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Proposed update for the ANA nursing informatics

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Proposed update for the ANA nursing informatics

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With all the changes always happening in technology, an update to the scope and standard of Nursing Informatics should be incorporating more machine learning or supporting artificial intelligence programs.  In the article in Nursing Management, Robert talks about how machine learning is when a computer uses a program for a specific task, and then the computer will use an algorithm to learn from the data and interpret it (2019).  As robots learn to perform nursing functions, such as ambulation support, vital signs measurement, medication administration, and infectious disease protocols, the role of nurses in care delivery will change (Robert, 2019).

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Explain ways in which the nurse informaticist can ensure the quality of data and information.  

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Explain ways in which the nurse informaticist can ensure the quality of data and information.  

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Nursing informatics uses technology tools to collect, analyze, and monitor patients' charts.  Reports can be run to find any duplicate orders or outliner vital signs that need to be addressed.  Parameters can be put in place that only allow providers to order medications that have been approved by the pharmacy and are correctly listed in the system.  This would also flag them when they are ordering medications, if there are any interactions with medications the patient is already taking.  Nurses play a major role in entering data into electronic health records, and we should be using available tools to analyze and use these data to improve care delivery (Jeffery, 2022).  Nursing informatics maintain these reports and work with healthcare workers to look for any areas of concern and ways to help prevent charting errors.

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Comprehensive model of practice for nursing informatics and interdisciplinary collaboration

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Comprehensive model of practice for nursing informatics and interdisciplinary collaboration

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Nursing informatics...what does it incorporate?

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Nursing informatics...what does it incorporate?

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The American Nurses Association (ANA) has established standards of performance for Nursing Informatics as detailed in the ANA Nursing Informatics Scopes and Standards of Practice. Standard of performance number nine addresses Evidence-Based Practice. Evidence-Based practice calls for integration of evidence and research into practice (American Nurses Association [ANA], 2015). Care processes and practice should be guided on data and current research. Promotion of clinical research and incorporation of finding into practice is an element of advanced nursing practice in informatics (ANA, 2015).

Standard number ten, quality and effectiveness of practice must be upheld (ANA, 2015). Through quality of practice the informatics nurse should demonstrate innovation to enhance care delivery and patient satisfaction (ANA, 2015). Incorporate quality improvement initiatives to streamline processes (ANA, 2015). Advanced practice nurse informaticists will collect and validate data in order to identify opportunities and promote effective use of health information technology (ANA, 2015). Informatics nurse specialist will obtain and keep current professional certification in informatics (ANA, 2015).

Standard number fifteen resource utilization. Informatics nurses employ resources that are safe, effective, and fiscally responsible (ANA, 2015). Opportunities for harm are identified, allocation of resources of evaluated, advocation of supporting technology, and assisting patients and care providers are encompassed within this standard (ANA, 2015). Additionally, the advanced practice nurse informaticist will utilized community resources, formulate solutions, and design strategies for effectiveness and optimal outcomes (ANA, 2015).

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It's essential for nurses to have high-level information literacy to improve science-based healthcare and outcomes. This can be considered the basis of critical thinking in nursing, and information quality and accessibility directly affects nursing initiatives. In addition, policy makers and healthcare organizations rely heavily on evidence-based practice and advanced technology to promote desirable outcomes (Abdekhoda, 2021).

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Introduction

Nowadays, considering the significance of information literacy in obtaining official and reliable information, it is necessary for nurses to have high-level information literacy in order to improve their science-based performance (Janave et al., 2015). The clinical team, especially nurses who have a crucial role in caring for patients, should obtain information on the latest changes related to clinical care and update themselves on clinical information (Janave et al., 2015; Khezri & Abdekhoda, 2019; Wadson & Phillips, 2018).

