The tools may be developed in a variety of platforms for use by individuals, informal caregivers, healthcare professionals, or administrators. Tools to facilitate the translation of “‘omic” data to guide health care decision making and health-related behaviors are particularly timely..
The List of Reviewers lists all present, whether permanent or temporary, to provide the full scope of expertise present on that date. Lists are posted 30 days before the meeting and are tentative, pending any last minute changes.
- Clinical decision support and computer-mediated diagnosis and treatment tools, including telehealth and mobile health (mHealth), for the improvement of health and healthcare.
- Development and evaluation of methods for the analysis of social networks and social media for clinical, social, and behavioral outcomes.
- Development and application of natural language processing, controlled vocabularies, ontologies, machine learning, data visualization, advanced computing architectures, and health information exchanges for the analysis of clinical information and clinical decision support.
- Tools and methods to facilitate electronic data capture, management, mining, and analysis of health data in personal and professional health records, mobile devices, and population-based databases.
- Development, validation, and use of systems that integrate and manage data from multiple datasets (including image, “omic”, EMH/EHR, and other data sets) for clinical data support.
- Development, evaluation, and validation of mobile health (mHealth) platforms and apps; integration of mobile sensors, platforms, wearables, and databases into systems; studies of mHealth approaches for subject recruitment, retention, and adherence.
- Development of methods for data security and privacy in EHRs/EMRs and other health record databases, and for clinical aspects of precision medicine, including clinical decision support.
Shared Interests and Overlaps
HDM 11 and RPHB 10 and RPHB 12 have shared interests in health information and communication technologies for clinical and patient outcomes. Applications that are focused on testing the feasibility, acceptance and effectiveness of these technologies are typically assigned to RPHB. Applications that are focused on the development, validation and initial user or feasibility testing of new technologies are assigned to HDM 11. HDM 11 also focuses on the development of clinical tools and their underlying technological ecosystems including software development and refinement, database development and innovative data integration and visualization methods. Clinical tools include but are not limited to applications for clinical decision support, mHealth, telehealth, electronic health record improvement and precision medicine.
HDM 11 and IMST 14 have shared interests in bioinformatics tools, software and systems engineering, healthcare data management and data mining. Applications that are focused on computational modeling, advanced statistical methods for data analysis, imaging analysis methods and systems biology and modeling are typically assigned to IMST 14. Applications which propose, for clinical decision support, to develop, apply, or refine: computational modeling; advanced statistical methods for data analysis; ontologies; human-computer interaction and user interface design methods; machine learning; or natural language processing are typically assigned to HDM 11. Applications which propose to apply biomedical datasets, including “omic” datasets, along with clinical data for clinical decision support are typically assigned to HDM 11.
HDM 11 and SBIB 11 have shared interests in innovative biomedical sensing and measurement. Applications that are focused on advanced development and design of biomedical sensing technologies, devices and systems are assigned to SBIB 11. Applications that are testing new sensing devices for clinical effectiveness may be assigned to HDM 11.