Biomedical subjects

Margarita Sordo

Publications and source records attributed to Margarita Sordo.

5 recordsLinked to original sources

PubMed2006

Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system.

BACKGROUND: The text descriptions in electronic medical records are a rich source of information. We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research study on airways disease. METHODS: The principal diagnosis, co-morbidity and smoking status extracted by HITEx from a set of 150 discharge summaries were compared to an expert-generated gold standard. RESULTS: The accuracy of HITEx was 82% for principal diagnosis, 87% for co-morbidity, and 90% for smoking status extraction, when cases labeled "Insufficient Data" by the gold standard were excluded. CONCLUSION: We consider the results promising, given the complexity of the discharge summaries and the extraction tasks.

Asthma↗

PubMed2005

Feasibility of an intelligent tutoring system for laboratory medicine.

Laboratory medicine is not adequately addressed in most medical school curricula. A review of the literature was performed to evaluate the feasibility of an intelligent tutoring system to enhance laboratory medicine training. This appraisal suggests that such a system must integrate basic science and clinical training. A system equipped with a clinical knowledgebase, in the form of an expert system, and a pathophysiology knowledgebase, in the form of multiple semantic networks, could provide such integration.

Artificial Intelligence↗

PubMed2004

Description and status update on GELLO: a proposed standardized object-oriented expression language for clinical decision support.

A major obstacle to sharing computable clinical knowledge is the lack of a common language for specifying expressions and criteria. Such a language could be used to specify decision criteria, formulae, and constraints on data and action. Al-though the Arden Syntax addresses this problem for clinical rules, its generalization to HL7's object-oriented data model is limited. The GELLO Expression language is an object-oriented language used for expressing logical conditions and computations in the GLIF3 (GuideLine Interchange Format, v. 3) guideline modeling language. It has been further developed under the auspices of the HL7 Clinical Decision Support Technical Committee, as a proposed HL7 standard., GELLO is based on the Object Constraint Language (OCL), because it is vendor-independent, object-oriented, and side-effect-free. GELLO expects an object-oriented data model. Although choice of model is arbitrary, standardization is facilitated by ensuring that the data model is compatible with the HL7 Reference Information Model (RIM).

Decision Making, Computer-Assisted↗

PubMed2004

Design of a standards-based external rules engine for decision support in a variety of application contexts: report of a feasibility study at Partners HealthCare System.

This project explored functional requirements for an institution-wide method, at Partners HealthCare, for interpreting clinical knowledge for decision support. Such knowledge is currently incorporated in a variety of clinical applications, yet the methods of representation and of execution vary and the ability to author/edit the rules by human experts is limited. We expanded on a 2002 "Knowledge Inventory" at Partners to evaluate feasibility of designing a single representation approach entailing: (a) exploration of specific needs of different applications, in terms of kinds of response required (synchronous/asynchronous, time criticality, etc.), context (e.g., implied patient, time frame, or episode), and kinds of actions to be triggered; (b) kind of representation of knowledge and feasibility of casting knowledge in the form of if em leader then statements; and (c) data and knowledge resources used (implied data model, and particular knowledge sources and terminology sources). The result of analysis was to design an architecture to accomplish this goal. We also did preliminary analysis of requirements for authoring for such a representation, and for implementation.

Artificial Intelligence↗

PubMed2003

GELLO: an object-oriented query and expression language for clinical decision support.

GELLO is a purpose-specific, object-oriented (OO) query and expression language. GELLO is the result of a concerted effort of the Decision Systems Group (DSG) working with the HL7 Clinical Decision Support Technical Committee (CDSTC) to provide the HL7 community with a common format for data encoding and manipulation. GELLO will soon be submitted for ballot to the HL7 CDSTC for consideration as a standard.

Decision Making, Computer-Assisted↗