Abstracts
A hybrid study combining technological production and methodological research aiming to establish associations between the data and information that are part of a Computerized Nursing Process according to the ICNP® Version 1.0, indicators of patient safety and quality of care. Based on the guidelines of the Agency for Healthcare Research and Quality and the American Association of Critical Care Nurses for the expansion of warning systems, five warning systems were developed: potential for iatrogenic pneumothorax, potential for care-related infections, potential for suture dehiscence in patients after abdominal or pelvic surgery, potential for loss of vascular access, and potential for endotracheal extubation. The warning systems are a continuous computerized resource of essential situations that promote patient safety and enable the construction of a way to stimulate clinical reasoning and support clinical decision making of nurses in intensive care.
Nursing process; Reminder systems; Nursing informatics; Atient safety; Intensive Care Units
Estudio híbrido de producción de tecnología y de investigación metodológica. El objetivo fue establecer las asociaciones entre: los datos y la información que integra el Proceso de Enfermería Informatizado a partir de la CIPE® versión 1.0, los indicadores de Seguridad del Paciente y los Indicadores de la Calidad de la Atención, a partir de la orientación de la Agency for Healthcare Research and Quality y de la American Association of Critical-Care Nurses para la expansión de los sistemas de alerta. Se desarrollaron cinco sistemas de alerta para los siguientes problemas potenciales: neumotórax iatrogénico, infecciones secundarias a la atención de salud, dehiscencia de herida quirúrgica abdominal o pélvica en pacientes en el postoperatorio, pérdida del acceso vascular y extubación endotraqueal. Los sistemas de alerta son un recurso informatizado continuo de situaciones esenciales que promueven la seguridad del paciente y que permiten además de construir un modo de estimular el raciocinio clínico, apoyar la toma de decisiones clínicas de enfermería en terapia intensiva.
Procesos de enfermeira; Sistemas recordatorios; Informática Aplicada a la Enfermería; Seguridad del paciente; Unidades de Cuidados Intensivos
Estudo híbrido que combinou produção tecnológica e pesquisa metodológica com o objetivo de estabelecer associações entre os dados e as informações que integram um Processo de Enfermagem Informatizado baseado na CIPE® versão 1.0, indicadores de segurança do paciente e indicadores de qualidade do cuidado. Fundamentados nas orientações da Agency for Healthcare Research and Quality e da American Association of Critical Care Nurses para a ampliação dos sistemas de alerta, foram desenvolvidos cinco sistemas de alerta: potencial para pneumotórax iatrogênico, potencial para infecções secundárias ao cuidado prestado, potencial para deiscência de sutura no pós-operatório de pacientes de cirurgia abdominal ou pélvica, potencial para perda de acesso vascular e potencial para extubação endotraqueal. Os sistema de alerta são um recurso informatizado contínuo de situações essenciais que promove a segurança do paciente e permite construir um modo de estimular o raciocínio clínico e apoiar a tomada de decisão clínica do enfermeiro em Terapia Intensiva.
Processos de enfermagem; Sistemas de alerta; Informática em enfermagem; Segurança do paciente; Unidades de Terapia Intensiva
Introduction
There is currently a broad world consensus among organizations and health services regarding the need for the reduction of injuries or adverse events in patients.
Among the various health care environments, Intensive Care Units (ICU) stand out as
environments in which the focus on patient safety should be strongly present. In those
units, patients are more prone to the occurrence of errors and adverse events, due to: the
severity and seriousness of the disease, increased frequency of pharmacological and
therapeutic interventions, and the use of various technological devices(11.Nascimento CCP, Toffoletto MC, Gonçalves LA, Freitas WG, Padilha KG.
Indicators of healthcare results: analysis of adverse events during hospital stays. Rev
Latino Am. Enferm [Internet]. 2008 [cited 2013 June11];16(4):746-51. Available from:
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-22.Beccaria RLM, Pereira LAM, Contrin M, Lobo SMA, Trajano DHL. Eventos
adversos na assistência de enfermagem em uma unidade de terapia intensiva. Rev Bras Ter
Intensiva [Internet]. 2009 [citado 2013 jun. 11]; 21(3):276-82. Disponível em:
http://www.scielo.br/pdf/rbti/v21n3/a07v21n3.pdf
http://www.scielo.br/pdf/rbti/v21n3/a07v...