Enhancing information literacy is the basis of critical thinking in nursing, and the requirement for successfully implementing the evidence-based approach in clinical practice. In fact, applying new clinical evidence in developing and enhancing a nurse"s professional life is a critical issue (Janave et al., 2015). The final goal of nursing services is to provide high quality care while improving the outcome of services for patients and society. Naturally, it is expected that the health system services be based on evidence, methods, and scientific decisions (Cullen et al., 2020; Stevens & Cassidy, 1999; Xiang & Hua, 2018).
Health professionals, such as nurses, should have the ability to use up-to-date online clinical care information to enhance the quality of health care services. Nurses have acknowledged that nursing care and methods are significantly affected by information quality and availability (Zigdon et al., 2020). Also, many routine healthcare procedures are based solely on traditional methods, work assumptions and hypotheses, individual skills and unorganized clinical observations (Stevens & Cassidy, 1999).

Evidence-based practice is a framework for clinical practice, which integrates the vigilant, clear and perceptive use of the best available evidence for decision-making regarding patient care. Also, it is vital to undergraduate and graduate nursing education (Haines, 2018; Mackey & Bassendowski, 2017). In fact, the capability of having information literacy includes an architectural understanding of information and the research process, and the ability to search in various electronic and published tools in order to accurately retrieve, select and evaluate information resources based on accuracy, authority, objectivity, currency and coverage of the resources. Thus, creating an effective connection between information needs and findings is beneficial (Abdekhoda, Dehnad, et al., 2016; Abdekhoda et al., 2017).
To effectively search data banks, it is necessary that nurses and nursing students become more familiar with information literacy skills such as how to organize information in data banks, create and arrange search terms and create search strategies that result in obtaining high-quality papers in clinical care (Parvinia Nasab et al., 2014).

According to research carried out by Janave et al. (2015), the American Medical Association announced that 90 percent of health care decisions in the year 2020 would be evidence-based. From the viewpoint of training staff, the insufficient number of personnel for employing evidence-based care (82.5%) was the most important obstacle in not having trained individuals to employ research findings for evidence-based care. As well, the great number of patients (77.5%) stood in second place as a barrier. An insufficient amount of necessary equipment such as computers, Internet access, and electronic notices on wards was considered the least obstacle in regard to carrying out evidence-based care (22%) (Parvinia Nasab et al., 2014).

In Iran, during the past few years, significant changes have taken place in the realm of nursing. Instances such as teaching International Computer Driving Licenses (ICDL) skills, holding weekly scientific seminars in the hospital, instructors being available and nursing students access to up-to-date sources of information in the clinical environment, reduction in the nurses work load in training hospitals, reduction in the nurses working hours between 8 to 24 hours a week, and creating a website in the hospital have been among the changes made to address these needs (Kahouei et al., 2013).

Studies carried out in this realm have focused on the necessity to use evidence-based practice, the viewpoint of nurses and existing obstacles. Also, customers, policymakers and healthcare organizations believe that changing and transforming healthcare services by adopting new approaches, such as using evidence-based practice, and upcoming technology, such as applying Electronic Medical Records (EMRs) are critical (Abdekhoda, Ahmadi, et al., 2016).

Based on the review of literature, the researchers found that nurses" evidence-based practice competencies are an important issue and are considered in some studies (Elsayed et al.; Fehr, 2014; Janave et al., 2015). "Evidence-based practice is a conscientious, problem-solving approach to clinical practice that incorporates the best evidence from well-designed studies, patient values and preferences, and a clinician's expertise in making decisions about patient care" (Evidence-Based Practice, 2020). Therefore, in alignment with the structural changes related to enhancing nurses" information technology skills, this study aimed to evaluate the effect of health informatics literacy on evidence-based practice in nursing.
Materials and Methods
This research was an analytical descriptive study carried out from January to April 2018. The research objective was to investigate the impact of health informatics literacy on the evidence-based practice of nursing. The study setting was in educational hospitals affiliated with Tabriz University of Medical Sciences where registered nurses were working. The research community included nurses working at Tabriz University of Medical Sciences hospitals, 205 of which were selected as the sample population based on Krejcie & Morgan"s table. Krejcie & Morgan (1970) presented tables which show the sample size needed in line with a certain degree of reliability and population size.

The instrument used was a translated questionnaire which was prepared using literature related to information literacy and evidence-based practice such as the doctoral dissertation by Susanne Fehr (2014). In order to check the validity of the questionnaire, a validation form was provided, in which relevance, clarity and simplicity were considered for each item. The validation forms were distributed among 10 specialists in the realm of nursing, health information management and medical informatics. The content validity index (CVI) and content reliability ratio (CVR) were considered for each item and the items that received a low score were eliminated (Patra & Guha, 2018). In order to determine reliability, the questionnaire was distributed among 30 nurses and then the internal correlation among the questionnaire items was measured and Cronbach"s alpha was obtained (98%).

