, J., Dixon, B. E. Tags: Research and Applications Source Type: research

Use of data mining at the food and drug administration
This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA).Target audience We address data miners in all sectors, anyone interested in the safety of products regulated by the FDA (predominantly medical products, food, veterinary products and nutrition, and tobacco products), and those interested in FDA activities.Scope Topics include routine and developmental data mining activities, short descriptions of mined FDA data, advantages and challenges of data mining at the FDA, and future directions of data mining at the FDA. (Source: Journal of the American Medical In...
Source: Journal of the American Medical Informatics Association - July 23, 2015 Category: Information Technology Authors: Duggirala, H. J., Tonning, J. M., Smith, E., Bright, R. A., Baker, J. D., Ball, R., Bell, C., Bright-Ponte, S. J., Botsis, T., Bouri, K., Boyer, M., Burkhart, K., Steven Condrey, G., Chen, J. J., Chirtel, S., Filice, R. W., Francis, H., Jiang, H., Levine, Tags: Review Source Type: research

KnowEnG: A knowledge engine for genomics
We describe here the vision, motivations, and research plans of the National Institutes of Health Center for Excellence in Big Data Computing at the University of Illinois, Urbana-Champaign. The Center is organized around the construction of "Knowledge Engine for Genomics" (KnowEnG), an E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data. The scientist will come to KnowEnG with their own data sets in the form of spreadsheets and ask KnowEnG to analyze those data sets in the ...
Source: Journal of the American Medical Informatics Association - July 23, 2015 Category: Information Technology Authors: Sinha, S., Song, J., Weinshilboum, R., Jongeneel, V., Han, J. Tags: Brief Communication Source Type: research

SMART on FHIR Genomics: Facilitating standardized clinico-genomic apps
Conclusion This prototyping work suggests that an entirely data (and web) standards-based approach could prove both effective and efficient for advancing personalized medicine. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 21, 2015 Category: Information Technology Authors: Alterovitz, G., Warner, J., Zhang, P., Chen, Y., Ullman-Cullere, M., Kreda, D., Kohane, I. S. Tags: Brief Communication Source Type: research

Big Biomedical data as the key resource for discovery science
Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an "-ome to home" approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors develop...
Source: Journal of the American Medical Informatics Association - July 21, 2015 Category: Information Technology Authors: Toga, A. W., Foster, I., Kesselman, C., Madduri, R., Chard, K., Deutsch, E. W., Price, N. D., Glusman, G., Heavner, B. D., Dinov, I. D., Ames, J., Van Horn, J., Kramer, R., Hood, L. Tags: Brief Communication Source Type: research

OrderRex: Clinical order decision support and outcome predictions by data-mining electronic medical records
Objective: To answer a "grand challenge" in clinical decision support, the authors produced a recommender system that automatically data-mines inpatient decision support from electronic medical records (EMR), analogous to Netflix or Amazon.com’s product recommender.Materials and Methods: EMR data were extracted from 1 year of hospitalizations (>18K patients with>5.4M structured items including clinical orders, lab results, and diagnosis codes). Association statistics were counted for the ~1.5K most common items to drive an order recommender. The authors assessed the recommender’s ability to pred...
Source: Journal of the American Medical Informatics Association - July 21, 2015 Category: Information Technology Authors: Chen, J. H., Podchiyska, T., Altman, R. B. Tags: Research and Applications Source Type: research

Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes
Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 17, 2015 Category: Information Technology Authors: Nelson, L. A., Mulvaney, S. A., Gebretsadik, T., Ho, Y.-X., Johnson, K. B., Osborn, C. Y. Tags: Research and Applications Source Type: research

Serious Games for improving knowledge and self-management in young people with chronic conditions: A systematic review and meta-analysis
Conclusions The authors’ meta-analysis shows that educational video games can be effective in improving knowledge and self-management in young people with chronic conditions. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 17, 2015 Category: Information Technology Authors: Charlier, N., Zupancic, N., Fieuws, S., Denhaerynck, K., Zaman, B., Moons, P. Tags: Reviews Source Type: research

