Michael G. Kahn

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The detection of temporal relationships among time-ordered patient data is an important, but di cult, clinical task. Large volumes of computer-stored clinical data o er the possibility of aiding in the early detection of subtle trends and states, but the presence of irrelevant data can obscure relevant ndings and relationships. We present a formal system(More)
This paper describes a methodology for representing and using medical knowledge about temporal relationships to infer the presence of clinical events that evolve over time. The methodology consists of three steps: (1) the incorporation of patient observations into a generic physiologic model, (2) the conversion of model states and predictions into(More)
A standard set of names and codes for laboratory test results is critical for any endeavor requiring automated data pooling, including multi-institutional research and cross-facility patient care. This need has led to the development of the logical observation identifier names and codes (LOINC) database and its test-naming convention. This study is an(More)
Users of electronic medical databases request pertinent information by recasting their clinical questions into a formal database query language. Because the query language is the user's only access to the data, the query language must be powerful enough to enable users to express their data requirements. However, a competing need is for the query language(More)
ONCOCIN is a medical expert system that extends the skeletal-planning technique to an applciation area where the history of past events and the duration of actions are important. The system's knowledge base is designed to reflect a hierarchical model of the domain, and its control and inference mechanisms encourage a mixed-initiative style of interaction(More)
Clinical trial protocols include detailed temporal constraints on treatment and associated tasks. Unlike health-care guidelines, protocols are highly prescriptive. Therefore, informatics applications that enforce such temporal constraints are more directly useful with protocols than with guidelines. Although there are some temporal knowledge representation(More)
Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most systems are limited in their ability to store and retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the most widely used data model(More)
To evaluate a program to discontinue intravenous antibiotics at two teaching hospitals, 102 inpatients meeting eligibility criteria were randomly assigned to two groups. In one group, patients' physicians were contacted by pharmacists with recommendations to discontinue intravenous antibiotic therapy; in the other, patients were simply observed. Measured(More)
INTRODUCTION Growing adoption of electronic health records and increased emphasis on the reuse and integration of clinical care and administration data require a robust informatics infrastructure to inform health care effectiveness in real-world settings. The Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) was one of 3(More)