).
Most adverse events in the ICU are related to failures in the prevention and diagnosis of
diseases, in drug treatment, in the monitoring system and in the interpretation of the
monitors by professionals, in addition to failures related to indication, placement,
maintenance and withdrawal of accesses, tubes and drains(33.Canineu R, Guimarães HP, Lopes RD, Vendrame LS, Fonseca Júnior MA, Lopes
AC. Iatrogenia em medicina intensiva. Rev Bras Ter Intensiva [Internet]. 2006 [citado 2013
jun. 11];18(1):95-8. Disponível em:
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4.Claro CM, Krocockz DVC, Toffolleto MC, Padilha KG. Adverse events at the
Intensive Care Unit: nurses’ perception about the culture of no-punishment. Rev Esc Enferm
USP [Internet]. 2011 [cited 2013 June 11];45(1):167-72. Available from:
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5.Faria LMP, Cassiani SHB. Interação medicamentosa: conhecimento de
enfermeiros das unidades de terapia intensiva. Acta Paul Enferm [Internet]. 2011 [citado
2013 jun. 11];24(2):264-70. Disponível em:
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-66.Lima REF, Cassiani SHB. Potential drug interactions in intensive care
patients at a teaching hospital. Rev Latino Am Enferm [Internet]. 2009 [cited 2013 June
11];17(2):222-7. Available from:
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).
It is believed that some technical changes can improve safety for patients, including the implementation of electronic medical records structured according to global terminologies and classification systems and awareness of health professionals to the safety and quality of care.
Electronic health records are relevant sources of information for monitoring the levels of
quality and safety. Such records should prioritize quality and reliability. When making
records using the Nursing Process (NP), professionals should adopt a method that supports
the reliability of data collection in order to establish the quality of the indicators
assessed(77.Evans SM, Lowinger JS, Sprivulis PC, Copnell B, Cameron PA. Prioritizing
quality indicator development across the healthcare system: identifying what to measure.
Intern Med J. 2009;39(10):648-54-88.Labbadia LL, D’innocenzo M, Fogliano RRF, Silva EF, Queiroz RMRM,
Carmagnani MIS, et al. Computerized system for managing nursing care indicators at
Hospital São Paulo. Rev Esc Enferm USP [internet]. 2011 [cited 2013 June 11];45(4):1013-7.
Available from: http://www.scielo.br/pdf/reeusp/v45n4/en_v45n4a32.pdf
http://www.scielo.br/pdf/reeusp/v45n4/en...
), improve and support patient safety, ensure quality of care and give
visibility to the everyday nursing actions(99.Lima CLH, Nóbrega MML. Banco de termos da linguagem especial de enfermagem
da clínica médica. Rev Eletr Enferm [Internet]. 2009 [citado 2013 jun. 11];11(1):12-22.
Disponível em: http://www.fen.ufg.br/fen_revista/v11/n1/pdf/v11n1a02.pdf
http://www.fen.ufg.br/fen_revista/v11/n1...
10.Padilha EF, Matsuda LM. Qualidade dos cuidados de enfermagem em terapia
intensiva: avaliação por meio de auditoria operacional. Rev Bras Enferm [Internet]. 2011
[citado 2013 jun. 11];64(4):684-91. Disponível em:
http://www.scielo.br/pdf/reben/v64n4/a09v64n4.pdf
http://www.scielo.br/pdf/reben/v64n4/a09...
-1111.Pyle K, Wavra T. Quality indicators for critical care. AACN Adv Crit
Care. 2007; 18(3):229-43. ).
Since 1999, a proposal for a Computerized Nursing Process (CNP) developed by the Department of Nursing of the Federal University of Santa Catarina, based on the International Classification for Nursing Practice (ICNP®) Version 1.0 for ICUs has been implemented and assessed by nurses, professors and system programmers. In each study, the CNP has been assessed and modifications have been introduced.
