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Biomedical subjects

Suzanne Bakken

Publications and source records attributed to Suzanne Bakken.

At least 37 records · Page 2Linked to original sources

ISO reference terminology models for nursing: applicability for natural language processing of nursing narratives.

Natural language processing (NLP) systems have demonstrated utility in parsing narrative texts for purposes such as surveillance and decision support. However, there has been little work related to NLP of nursing narratives. The purpose of this study was to compare the semantic categories of a NLP system (Medical Language Extraction and Encoding [MedLEE] system) with the semantic domains, categories, and attributes of the International Standards Organization (ISO) reference terminology models for nursing diagnoses and nursing actions. All but two MedLEE diagnosis and procedure-related semantic categories mapped to ISO models. In some instances, we found exact correspondence between the semantic structures of MedLEE and the ISO models. In other situations (e.g. aspects of Site or Location), the ISO model was not as granular as MedLEE. For clinical procedure and non-invasive examination, two ISO nursing action model components (Action and Target) mapped to a single MedLEE semantic category. The ISO models are applicable to NLP of nursing narratives. However, the ISO models require additional specification of selected semantic categories for the abstract semantic domains in order to achieve the objective of using NLP to parse and encode data from nursing narratives. Our analysis also suggests areas for extension of MedLEE particularly in regard to represent nursing actions.

Diagnosis, Computer-Assisted↗

Toward semantic interoperability in home health care: formally representing OASIS items for integration into a concept-oriented terminology.

OBJECTIVE: The authors aimed to (1) formally represent OASIS-B1 concepts using the Logical Observation Identifiers, Names, and Codes (LOINC) semantic structure; (2) demonstrate integration of OASIS-B1 concepts into a concept-oriented terminology, the Medical Entities Dictionary (MED); (3) examine potential hierarchical structures within LOINC among OASIS-B1 and other nursing terms; and (4) illustrate a Web-based implementation for OASIS-B1 data entry using Dialogix, a software tool with a set of functions that supports complex data entry. DESIGN AND MEASUREMENTS: Two hundred nine OASIS-B1 items were dissected into the six elements of the LOINC semantic structure and then integrated into the MED hierarchy. Each OASIS-B1 term was matched to LOINC-coded nursing terms, Home Health Care Classification, the Omaha System, and the Sign and Symptom Check-List for Persons with HIV, and the extent of the match was judged based on a scale of 0 (no match) to 4 (exact match). OASIS-B1 terms were implemented as a Web-based survey using Dialogix. RESULTS: Of 209 terms, 204 were successfully dissected into the elements of the LOINC semantics structure and integrated into the MED with minor revisions of MED semantics. One hundred fifty-one OASIS-B1 terms were mapped to one or more of the LOINC-coded nursing terms. CONCLUSION: The LOINC semantic structure offers a standard way to add home health care data to a comprehensive patient record to facilitate data sharing for monitoring outcomes across sites and to further terminology management, decision support, and accurate information retrieval for evidence-based practice. The cross-mapping results support the possibility of a hierarchical structure of the OASIS-B1 concepts within nursing terminologies in the LOINC database.

Dictionaries, Medical as Topic↗

Utility of a standardized nursing terminology to evaluate dosage and tailoring of an HIV/AIDS adherence intervention.

PURPOSE: To illustrate the utility of a standardized nursing terminology to calculate the dosage of the Client Adherence Profiling-Intervention Tailoring (CAP-IT) and to determine the extent to which a tailored intervention was delivered to 117 persons with HIV/AIDS who participated in the experimental arm of a randomized controlled trial (RCT). METHODS: The intervention nurse assigned nursing diagnoses from the Home Health Care Classification (HHCC) based upon CAP scores. During the IT phase of CAP-IT, the nurse delivered and documented a tailored set of nursing interventions associated with the CAP and assigned nursing diagnoses. Hierarchical linear regression was used to evaluate the extent to which the number of interventions and intervention times were tailored to client needs. RESULTS: Linear regression models that included CAP scores and nursing diagnoses as predictor variables explained 53.2% of the variance in total number of interventions and 58.9% of the variance in intervention time. CONCLUSIONS: The use of the standardized nursing terminology enabled calculation of the intervention dose and documentation that a tailored intervention was delivered.

Adult↗

Using patient data to retrieve health knowledge.

BACKGROUND: We sought to study a variety of terminologic approaches to the use of clinical data for searching on-line information resources. METHODS: We used a collection of narrative text and coded data to search a variety of text-based, concept-based, and concept-indexed resources. RESULTS: Automated retrievals using original terms could be accomplished and technically produced ample results. However, quality of the results varied with the resource. Terminology translations were difficult to accomplish and produced variable results. CONCLUSIONS: Current resources support automated retrieval; however, achieving quality results varies with the terms and the resources, with term translation productive only in select situations.

Abstracting and Indexing↗

Document ontology: supporting narrative documents in electronic health records.

Electronic health records (EHRs) are beginning to manage an increasing volume of narrative data, such as clinical notes pertaining to admission, patient progress, shift change, follow-up, consultation, procedures, etc. These documents fall into a wide variety of classes, based on who is writing them, for what purpose, and in which location, suggesting the need for a document ontology (DO) to model our knowledge of health care documents and their properties. This paper focuses on one aspect of the Health Level 7 (HL7)/ Logical Observation Identifiers, Names, and Codes (LOINC) DO, the Subject Matter Domain (SMD). We created a new polyhierarchical structure for the SMD that combines the current value lists from the LOINC database with another value list from the American Board of Medical Specialties (ABMS). We refined and evaluated the new structure through expert review of the ontology, a survey of medical specialty boards, and specification of SMDs for a corpus of clinical notes.