Finally, the questionnaire was developed with seven variables and 65 items, including the variables of demographic information with seven items, job satisfaction had six items, self-efficacy had four items, evidence-based practice had 11 items, computer literacy with 19 items, informatics skills with 10 items, and informatics knowledge with 8 items (Table 1).

To determine the correlation between the variables shown in Table 1, a correlation matrix was constructed. Furthermore, the collected data were analyzed by SPSS v.16. The correlation between variables was measured by Pearson"s correlation and regression tests.
Ethical considerations
The study was approved by the Ethics Committee of Tabriz University of Medical Sciences (ethical code: IR.TBZMED.REC.1396.58746).
Results
Demographic information of the sample indicated that the average age of most participants was 34 years old. Regarding the level of education, most participants had a bachelor"s degree (76.6%). Also, most participants were on evening-night duty (41.0%) and had the organizational position of ward nurse (58.5%). Most participants spent less than three hours working with the Hospital Information System (HIS) (73.7%) and had work experience of less than five years (43%).

Tables 2 and 3 show a significant relationship was observed between computer skills and evidence-based practice (p=0.001, r=0.43). In addition, B=0.94 for the regression slope showed that with an increase of one unit in computer skills, evidence-based practice increased by 0.94 units on average, with the peak being at β=0.43.

Regarding the coefficient of determination, R2=18.9% of changes in evidence-based practice were depicted by computer skills. R2 indicated that 18.9 percent of the variance of nurse"s evidence-based practice competency was explained by their computer skills.

A significant relationship was observed between informatics knowledge and evidence-based practice (p=0.001, r=0.45). Also, B=0.45 for the regression slope indicated that with an increase of one unit in informatics knowledge, evidence-based practice increased by 0.45 units on average, with the peak being at β=0.45. Regarding the coefficient of determination, R2=20.3% of the changes in evidence-based practice were depicted by informatics knowledge. R2 showed that 20.3 percent of the variance of nurse"s evidence-based practice competency was controlled by their informatics knowledge.

A significant relationship was observed between informatics skills and evidence-based practice (p=0.001, r=0.57). Also, B=0.63 for the regression slope indicated that with an increase of one unit in informatics skills, evidence-based practice increased by 0.63 units on average, with the peak being at β=0.57. Regarding the coefficient of determination R2=32.8% of the changes in evidence-based practice were depicted by informatics skills.

A direct and significant relationship was observed between job satisfaction of nurses and evidence-based practice (p=0.045, r=0.14). Also, B=0.06 for the regression slope showed that with an increase of one unit in job satisfaction of nurses, evidence-based practice increased by 0.06 units on average, with the peak being at β=0.10. R2 was 1.2 percent, indicating that 1.2 percent of the variance of nurse"s evidence-based practice competency was determined by their job satisfaction.

A weak and significant correlation was observed between self-efficacy and evidence-based practice (p=0.002, r=0.25). Also, B=0.07 for the regression slope showed that with an increase of one unit in self-efficacy, evidence-based practice increased by 0.07 units on average, with the peak being at β=0.17. With regard to the coefficient of determination R2=3.2% of the changes in evidence-based practice were depicted by self-efficacy. Also, there was no significant relationship between the variable of age and evidence-based practice, while there was a direct and significant relationship between level of education and evidence-based practice (p=0.04, r=0.14). In addition, there is no significant relationship between evidence-based practice and the duration of time that hospital information systems were used (Table 2 and 3).
Discussion
Regarding the relationship between informatics skills, informatics knowledge, computer skills, and nurse"s evidence-based practice competency, the research findings indicated that there is a direct and positive relationship between nurse"s health informatics literacy and their evidence-based practice ability. In her doctoral study, Fehr (2014) showed that there is a relationship between informatics capabilities (informatics skills, informatics knowledge, computer skills) and evidence-based practice. Therefore, her results are consistent with the results of our study.

