Suzanne Bakken

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.

An Electronic Health Record Based on Structured Narrative

OBJECTIVE To develop an electronic health record that facilitates rapid capture of detailed narrative observations from clinicians, with partial structuring of narrative information for integration and reuse. DESIGN We propose a design in which unstructured text and coded data are fused into a single model called structured narrative. Each major clinical event (e.g., encounter or procedure) is represented as a document that is marked up to identify gross structure (sections, fields, paragraphs, lists) as well as fine structure within sentences (concepts, modifiers, relationships). Marked up items are associated with standardized codes that enable linkage to other events, as well as efficient reuse of information, which can speed up data entry by clinicians. Natural language processing is used to identify fine structure, which can reduce the need for form-based entry. VALIDATION The model is validated through an example of use by a clinician, with discussion of relevant aspects of the user interface, data structures and processing rules. DISCUSSION The proposed model represents all patient information as documents with standardized gross structure (templates). Clinicians enter their data as free text, which is coded by natural language processing in real time making it immediately usable for other computation, such as alerts or critiques. In addition, the narrative data annotates and augments structured data with temporal relations, severity and degree modifiers, causal connections, clinical explanations and rationale. CONCLUSION Structured narrative has potential to facilitate capture of data directly from clinicians by allowing freedom of expression, giving immediate feedback, supporting reuse of clinical information and structuring data for subsequent processing, such as quality assurance and clinical research.

Mining complex clinical data for patient safety research: a framework for event discovery

Successfully addressing patient safety requires detecting medical events effectively. Given the volume of patients seen at medical centers, detecting events automatically from data that are already available electronically would greatly facilitate patient safety work. We have created a framework for electronic detection. Key steps include: selecting target events, assessing what information is available electronically, transforming raw data such as narrative notes into a coded format, querying the transformed data, verifying the accuracy of event detection, characterizing the events using systems and cognitive approaches, and using what is learned to improve detection.

An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms

OBJECTIVES We evaluated the usefulness of two models for integrating nursing diagnosis concepts into SNOMED Clinical Terms (CT). METHODS First, we dissected nursing diagnosis term phrases from two source terminologies (North American Nursing Diagnosis Association Taxonomy 1 (NANDA) and Omaha System) into the semantic categories of the European Committee for Standardization (CEN) categorical structure and ISO reference terminology model (RTM). Second, we critically analyzed the similarities between the semantic links in the CEN and ISO models and the semantic links used to formally define diagnostic concepts in SNOMED CT. RESULTS Our findings demonstrated that focus, bearer/subject of information, and judgment were present in 100% of the NANDA and Omaha term phrases. The Omaha term phrases contained no additional descriptors beyond those considered mandatory in the CEN and ISO models. The comparison among the semantic links showed that SNOMED CT currently contains all but one of the semantic links needed to model the two source terminologies for integration. In conclusion, our findings support the potential utility of the CEN and ISO models for integrating nursing diagnostic concepts into SNOMED CT.

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.

User Acceptance of HIV TIDES—Tailored Interventions for Management of Depressive Symptoms in Persons Living with HIV/AIDS

OBJECTIVE The Tailored Interventions for management of DEpressive Symptoms (TIDES) program was designed based on social cognitive theory to provide tailored, computer-based education on key elements and self-care strategies for depressive symptoms in persons living with HIV/AIDS (PLWHAs). DESIGN AND MEASUREMENT Based on an extension of the Technology Acceptance Model (TAM), a cross-sectional design was used to assess the acceptance of the HIV TIDES prototype and explore the relationships among system acceptance factors proposed in the conceptual model. RESULTS Thirty-two PLWHAs were recruited from HIV/AIDS clinics. The majority were African American (68.8%), male (65.6%), with high school or lower education (68.7%), and in their 40s (62.5%). PARTICIPANTS spent an average of 10.4 minutes (SD = 5.6) using HIV TIDES. The PLWHAs rated the system as easy to use (Mean = 9.61, SD = 0.76) and useful (Mean = 9.50, SD = 1.16). The high ratings of behavior intention to use (Mean = 9.47, SD = 1.24) suggest that HIV TIDES has the potential to be accepted and used by PLWHAs. Four factors were positively correlated with behavioral intention to use: perceived usefulness (r = 0.61), perceived ease of use (r = 0.61), internal control (r = 0.59), and external control (r = 0.46). Computer anxiety (r = -0.80), tailoring path (r = 0-.35) and depressive symptoms (r = -0.49) were negatively correlated with behavioral intention to use. CONCLUSION The results of this study provide evidence of the acceptability of HIV TIDES by PLWHAs. Individuals are expected to be empowered through participating in the interactive process to generate their self-care plan. HIV TIDES enables information sharing about depression prevention and health promotion and has the potential to reframe the traditional patient-provider relationship.