The Impact of Health Information Technology on Cancer Care across the Continuum: A Systematic Review and Meta-Analysis
Conclusion Based on current evidence, HIT interventions seem to be more successful when targeting physicians, care in the prevention phase of the cancer continuum, and/or decision making. An agenda for future research is discussed. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 15, 2015 Category: Information Technology Authors: Tarver, W. L., Menachemi, D. Tags: Review Source Type: research

Readability assessment of patient-provider electronic messages in a primary care setting
Conclusion Our study demonstrates that most providers are able to respond to patient electronic messages with a matching reading level. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 15, 2015 Category: Information Technology Authors: Mirsky, J. B., Tieu, L., Lyles, C., Sarkar, U. Tags: Brief Communication Source Type: research

The NIH BD2K center for big data in translational genomics
The world’s genomics data will never be stored in a single repository – rather, it will be distributed among many sites in many countries. No one site will have enough data to explain genotype to phenotype relationships in rare diseases; therefore, sites must share data. To accomplish this, the genetics community must forge common standards and protocols to make sharing and computing data among many sites a seamless activity. Through the Global Alliance for Genomics and Health, we are pioneering the development of shared application programming interfaces (APIs) to connect the world’s genome repositories....
Source: Journal of the American Medical Informatics Association - July 13, 2015 Category: Information Technology Authors: Paten, B., Diekhans, M., Druker, B. J., Friend, S., Guinney, J., Gassner, N., Guttman, M., James Kent, W., Mantey, P., Margolin, A. A., Massie, M., Novak, A. M., Nothaft, F., Pachter, L., Patterson, D., Smuga-Otto, M., Stuart, J. M., Van't Veer, L., Wold, Tags: Brief Communication Source Type: research

Sometimes More Is More: Iterative participatory design of infographics for engagement of community members with varying levels of health literacy
Conclusion Carefully designed infographics can be useful tools to support comprehension and thus help patients engage with their own health data. Infographics may contribute to patients’ ability to participate in the Learning Health System through participation in the development of a robust data utility, use of clinical communication tools for health self-management, and involvement in building knowledge through patient-reported outcomes. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 13, 2015 Category: Information Technology Authors: Arcia, A., Suero-Tejeda, N., Bales, M. E., Merrill, J. A., Yoon, S., Woollen, J., Bakken, S. Tags: Research and Applications Source Type: research

Consolidating CCDs from multiple data sources: A modular approach
Conclusion Given increasing adoption and use of health information exchange (HIE) to share data and information across the care continuum, duplication of information is inevitable. A novel system designed to support automated consolidation and de-duplication of information across clinical documents as they are exchanged shows promise. Future work is needed to expand the capabilities of the system and further test it using heterogeneous vocabularies across multiple HIE scenarios. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 13, 2015 Category: Information Technology Authors: Hosseini, M., Meade, J., Schnitzius, J., Dixon, B. E. Tags: Research and Applications Source Type: research

"Community Vital Signs": Incorporating geocoded social determinants into electronic records to promote patient and population health
Social determinants of health significantly impact morbidity and mortality; however, physicians lack ready access to this information in patient care and population management. Just as traditional vital signs give providers a biometric assessment of any patient, "community vital signs" (Community VS) can provide an aggregated overview of the social and environmental factors impacting patient health. Knowing Community VS could inform clinical recommendations for individual patients, facilitate referrals to community services, and expand understanding of factors impacting treatment adherence and health outcomes. Th...
Source: Journal of the American Medical Informatics Association - July 13, 2015 Category: Information Technology Authors: Bazemore, A. W., Cottrell, E. K., Gold, R., Hughes, L. S., Phillips, R. L., Angier, H., Burdick, T. E., Carrozza, M. A., DeVoe, J. E. Tags: Perspectives Source Type: research