In 2006, for example, an information structure proposal via Web was reached that met the
demands of nursing care of patients with multiple traumas in the ICU. In 2008, the structure
of the NP information system was constructed, implemented and assessed in a Personal Digital
Assistant (PDA) mobile device integrated to a previously developed computerized system via
Web(1212.Barra DCC, Sasso GTMD. Mobile bedside technology: computerized nursing
processes in intensive care unit from ICNP 1.0®. Texto Contexto Enferm [Internet]. 2010
[citado 2013 jun. 11];19(1):54-63. Disponível em:
http://www.scielo.br/pdf/tce/v19n1/v19n1a06.pdf
http://www.scielo.br/pdf/tce/v19n1/v19n1...
).
The CNP based on the ICNP® Version 1.0 is available via the Web at: http://www.nfrinfor.ufsc.br and
http://www.nfrinfor.ufsc.br/movel
for both desktop and mobile devices. It can be accessed through the provision of login and
password provided by the system administrators. The CNP suggests a group of diagnoses based
on the assessment of clinical changes presented by the patient and then another group of
nursing interventions for the diagnoses chosen by nurses, i.e., the nursing diagnoses are
specific for each clinical situation or change presented by the patient during the
assessment and interventions are specific for the diagnoses presented(1212.Barra DCC, Sasso GTMD. Mobile bedside technology: computerized nursing
processes in intensive care unit from ICNP 1.0®. Texto Contexto Enferm [Internet]. 2010
[citado 2013 jun. 11];19(1):54-63. Disponível em:
http://www.scielo.br/pdf/tce/v19n1/v19n1a06.pdf
http://www.scielo.br/pdf/tce/v19n1/v19n1...
-1313.Dal Sasso GTM, Barra DCC, Paese F, Almeida SRW, Rios GC, Marinho MM, et
al. Computerized nursing process: methodology to establish associations between clinical
assessment, diagnosis, interventions, and outcomes. Rev Esc Enferm USP [Internet]. 2013
[cited 2013 June 12];47(1):242-9. Available from:
http://www.scielo.br/pdf/reeusp/v47n1/en_a31v47n1.pdf
http://www.scielo.br/pdf/reeusp/v47n1/en...
).
In the CNP structure, warning systems were introduced through features of Information and Communication Technologies (ICT). Built in 2006, such systems were aimed at early identification of the ICU patient’s risks in three specific situations, and at supporting nurses in decision-making about nursing care and patient safety. The warnings could be visualized in the Web-based computerized system on the clinical conditions and nursing diagnoses selected during the nurses’ assessment.
When the message warning is seen in the CNP, nurses checked that three situations could be occurring: I) the same nursing diagnosis for over three days, and/or, II) use of vasoactive drugs in adrenergic alpha (α) or beta (β) doses and/or; III) potential for pressure ulcers. In order to know which of these three warning systems the patient had, professionals would simply click on the warning sign and she would be automatically directed to an initial assessment screen where the warning was shown, highlighted in red.
The positive assessment of the professionals about the changes implemented in both the
desktop system (via WEB) and the mobile system (via PDA) enabled the conclusion that such
systems were accessible and usable to implement the CNP in ICUs and contributed to nursing
clinical decision-making regarding care and patient safety(1212.Barra DCC, Sasso GTMD. Mobile bedside technology: computerized nursing
processes in intensive care unit from ICNP 1.0®. Texto Contexto Enferm [Internet]. 2010
[citado 2013 jun. 11];19(1):54-63. Disponível em:
http://www.scielo.br/pdf/tce/v19n1/v19n1a06.pdf
http://www.scielo.br/pdf/tce/v19n1/v19n1...
13.Dal Sasso GTM, Barra DCC, Paese F, Almeida SRW, Rios GC, Marinho MM, et
al. Computerized nursing process: methodology to establish associations between clinical
assessment, diagnosis, interventions, and outcomes. Rev Esc Enferm USP [Internet]. 2013
[cited 2013 June 12];47(1):242-9. Available from:
http://www.scielo.br/pdf/reeusp/v47n1/en_a31v47n1.pdf
http://www.scielo.br/pdf/reeusp/v47n1/en...
