GuideView: structured multi-modal delivery of clinical guidelines.

GuideView is a system designed for structured, multi-modal delivery of clinical guidelines. Clinical instructions are presented simultaneously in voice, text, pictures or video or animations. Users navigate using mouse-clicks and voice commands. An evaluation study performed at a medical simulation laboratory found that voice and video instructions were rated highly.

Academic medical centers: A framework for strategic repositioning

This study sought to understand the elements affecting the success or failure of strategic repositioning efforts by academic medical centers (AMC). The research question was: What specific elements in the process appear to be most important in determining the success or failure of an AMC.s strategic repositioning? Where success is based on the longterm sustainability of the new position.^ "An organization's strategic position is its perceptual location relative to others" (Gershon, 2003). Hence, strategic repositioning represents a shift from one strategic position within an environment to another (H. Mintzberg, 1987a). A deteriorating value proposition coupled with an unsustainable national health care financing system is forcing AMCs to change their strategic position. Where the value proposition is defined as the health outcome per dollar spent. ^ AMCs are of foundational importance to our health care system. They educate our new physicians, generate significant scientific breakthroughs, and care for our most difficult patients. Yet, their strategic, financial and business acumen leaves them particularly vulnerable in a changing environment. ^ After a literature review revealed limited writing on this subject, the research question was addressed using three separate but parallel exploratory case study inquiries of AMCs that recently underwent a strategic repositioning. Participating in the case studies were the Baylor College of Medicine, the University of Texas M. D. Anderson Cancer Center, and the University of Texas Medical Branch.^ Each case study consisted of two major research segments; a thorough documentation review followed by semi-structured interviews of selected members of their governance board, executive and faculty leadership teams. While each case study.s circumstances varied, their response to the research question, as extracted through thematic coding and analysis of the interviews, had a high degree of commonality.^ The results identified managing the strategic risk surrounding the repositioning and leadership accountability as the two foundational elements of success or failure. Metrics and communication were important process elements. They both play a major role in managing the strategic repositioning risk communication loop. Sustainability, the final element, was the outcome sought.^ Factors leading to strategic repositioning included both internal and external pressures and were primarily financial or mission based. Timing was an important consideration as was the selection of the strategic repositioning endpoint.^ In conclusion, a framework for the strategic repositioning of AMCs was offered that integrates the findings of this study; the elements of success, the factors leading to strategic repositioning, and the risk communication loop. ^

BIOMEDICAL LANGUAGE UNDERSTANDING AND EXTRACTION (BLUE-TEXT): A MINIMAL SYNTACTIC, SEMANTIC METHOD

Clinical text understanding (CTU) is of interest to health informatics because critical clinical information frequently represented as unconstrained text in electronic health records are extensively used by human experts to guide clinical practice, decision making, and to document delivery of care, but are largely unusable by information systems for queries and computations. Recent initiatives advocating for translational research call for generation of technologies that can integrate structured clinical data with unstructured data, provide a unified interface to all data, and contextualize clinical information for reuse in multidisciplinary and collaborative environment envisioned by CTSA program. This implies that technologies for the processing and interpretation of clinical text should be evaluated not only in terms of their validity and reliability in their intended environment, but also in light of their interoperability, and ability to support information integration and contextualization in a distributed and dynamic environment. This vision adds a new layer of information representation requirements that needs to be accounted for when conceptualizing implementation or acquisition of clinical text processing tools and technologies for multidisciplinary research. On the other hand, electronic health records frequently contain unconstrained clinical text with high variability in use of terms and documentation practices, and without commitmentto grammatical or syntactic structure of the language (e.g. Triage notes, physician and nurse notes, chief complaints, etc). This hinders performance of natural language processing technologies which typically rely heavily on the syntax of language and grammatical structure of the text. This document introduces our method to transform unconstrained clinical text found in electronic health information systems to a formal (computationally understandable) representation that is suitable for querying, integration, contextualization and reuse, and is resilient to the grammatical and syntactic irregularities of the clinical text. We present our design rationale, method, and results of evaluation in processing chief complaints and triage notes from 8 different emergency departments in Houston Texas. At the end, we will discuss significance of our contribution in enabling use of clinical text in a practical bio-surveillance setting.