Showing papers in "Journal of the American Medical Informatics Association in 2013"

TL;DR: Researchers interested in the reuse of EHR data for clinical research are recommended to consider the adoption of a consistent taxonomy of E HR data quality, to remain aware of the task-dependence of dataquality, and to integrate work on data quality assessment from other fields.

TL;DR: The path forward requires studying the EHR as an object of interest in itself, and it is believed that new models, learning from data, and collaboration will lead to efficient use of the valuable information currently locked in health records.

TL;DR: These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems.

TL;DR: A corpus of discharge summaries annotated with temporal information was provided to be used for the development and evaluation of temporal reasoning systems, and the best systems overwhelmingly adopted a rule based approach for value normalization.

TL;DR: Findings point to potential benefits of mobile monitoring methods during behavioral weight loss trials as well as ways to predict which self-monitoring method works best for an individual to increase adherence.

TL;DR: Validation is a worthwhile process that not only measures phenotype performance but also strengthens phenotype algorithm definitions and enhances their inter-institutional sharing.

TL;DR: The findings suggest that CPOE can substantially reduce the frequency of medication errors in inpatient acute-care settings; however, it is unclear whether this translates into reduced harm for patients.

TL;DR: Key lessons learned from designing and evaluating the implementation of large-scale health information technology interventions in the USA and the UK are highlighted in the hope of informing the on-going international efforts of policymakers, health directorates, healthcare management, and senior clinicians.

TL;DR: This article provides a thorough review of current methods for histopathological whole-slide imaging informatics methods, associated challenges, and future research opportunities and presents a case study to illustrate a clinical decision support system that begins with quality control and ends with predictive modeling for several cancer endpoints.

TL;DR: An Electronic Medical Records Working Group comprised of both expert clinicians and medical information technology specialists, to make recommendations for developers, vendors, and users of EHR systems with respect to transgender patients are presented.

TL;DR: To maintain the level of privacy afforded by medical records and to achieve alignment with patients' preferences, patients should have granular privacy control over information contained in their EMR.

TL;DR: Electronic health records (EHRs) can accelerate clinical research and genomic medicine, but are hindered by the limited number of validated processes and tools to enable accurate and rapid phenotype extraction.

TL;DR: It is found that anonymized signals on drug interactions can be mined from search logs, and logs of the search activities of populations of computer users can contribute to drug safety surveillance.

TL;DR: A nurse-led, multidisciplinary health team can manage a population of diabetic patients in an online disease management program and achieve improvement in A1C.

TL;DR: Recommendations and considerations of an expert panel on DDI resulted in the creation of a list of 33 class-based low-priority DDI that do not warrant being interruptive alerts in EHR.

TL;DR: SM within a portal may facilitate access to care, enhance the quality of office visits, and be associated with patient satisfaction and clinical outcomes for patients with diabetes, but provider communication about SM is essential.

TL;DR: The NIH Collaboratory is introduced, focusing on its Phenotype, Data Standards, and Data Quality Core, and early observations from researchers implementing PCTs within large healthcare systems are presented, identifying gaps in knowledge and presenting an informatics research agenda.

TL;DR: Social media play an important role in the social life of teenage patients and enable young patients to be “regular” teenagers, which is an expression of their need for self-definition and self-protection.

TL;DR: A signal-detection strategy that combines the adverse event reporting system (AERS) of the Food and Drug Administration and electronic health records (EHRs) by requiring signaling in both sources is proposed.

TL;DR: The capabilities of CDSA are demonstrated using TCGA datasets to integrate pathology imaging with associated clinical, genomic and MRI measurements in glioblastomas and can be extended to other tumor types.

TL;DR: This project takes a foundational step towards bringing the field of clinical NLP up to par with NLP in the general domain and provides a resource for research and application development that would have been previously impossible.

TL;DR: The arrival of ultra-cheap data collection and processing technologies is fundamentally changing the face of healthcare, with clinical and administrative health data being complemented with a range of *omics data, where genomics and proteomics are currently leading the charge.

TL;DR: An algorithm that uses a combination of elements to identify chronic pain patients accurately using electronic health records (EHR) data at a multisite community health center is developed and validated.

TL;DR: The results support the use of ICD-9 tobacco use codes for identifying smokers in a clinical population and with some limitations, these codes are suitable for adjustment of smoking status in genetic studies utilizing electronic health records.

TL;DR: The TLink extraction module contains three individual classifiers for TLinks: between events and section times, within a sentence, and across different sentences, and the performance of the system was evaluated using scripts provided by the i2b2 organizers.

TL;DR: This study demonstrated that AL can be useful in ML-based phenotyping methods and that AL and feature engineering based on domain knowledge could be combined to develop efficient and generalizable phenotypesing methods.

TL;DR: The added value of NLP for the recognition and normalization of diseases with MetaMap and Peregrine is shown and the NLP module is general and can be applied in combination with any concept normalization system.

TL;DR: A data-normalization platform that ensures data security, end-to-end connectivity, and reliable data flow within and across institutions is developed and demonstrated by executing a QDM-based MU quality measure that determines the percentage of patients between 18 and 75 years with diabetes whose most recent low-density cholesterol test result during the measurement year was <100 mg/dL.

TL;DR: Evaluating systems for estimating and preventing wrong-patient electronic orders in computerized physician order entry systems with a two-phase study found that electronic interventions can reduce the risk of these errors occurring.

TL;DR: The findings indicate that training, experience, and abilities are important when using complex health websites, however, training alone is not sufficient and the complexity of web content needs to be considered to ensure successful use of these websites by those with lower abilities.