-1414.Barra DCC, Sasso GTMD, Monticelli M. Processo de enfermagem informatizado
em unidade de terapia intensiva: uma prática educativa com enfermeiros. Rev Eletr Enferm
[Internet]. 2009 [citado 2013 jun. 24];11(3):579-89. Disponível em:
http://www.fen.ufg.br/revista/v11/n3/v11n3a15.htm
http://www.fen.ufg.br/revista/v11/n3/v11...
). Some
recommendations for future work were suggested, among them the expansion of new warning
systems for the CNP.
The objective of the present study was to establish associations between the data and information that are part of the CNP, according to the ICNP® Version 1.0, indicators of patient safety and quality of care, based on guidelines from the Agency for Healthcare Research and Quality (AHRQ) and the American Association of Critical-Care Nurses (AACN), for the extension of the warning systems.
Method
It was a hybrid study combining technological production and methodological research(1515.Abedellah FG, Levine E. Better patient care through nursing research. New York: MacMillan; 1965) for the expansion of warning systems for the CNP, according to the ICNP® Version 1.0. It was submitted to the Ethics Research Committee of the Federal University of Santa Catarina (CEP-UFSC), and approved under protocol 466/12.
The professionals that participated in its construction were a doctorally-prepared professor, specialist in ICU and in Nursing Health Informatics, two graduated nurses, and one systems programmer who graduated in Computer Sciences. The participants (except for the systems programmer) were also the evaluators of the study, because they were specialists in ICU and Emergency and developed research activities with the ICNP® Version 1.0 in the Clinical Research, Technology, Health Informatics and Nursing Group at the Federal University of Santa Catarina (GIATE/PEN/UFSC) since 2003.
The study was performed between the second semester 2011 and the first semester 2012, through the development of the following phases. In the First phase, there was a theoretical study on the themes: patient safety in the ICU, patient safety indicators (PSIs), quality of care indicators, electronic nursing documentation and NP according to the ICNP® Version 1.0. Among the twenty AHRQ PSIs, those which were closest to nursing care in the ICU and which supported the development of new warning systems were chosen: I) potential for iatrogenic pneumothorax (PSI 6); II) potential for care-related infections (PSI 7), and III) potential for suture dehiscence in patients after abdominal or pelvic surgery (PSI 14).
In the literature review on patient safety, it was found that two other warnings could be developed from the Nursing-sensitive Care Quality Indicators in ICU established by the American Association of Critical Care Nurses (AACN). Thereby, in order to minimize the occurrence of adverse events related to venous puncture and endotracheal intubation, two other warnings were defined: IV) potential for loss of vascular access, and V) potential for endotracheal extubation.
In the Second stage, a theoretical study on the Fuzzy Set Theory, Fuzzy Logic concepts and Fuzzy Inference Systems was performed. This stage was essential to understand the production rules called if ... then, used to establish associations between data in the CNP (clinical assessment, nursing diagnosis and interventions for each human system) for the development of new warning systems.
Although formal logic states that if the patient has a particular health problem, then a given change/clinical manifestation should be established, in Fuzzy Logic reasoning and clinical judgment involve various fuzzy paths, since the clinical manifestations are individual and encompass a series of subjective and objective judgment structures.
The Fuzzy Sets Theory and Fuzzy Logic concepts provide the necessary mathematical tools to
deal with linguistic rules used in Fuzzy Inference Systems. Such systems seek to establish
the mode of reasoning by means of linguistic rules that attempt to mimic the human ability
to make rational decisions through objective knowledge in an environment of uncertainty and
imprecision. If an individual is able to establish/coordinate his action strategy as a set
of linguistic rules, such as implication operator if ... then, it becomes feasible to build
an algorithm to be implemented within a computer(1616.Tanscheit R. Sistemas Fuzzy [Internet]. Belo Horizonte: Departamento de
Engenharia Elétrica da Pontifícia Universidade Católica de Minas Gerais; 2003 [citado 2013
jun. 12]. Disponível em:
http://www2.ica.ele.puc-rio.br/Downloads/41/LN-Sistemas%20Fuzzy.pdf
http://www2.ica.ele.puc-rio.br/Downloads...
