nursing informatics

Nurses' Experiences of an Initial and Reimplemented Electronic Health Record Use.

NLM - Nursing Informatics - Wed, 2016-12-21 14:46
Related Articles

Nurses' Experiences of an Initial and Reimplemented Electronic Health Record Use.

Comput Inform Nurs. 2016 Apr;34(4):183-90

Authors: Chang CP, Lee TT, Liu CH, Mills ME

Abstract
The electronic health record is a key component of healthcare information systems. Currently, numerous hospitals have adopted electronic health records to replace paper-based records to document care processes and improve care quality. Integrating healthcare information system into traditional nursing daily operations requires time and effort for nurses to become familiarized with this new technology. In the stages of electronic health record implementation, smooth adoption can streamline clinical nursing activities. In order to explore the adoption process, a descriptive qualitative study design and focus group interviews were conducted 3 months after and 2 years after electronic health record system implementation (system aborted 1 year in between) in one hospital located in southern Taiwan. Content analysis was performed to analyze the interview data, and six main themes were derived, in the first stage: (1) liability, work stress, and anticipation for electronic health record; (2) slow network speed, user-unfriendly design for learning process; (3) insufficient information technology/organization support; on the second stage: (4) getting used to electronic health record and further system requirements, (5) benefits of electronic health record in time saving and documentation, (6) unrealistic information technology competence expectation and future use. It concluded that user-friendly design and support by informatics technology and manpower backup would facilitate this adoption process as well.

PMID: 26886680 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Can Social Cognitive Theories Help Us Understand Nurses' Use of Electronic Health Records?

NLM - Nursing Informatics - Wed, 2016-12-21 14:46
Related Articles

Can Social Cognitive Theories Help Us Understand Nurses' Use of Electronic Health Records?

Comput Inform Nurs. 2016 Apr;34(4):169-74

Authors: Strudwick G, Booth R, Mistry K

Abstract
Electronic health record implementations have accelerated in clinical settings around the world in an effort to improve patient safety and enhance efficiencies related to care delivery. As the largest group of healthcare professionals globally, nurses play an important role in the use of these records and ensuring their benefits are realized. Social cognitive theories such as the Theory of Reasoned Action, Theory of Planned Behaviour, and the Technology Acceptance Model have been developed to explain behavior. Given that variation in nurses' electronic health record utilization may influence the degree to which benefits are realized, the aim of this article is to explore how the use of these social cognitive theories may assist organizations implementing electronic health records to facilitate deeper-level adoption of this type of clinical technology.

PMID: 26844529 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Patient Satisfaction With Electronic Health Record Use by Primary Care Nurse Practitioners.

NLM - Nursing Informatics - Wed, 2016-12-21 14:46
Related Articles

Patient Satisfaction With Electronic Health Record Use by Primary Care Nurse Practitioners.

Comput Inform Nurs. 2016 Mar;34(3):116-21

Authors: Mysen KL, Penprase B, Piscotty R

Abstract
The purpose of this research study was to determine if satisfaction and communication between the patient and the nurse practitioner are affected by allowing patients to view their electronic health records during the history portion of the primary care office visit compared with patients who do not view their records. A cross-sectional, experimental design was utilized for this study. The intervention group was shown several components of the electronic health record during the history portion of the nurse practitioner assessment. This group's scores on a patient satisfaction survey were compared with those of the control group, who were not shown the electronic health record. The study findings suggest that the introduction of the electronic health record does not affect patients' satisfaction related to the office visit by the nurse practitioner.

PMID: 26829521 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Communicating Nursing Care Using the Health Level Seven Consolidated Clinical Document Architecture Release 2 Care Plan.

NLM - Nursing Informatics - Wed, 2016-12-21 14:46
Related Articles

Communicating Nursing Care Using the Health Level Seven Consolidated Clinical Document Architecture Release 2 Care Plan.

Comput Inform Nurs. 2016 Mar;34(3):128-36

Authors: Matney SA, Dolin G, Buhl L, Sheide A

Abstract
A care plan provides a patient, family, or community picture and outlines the care to be provided. The Health Level Seven Consolidated Clinical Document Architecture (C-CDA) Release 2 Care Plan Document is used to structure care plan data when sharing the care plan between systems and/or settings. The American Nurses Association has recommended the use of two terminologies, Logical Observation Identifiers Names and Codes (LOINC) for assessments and outcomes and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) for problems, procedures (interventions), outcomes, and observation findings within the C-CDA. This article describes C-CDA, introduces LOINC and SNOMED CT, discusses how the C-CDA Care Plan aligns with the nursing process, and illustrates how nursing care data can be structured and encoded within a C-CDA Care Plan.

PMID: 26765657 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Mapping Out Point-of-Care Review Screens for Omaha System Data.

Related Articles

Mapping Out Point-of-Care Review Screens for Omaha System Data.