Engaging adolescents in a computer-based weight management program: avatars and virtual coaches could help
Conclusions This study provides evidence supporting the use of avatars and virtual agents, designed using participatory approaches, to be included in the continuum of care. Increased probability of engagement and long-term retention of overweight, obese adolescent users and suggests expanding current chronic care models toward more comprehensive, socio-technical representations. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 9, 2015 Category: Information Technology Authors: LeRouge, C., Dickhut, K., Lisetti, C., Sangameswaran, S., Malasanos, T. Tags: Research and Applications Source Type: research

WebDISCO: A web service for distributed cox model learning without patient-level data sharing
Conclusions WebDISCO (Web-based Distributed Cox Regression Model; https://webdisco.ucsd-dbmi.org:8443/cox/) provides a proof-of-concept web service that implements a distributed algorithm to conduct distributed survival analysis without sharing patient level data. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 9, 2015 Category: Information Technology Authors: Lu, C.-L., Wang, S., Ji, Z., Wu, Y., Xiong, L., Jiang, X., Ohno-Machado, L. Tags: Research and Applications Source Type: research

Overcoming barriers to implementing patient-reported outcomes in an electronic health record: a case report
The objective was to identify lessons learned in overcoming barriers to collecting and integrating patient-reported outcomes in an electronic health record. The authors analyzed qualitative data in 42 documents collected from system development meetings, written feedback from users, and clinical observations with practice staff, providers, and patients. Guided by the Unified Theory on the Adoption and Use of Information Technology, 5 emergent themes were identified. Two barriers emerged: (i) uncertain clinical benefit and (ii) time, work flow, and effort constraints. Three facilitators emerged: (iii) process automation, (i...
Source: Journal of the American Medical Informatics Association - July 9, 2015 Category: Information Technology Authors: Harle, C. A., Listhaus, A., Covarrubias, C. M., Schmidt, S. O., Mackey, S., Carek, P. J., Fillingim, R. B., Hurley, R. W. Tags: Case Report Source Type: research

A System to Build Distributed Multivariate Models and Manage Disparate Data Sharing Policies: Implementation in the Scalable National Network for Effectiveness Research
Conclusion Federated research networks need not limit distributed query functionality to count queries, cohort discovery, or independently estimated analytic models. Multivariate analyses can be efficiently and securely conducted without patient-level data transport, allowing institutions with strict local data storage requirements to participate in sophisticated analyses based on federated research networks. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 3, 2015 Category: Information Technology Authors: Meeker, D., Jiang, X., Matheny, M. E., Farcas, C., D'Arcy, M., Pearlman, L., Nookala, L., Day, M. E., Kim, K. K., Kim, H., Boxwala, A., El-Kareh, R., Kuo, G. M., Resnic, F. S., Kesselman, C., Ohno-Machado, L. Tags: Research and Applications Source Type: research

Center of excellence for mobile sensor Data-to-Knowledge (MD2K)
Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. The research conducted by MD2K is targeted at improving health...
Source: Journal of the American Medical Informatics Association - July 3, 2015 Category: Information Technology Authors: Kumar, S., Abowd, G. D., Abraham, W. T., al'Absi, M., Gayle Beck, J., Chau, D. H., Condie, T., Conroy, D. E., Ertin, E., Estrin, D., Ganesan, D., Lam, C., Marlin, B., Marsh, C. B., Murphy, S. A., Nahum-Shani, I., Patrick, K., Rehg, J. M., Sharmin, M., She Tags: Brief Communication Source Type: research

CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record
Conclusion Heterogeneity of genetic information flow and importance of source laboratory, rather than clinical content, as a determinant of information representation are major barriers to using genetic information optimally in patient care. Greater effort to develop interoperable systems to receive and consistently display genetic and/or genomic information and alert clinicians to genomic-dependent improvements to clinical care is recommended. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 3, 2015 Category: Information Technology Authors: Shirts, B. H., Salama, J. S., Aronson, S. J., Chung, W. K., Gray, S. W., Hindorff, L. A., Jarvik, G. P., Plon, S. E., Stoffel, E. M., Tarczy-Hornoch, P. Z., Van Allen, E. M., Weck, K. E., Chute, C. G., Freimuth, R. R., Grundmeier, R. W., Hartzler, A. L., Tags: Research and Applications Source Type: research