-1717.Perfilieva I. Fuzzy IF-THEN rules from logical point of view. In:
Proceedings the International Conference 9th Fuzzy Days in Dortmund, Germany, 2006 Sept.
18-20. Comput Intell Theory Apl [Internet]. 2006 [cited 2013 June 11];38:691-7. Available
from: http://link.springer.com/book/10.1007/3-540-34783-6
http://link.springer.com/book/10.1007/3-...
).
It is noteworthy that the composition of relations is of fundamental importance in Fuzzy
Inference Systems. In this study we chose to adopt the implication operator if... then. This
operator, also known as fuzzy conditional statement, describes the dependence of the value
of a linguistic variable on the value of another(1616.Tanscheit R. Sistemas Fuzzy [Internet]. Belo Horizonte: Departamento de
Engenharia Elétrica da Pontifícia Universidade Católica de Minas Gerais; 2003 [citado 2013
jun. 12]. Disponível em:
http://www2.ica.ele.puc-rio.br/Downloads/41/LN-Sistemas%20Fuzzy.pdf
http://www2.ica.ele.puc-rio.br/Downloads...
-1717.Perfilieva I. Fuzzy IF-THEN rules from logical point of view. In:
Proceedings the International Conference 9th Fuzzy Days in Dortmund, Germany, 2006 Sept.
18-20. Comput Intell Theory Apl [Internet]. 2006 [cited 2013 June 11];38:691-7. Available
from: http://link.springer.com/book/10.1007/3-540-34783-6
http://link.springer.com/book/10.1007/3-...
), i.e., the
conditional/linguistic rules consist of statements such as, if patient has a deep vascular
access, then there is potential for loss of vascular access.
In the Third stage, an association between the data of the clinical assessment, diagnoses and interventions of every human system for the new warnings established was performed by using the conditional statements and linguistic rules associated with the implication operator if... then. This stage was accomplished through weekly meetings and was considered the most complex because it required the integration of professional practice and theory by the researchers, the development of clinical reasoning and judgment on the many possibilities of association that could occur for the development of each new warning system.
The association/articulation of the data resulted from the grouping of possible clinical situations and/or nursing diagnoses and/or interventions for every human system that could be selected by the nurse during the record/clinical documentation in the CNP, leading to the generation of the corresponding warning system.
In the Fourth stage, a general meeting was held to review the associations and enter the data into a spreadsheet, using Excel®, and later into the computerized system. This step was performed in conjunction with the systems programmer specialist in Computer Sciences.
Results
In the warning systems potential for iatrogenic pneumothorax and potential for care-related infections, patients may show any clinical situation and/or nursing diagnosis and/or intervention for the warning to be generated. It is not necessary that all the items of a set of conditional statements are selected by the nurse. That means that, when selecting any of the items of clinical assessment, nursing diagnosis or interventions of either human system contemplated, warnings are triggered in the system.
For the warning system potential for iatrogenic pneumothorax, clinical data, nursing diagnoses and interventions of the respiratory, cardiovascular and musculoskeletal systems were associated. Chart 1 shows the association held in the respiratory system.
For the Warning system potential for care-related infections, it was necessary to establish associations of data and information from virtually all human systems that integrate the CNP, since patients admitted to the ICU are exposed to the occurrence of infections due to the gravity of diseases and invasive therapeutic procedures. Thereby, data of respiratory, cardiovascular, musculoskeletal, gastrointestinal, renal, and integumentary systems were associated. Thus, the presence of conditional statements within any of the human systems assessed by nurses was sufficient to trigger the alarm. Chart 2 shows the associations established in the gastrointestinal and renal systems, as an example.
For the warning, potential for suture dehiscence in patients after abdominal or pelvic surgery, patients must have undergone an abdominal and/or pelvic surgery. This warning was covered only with a combination of data and information provided in the integumentary system, in which case nurses must, without fail, select the item in the clinical assessment, Wound healing: primary, secondary or tertiary intention. In that same human system, they must select the diagnoses compromised surgical wound and/or compromised abdominal or pelvic surgical wound for the warning to be generated by the CNP and visualized by the professional.
