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Biomedical subjects

Suzanne Bakken

Publications and source records attributed to Suzanne Bakken.

At least 19 recordsLinked to original sources
PubMed2005

Effect of an informatics for evidence-based practice curriculum on nursing informatics competencies.

Effective and appropriate use of information and communication technologies is an essential competency for all health care professionals. The purpose of this paper is to describe the effect of an evolving informatics for evidence-based practice (IEBP) curriculum on nursing informatics competencies in three student cohorts in the combined BS/MS program for non-nurses at the Columbia University School of Nursing. A repeated-measures, non-equivalent comparison group design was used to determine differences in self-rated informatics competencies pre- and post-IEBP and between cohorts at the end of the BS year of the combined BS/MS program. The types of Computer Skill competencies on which the students rated themselves as competent (> or =3) on admission were generic in nature and reflective of basic computer literacy. Informatics competencies increased significantly from admission to BS graduation in all areas for the class of 2002 and in all, but three areas, for the class of 2003. None of the three cohorts achieved competence in Computer Skills: Education despite curricular revisions. There were no significant differences between classes at the end of the BS year. Innovative educational approaches, such as the one described in this paper demonstrate promise as a method to achieve informatics competence. It is essential to integrate routine measurement of informatics competency into the curriculum so that approaches can be refined as needed to ensure informatics competent graduates.

Clinical Competence↗
PubMed2005

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↗
PubMed2005

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↗
PubMed2005

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↗
PubMed2004

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↗
PubMed2004

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↗
PubMed2004

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↗
PubMed2004

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↗
PubMed2004

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↗
PubMed2004

Practical considerations for exploiting the World Wide Web to create infobuttons.

BACKGROUND: We are studying ways to provide automated, context-specific links (called "infobuttons") between clinical information systems (CIS) and other information resources available on the World Wide Web. As part of this work, we observed the information needs that arose when clinicians used a CIS and we classified those needs into generic questions. We then sought general methods for accessing information resources to answer the questions. METHODS: For each generic question, we identified a satisfactory resource and then developed a method for retrieving from it the information relevant to the question. We then studied these methods to characterize them into general approaches. RESULTS: We identified six general approaches and describe them in detail. These approaches range in complexity from simple, hard-coded links to intelligent agents and calculators. CONCLUSION: Web-based information resources can be exploited using a relatively small number of methods, although the specific methods require custom solutions. Standard methods for accessing Web-based resources would simplify the task of linking to CISs.

Decision Support Systems, Clinical↗
PubMed2004

A comparison of semantic categories of the ISO reference terminology models for nursing and the MedLEE natural language processing system.

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) were required to represent the MedLEE semantic category. The ISO model requires 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.

Natural Language Processing↗
PubMed2004

Representing public health nursing intervention concepts with HHCC and NIC.

PURPOSE: It is imperative that public health nurses define their services and provide evidence supporting the effectiveness of interventions. The purpose of this paper is to examine the ex-tent to which two standardized nursing terminologies--Home Health Care Classification (HHCC) and Nursing Interventions Classification (NIC)--represent public health nursing practice according to core public health function in Public Health Nursing Intervention model. METHODS: First, we divided all HHCC and NIC interventions into intervention focus levels: individual/family-focused, community-focused, and system-focused. Second, we categorized HHCC and NIC interventions according to core public health functions: assessment, policy development, and assurance and the categories of interventions in the PHI Model. RESULTS: We identified HHCC and NIC Nursing interventions that represented public health nursing concepts across core public health functions and categories of the PHI model. Analysis of the findings demonstrated that HHCC and NIC have terms for the concepts in the PHI model. CONCLUSION: Although HHCC and NIC cover many concepts in public health nursing practice, additional research is needed to extend these terminologies and to evaluate other standardized terminologies that can reflect more comprehensively public health nursing interventions.

Home Care Services↗
PubMed2004

Requirements of tools and techniques to support the entry of structured nursing data.

The benefits of structured data are widely accepted within the nursing informatics community. However, despite the existence of structured data in the form of well-established nursing terminologies, computer-based nursing record systems are yet to achieve widespread adoption and few of the potential benefits have yet to be realized. In this paper we argue the need for tools and techniques to support the entry of structured nursing data into computer-based systems. In the absence of a generally accepted solution, we build on preliminary work carried out at the 2002 Nursing Terminology Summit and analyze the results of other studies in order to identify a preliminary set of requirements or desiderata for such tools and techniques. These requirements are centered on: how structured data is presented to users for selection; how to mediate between a variety of conceptual structures--terminologies, information models, user interface models and models of the clinical process; and how to reduce the considerable modeling burden through reuse of modeling constructs. Further applied research is needed with the ultimate goal of developing a general solution that will benefit nurses, other professionals and ultimately their patients.

Data Collection↗
PubMed2004

Development and representation of a fall-injury risk assessment instrument in a clinical information system.

The potential for informatics solutions to address inpatient safety issues is significant; however, several challenges are associated with the development of patient safety related informatics applications. These challenges include: 1) the identification and/or development of valid and reliable instruments; 2) adequate representation of key safety concepts, constructs, and associated concepts in the clinical information system; and 3) identification of data sources for instrument pre-population. As part of a larger project aimed at identifying and addressing the information needs of clinicians while using a clinical information system, an electronic fall and injury risk assessment instrument is in development to address a hospital-based fall and injury prevention initiative. The concepts contained in the instrument are well represented by Clinical LOINC and the UMLS. Associated concepts have been identified in the existing clinical information system data dictionary for pre-population of the instrument.

Accidental Falls↗