Leading week 4 discusion replies
Respond to the four colleagues and Expand upon your colleague’s posting or offer an alternative perspective. Include 2 references each!!
Angela:
Key Principles and Best Practices for Leveraging Frameworks in Nursing Practice
Big data encompasses significant information that can be utilized to drive evidence-based practice (Orthop, 2020). For example, big data is becoming increasingly advanced and helpful in analyzing information (Orthop, 2020). Big data minimizes confusion and organizes information that can be easier to interpret, such as in value-based healthcare. For example, researchers use big data to compare broad scopes of information to improve health outcomes amongst the varying population groups (Orthop, 2020). Some correlations could surface that might not have occurred to a researcher with only minimal data (Orthop, 2020). Lastly, the importance and application of implementation science, change theory, and systems, coupled with theories and how they provide a framework to guide projects will be discussed (Orthop, 2020).
Informatic Frameworks Applicable to Healthcare Organizations and Nursing
Analytical models allow clinicians to make effective decisions (Ellis, 2023). Analytical models pave the way for theoretical frameworks in nursing informatics (Ellis, 2023). For example, decision-making models are used to assist individuals and focus groups in organizing and providing feedback before making decisions (Ellis, 2023). Applying Lewin’s change theory is essential as it is a framework to guide DNP quality improvement initiatives (Ellis, 2023). Lewin’s change theory was developed by Kurt Lewin in 1940 (Ellis, 2023).
Lewin’s change theory encompasses three stages of organizational behavior: unfreezing, changing, and refreezing (Ellis, 2023). Lewin’s change theory is instrumental in identifying problems such as practice gap concerns (Ellis, 2023). Stakeholders can also utilize brainstorming approaches and potentiate possible options throughout the planning and decision-making process (Ellis, 2023). Cost and benefit options are necessary to ensure that the quality improvement team works within the budget’s confinements (Ellis, 2023). Constrained budgets with minimal room for adjustment can also affect decision-making (Ellis, 2023). Lewin’s change theory allows stakeholders to buy in and implement effective changes in daily clinical practices (Ellis, 2023).
Research and Potential for Great Social Impact
The COVID-19 pandemic big data was used to identify vulnerable population groups and their effects on the healthcare economy (Galetsi et al., 2022). For example, big data was used to manage the spread of the COVID-19 virus pandemic (Galetsi et al., 2022). Big data enables large amounts of data to be processed over short periods (Galetsi et al., 2022). Barriers to managing big data are challenged by ethical and privacy concerns (Galetsi et al., 2022). Big data requires clinical skills and understanding the importance of collecting and analyzing data using health information technology (Galetsi et al., 2022). Big data analytics tools are integral in making decisions and measuring quality of safety (Galetsi et al., 2022).
Theories and Models Influence on Guiding Projects.
Theories and models provide a framework to guide projects by instilling an organized structure. In the case of the writer’s DNP project on staff education, Lewin’s Change Theory provides a three-stage outline of implementation (Eder & Dignath, 2022). The three stages of unfreezing, changing, and refreezing facilitate slowly dissolving the existing behavior, introducing the new behavior, and cementing the new behavior (Eder & Dignath, 2022). Lewin’s theory is based on driving and resisting forces, with the change resulting from a more vital driving force. (Eder & Dignath, 2022).
Transtheoretical Model of Change
Prochaska and DiClemente developed the Transtheoretical Model of Change (TTM) in the late 1970s (Hunter, 2024; Prochaska & Velicer, 1997). TTM allows individuals to progress through six stages of change: pre-contemplation, contemplation, preparation, action, maintenance, and termination (Hunter, 2024; Prochaska & Velicer, 1997). For example, in a smoking cessation program, the TTM can help identify individuals’ readiness to quit smoking and tailor interventions accordingly (Hunter, 2024). By understanding the stages of change, healthcare professionals can develop targeted strategies to support individuals’ journeys toward healthier lifestyles (Hunter, 2024).
Application in Research and Projects
Theories and models, such as the Transtheoretical Model of Change and Social Network Analysis, provide a framework to guide projects, including DNP Projects or dissertations (Purnell et al., 2023). They help researchers and practitioners understand the context, identify barriers, and develop targeted strategies to facilitate change and improve outcomes (Purnell et al., 2023). The DNP Project focused on improving access to mental healthcare will improve clinical guidelines for practice gap concerns (Purnell et al., 2023). Clinical guidelines for evidence-based practice change are contingent on implementing collaborative practice and the Transtheoretical change model (Purnell et al., 2023). Additional theories that can be applied in research are Lippitt’s phases of change theory change, developing a relationship between system and change agent, defining the problem, implementation, stabilization, and redefining the change agent system relationship (Purnell et al., 2023). Kotter’s model focuses on the urgency for change, forming a team, vision, and stakeholders, removing barriers, and stabilizing change (Purnell et al., 2023).
