nursing informatics

[Smart Medicine and Healthcare].

NLM - Nursing Informatics - Wed, 2017-11-08 15:43
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[Smart Medicine and Healthcare].

Hu Li Za Zhi. 2017 Aug;64(4):26-33

Authors: Lu YA, Chen LC

Abstract
Innovation and rapid technological development in Smart Medicine or Smart Healthcare impact profoundly on many aspects of healthcare. It is believed that Health Information Technology (HIT) has the potential to improve integration between care providers, reduce administrative costs and burdens, reduce medical errors, and improve care quality and patient outcomes. However, issues such as interoperability, compatibility, and integration are critical to effectively integrating hardware and software in order to fully realize the benefits of HIT. High-end medical devices and equipment, including medical carts / mobile computer carts and wireless physiological and biomedical monitoring devices, should also be integrated into the hospital information system. Furthermore, the Data, Information, Knowledge, and Wisdom Hierarchy (DIKW) has been gaining popularity in the development of Nursing Information Systems (NIS) since 2013. To create a DIKW-based information system, data must first be defined and analyzed and then transformed into meaningful information. Eventually, this information is transformed into an intelligent system. For example, if evidence-based nursing research results / findings are integrated into the NIS to guide clinical practice, patient outcomes, patient safety, and healthcare quality will be greatly enhanced.

PMID: 28762222 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

[The Role and Function of Informatics Nurses in Information Technology Decision-Making].

NLM - Nursing Informatics - Wed, 2017-11-08 15:43
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[The Role and Function of Informatics Nurses in Information Technology Decision-Making].

Hu Li Za Zhi. 2017 Aug;64(4):5-9

Authors: Lee TY

Abstract
The medical environment has changed greatly with the coming of the information age, and, increasingly, the operating procedures for medical services have been altered in keeping with the trend toward mobile, paperless services. Informatization has the potential to improve the working efficiency of medical personnel, enhance patient care safety, and give medical organizations a positive image. Informatics nurses play an important role in the decision-making processes that accompany informatization. As one of the decision-making links in the information technology lifecycle, this role affects the success of the development and operation of information systems. The present paper examines the functions and professional knowledge that informatics nurses must possess during the technology lifecycle, the four stages of which include: planning, analysis, design/development/revision, and implementation/assessment/support/maintenance. The present paper further examines the decision-making shortcomings and errors that an informatics nurses may make during the decision-making process. We hope that this paper will serve as an effective and useful reference for informatics nurses during the informatization decision-making process.

PMID: 28762219 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Again, What Is Nursing Science?

NLM - Nursing Informatics - Wed, 2017-11-01 15:38
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Again, What Is Nursing Science?

Nurs Sci Q. 2017 Apr;30(2):129-133

Authors: Barrett EAM

Abstract
This article again asks, What is nursing science? Who knows? Who cares? The author describes the threat to the survival of nursing science grounded in nursing frameworks and theories. This threat is magnified by the proposal of the Council for the Advancement of Nursing Science (CANS) to change the curricula of PhD education. The aim of CANS is to prepare nurse scientists for lifelong competitive careers in interdisciplinary research, often focused on funding priorities of the National Institute of Nursing Research (NINR). Curricula would include preparation for conducting research in topics such as omics, e-science, translation science, biobehavioral science, symptom science, and team science. How can this be nursing science? It is argued that this focus might obliterate nursing's discipline-specific phenomenon of concern, the human-universe-health process.

PMID: 28899250 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Modeling Flowsheet Data to Support Secondary Use.

NLM - Nursing Informatics - Wed, 2017-11-01 15:38
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Modeling Flowsheet Data to Support Secondary Use.

Comput Inform Nurs. 2017 Sep;35(9):452-458

Authors: Westra BL, Christie B, Johnson SG, Pruinelli L, LaFlamme A, Sherman SG, Park JI, Delaney CW, Gao G, Speedie S

Abstract
The purpose of this study was to create information models from flowsheet data using a data-driven consensus-based method. Electronic health records contain a large volume of data about patient assessments and interventions captured in flowsheets that measure the same "thing," but the names of these observations often differ, according to who performs documentation or the location of the service (eg, pulse rate in an intensive care, the emergency department, or a surgical unit documented by a nurse or therapist or captured by automated monitoring). Flowsheet data are challenging for secondary use because of the existence of multiple semantically equivalent measures representing the same concepts. Ten information models were created in this study: five related to quality measures (falls, pressure ulcers, venous thromboembolism, genitourinary system including catheter-associated urinary tract infection, and pain management) and five high-volume physiological systems: cardiac, gastrointestinal, musculoskeletal, respiratory, and expanded vital signs/anthropometrics. The value of the information models is that flowsheet data can be extracted and mapped for semantically comparable flowsheet measures from a clinical data repository regardless of the time frame, discipline, or setting in which documentation occurred. The 10 information models simplify the representation of the content in flowsheet data, reducing 1552 source measures to 557 concepts. The amount of representational reduction ranges from 3% for falls to 78% for the respiratory system. The information models provide a foundation for including nursing and interprofessional assessments and interventions in common data models, to support research within and across health systems.