Concerning the relationship between demographic variables and nurses" evidence-based practice competency, the results of this study show that self-efficacy, job satisfaction and age did not have a significant relationship with the evidence-based practice of nurses. Meanwhile, in Fehr"s (2014) study, job experience, position and work shift did not have a considerable effect on evidence-based practice. In our study, a weak and significant correlation was observed between self-efficacy and evidence-based practice. In her study, Fehr also showed a weak and significant correlation between evidence-based practice and self-efficacy, indicating consistency with our study.

In our study, computer skills included ICDL, Internet resources search skills, skills in using storage devices such as flash memory, memory cards, and USB, ability in using the network and operating system, activating the printer and installing available software and so on, informatics skills including awareness of resources and scientific information in the realm of nursing, converting information needs to research questions, knowledge of how to retrieve evidence, ability to consciously analyze evidence based on a set of standards and informatics knowledge including cooperation in the selection, design, implementation and evaluation process of hospital systems, as a specialized nurse, playing the role of supporter for managers in order to promote novelty and informatics concepts of nursing in the specialized realm are among the effective and determining variables in the evidence-based practice of nurses.

In a study by Eizenberg (2011), the predictive variables of evidence-based practice included teaching, being skilled in finding various research sources, searching and studying technical literature, knowledge sources based on colleagues and systematic methods (inhibiting variables), and knowledge sources based on experience or intuition. In another study, Habibi et al., (2010) claimed that in evidence-based practice nurses face problems and their biggest problems are finding the best evidence, identifying accurate resources, using optimum search methods, and critical evaluation of evidence or generally speaking, problems in using information literacy skills. This indicated that information literacy skills are the best predictors for evidence-based practice. In another study, Moghadam et al., (2016) predicted successful evidence-based healthcare by evaluating the amount of information literacy (understanding information needs, finding information, evaluating information, organizing information, exchange and distribution of information) of faculty members and doctorate students. The findings of these studies are also consistent with our research.

In another study, Elsayed et al., (2017) showed the positive and significant correlation between informatics skills of nursing students and their attitude toward evidence-based practice in nursing. In their research findings, Shifaza et al., (2014) proposed a means for facilitating and implementing evidence-based practice as knowledge in nursing through the provision of educational opportunities, access to resources, access to scientific texts, group work, awareness and creating a research culture, support, motivation, time to discuss ideas with colleagues, protocols, research papers, and discussion of research articles. The findings of this research were also consistent with our findings to some extent.
Conclusion
Evidence-based nursing care is a creative, innovative and skillful method that has an important role in enhancing the quality of clinical practice of nurses. With regard to the results of this and other research studies, which show a positive relationship between health informatics literacy and nurses" evidence-based practice, it can be concluded that informatics and computer skills are the fundamental components and underlying framework that support and reinforce evidence-based practice in nursing. Thus, enhancing nurse"s health informatics literacy is considered to be a determinant factor in improving evidence-based practice in nursing. Therefore, health informatics literacy should be considered as a critical part of the education of nurses.
Limitations
Self-reported use of evidence-based practice (EBP) by nurses, instead of measuring its actual use, self-selection biases of the items of the questionnaire, and limiting the setting to nurses working at Tabriz University of Medical Sciences" hospitals are the main limitations that should be considered in future studies.

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Investigating the impact of health informatics literacy on the evidence-based practice of nursing

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Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.

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Nursing informatics provides the ability to integrate technology, patient care, and caregiver and provider engagement (Iuppa, 2023). Successful nursing informatics practice is developing clinical outcomes by means of digital solutions (Iuppa, 2023). In order to achieve harmony in digital solutions and healthcare delivery nursing informaticists are essential (Iuppa, 2023).

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Four Application Examples Used in Nursing Informatics Today

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Four Application Examples Used in Nursing Informatics Today

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Healthcare advancements in the 21st century have brought radical technological shifts that have reshaped clinical care. Within these changes, nursing informatics has become increasingly vital to the healthcare industry.

Nursing informatics is a discipline that combines nursing, computer science, and information technology. Nursing informaticists use technology and data management systems to optimize the delivery of healthcare services while supporting nurses in their daily clinical practice.