Beatrice:
In today’s rapidly evolving healthcare landscape, the intersection of research, Big Data, and organizational change theories like Lewin’s Change Theory, systems thinking, and implementation science are crucial for effective nursing practice and healthcare management (Favaretto et al., 2020). Analyzing informatics frameworks and models can provide valuable insights into improving patient care, optimizing organizational processes, and driving positive outcomes.
Frameworks and Models
Firstly, considering the issues related to research and Big Data, it is evident that healthcare organizations are increasingly relying on data-driven insights to inform decision-making and enhance patient outcomes (Favaretto et al., 2020). Big Data offers vast opportunities to analyze large datasets, identify trends, and personalize patient care. However, challenges such as data security, interoperability, and ensuring data integrity remain pertinent. Leveraging informatics frameworks like the Health Information Exchange and the Continuity of Care Document can facilitate seamless data sharing across healthcare systems, ensuring continuity of care and promoting client safety. Big Data promises to revolutionize knowledge production within and beyond science by enabling novel, highly efficient ways to plan, conduct, disseminate, and assess research (Favaretto et al., 2020).
Secondly, Lewin’s Change Theory, systems thinking, and implementation science are invaluable resources for healthcare organizations and nursing practice. Lewin’s model emphasizes the importance of unfreezing existing behaviors, implementing change, and refreezing new behaviors to ensure sustainability (Wensing & Grol, 2019). This theory provides a structured approach to managing change within healthcare organizations, promoting a culture of innovation and continuous improvement. On the other hand, systems thinking encourages healthcare professionals to view healthcare organizations as interconnected systems, where changes in one area can impact the entire system. Implementation science offers evidence-based strategies for translating research findings into clinical practice, optimizing the adoption of new interventions, and improving patient outcomes (Wensing & Grol, 2019).
Telehealth and telemedicine models also have significant implications for informatics in nursing. These models leverage technology to provide patients with remote healthcare services, consultations, monitoring, and education. In nursing informatics, telehealth and telemedicine models impact various aspects of nursing practice and healthcare delivery (Velayati et al., 2022).
Health Information Systems Integration
Telehealth and telemedicine platforms often require integration with existing health information systems, such as electronic health records and clinical decision support systems. Nursing informatics professionals are crucial in ensuring seamless integration and interoperability between these systems to facilitate efficient data exchange and continuity of care (Velayati et al., 2022).
Teleconsultation and Collaboration
Telehealth and telemedicine models enable remote consultations and collaborations between healthcare providers, including nurses, physicians, specialists, and other interdisciplinary team members. Nursing informatics facilitates teleconsultation platforms, virtual care coordination tools, and secure messaging systems that support seamless communication and collaboration among healthcare clinicians, regardless of geographical location (Velayati et al., 2022). Moreover, these platforms necessitate addressing ethical and legal considerations associated with telehealth and telemedicine, such as privacy, security, informed consent, licensure, and liability. Informatics professionals ensure compliance with regulatory requirements, standards, and guidelines related to telehealth practice, data protection, and telecommunication technologies to safeguard patient confidentiality and mitigate legal risks.
Application in Outpatient Psychiatric Clinics
My practice integrates these models and frameworks into the workflow of outpatient psychiatric clinics. Leveraging frameworks such as Health Information Exchange and Continuity of Care Document can enhance data sharing and ensure continuity of care for psychiatric patients receiving treatment in outpatient settings. Additionally, implementing strategies from Lewin’s Change Theory, systems thinking, and implementation science can promote innovation, improve patient outcomes, and foster a culture of continuous improvement within psychiatric nursing practice. Telehealth and telemedicine models further expand access to care and facilitate remote consultations and collaborations, which are particularly valuable in psychiatric care where multidisciplinary team communication is essential. By addressing ethical and legal considerations associated with telehealth and telemedicine, nursing informatics professionals can safeguard patient confidentiality and mitigate legal risks, ultimately enhancing the quality of care provided in outpatient psychiatric clinics.
