Identifying nursing sensitive indicators from electronic health records in acute cardiac care―Towards intelligent automated assessment of care quality
Aim The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive indicators in acute cardiac care. Background Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Qual...
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| Published in | Journal of nursing management Vol. 30; no. 8; pp. 3726 - 3735 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
John Wiley & Sons, Inc
01.11.2022
John Wiley and Sons Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0966-0429 1365-2834 1365-2834 |
| DOI | 10.1111/jonm.13802 |
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| Abstract | Aim
The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive indicators in acute cardiac care.
Background
Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data‐based solutions that automatically extract and help interpret data from electronic health records.
Methods
This is a deductive descriptive study that followed the theory of value‐added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free‐text format.
Results
One thousand six hundred seventy‐six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.
Conclusions
Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.
Implications for Nursing Management
Knowledge‐based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real‐time big data for improved data access and interpretation to better support nursing management in quality assessment. |
|---|---|
| AbstractList | Aim
The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive indicators in acute cardiac care.
Background
Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data‐based solutions that automatically extract and help interpret data from electronic health records.
Methods
This is a deductive descriptive study that followed the theory of value‐added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free‐text format.
Results
One thousand six hundred seventy‐six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.
Conclusions
Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.
Implications for Nursing Management
Knowledge‐based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real‐time big data for improved data access and interpretation to better support nursing management in quality assessment. AimThe aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive indicators in acute cardiac care.BackgroundNursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data‐based solutions that automatically extract and help interpret data from electronic health records.MethodsThis is a deductive descriptive study that followed the theory of value‐added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free‐text format.ResultsOne thousand six hundred seventy‐six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.ConclusionsElectronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.Implications for Nursing ManagementKnowledge‐based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real‐time big data for improved data access and interpretation to better support nursing management in quality assessment. The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.AIMThe aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.BACKGROUNDNursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.METHODSThis is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.RESULTSOne thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.CONCLUSIONSElectronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.IMPLICATIONS FOR NURSING MANAGEMENTKnowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment. The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care. Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records. This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format. One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality. Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice. Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment. |
| Author | Peltonen, Laura‐Maria Gerich, Hanna Moen, Hans |
| AuthorAffiliation | 3 Department of Nursing Science University of Turku Turku Finland 1 Turku University Hospital, Department of Nursing Science University of Turku Turku Finland 2 Department of Computer Science Aalto University Espoo Finland |
| AuthorAffiliation_xml | – name: 1 Turku University Hospital, Department of Nursing Science University of Turku Turku Finland – name: 2 Department of Computer Science Aalto University Espoo Finland – name: 3 Department of Nursing Science University of Turku Turku Finland |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36124426$$D View this record in MEDLINE/PubMed |
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| Copyright | 2022 The Authors. published by John Wiley & Sons Ltd. 2022 The Authors. Journal of Nursing Management published by John Wiley & Sons Ltd. 2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Keywords | acute cardiac care nursing care quality care quality assessment electronic health records nursing-sensitive indicators |
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The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive... The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive... AimThe aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing‐sensitive... |
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| SubjectTerms | acute cardiac care Big Data Cardiology Cardiovascular disease care quality assessment Computerized medical records Documentation Electronic Health Records Health care management Health records Health status Humans Information systems Intelligence Nursing Nursing administration Nursing Care nursing care quality Nursing Records nursing‐sensitive indicators Original Professional practice Quality assessment Quality of care Quality of Health Care |
| Title | Identifying nursing sensitive indicators from electronic health records in acute cardiac care―Towards intelligent automated assessment of care quality |
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