For the warning system potential for loss of vascular access and potential for endotracheal extubation, developed from the Nursing-Sensitive Quality Indicators in the ICU established by the AACN, patients must have peripheral and/or deep vascular access and be intubated and mechanically ventilated, respectively.
For the warning system potential for loss of vascular access, clinical data from the nursing diagnoses of the cardiovascular system were comprehended, and for the warning, potential for endotracheal extubation, clinical data, nursing diagnoses and interventions of the respiratory system.
The three warning systems, potential for suture dehiscence in patients after abdominal or pelvic surgery, potential loss of vascular access, and potential for endotracheal extubation - have mandatory selection criteria so that they can be generated by the system. They may or may not be associated with other clinical data, nursing diagnoses and interventions present in other human systems, as explained in Chart 3.
Discussion
Considering all the discussions about patient safety, it is currently imperative that
care-related risks of harm and adverse events are reduced to an acceptable minimum rate
compared to updated knowledge, to the context in which health care is performed and
technological resources are available(1818.Pedreira MLG. Enfermagem para a segurança do paciente. Acta Paul Enferm
[Internet]. 2009 [citado 2013 jun. 12];22(4). Disponível em:
http://www.scielo.br/pdf/ape/v22n4/a01v22n4.pdf
http://www.scielo.br/pdf/ape/v22n4/a01v2...
-1919.Camerini FG, Silva LD. Segurança do paciente: análise do preparo de
medicação intravenosa em hospital da rede sentinela. Texto Contexto Enferm [Internet].
2011 [citado 2013 jun. 12];20(1):41-9. Disponível em:
http://www.scielo.br/pdf/tce/v20n1/05.pdf
http://www.scielo.br/pdf/tce/v20n1/05.pd...
).
Especially in the ICU, the quality of care provided can be assessed by indicators of a
technical, educational, environmental, structural and ethical nature. In these environments,
indicators can reflect positively on various aspects such as: greater recognition,
visibility and professional respect; better informed health teams, higher rate of hospital
occupancy and turnover of hospital beds, shorter hospitalization, waste control and cost
rationalizing, improved quality of care, increased patient and family satisfaction, and
greater safety for the patient and others(2020.Vieira APM, Kurcgant P. Indicadores de qualidade no gerenciamento de
recursos humanos em enfermagem: elementos constitutivos segundo percepção de enfermeiros.
Acta Paul Enferm [Internet]. 2010 [citado 2013 jun. 12];23(1):11-5. Disponível em:
http://www.scielo.br/pdf/ape/v23n1/02.pdf
http://www.scielo.br/pdf/ape/v23n1/02.pd...
).
By extending the Warning systems from the establishment of the association of clinical data
and information that comprise the CNP and the guidelines of ARQH and AACN, it is understood
that both PSI as nursing-sensitive indicators of quality enable the creation of systems and
operational processes to minimize errors and maximize the likelihood of intercepting
errors/adverse events before they occur(2121.U. S. Department of Health & Human Services; Agency for Healthcare
Research and Quality. AHRQ quality indicators: guide to patient safety indicators –
version 3.1. [Internet]. 2007 [cited 2013 June 12]. Available from:
http://www.qualityindicators.ahrq.gov
http://www.qualityindicators.ahrq.gov...
).
Patient Safety Indicators are a set of specific quality measures/indicators that reflect the quality of care in hospitals, focusing on aspects of patient safety and demonstrating the adverse events as a result of the experience of patients during exposure to the health care system.
The PSI were launched in March of 2003, by the AHRQ and National Healthcare Disparities
Report (NHDR), both in the United States, providing a comprehensive vision and a vision on
the changes in the level of quality of health care(2121.U. S. Department of Health & Human Services; Agency for Healthcare
Research and Quality. AHRQ quality indicators: guide to patient safety indicators –
version 3.1. [Internet]. 2007 [cited 2013 June 12]. Available from:
http://www.qualityindicators.ahrq.gov
http://www.qualityindicators.ahrq.gov...