PMID: 28346243 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Assessment of a prototype for the Systemization of Nursing Care on a mobile device.

NLM - Nursing Informatics - Wed, 2017-11-01 15:38
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Assessment of a prototype for the Systemization of Nursing Care on a mobile device.

Rev Lat Am Enfermagem. 2016;24:e2714

Authors: Rezende LC, Santos SR, Medeiros AL

Abstract
OBJECTIVES: assess a prototype for use on mobile devices that permits registering data for the Systemization of Nursing Care at a Neonatal Intensive Care Unit.
METHOD: an exploratory and descriptive study was undertaken, characterized as an applied methodological research, developed at a teaching hospital.
RESULTS: the mobile technology the nurses at the Neonatal Intensive Care Unit use was positive, although some reported they faced difficulties to manage it, while others with experience in using mobile devices did not face problems to use it. The application has the functions needed for the Systematization of Nursing Care at the unit, but changes were suggested in the interface of the screens, some data collection terms and parameters the application offers. The main contributions of the software were: agility in the development and documentation of the systemization, freedom to move, standardization of infant assessment, optimization of time to develop bureaucratic activities, possibilities to recover information and reduction of physical space the registers occupy.
CONCLUSION: prototype software for the Systemization of Nursing Care with mobile technology permits flexibility for the nurses to register their activities, as the data can be collected at the bedside.

PMID: 27384467 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Thinking outside the box.

NLM - Nursing Informatics - Tue, 2017-10-31 15:37
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Thinking outside the box.

Nursing. 2017 09;47(9):6

Authors:

PMID: 28795989 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Big data science: A literature review of nursing research exemplars.

NLM - Nursing Informatics - Tue, 2017-10-31 15:37
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Big data science: A literature review of nursing research exemplars.

Nurs Outlook. 2017 Sep - Oct;65(5):549-561

Authors: Westra BL, Sylvia M, Weinfurter EF, Pruinelli L, Park JI, Dodd D, Keenan GM, Senk P, Richesson RL, Baukner V, Cruz C, Gao G, Whittenburg L, Delaney CW

Abstract
BACKGROUND: Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge.
PURPOSE: The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals.
METHODS: A literature review of studies published between 2009 and 2015. There were 650 journal articles identified in 17 key nursing informatics, general biomedical informatics, and nursing research journals in the Web of Science database. After screening for inclusion and exclusion criteria, 17 studies published in 18 articles were identified as big data nursing research applied to practice.
DISCUSSION: Nurses clearly are beginning to conduct big data research applied to practice. These studies represent multiple data sources and settings. Although numerous analytic methods were used, the fundamental issue remains to define the types of analyses consistent with big data analytic methods.
CONCLUSION: There are needs to increase the visibility of big data and data science research conducted by nurse scientists, further examine the use of state of the science in data analytics, and continue to expand the availability and use of a variety of scientific, governmental, and industry data resources. A major implication of this literature review is whether nursing faculty and preparation of future scientists (PhD programs) are prepared for big data and data science.

PMID: 28057335 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Cross the nursing and HIT divide.

NLM - Nursing Informatics - Sat, 2017-10-21 13:31
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Cross the nursing and HIT divide.

Nurs Manage. 2017 06;48(6):21-23

Authors: Staggers N, Elias BL

PMID: 28548983 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nursing diagnoses in intensive care: cross-mapping and NANDA-I taxonomy.

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Nursing diagnoses in intensive care: cross-mapping and NANDA-I taxonomy.

Rev Bras Enferm. 2016 Mar-Apr;69(2):307-15

Authors: Ferreira AM, Rocha Edo N, Lopes CT, Bachion MM, Lopes Jde L, Barros AL

PMID: 27280567 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Investigation of the Effects of a Nursing Information System by Using the Technology Acceptance Model.

NLM - Nursing Informatics - Wed, 2017-09-13 13:03
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Investigation of the Effects of a Nursing Information System by Using the Technology Acceptance Model.

Comput Inform Nurs. 2017 Jun;35(6):315-322

Authors: Hsu HH, Wu YH

Abstract
The purposes of this study are to investigate the effectiveness of implementing a nursing information system and to discuss several issues affecting its successful deployment from the perspectives of nurses, the major users of the system. The methodology was based on the theory of the technology acceptance model. This study adopted a cross-sectional study method to survey and collect data. In total, 167 questionnaires were distributed to subjects. Approximately 94.6%, or 158 valid questionnaires, were collected. The data were analyzed using SPSS and PLS software.The data analysis indicated that the factors that most significantly influenced the willingness of nurses to use the nursing information system were their degrees of satisfaction with the system and their perceptions of its usefulness. A nursing information system that can provide functions that are useful and convenient and that facilitate the avoidance of tedious repetitive writing and improve the quality of provided care can encourage nurse satisfaction with the system and thus stimulate their interest in using it for their work. The ease of use of the system can also affect the willingness of nurses to use it.