Assessing payer perspectives on health information exchange
Conclusion Despite variation in the extent to which payers engaged with current HIE efforts, there was agreement on the vision of optimal HIE and the facilitators of greater payer engagement. Specific actions by those leading HIE efforts, complemented by policy efforts nationally, could greatly increase payer engagement and enhance HIE sustainability. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 3, 2015 Category: Information Technology Authors: Cross, D. A., Lin, S. C., Adler-Milstein, J. Tags: Research and Applications Source Type: research

Impact of electronic diabetes registry 'Meaningful Use' on quality of care and hospital utilization
Objective To investigate whether the use of diabetes registries meeting Meaningful Use core objectives in primary care practices is associated with differences in quality of care and hospital utilization rates.Materials and methods A practice assessment survey was conducted to identify whether and how practices were using diabetes registries. Insurance claims data from 2010 were used to compare the health outcomes of patients from practices that used diabetes registries meeting Meaningful Use–related objectives to the outcomes of patients from other practices. Logistic hierarchical linear modeling was used to analyze...
Source: Journal of the American Medical Informatics Association - July 2, 2015 Category: Information Technology Authors: Han, W., Sharman, R., Heider, A., Maloney, N., Yang, M., Singh, R. Tags: Research and Applications Source Type: research

The Center for causal discovery of biomedical knowledge from Big Data
The Big Data to Knowledge (BD2K) Center for Causal Discovery is developing and disseminating an integrated set of open source tools that support causal modeling and discovery of biomedical knowledge from large and complex biomedical datasets. The Center integrates teams of biomedical and data scientists focused on the refinement of existing and the development of new constraint-based and Bayesian algorithms based on causal Bayesian networks, the optimization of software for efficient operation in a supercomputing environment, and the testing of algorithms and software developed using real data from 3 representative driving...
Source: Journal of the American Medical Informatics Association - July 2, 2015 Category: Information Technology Authors: Cooper, G. F., Bahar, I., Becich, M. J., Benos, P. V., Berg, J., Espino, J. U., Glymour, C., Jacobson, R. C., Kienholz, M., Lee, A. V., Lu, X., Scheines, R., the Center for Causal Discovery team Tags: Brief Communication Source Type: research

Preparing a collection of radiology examinations for distribution and retrieval
Conclusion Stringent de-identification methods can remove all identifiers from text radiology reports. DICOM de-identification of images does not remove all identifying information and needs special attention to images scanned from film. Adding manual coding to the radiologist narrative reports significantly improved relevancy of the retrieved clinical documents. The de-identified Indiana chest X-ray collection is available for searching and downloading from the National Library of Medicine (http://openi.nlm.nih.gov/). (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - July 2, 2015 Category: Information Technology Authors: Demner-Fushman, D., Kohli, M. D., Rosenman, M. B., Shooshan, S. E., Rodriguez, L., Antani, S., Thoma, G. R., McDonald, C. J. Tags: Research and Applications Source Type: research

Dynamic software design for clinical exome and genome analyses: insights from bioinformaticians, clinical geneticists, and genetic counselors
Conclusions Successful adoption of a clinical WES/WGS system is heavily dependent on its ability to address the diverse necessities and predilections among specialists in distinct healthcare domains. Tailored software interfaces suitable for each group is likely more appropriate than the current popular "one size fits all" generic framework. This study provides interfaces for future intervention studies and software engineering opportunities. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 27, 2015 Category: Information Technology Authors: Shyr, C., Kushniruk, A., van Karnebeek, C. D. M., Wasserman, W. W. Tags: Research and Applications Source Type: research