22.U. S. Institute of Medicine; National Academies. Crossing the quality
chasm: a new health system for the 21st century. Washington: National Academies Press;
2001-2323.Gouvea CSD, Travassos C. Indicadores de segurança do paciente para
hospitais de pacientes agudos: revisão sistemática. Cad Saúde Pública [Internet]. 2010
[citado 2013 jun. 13]; 26(6):1061-78. Disponível em:
http://www.scielo.br/pdf/csp/v26n6/02.pdf
http://www.scielo.br/pdf/csp/v26n6/02.pd...
).
By establishing warning systems for the CNP according to the ICNP® version 1.0, a way to
stimulate clinical reasoning and therefore to support clinical decision making of nurses in
ICU was constructed. Reasoning and clinical decision-making are thought processes that guide
practice, i.e., it is a dynamic process, composed of a sequence of thoughts of nurses in
order to make decisions about their actions(2424.Kontio E, Lundgren-Laine H, Kontio J, Korvenranta H, Salanterä S.
Information utilization in tactical decision making of middle management health managers.
Comput Inform Nurs. 2013;31(1):9-16
25.Brokel JM, Schwichtenberg TJ, Wakefield DS, Ward MM, Shaw MG, Kramer JM.
Evaluating clinical decision support rules as an intervention in clinician workflows with
technology. Comput Inform Nurs. 2011;29(1):36-42-2626.Lundgrén-Laine H, Kontio E, Perttilä J, Korvenranta H, Forsström J,
Salanterä S. Managing daily intensive care activities: an observational study concerning
ad hoc decision making of charge nurses and intensivists. Crit Care.
2011;15(4):R188).
The structured logic of data and information in the CNP is a path to clinical reasoning, which does not mean that such a structure is the standard for electronic recording in nursing. However, it was built on fundamental criteria for their development, such as the ICNP® Version 1.0; forms of teaching and assessment in Brazil, evidence-based practice, patient safety and structure of alert systems.
Warnings generated by the system do not replace decision making, but they are a technological feature that enables the development of a safer practice of care, preventing complications, damage and adverse events to the patient, and continuously stimulating clinical revisiting by nurses, approaching their care at the bedside.
The warnings are integrated into all stages of the CNP and are triggered when nurses perform all of any of the stages of the CNP (clinical assessment and/or diagnoses and/or interventions) of human systems which were associated with their respective warnings. That demonstrates that this technological product has great potential application in clinical nursing practice.
Structured according to the ICNP® Version 1.0, the CNP has several implications for research, including: establishing the situations of greater risk to the patient for the prevention of adverse events; assessing nursing care and outcomes; determining the accuracy of nursing diagnoses and interventions, and establishing measures of indicators of quality of care and patient safety.
One limitation of this study is that, although they have been extended, warning systems have not crossed the complexity of intensive nursing care, and it is necessary to develop new warnings to improve patient safety .
Conclusion
The use of resources made available by ICT enabled the association of clinical data and information, nursing diagnoses and interventions, according to the ICNP® Version 1.0, for the expansion of warning systems in the CNP.
Based on the guidelines of the Agency for Healthcare Research and Quality and the American Association of Critical Care Nurses, five new warning systems were developed: potential for iatrogenic pneumothorax; potential for care-related infections; potential for suture dehiscence in patients after abdominal or pelvic surgery; potential for loss of vascular access and potential for endotracheal extubation. Broadening warning systems according to the indicators of the AHRQ Patient Safety Indicators and AACN Nursing Quality Indicators may be a strategy to promote quality of care and patient safety in the ICU.
It is considered that the warning systems provide support to nurses to prevent the occurrence of injury and adverse events. This is an ongoing computerized resource of essential situations that promotes patient safety, stimulates clinical reasoning and judgment, and supports decision making by these professionals in the ICU.
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*
Extracted from the thesis "Processo de enfermagem informatizado e a segurança do paciente em terapia intensiva a partir da CIPE® versão 1.0: a evidência clínica para o cuidado", Nursing Graduate Program, Federal University of Santa Catarina, 2012.
Publication Dates
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Publication in this collection
Feb 2014
History
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Received
24 June 2013 -
Accepted
31 Oct 2013