Attitude of Health Personnel↗

Web-based educational resources for low literacy families in the NICU.

Web-based educational resources for families in the neonatal intensive care unit (NICU)with low health literacy were developed and implemented as prototype web pages using Macromedia Dreamweaver MX. The user interface was designed for a touch-screen platform with voice-recorded messages to incorporate parents' varying literacy levels and computer experience. Cognitive load theory was used to guide the organization and presentation of information. The text was translated to a 6th grade reading level by Flesch-Kincaid Grade Level, MS Word.

Comprehension↗

Clinicians' perceptions of usability of eNote.

The purpose of this evaluation was to assess perceptions of usability of a new semi-structured electronic clinical note. Two focus groups were held, one with attending physicians and one with residents. Physicians described their experiences with eNote and their perceptions about the system. Transcripts of the focus groups underwent content analysis, and four major themes emerged. These were "time", "hardware-system issues", "eNote application issues", and "patients' perceptions."

Attitude of Health Personnel↗

Applying organizational network analysis techniques to study information use in a public health agency.

We are applying organizational network analysis to explore information use in a public health department. The technique is grounded in social science theory, and employs calculations derived from graph theory to generate statistical and graphical models from relational data matrices. For this pilot we will develop network models to characterize how information use in routine work contributes to the agency's performance goals. This is the first step in ongoing work that will extend network analysis with computational methods, to predict the potential effects that improving information use has on the agency's performance.

Humans↗

Bridging the digital divide: reaching vulnerable populations.

The AMIA 2003 Spring Congress entitled "Bridging the Digital Divide: Informatics and Vulnerable Populations" convened 178 experts including medical informaticians, health care professionals, government leaders, policy makers, researchers, health care industry leaders, consumer advocates, and others specializing in health care provision to underserved populations. The primary objective of this working congress was to develop a framework for a national agenda in information and communication technology to enhance the health and health care of underserved populations. Discussions during four tracks addressed issues and trends in information and communication technologies for underserved populations, strategies learned from successful programs, evaluation methodologies for measuring the impact of informatics, and dissemination of information for replication of successful programs. Each track addressed current status, ideal state, barriers, strategies, and recommendations. Recommendations of the breakout sessions were summarized under the overarching themes of Policy, Funding, Research, and Education and Training. The general recommendations emphasized four key themes: revision in payment and reimbursement policies, integration of health care standards, partnerships as the key to success, and broad dissemination of findings including specific feedback to target populations and other key stakeholders.

Financing, Organized↗

Promoting patient safety through informatics-based nursing education.

The Institute of Medicine (IOM) Committee on Quality of Health Care in America identified the critical role of information technology in designing safe and effective health care. In addition to technical aspects such as regional or national health information infrastructures, to achieve this goal, healthcare professionals must receive the requisite training during basic and advanced educational programs. In this article, we describe a two-pronged strategy to promote patient safety through an informatics-based approach to nursing education at the Columbia University School of Nursing: (1) use of a personal digital assistant (PDA) to document clinical encounters and to retrieve patient safety-related information at the point of care, and (2) enhancement of informatics competencies of students and faculty. These approaches may be useful to others wishing to promote patient safety through using informatics methods and technologies in healthcare curricula.

Curriculum↗

Information technology as an infrastructure for patient safety: nursing research needs.

This article describes the process utilized to create research questions which promote technology as an infrastructure to enable safe nursing practice. Beginning with scenarios of safety problems related to nursing practice, the team identified information technology including hardware, software, and organizational and operational components to help improve the safety aspects addressed in the scenarios. Further discussed are characteristics of technology necessary at each step in the nursing process and finally recommendations are presented for various research questions that would be needed to enable research on the use of the proposed technologies.

Computers↗

Measurement of organizational culture and climate in healthcare.

Although there is increasing interest in the relationship between organizational constructs and health services outcomes, information on the reliability and validity of the instruments measuring these constructs is sparse. Twelve instruments were identified that may have applicability in measuring organizational constructs in the healthcare setting. The authors describe and characterize these instruments and discuss the implications for nurse administrators.

Communication↗

Promoting patient safety and enabling evidence-based practice through informatics.

OBJECTIVES: The purposes of this article are to highlight the role of informatics in promoting patient safety and enabling evidence-based practice (EBP), 2 significant aspects for assuring healthcare quality; to delineate some challenges for the future; and to provide key recommendations for education, practice, policy, and research. METHODS: First, we describe the components of an informatics infrastructure for patient safety and evidence-based practice. Second, we address the role of informatics in 4 areas: 1) information access; 2) automated surveillance for real-time error detection and prevention; 3) communication among members of the healthcare team; and 4) standardization of practice patterns. Last, we delineate some future challenges for nursing and for informatics and provide key recommendations for education, practice, policy, and research. RESULTS: The components of an informatics infrastructure are available and applications that bring together these components to promote patient safety and enable EBP have demonstrated positive or promising results. CONCLUSIONS: Challenges must be addressed so that an informatics infrastructure and related applications that promote patient safety and enable EBP can be realized.

Equipment Safety↗