An Empirical analysis of the financial benefits of health information exchange in emergency departments
Conclusions The results indicate that access to additional clinical data through the HIE will significantly reduce the number of laboratory tests and radiology examinations performed in the ED settings and thus support the ongoing HIE efforts. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 27, 2015 Category: Information Technology Authors: Yaraghi, N. Tags: Brief Communication Source Type: research

The center for expanded data annotation and retrieval
The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of metadata from which we plan to identify metadata patterns that will drive predictive data entry when filling in metadata templates. The met...
Source: Journal of the American Medical Informatics Association - June 25, 2015 Category: Information Technology Authors: Musen, M. A., Bean, C. A., Cheung, K.-H., Dumontier, M., Durante, K. A., Gevaert, O., Gonzalez-Beltran, A., Khatri, P., Kleinstein, S. H., O'Connor, M. J., Pouliot, Y., Rocca-Serra, P., Sansone, S.-A., Wiser, J. A., the CEDAR team Tags: Brief Communication Source Type: research

Design and implementation of a privacy preserving electronic health record linkage tool in chicago
Conclusions Software that standardizes the assignment of a unique seeded hash identifier merged through an agreed upon third-party honest broker can enable large-scale secure linkage of EHR data for epidemiologic and public health research. The software algorithm can improve future epidemiologic research by providing more comprehensive data given that patients may make use of multiple healthcare systems. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 23, 2015 Category: Information Technology Authors: Kho, A. N., Cashy, J. P., Jackson, K. L., Pah, A. R., Goel, S., Boehnke, J., Humphries, J. E., Kominers, S. D., Hota, B. N., Sims, S. A., Malin, B. A., French, D. D., Walunas, T. L., Meltzer, D. O., Kaleba, E. O., Jones, R. C., Galanter, W. L. Tags: Research and Applications Source Type: research

National veterans health administration inpatient risk stratification models for hospital-acquired acute kidney injury
Conclusions This study demonstrated that, although all the models tested had good discrimination, performance characteristics varied between methods, and the random forests models did not calibrate as well as the lasso or logistic regression models. In addition, novel modifiable risk factors were explored and found to be significant. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 23, 2015 Category: Information Technology Authors: Cronin, R. M., VanHouten, J. P., Siew, E. D., Eden, S. K., Fihn, T. S. D., Nielson, C. D., Peterson, J. F., Baker, C. R., Ikizler, T. A., Speroff, T., Matheny, M. E. Tags: Research and Applications Source Type: research

Cross-Vendor evaluation of key user-defined clinical decision support capabilities: A scenario-based assessment of certified electronic health records with guidelines for future development
Conclusion Significant improvements in the EHR certification and implementation procedures are necessary. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 23, 2015 Category: Information Technology Authors: McCoy, A. B., Wright, A., Sittig, D. F. Tags: Research and Applications Source Type: research

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials
Objective To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochrane Risk of Bias (RoB) tool, and extract supporting text for these judgments.Methods We algorithmically annotated 12,808 trial PDFs using data from the Cochrane Database of Systematic Reviews (CDSR). Trials were labeled as being at low or high/unclear risk of bias for each domain, and sentences were labeled as being informative or not. This dataset was used to train a multi-task ...
Source: Journal of the American Medical Informatics Association - June 22, 2015 Category: Information Technology Authors: Marshall, I. J., Kuiper, J., Wallace, B. C. Tags: Research and Applications Source Type: research

Improving prediction of fall risk among nursing home residents using electronic medical records
Conclusions Incorporating EMR data improves ability to identify those at highest risk for falls relative to prediction using MDS data alone. These improvements stem chiefly from the greater frequency with which EMR data are updated, with minimal additional gains from availability of additional risk factor variables. (Source: Journal of the American Medical Informatics Association)
Source: Journal of the American Medical Informatics Association - June 22, 2015 Category: Information Technology Authors: Marier, A., Olsho, L. E. W., Rhodes, W., Spector, W. D. Tags: Research and Applications Source Type: research