This guide highlights four common nursing informatics examples and their applications in various healthcare settings. From electronic health records and telemedicine to clinical decision support systems and wearable technologies, these modern healthcare tools can optimize care, refine workflows, and improve patient outcomes.

Continue reading to learn more about nursing informatics and how these tools are valuable to both nurses and their patients.

Nursing informatics uses information and technology to support and enhance safe, effective, and quality nursing care.

In healthcare's rapidly evolving landscape, integrating technology has become essential for optimizing patient care while enhancing clinical outcomes. Informatics plays a crucial part in harnessing the power of technology to improve the delivery of healthcare services.

The field accomplishes this goal by leveraging highly trained healthcare professionals. Informaticists attend advanced degree nursing informatics programs to gain specialized nursing, information science, and computer science skills. They may also earn nursing informatics certifications to confirm their abilities and increase their chances of landing better jobs.

Here are four examples of how informatics and technology in nursing are revolutionizing healthcare worldwide.

1. Electronic Health Records (EHRs)

Electronic health records (EHRs), or electronic medical records (EMRs), are digital versions of a patient's medical history. EHRs can include treatment plans, laboratory results, medication information, allergies, and other relevant health information.

EHR Applications in Nursing Informatics

EHRs help streamline care by providing comprehensive and accessible patient health records that providers can share securely. They're also a critical guardrail for concerns like medication safety.

Using EHRs, informatics nurses ensure accurate medication administration to the right patient, at the right time, and in the right dose.

EHR Benefits

Implementing EHRs in nursing practice has multiple benefits that improve patient care and nursing outcomes. These are some of the key benefits:
Enhanced Data Access
EHRs provide healthcare teams with instant access to comprehensive patient information and can result in better-informed clinical decisions.

Nurses can review a patient's medical history, allergies, medication lists, and diagnostic results. Improving the accessibility of patient information can promote patient safety while mitigating the risk of medical errors.
Communication
EHRs help facilitate effective communication and collaboration between healthcare providers. Nurses and other healthcare professionals can electronically share patient information, care plans, and clinical notes.

EHRs can promote care coordination by enhancing communication while ensuring continuity across various healthcare settings and disciplines.
Documentation
EHRs help streamline the documentation process while saving time on manually writing patient information.

Nurses can electronically document assessments, interventions, and outcomes-this can help ensure accuracy while removing any concerns about legibility. Because EHRs can help nurses save time on documentation, they can focus more on direct patient care.

2. Clinical Decision Support Systems (CDSS)

A clinical decision support system (CDSS) is another example of informatics in nursing that improves patient care. CDSSs are software tools providing healthcare workers with evidence-based information and patient-specific data to assist with clinical decision-making.

CDSS Applications in Nursing Informatics

A CDSS analyzes patient information and delivers alerts, reminders, guidelines, and recommendations to improve patient outcomes.

CDSSs assess vital signs, laboratory results, and clinical observations to identify life-threatening risks and deliver real-time alerts to healthcare professionals.

CDSS Benefits

Like other informatics tools, CDSSs offers multiple benefits that support nursing practice while improving patient care. Some key CDSS benefits are:
Evidence-Based Decision-Making
CDSSs supply healthcare professionals with easy access to evidence-based guidelines, protocols, and best practices. They help nurses make informed decisions by incorporating cutting-edge research and clinical knowledge into their practice, promoting high-quality care.
Medication Safety
CDSS technology can generate alerts and reminders for medication safety based on patient-specific data. These alerts include drug interactions, medication allergies and sensitivities, and dosage adjustments. With safeguards like this in place, CDSSs help minimize the risk of medication errors while promoting the safe administration of medicine.
Care Planning
CDSSs can support nurses in managing chronic conditions and creating individualized care plans. This software can guide disease-specific assessments while enhancing care coordination.
Clinical Guidelines
CDSSs can also help nurses to adhere to clinical guidelines and care pathways. This technology can provide prompts for screenings, preventative care, and patient follow-ups, offering comprehensive guidance and evidence-based care.

3. Telehealth and Telemedicine

Telehealth and telemedicine are nursing informatics examples that use various digital technologies to deliver healthcare services remotely.