Comput Inform Nurs. 2016 Feb;34(2):85-91

Authors: Lee S

Abstract
Omaha System data are text data that consist of standardized terminology and customized descriptions. The customized descriptions related to patient care reveal changes in a client's status over time. These data help public health nurses to understand the patient's progress and to plan future care. However, most electronic health records do not provide clinicians with efficient displays of stored text data. The purpose of this study is to develop point-of-care review screens for Omaha System data on an individual patient level and examine nurse perceptions of the usefulness of the displayed data in improving patient care. Individual patients' data were organized on a Web-based overview page to present all of the health problems that a client had and on detailed pages to present all records of Omaha System data regarding each health problem. Nurse survey results indicated the usefulness of at-a-glance displays of text data on patient care and nurses' decision making. The meaningful review of patient data using a health information system supports patient-data-driven, evidence-based practice and decision making.

PMID: 26765656 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

NI 2016 Geneva eHealth for all.

NLM - Nursing Informatics - Tue, 2016-12-20 14:40
Related Articles

NI 2016 Geneva eHealth for all.

Comput Inform Nurs. 2016 Feb;34(2):60-1

Authors: Weber P

PMID: 26845666 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Clinical Care Classification System Mobile-Friendly Web Tool.

NLM - Nursing Informatics - Tue, 2016-12-20 14:40
Related Articles

Clinical Care Classification System Mobile-Friendly Web Tool.

Comput Inform Nurs. 2016 Feb;34(2):57-9

Authors: Saba VK

PMID: 26845665 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Mapping Out Point-of-Care Review Screens for Omaha System Data.

NLM - Nursing Informatics - Tue, 2016-12-20 14:40
Related Articles

Mapping Out Point-of-Care Review Screens for Omaha System Data.

Comput Inform Nurs. 2016 Feb;34(2):85-91

Authors: Lee S

Abstract
Omaha System data are text data that consist of standardized terminology and customized descriptions. The customized descriptions related to patient care reveal changes in a client's status over time. These data help public health nurses to understand the patient's progress and to plan future care. However, most electronic health records do not provide clinicians with efficient displays of stored text data. The purpose of this study is to develop point-of-care review screens for Omaha System data on an individual patient level and examine nurse perceptions of the usefulness of the displayed data in improving patient care. Individual patients' data were organized on a Web-based overview page to present all of the health problems that a client had and on detailed pages to present all records of Omaha System data regarding each health problem. Nurse survey results indicated the usefulness of at-a-glance displays of text data on patient care and nurses' decision making. The meaningful review of patient data using a health information system supports patient-data-driven, evidence-based practice and decision making.

PMID: 26765656 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Evaluation of Nursing Documentation Completion of Stroke Patients in the Emergency Department: A Pre-Post Analysis Using Flowsheet Templates and Clinical Decision Support.

NLM - Nursing Informatics - Tue, 2016-12-20 14:40
Related Articles

Evaluation of Nursing Documentation Completion of Stroke Patients in the Emergency Department: A Pre-Post Analysis Using Flowsheet Templates and Clinical Decision Support.

Comput Inform Nurs. 2016 Feb;34(2):62-70

Authors: Richardson KJ, Sengstack P, Doucette JN, Hammond WE, Schertz M, Thompson J, Johnson C

Abstract
The primary aim of this performance improvement project was to determine whether the electronic health record implementation of stroke-specific nursing documentation flowsheet templates and clinical decision support alerts improved the nursing documentation of eligible stroke patients in seven stroke-certified emergency departments. Two system enhancements were introduced into the electronic record in an effort to improve nursing documentation: disease-specific documentation flowsheets and clinical decision support alerts. Using a pre-post design, project measures included six stroke management goals as defined by the National Institute of Neurological Disorders and Stroke and three clinical decision support measures based on entry of orders used to trigger documentation reminders for nursing: (1) the National Institutes of Health's Stroke Scale, (2) neurological checks, and (3) dysphagia screening. Data were reviewed 6 months prior (n = 2293) and 6 months following the intervention (n = 2588). Fisher exact test was used for statistical analysis. Statistical significance was found for documentation of five of the six stroke management goals, although effect sizes were small. Customizing flowsheets to meet the needs of nursing workflow showed improvement in the completion of documentation. The effects of the decision support alerts on the completeness of nursing documentation were not statistically significant (likely due to lack of order entry). For example, an order for the National Institutes of Health Stroke Scale was entered only 10.7% of the time, which meant no alert would fire for nursing in the postintervention group. Future work should focus on decision support alerts that trigger reminders for clinicians to place relevant orders for this population.

PMID: 26679006 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Understanding health information exchange.

NLM - Nursing Informatics - Sat, 2016-12-17 14:25
Related Articles

Understanding health information exchange.

Nurs Manage. 2015 Dec;46(12):14-5

Authors: Greenberger M

PMID: 26583334 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

A closer look at this specialty.

NLM - Nursing Informatics - Fri, 2016-12-16 14:22
Related Articles

A closer look at this specialty.

Nurs Manage. 2015 Jun;46(6):20-1

Authors: Anderson C, Sensmeier J

PMID: 25989009 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

"Nursing Informatics"[MeSH]; +17 new citations

NLM - Nursing Informatics - Thu, 2016-12-15 13:56

17 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"Nursing Informatics"[MeSH]

These pubmed results were generated on 2016/12/15

PubMed comprises more than 24 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Categories: nursing informatics

Pages

Subscribe to Ulrich Schrader's Website aggregator - nursing informatics