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Biomedical Computing and Health Informatics Study Section [BCHI]

The Biomedical Computing and Health Informatics (BCHI) Study Section reviews applications that collect, integrate, analyze, and interpret multi-platform clinical and biological data to support clinical decisions, and applications that develop, validate, and use the digital health, informatics technology, and computational methodology in healthcare services. The research areas include clinical informatics, clinical research informatics, translational bioinformatics for precision medicine (prediction, diagnosis, and treatment of disease), consumer health informatics, and mobile/wireless health (mHealth) and biosensor technology for clinical use. Applications driven by clinical utility with focus on computing and informatics methodology and mHealth technology development are appropriate. Applications often involve the development and application of computing and informatics technology to be disseminated to clinicians and patients or translating the newly found knowledge from big data analytics to support clinical decisions.​​

Rosters

Topics

  • Computing and modeling of multi-source large-scale data that integrates clinical with biological and genomics, software development for clinical use, such as, bioinformatics for disease prediction, diagnosis, and individualized treatment, digital health, public health bio-surveillance system, and management of integrated database related to clinical use.
  • Development, validation, and application of mobile and wireless health (mHealth) and biosensor technology; integration of mobile sensor/device design, software or smartphone App development; and use of sensor data integrated with clinical data for clinical decision support; use of mHealth or telehealth technology in patient monitoring, patient-provider communications, and adherence to treatment.
  • Data mining and analytics method development including natural language processing, machine learning/artificial intelligence, ontologies, data visualization, computational modeling or simulation of the clinical data, computing architecture design, and clinical data privacy and data security in the multi-centered clinical research network. The data source or database may be high dimensional and large scale, may include electronic health records, clinical notes, clinical imaging (pathological, radiological etc.), drugs, ‘omics and biomarker data, social media, and behavioral phenotypes.
  • Biomedical software engineering for clinical use, including the development and validation of the tools/software packages on diverse technology platforms (e.g. mobile, cloud, distributed network).
  • Consumer health informatics that develops technology for patients/consumers self-health management, and models and integrates patients' preferences into health information systems.

Shared Interests and Overlaps

There are shared interests with Biostatistical Methods and Research Design (BMRD) in data analysis and methodology development. Applications which focus on the development of scalable statistical methods for analysis of multiple datasets (e.g. imaging, genomics, electronic health data, etc.) or the development and dissemination of statistical methods as software packages are typically reviewed in BMRD. Applications that focus on informatics, computational method, and software or tool development that can be used in clinical practice or be disseminated to the clinicians and patients are reviewed in BCHI.

There are shared interests with Biodata Management and Analysis (BDMA) in data modeling and software development. Applications which focus on biological and pre-clinical research and discovery are reviewed in BDMA. Applications that have clinical utility or for clinical decision support are reviewed in BCHI.

There are shared interests with BDMA, BMRD, Biomedical Imaging Technology A (BMIT-A) , Biomedical Imaging Technology B (BMIT-B) , and Medical Imaging (MEDI) in image analysis. Applications which focus on the development, validation, and use of computing or informatics systems integrating data from multiple datasets, including imaging, electronic health records or ‘omics etc., for clinical decision support are reviewed in BCHI. Applications which develop image databases are reviewed in BDMA. Applications which focus on the development of statistical methods for scalable image analysis are reviewed in BMRD. Applications which focus on new software and database development as related to image acquisition, processing, reconstruction, or analysis are reviewed in BMIT-A. Applications that develop analysis methods and tools for imaging datasets, especially in a preclinical setting are reviewed in BMIT-B. Applications focus on imaging technologies in the clinical evaluation, including therapeutic responses, are reviewed in MEDI.

There are shared interests with Bioengineering, Technology, and Surgical Sciences (BTSS) and Instrumentation and Systems Development (ISD) in biosensor research. Applications that focus on developing and/or testing medical instrumentation, sensors, and tools relevant to surgical systems are reviewed in BTSS. Applications that have a substantial engineering or hardware component development are reviewed in ISD. Applications which involve developing the mHealth platform, integrating biosensor device with software/App development and sensor data analysis to help clinical decisions (e.g. monitoring, interactive communication, patient self-care etc.) are reviewed in BCHI.