Telehealth encompasses several services, including remote monitoring, patient education, and virtual consultations.

On the other hand, telemedicine focuses on clinical diagnosis and treatment. This type of virtual care can expand healthcare access to homebound individuals and those in remote and underserved areas.

Telehealth and Telemedicine Technology Applications

Telehealth technologies and tools encompass various services, including video conferencing platforms like Zoom and others made specifically for the healthcare industry. These services provide secure and real-time video consultations between healthcare providers and patients.

These mobile applications also facilitate virtual visits, follow-up appointments, and team meetings. Additionally, they provide patients with access to educational resources, medication reminders, symptom-tracking tools, and secure messaging with healthcare professionals.

Telehealth & Telemedicine Benefits

While telehealth has been used for years, the number of visits skyrocketed during the early days of the COVID-19 pandemic. The benefits of virtual healthcare became clear, and they include:
Improved Access to Care
Telehealth eliminates geographic barriers and enhances access to healthcare services, especially for patients in remote areas or those with limited mobility. It allows nurses to reach patients in their homes and reduce healthcare disparities.
Continuity of Care
Telehealth enables continuous monitoring and follow-up care. Nurses can remotely assess patients, provide education, review medications, and monitor progress. This continuity ensures ongoing support and prevents hospital readmissions.
Efficiency
Virtual care optimizes resources by reducing unnecessary hospital visits and emergency room admissions. Additionally, it helps manage healthcare capacity, decreases waiting times, and allows nurses to focus on high-priority cases.

4. Wearable Technology and Remote Patient Monitoring

Wearable technologies and remote patient monitoring use devices and sensors that collect and transmit patients' health data. As patients wear these devices, the tech sends data to their provider for remote monitoring and analysis.

These technologies enable continuous tracking of vital signs, activity levels, and other health-related information.

Wearable Technology Applications in Nursing Informatics

Wearable technology has various applications in nursing practice. For example, wearable health trackers can monitor and transmit vital signs, heart rate, blood pressure, respiratory rate, and oxygen saturation.

Additionally, glucose monitoring systems enable patients with diabetes to monitor glucose levels. Other chronic conditions that benefit from wearable tech include cardiovascular issues and COPD.

Wearable Technology Benefits

Here are some of the benefits of wearable technology:
Timely Interventions
Continuous monitoring allows nurses to detect early warning signs or change in a patient's health. They can prevent complications and improve patient outcomes by:

Intervening promptly

Providing guidance

Adjusting treatment plans

Arranging for appropriate medical attention

Patient Self-Management
Wearable tech can empower patients to actively participate in their own healthcare. Patients can track their health metrics, receive feedback, and make informed lifestyle choices. Nurses can provide education and support to enhance patient engagement and self-management.
Reduced Hospital Visits
Wearable technologies and remote patient monitoring can reduce the need for frequent hospital visits, especially for patients with chronic conditions.

Healthcare workers can monitor patient health data remotely, reducing strain on healthcare facilities, optimizing resources, and improving patient convenience.

These nursing informatics examples demonstrate how informatics modernizes healthcare delivery while improving patient outcomes. However, the technologies we discussed here are just the beginning. The future of nursing informatics holds exciting possibilities that will continue to transform the medical field.

Advancements in technology, data analytics, and artificial intelligence will further enhance the role of nursing informatics in healthcare. Furthermore, predictive analytics and machine learning will enable healthcare workers to identify high-risk patients, personalize care plans, and optimize interventions.

As a result, the need for health informatics experts will continue to grow. Nursing informaticists will be there to bridge the gap between clinical practice and implementing new technology. This growth potential and nursing informatics salary prospects make informatics an excellent choice for nurses wishing to advance their careers.

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4 Nursing Informatics Examples & Applications

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Guide to nursing informatics examples and how nurse informaticists use technology for varied healthcare applications.

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Explain the relationship between quality of data and information and competencies expected of the professional nurse as identified by the Quality and Safety Education for Nurses (QSEN) project.

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Explain the relationship between quality of data and information and competencies expected of the professional nurse as identified by the Quality and Safety Education for Nurses (QSEN) project.

