Biomedical Informatics Courses
INFO-B 101 Introduction to Biomedical Informatics (3 cr.) This course introduces principles underpinning biomedical informatics, including concepts from anatomy and physiology, cellular and molecular biology, clinical decision support, comparative -omics, computer programming, database concepts, DNA, RNA, and protein data and their applications, electronic health records, healthcare delivery, machine learning, and natural language processing.
INFO-B 205 Topics in Biomedical Informatics (1-6 cr.) This course covers special topics in biomedical informatics, including recent trends in the field.
INFO-B 211 Information Infrastructure II (4 cr.) P: INFO-B210 This course focuses on more advanced web application development than those in INFO-B 210 using the Python language and environment. It uses methodologies such as object-oriented programming and pattern based design to discuss how to develop relatively advanced, reliable, and reusable web applications.Note: This course involves programming in Python using biomedical data. It is especially suitable for life and health science majors, such as students in the Bachelor of Science in Biomedical Informatics.
INFO-B 405 Social Foundations of Biomedical Informatics (3 cr.) This course introduces the economics of information businesses and societies. It examines how the use of information and information technology is influenced by laws and regulations, the ownership of intellectual property, and organizational culture.
INFO-B 406 Biomedical Informatics (3 cr.) Course covers the latest biomedical informatics concepts, technologies, policies, and skills, including infrastructure and data management, imageanalytics, visualization, and API design and implementation for healthcare. Students analyze healthcare and biomedical information, infer outcomes from data processing and analysis, and master the tools required for biomedical data analytics.
INFO-B 413 The Design, Implementation, and Evaluation of Electronic Health Record Systems (3 cr.) Students learn how to design, implement, and evaluate electronic health record (EHR) system and how to use technology to support their data acquisition, storage, reuse, interoperability, exchange, and analysis. They also evaluate their legal, ethical, and regulatory implications and learn how to build teams to manage their implementation in healthcare organizations.
INFO-B 429 Machine Learning for Bioinformatics (3 cr.) Course covers machine learning theories and methods and their application to biological sequence analysis, gene expression data analysis, genomics and proteomics data analysis, and other problems in bioinformatics.
INFO-B 430 Introduction to Health Informatics (3 cr.) This course introduces the foundations of health informatics. It reviews how information science and computer technology can be applied to enhance research and practice in healthcare. The basic principles of informatics that govern communication systems, clinical decisions, information retrieval, telemedicine, bioinformatics and evidence-based medicine will be explored.
INFO-B 435 Clinical Information Systems (3 cr.) This course covers human-computer interface and systems design, healthcare decision support and clinical guidelines, system selection, organizational issues in system integration, project management for information technology change, system evaluation, regulatory policies, impact of the Internet, economic impacts of e-health, distributed healthcare information technologies, and future trends.
INFO-B 436 Computational Methods for Biomedical Informatics (3 cr.) Course covers algorithm design, algorithm analysis, and complexity analysis and their applications in biomedical informatics.
INFO-B 441 Business of Health Informatics (3 cr.) Course examines the economic impact of the adoption of healthcare information technology. Students explore its role as a strategic asset and analyze its return on investment to make a case for investment. Topics include decision support system, barcode tracking, electronic health records, and pay-for-performance incentives.
INFO-B 442 Clinical Decision Supports Systems (3 cr.) Course examines clinical decision support systems (CDSS), both the current state of the art and their historical development. Topics include the application of CDSS to clinical practice, patient-centered CDSS, clinical vocabularies, legal and ethical issues, and mathematical foundations of the knowledge-based and pattern recognition systems.
INFO-B 443 Natural Language Processing (3 cr.) P: INFO-B 210 OR CSCI-A 204 OR CSCI-C 200 OR CSCI 23000; Recommended: Statistics (ECON-E 270 or PBHL-B 280 or PBHL-B 300 or PBHL-B 301 or PBHL-B 302 or PSY-B 305 or SPEA-K 300 or STAT-I301 or STAT- I350) OR INFO-I 415 This course introduces the theory and methodology of natural language understanding and generation. Topics include stemming, lemmatization, parts of speech tagging, parsing, and machine translation. Employing specialized libraries, students develop applications for topic modeling, sentiment analysis, and text summarization.
INFO-B 444 Consumer Health Informatics (3 cr.) Course explores how technologies are used to deliver healthcare to the public. Topics include access to patient data and privacy issues, consumer access to clinical information and current research, the design and development of consumer health information resources, health literacy and health information literacy, information quality, and models for information delivery, including the Internet.
INFO-B 473 Application Programming for Biomedical Data Analysis (3 cr.) Course covers Perl, R, and SQL programming for analyzing biomedical datasets. It includes Unix system administration, MySQL database management, and the R statistical package. Students learn which computational approach to take in developing translational applications to solve biomedical problems.
INFO-B 474 Next Generation Sequencing Data Analysis (3 cr.) Course covers basic concepts of genomic sequencing datasets from several sequencing platforms, including how the data motivates computational needs and methods for analysis. Students learn how to devise approaches for analyzing massive clinical and biomedical sequencing datasets and for developing sound hypotheses and predictions from them.
INFO-B 481 Health Information Standards and Terminologies (3 cr.) Health information standards specify representation of health information for communication between information systems. Standards not only standardize data formats, but also the conceptualizations underlying the data structures. The design process of data standards, domain analysis, conceptualization, modeling, and the methods and tools commonly used are explored.
INFO-B 482 Health Information Exchange (3 cr.) Course introduces health information exchange (HIE), the electronic transfer of administrative and clinical information among healthcare organizations. Students examine strategic, organizational, legal, technical, and sociopolitical aspects of HIE initiatives in the U.S. and abroad, including their impact on healthcare quality, safety, efficiency, and cost.
INFO-B 483 Security and Privacy Policies and Regulations for Healthcare (3 cr.) Course discusses privacy and security regulations for healthcare information transactions including policy, procedures, guidelines, security architectures, risk assessments, disaster recovery, and business continuity. Particular attention is given to the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act.
