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Introduction to Nursing Informatics

Part of the book series: Health Informatics ((HI))

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Abstract

Nurse managers play a critical role in ensuring an appropriate number and mix of staff are available to ensure safe patient care is provided. When leadership decisions are effective, we see improved patient care outcomes, better staff performance, increased job satisfaction and staff retention. However, when decision making is less effective both patients and staff can be negatively impacted. The impact is particularly noticeable for patients who may experience increased adverse events, including greater risk of dying. Making evidence-based staffing decisions can be challenging for nurse managers given the complexity of today’s workplace and importantly, a lack of access to real-time data. Many factors impact on their decisions including nursing shortages; challenges to skills mix (human capital such as experience and qualifications); staff stress, burnout and fatigue; changes to the complexity of patient care needs; an aging workforce and communication inefficiencies. There are many workload measurement tools used internationally, but most are not based on real-time data showing patient acuity, bed occupancy rates and the quality and availability of staffing resources, all factors which are necessary to make cost-effective staffing decisions. Instead, nurse managers are left with many static and disparate reporting systems that do not meet managerial requirements for decision-making. This can result in increased workloads and stress for nurse managers, which also ultimately impact clinical staff. Hospitals need to develop and use software systems which will harness existing data, allowing nurse managers to extract, analyze and interpret data in a timely manner to support appropriate and safe nurse staffing decisions.

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Authors and Affiliations

  1. School of Nursing and Midwifery, Edith Cowan University, Perth, WA, Australia

    Gemma Doleman & Christine Duffield

  2. Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia

    Christine Duffield

Authors
  1. Gemma Doleman
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  2. Christine Duffield
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Correspondence to Gemma Doleman .

Editor information

Editors and Affiliations

  1. School of Nursing, Psychotherapy and Community Health, Center of eIntegrated Care, Dublin City University, Dublin, Ireland

    Pamela Hussey

  2. Center of Excellence, Gevity Consulting Inc and Kennedy Health Informatics Inc, Halifax, NS, Canada

    Margaret Ann Kennedy

9.1 Electronic Supplementary Material

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Glossary

CQI

Continuous Quality Improvement

DRG

Diagnosis Related Groups

Failure to rescue FR

As a safety and quality measure, failure to rescue has been defined as the inability to prevent death after the development of a complication.

MDC

Major Diagnostic Categories

MIS

Management Information System

NHpPD

Nursing Hours per Patient Day

NSO

Nursing Sensitive Outcomes—a measure of nursing’s contribution to patient safety.

NWMS

Nursing Workload Management System, which measure direct, indirect, and nonclinical patient care hours by patient acuity

PAIS

Patient Assessment and Information System

Patient churn

The excessive movement of patients due to admissions, transfers and discharges

PCS

Patient Classification System, also used interchangeably with NWMS

TQM

Total Quality Improvement

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Doleman, G., Duffield, C. (2021). Administrative Applications. In: Hussey, P., Kennedy, M.A. (eds) Introduction to Nursing Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-58740-6_9

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