Research

  • Clinical Informatics: Computational techniques to support Algorithmic medicine and medical decision-making
    • GuideVue technology for authoring and presenting interactive structured multi-modal clinical guidelines for use by non-physician care providers ranging from astronauts in deep space missions to community health workers in developing countriesGuideVue is cross-platform, executing on the web, standalone windows, PDAs, and cell phones
    • The medical algorithms project, at http://www.medal.org (in association with John R Svirbely, MD) a web-based repository of over 11,000 scales, scores, formulae and other computational techniques in over 45 different areas of health care
    • VITAVisualization techniques to enhance understanding of non-linearity in medical decision-making
  • Symbolic Systems Biology: Mathematical and computational modeling of biological processes and pathways
    • Signaling mechanisms in Multiple Organ Failure and other clinical consequences of trauma (with Drs David W Mercer, Rosemary Kozar et al, Trauma Research Center, UTH Medical School
    • The morphoproteomic approach in cancer research (With Dr Robert Brown, UTH Department of Pathology)
    • Pathway Logic in Neurobiology (With Douglas Baxter et al UTH Neurobiology, and Carolyn Talcott, SRI International)
    • Pathway Logic in signal transduction (with Carolyn Talcott, SRI International)
    • Cytoview. In silico representations of the morphology of biological cells (with Nagasuma Chandra and N Balakrishnan, Indian Inst. of Science, Bangalore)
  • Public Health Informatics (PHI): The role of information and communication technologies to improve data standardisation, utilisation and decision making in public health information systems. Sriram teaches the course Foundations of Health Information Science that is required for students in our dual Masters program in Public Health and Biomedical Informatics. He has mentored the doctoral dissertations of three students whose research impacts public health informatics.
    • Ashish Joshi, MD, PhD (2012). The SanaViz: Human Centered GeoVisualization to facilitate visual exploration of public health data.  Relevance to PHI: Using visualization techniques to add geographical insights to the display of public health data.
    • Arunkumar Srinivasan, MS, PhD (2011) A Method for Representing Contextualized Information (Merci) to Improve Situational Awareness Among Electronic Message Brokering System Dashboard Users.  Relevance to PHI: Designing public health dashboards to improve the display and utilisation of complex public health data.
    • Parsa Mirhaji, MD, PhD. (2010) Biomedical language understanding and extraction (Blue-Text). A minimal syntactic, semantic method.  Relevance to PHI: Extracting clinicians notes and other relevant data from large volumes of public health records to support decision making and bio-surveillance.