Health information and Technology encompasses both human and technical factors that influence collection and use of health information. This theme seeks to develop solutions to identify barriers to, and promote facilitation of, health information exchange primarily by applying insights from social, clinical, and behavioral sciences. This dynamic field is evolving quickly and includes issues which span individuals interacting with tools that enable the collection and use of personal health information to specialized knowledge and skills required to support development, adoption, and use of health information systems (e.g. electronic health records, patient portals). This broad area covers information science, health education, communication, and clinical care delivery for inpatient and ambulatory care settings. Multiple LIS faculty members undertake research in related areas, including, but not limited to:
• Theory and methodology supporting investigations concerning the generation, storage, retrieval, and use of health data, information and knowledge
• Health IT adoption and use
• Health IT evaluation
• Data Science in Health
• Decision Science
Affiliated faculty:
• Kaitlin Costello
• Sunyoung Kim
• Charles Senteio