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The QSEN project has six competencies. One of those six is informatics. The focus of the informatics competency is the utilization of healthcare information technology to facilitate safety and quality (Cengiz & Yoder, 2020).

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Describe the significance of quality of data and information for clinical practice, patient outcomes, and the body of nursing knowledge

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Describe the significance of quality of data and information for clinical practice, patient outcomes, and the body of nursing knowledge

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The significance of quality of data and information is crucial to appropriate clinical practice, diagnoses, and outcomes. In clinical practice, nurses and healthcare professionals rely heavily on quality data to ensure treatment plans, interventions, assessments, and continuity of care are based on a solid foundation. Mistakes or omissions in data can jeopardize patient safety by contributing to incorrect and improper clinical decision making, and breaches in quality of data can contribute to errors in patient care, such as medication dosing (Mashoufi et al., 2022

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Identify the attributes for quality data information.

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Identify the attributes for quality data information.

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Data quality includes six primary dimensions, including accuracy, completeness, consistency, conformity, integrity, and contemporaneity. Accuracy attributes to data being correctly represented and true in value to the intended object. Completeness relates to all the values for which all attributes are expected. Consistency is the degree to which data have no conflicts or match with other data. Conformity is the degree to which data conforms to a set of standards and regulations. Integrity is the degree to which the data is free of errors in itself. And contemporaneity reflects how current data are in their context of use. Quality data in patient care needs to meet all of these dimensions to contribute to nursing interventions, protocols, and standards of care that drive research and best practices. Reliable data is a foundation not which healthcare decisions are made and patient safety ensured (Kaloyanova et al., 2021; Makeleni & Cilliers, 2021).

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How improved data quality can lead to improved quality of care

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The Importance Of Data Quality in health and social care

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Discuss the relationship between quality of data and information and outcomes expected of graduates of MSN nursing programs as identified by the American Association of College of Nursing.

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Discuss the relationship between quality of data and information and outcomes expected of graduates of MSN nursing programs as identified by the American Association of College of Nursing.

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Patient focused health information technology is a current commonality. Nurses must be well versed in the technologies that are offered to their patients. Patients will often look to their nurses for guidance, education, and empathy. The American Association of College of Nursing has ten essential domains, competencies, and subcompetencies for nursing (American Association of Colleges of Nursing [AACN], 2021). Domain eight addresses Informatics and Healthcare technologies (AACN, 2021). Graduates of Master of Science in Nursing programs must adhere to these guidelines. Encompassing evidence base practice, mitigating risk, awareness of financial impacts, and workflow processes (AACN, 2021). Additionally, utilization of data, and communication tools to support care. Furthermore, use of health information technology to provider safe care while mitigating security risks (AACN, 2021). Evaluation of the impact on healthcare team members and patients should be assessed (AACN, 2021). Lastly ethical, legal, and professional criterion should be accounted for (AACN, 2021). These specifications provide the advanced practice nurse tools in which to provider care based on best practice.

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Institute for Healthcare Improvement - IHI

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Poor quality data leads to poor misguided decisions and ineffective utilization of resources (Getachew et al., 2022).

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Quality Improvement Essentials Toolkit | IHI - Institute for Healthcare Improvement

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Download these ten essential quality improvement tools to help you with your improvement projects, continuous improvement, and quality management, whether you use the Model for Improvement, Lean, or Six Sigma.

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https://www.aacnnursing.org/essentials

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Essentials Discussion Corner

AACN invites member deans and faculty to share details about their school's Essentials implementation efforts, ask questions, and share practices that may help inform decision-making and next steps.

To help facilitate discussions, AACN has created a dedicated discussion area to foster conversations about the Essentials. The forum can be used to share details about your school's Essentials implementation efforts, ask questions, and share practices that may help inform decision-making and next steps. Members are encouraged to lead and participate in discussions.
Join the Discussion

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AACN invites member deans and faculty to share details about their school's Essentials implementation efforts, ask questions, and share practices that may help inform decision-making and next steps. To help facilitate discussions, AACN has created a dedicated discussion area to foster conversations about the Essentials.

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Discuss the significance of big data and analytics.

Explain epistemology, science, and the generation of new knowledge.

Describe attributes of quality data and information.