Informatics for patient safety: a nursing research perspective.

In Crossing the Quality Chasm, the Institute of Medicine (IOM) Committee on Quality of Health Care in America identified the critical role of information technology in designing a health system that produces care that is “safe, effective, patient-centered, timely, efficient, and equitable” (Committee on Quality of Health Care in America, 2001, p. 164). A subsequent IOM report contends that improved information systems are essential to a new health care delivery system that “both prevents errors and learns from them when they occur” (Committee on Data Standards for Patient Safety, 2004, p. 1). This review specifically highlights the role of informatics processes and information technology in promoting patient safety and summarizes relevant nursing research. First, the components of an informatics infrastructure for patient safety are described within the context of the national framework for delivering consumer-centric and information-rich health care and using the National Health Information Infrastructure (NHII) (Thompson & Brailer, 2004). Second, relevant nursing research is summarized; this includes research studies that contributed to the development of selected infrastructure components as well as studies specifically focused on patient safety. Third, knowledge gaps and opportunities for nursing research are identified for each main topic. The health information technologies deployed as part of the national framework must support nursing practice in a manner that enables prevention of medical errors and promotion of patient safety and contributes to the development of practice-based nursing knowledge as well as best practices for patient safety. The seminal work that has been completed to date is necessary, but not sufficient, to achieve this objective.

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.

Formal nursing terminology systems: a means to an end

In response to the need to support diverse and complex information requirements, nursing has developed a number of different terminology systems. The two main kinds of systems that have emerged are enumerative systems and combinatorial systems, although some systems have characteristics of both approaches. Differences in the structure and content of terminology systems, while useful at a local level, prevent effective wider communication, information sharing, integration of record systems, and comparison of nursing elements of healthcare information at a more global level. Formal nursing terminology systems present an alternative approach. This paper describes a number of recent initiatives and explains how these emerging approaches may help to augment existing nursing terminology systems and overcome their limitations through mediation. The development of formal nursing terminology systems is not an end in itself and there remains a great deal of work to be done before success can be claimed. This paper presents an overview of the key issues outstanding and provides recommendations for a way forward.

Clinical practice guideline adherence before and after implementation of the HEARTFELT (HEART Failure Effectiveness & Leadership Team) intervention.

HEART Failure Effectiveness & Leadership Team (HEARTFELT) is a multifaceted intervention designed to improve adherence with the American College of Cardiology/American Heart Association practice guidelines for heart failure (HF). The purpose of this study was to assess differences in clinician adherence with clinical practice guidelines before and after implementation of HEARTFELT. A quasi-experimental, untreated control group design with separate pretest/posttest samples was employed at a community hospital in Connecticut. The untreated historical control group included patients aged 65 years or older with HF and a nonequivalent comparison group of patients with stroke. The posttest samples included patients with the diagnosis of HF and stroke admitted after implementation of the HEARTFELT intervention. The HEARTFELT intervention included automated pathway in electronic medical record (order sets, interdisciplinary plan of care, self-management plan), access to evidence for clinicians and patients, HF self-management education tools, and ongoing discipline-specific feedback regarding adherence. Data were analyzed using parametric and nonparametric methods. The HEARTFELT intervention significantly improved clinician adherence with addressing all self-management categories in the electronic medical record (P = .000) and adherence with self-management education given to the patient in writing at discharge (P = .000). There were no significant differences in adherence with medical interventions (P = .39). While guideline adherence is associated with less practice variation and improved processes, methods of integration into practice in community hospital settings have been largely unexplored. The multifaceted HEARTFELT intervention is promising for its potential to integrate evidence at the point of care, to reduce unwarranted variation in practice, and ultimately to improve the outcomes of individuals with HF.