Human Factors Considerations in the Design of Automated Systems for Nursing

1988 ◽  
Vol 32 (6) ◽  
pp. 440-444
Author(s):  
Carole Hudgings
Keyword(s):  
Human Factors ◽  
Information Management ◽  
Nursing Care ◽  
Physical Environment ◽  
Systems Design ◽  
Automated Systems ◽  
Care Environment ◽  
Clinical Nurses ◽  
Clinical Nursing ◽  
Nursing Information System

This paper describes human factors relevant to the design of automated systems for clinical nursing information management, and several studies investigating human factors aspects of new clinical nursing information systems. Functions of systems to assist clinical nurses with information management are described. The importance of human factors in designing these computer systems is discussed by describing three categories of human factors: physical and demographic characteristics of nurses, characteristics of the hospital physical environment, and characteristics of the nursing care environment. Several human factors studies conducted by a multi-hospital corporation and two vendors to understand the nature and impact of human factors on systems design are discussed. Various data collection methodologies are described that investigate two different approaches to the design of hardware solutions for a clinical nursing information system.

scholarly journals Optimization of Clinical Nursing Management System Based on Data Mining

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yongxia Chen
Keyword(s):  
Data Mining ◽  
Information System ◽  
Information Management ◽  
Management System ◽  
Clinical Care ◽  
Nursing Management ◽  
Mining Technology ◽  
Clinical Nursing ◽  
Medical Order ◽  
Nursing Information System

The clinical nursing work based on the establishment and improvement of the clinical nursing system breaks through the traditional nursing work model, which has achieved the advantages of full traceability, practical operation, comprehensive analysis, and individual error correction of nursing work, and greatly improves the nursing quality and work efficiency of nurses. With the advent of the era of big data, how to organically combine data mining technology with nursing information to optimize the nursing information system, apply big data to clinical nursing work through nursing information system, and provide patients with more efficient, high-quality, and safe nursing services is a problem that needs urgent consideration in today’s era. Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. Experiments have proved that the use of a data mining-based clinical care management system can simplify user operations and improve users’ application of software. The application system of nursing methods based on data mining technology more completely integrates nursing information management business, makes nursing information management initially “digital,” and can improve the quality of hospital care to a large extent.

An Application of the HFACS Method to Aviation Accidents in Africa

2016 ◽  
Vol 6 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Isaac Munene
Keyword(s):  
Human Factors ◽  
Physical Environment ◽  
Human Factor ◽  
Flight Training ◽  
African Countries ◽  
Causal Factors ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Adverse Weather ◽  
Decision Errors

Abstract. The Human Factors Analysis and Classification System (HFACS) methodology was applied to accident reports from three African countries: Kenya, Nigeria, and South Africa. In all, 55 of 72 finalized reports for accidents occurring between 2000 and 2014 were analyzed. In most of the accidents, one or more human factors contributed to the accident. Skill-based errors (56.4%), the physical environment (36.4%), and violations (20%) were the most common causal factors in the accidents. Decision errors comprised 18.2%, while perceptual errors and crew resource management accounted for 10.9%. The results were consistent with previous industry observations: Over 70% of aviation accidents have human factor causes. Adverse weather was seen to be a common secondary casual factor. Changes in flight training and risk management methods may alleviate the high number of accidents in Africa.

Current State of Human Factors in Systems Design

2011 ◽  
Author(s):  
Karen Feigh ◽  
Zarrin Chua ◽  
Chaya Garg ◽  
Alan Jacobsen ◽  
John O'Hara ◽  
...  
Keyword(s):  
Human Factors ◽  
Systems Design ◽  
Current State

Current State of Human Factors in Systems Design

2011 ◽  
Vol 55 (1) ◽  
pp. 267-271 ◽  
Author(s):  
K. Feigh ◽  
Z. Chua ◽  
C. Garg ◽  
A. Jacobsen ◽  
J. O'Hara ◽  
...  
Keyword(s):  
Human Factors ◽  
Systems Design ◽  
Current State

Human Factors Analysis of Infection Prevention Practices in the Anesthesia Work Environment

2017 ◽  
Vol 61 (1) ◽  
pp. 639-642
Author(s):  
Ella Franklin ◽  
Lucy Stein
Keyword(s):  
Human Factors ◽  
Work Environment ◽  
Operating Room ◽  
Physical Environment ◽  
Infection Prevention ◽  
Pathogen Transmission ◽  
Organizational Influences ◽  
Space Design ◽  
Factors Analysis ◽  
Emerging Themes

The department of anesthesia for a Washington, D.C. hospital engaged the MedStar National Center for Human Factors in Healthcare to identify opportunities for improving the anesthesia work environment with aims to mitigate the risk of pathogen transmission during operating room procedures. The human factors approach included operating room visits for observation and thematic analysis to identify emerging themes. Process inconsistencies in hand hygiene and cleaning practices were indicative of system vulnerabilities, including organizational influences and the design of the physical environment. Work-space design recommendations as well as strategies to improve infection control processes and safety culture are presented.

Teaming with Technology at the TSA: Practical Methods for Enhancing Human Performance with Automation in Operational Environments

2018 ◽  
Vol 62 (1) ◽  
pp. 639-640
Author(s):  
Kristopher Korbelak ◽  
Jeffrey Dressel ◽  
David Band ◽  
Jennifer Blanchard
Keyword(s):  
Human Factors ◽  
Human Performance ◽  
Automated Systems ◽  
Operational Environment ◽  
Cognitive Constraints ◽  
Organizational Influence ◽  
Transportation Security Administration ◽  
System Use ◽  
Discussion Panel ◽  
System Characteristics

Automated systems are not only commonplace but often are a necessity to complete highly specialized tasks across many operational environments. The Transportation Security Administration (TSA) aims to enhance human performance and increase safety through the acquisition and implementation of various types of automated systems. The Human Performance Branch (HPB) at TSA supports this aim through research on human factors that influence interactions with automation. Knowledge gained from HPB efforts informs TSA of the automated systems that will best suit worker needs, how to integrate these systems into the general workflow, and the relevant human factors that will support proper system use and, ultimately, enhance human performance. This discussion panel reviews a theoretical framework the TSA can use to guide assessment of multiple drivers of human performance in a consistent and standardized fashion as well as several TSA projects investigating three categories of human factors known to influence performance with automation – human (i.e., individual differences, cognitive constraints), context (e.g., organizational influence, environment), and system characteristics (e.g., type of automation) – and how those factors can be accounted for in the operational environment.

scholarly journals Older Adults in Hospitals: Health Promotion When Hospitalized

2021 ◽  
pp. 287-301
Author(s):  
Anne-S. Helvik
Keyword(s):  
Older Adults ◽  
Health Promotion ◽  
Cognitive Impairment ◽  
Nursing Care ◽  
Cognitive Impairments ◽  
Clinical Nursing ◽  
Older Inpatients ◽  
Health Promoting ◽  
To Come ◽  
Age Range

AbstractThe population of older adults (≥60 years) is currently growing. Thus, in the years to come it is expected that a high proportion of patients hospitalized will be in the older age range. In western countries, the proportion of older inpatients is about 40% in the medical and surgical hospitals units. Older people with illness is vulnerable to both physical and cognitive impairments as well as depression. Therefore, a health-promoting perspective and approach are highly warranted in clinical nursing care of older adults in medical hospitals. This chapter focuses on health promotion related to depressive symptoms, impairment in activities of daily living, and cognitive impairment in older hospitalized adults.

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