PMID: 27832033 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Assessment, Diagnosis, and Treatment of Binge Eating Disorder.

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Assessment, Diagnosis, and Treatment of Binge Eating Disorder.

J Psychosoc Nurs Ment Health Serv. 2017 Aug 01;55(8):32-38

Authors: Ambrogne JA

Abstract
Binge eating disorder (BED) is the most prevalent eating disorder in the United States, believed to affect an estimated 2.8 million adults. In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders, BED was recognized as a separate diagnosis. The purpose of the current article is to provide an overview of BED including assessment, diagnosis, and current pharmacological and nonpharmacological treatment options. Implications for nursing are also addressed. [Journal of Psychosocial Nursing and Mental Health Services, 55(8), 32-38.].

PMID: 28771285 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Model Guided Design and Development Process for an Electronic Health Record Training Program.

NLM - Nursing Informatics - Sat, 2017-08-26 12:53
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Model Guided Design and Development Process for an Electronic Health Record Training Program.

AMIA Annu Symp Proc. 2016;2016:1814-1821

Authors: He Z, Marquard J, Henneman E

Abstract
Effective user training is important to ensure electronic health record (EHR) implementation success. Though many previous studies report best practice principles and success and failure stories, current EHR training is largely empirically-based and often lacks theoretical guidance. In addition, the process of training development is underemphasized and underreported. A white paper by the American Medical Informatics Association called for models of user training for clinical information system implementation; existing instructional development models from learning theory provide a basis to meet this call. We describe in this paper our experiences and lessons learned as we adapted several instructional development models to guide our development of EHR user training. Specifically, we focus on two key aspects of this training development: training content and training process.

PMID: 28269940 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

[NIC as a tool for assessing competences of nursing students in clinical placement at surgical units].

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[NIC as a tool for assessing competences of nursing students in clinical placement at surgical units].

Enferm Clin. 2015 Jul-Aug;25(4):158-70

Authors: Celma Vicente M, Ajuria-Imaz E, Lopez-Morales M, Fernandez-Marín P, Menor-Castro A, Cano-Caballero Galvez MD

Abstract
BACKGROUND: This paper shows the utility of a NIC standardized language to assess the extent of nursing student skills at Practicum in surgical units
OBJECTIVE: To identify the nursing interventions classification (NIC) that students can learn to perform in surgical units. To determine the level of difficulty in learning interventions, depending on which week of rotation in clinical placement the student is.
METHOD: Qualitative study using Delphi consensus technique, involving nurses with teaching experience who work in hospital surgical units, where students undertake the Practicum. The results were triangulated through a questionnaire to tutors about the degree of conformity.
RESULTS: A consensus was reached about the interventions that students can achieve in surgical units and the frequency in which they can be performed. The level of difficulty of each intervention, and the amount of weeks of practice that students need to reach the expected level of competence was also determined.
CONCLUSION: The results should enable us to design better rotations matched to student needs. Knowing the frequency of each intervention that is performed in each unit determines the chances of learning it, as well as the indicators for its assessment.

PMID: 26078094 [PubMed - indexed for MEDLINE]

Categories: nursing informatics

Nurses' use of computerised decision support systems affects drug monitoring in nursing homes.

NLM - Nursing Informatics - Wed, 2017-08-23 12:51
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Nurses' use of computerised decision support systems affects drug monitoring in nursing homes.

J Nurs Manag. 2017 Jan;25(1):56-64

Authors: Johansson-Pajala RM, Gustafsson LK, Jorsäter Blomgren K, Fastbom J, Martin L

Abstract
AIM: To describe variations in nurses' perceptions of using a computerised decision support system (CDSS) in drug monitoring.
BACKGROUND: There is an increasing focus on incorporating informatics into registered nurses' (RNs) clinical practice. Insight into RNs' perceptions of using a CDSS in drug monitoring can provide a basis for further development of safer practices in drug management.
METHOD: A qualitative interview study of 16 RNs. Data were analysed using a phenomenographic approach.
RESULTS: The RNs perceived a variety of aspects of using a CDSS in drug monitoring. Aspects of 'time' were evident, as was giving a 'standardisation' to the clinical work. There were perceptions of effects of obtained knowledge and 'evidence' and the division of 'responsibilities' between RNs and physicians of using the CDSS.
CONCLUSION: The RNs perceived a CDSS as supportive in drug monitoring, in terms of promoting standardised routines, team-collaboration and providing possibilities for evidence-based clinical practice.
IMPLICATIONS: Implementing a CDSS seems to be one feasible strategy to improve RNs' preconditions for safe drug management. Nurse managers' engagement and support in this process are vital for a successful result.

PMID: 27620980 [PubMed - indexed for MEDLINE]

Categories: nursing informatics
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