Conclusion
Informatics frameworks and models are pivotal in guiding healthcare organizations and nursing practice towards delivering high-quality, patient-centered care. Nurses can navigate complex healthcare environments effectively, drive meaningful change, and improve client outcomes by leveraging principles and best practices from theories like Lewin’s Change Theory, systems thinking, implementation science, and Telehealth/telemedicine models.
Precious:
Introduction
Nevertheless, modern healthcare is marked by a significant increase in big data, creating a conducive setting for nurse researchers to extract valuable insights. While the sheer volume of data appears attractive, some hidden problems must be solved responsibly. This section looks closely at the dilemmas of big data in research and the impact of implementing it in nursing practice. With Lewin’s Change Theory, systems thinking, and implementation science as tools, together with exploring other theories, this discourse would highlight the significance of these frameworks when venturing through the healthcare landscape, which constantly changes.
Understanding Big Data in Healthcare Research
Big Data includes vast amounts of information collected from different sources, such as electronic health records, wearable devices, and social media platforms. The realization of this immense undertaking would open doors to the prospect of scientific discoveries and other obstacles. On the other hand, Big Data provides for a widespread and complex analysis of data, which can identify patterns and trends in a manner that most traditional research methods could not detect. However, the more difficult task of processing, analyzing, and making sense of large amounts of data creates obstacles that take time to overcome.
Implications for Implementation:
Using big data technologies in research highlights the viewpoints that must be employed in evidence-based practice and healthcare improvement. However, specific barriers impede the translation of the research data into clinical action. Implementation gaps may happen for multiple reasons, such as organizational resistance, poor resources, and the parties’ incompatible interests (Thompson, 2019). However, the quantity and speed of data can frighten healthcare workers and contribute to ineffective decision-making and action.
Lewin’s Change Theory and Systems Thinking
The Change Theory by Lewin will open new doors of knowledge on the interpretation and operation of organizational change. By highlighting the significance of changing current behaviors, introducing change, and creating new behaviors, this theory prepares nurse leaders to translate research outcomes into practice dynamically. The machine-like model of change with Lewin is balanced with systems thinking, on the other hand, by considering healthcare organizations as interdependent systems (Jonna, 2019). In addition to the systems’ dependencies, the other essential point for further implementation challenges is to acknowledge the interdependencies of these systems. However, sustainable transformations would be the result of such efforts.
Implementation Science
Implementation science develops a logical movement from research to implementation by employing rigorous procedures. Combining the ideas from different academic treatments, including psychology, sociology, and organizational behavior, is believed to improve the advice efficacy rate (Sipes, 2020). The essential components of implementation science involve recognizing barriers and facilitators, designing interventions to fit the context, and implementing an implementation framework as the guide.
Additional Theories and Models
The Consolidated Framework for Implementation Research (CFIR) delivers an entire array of influential and multilevel factors when considering an approach for enhancing implementation success. By focusing on domains, including intervention features, contextual inner and outer settings, intervention actors, and the implementation itself, CFIR provides a clear picture of how different factors perfectly mix to make the outcomes of the said process happen.
The Socio-Technical Systems (STS) Theory presents the view that the social aspect, separately from the engineering aspect, is not valid within organizations (Wensing & Grol, 2019). STS theory highlights that successful implementation mainly depends on technological innovations and the human factor within these processes; STS theory emphasizes the importance of aligning technical solutions with social dynamics and organizational culture.
Discussion
Informatics frameworks and models provide the necessary structure for healthcare organizations to optimize their use of technology and thoughtfully analyze data to make well-informed decisions. Various important models and models relate to this case, each with principles and practices that can contribute to practice.
The Nursing Informatics Competency Assessment (NICA) model is a widely used informatics framework utilized by healthcare organizations and during nursing practice. This model defines the knowledge reflecting the aptitude of the nurse, which they should apply in informatics practice. Some significant aspects of NICA include competency in information management, technology competency, and informatics integration in nursing care. Nurses can utilize this theory by evaluating their competencies through assessments to discover the areas for skill enhancement and training (American Nurses Association 2015). They can further improve their nursing care. Nurses can optimize workflows through information technology skills. This can be done in patient information documentation, communication, and decision-making. Thus, the quality of care can be improved.
One more key informatics framework is the Health Information Technology Adoption Model (HITAM), which is about the stages of technology adoption within medical care organizations. This model highlights that organizational readiness and leadership commitment are the key factors to successfully introducing technologies. Nurses have a meaningful role in encouraging the development of more HITAM in their facilities, which should enable the circumventing of complex technologies and focus on excellent patient safety (American Nurses Association 2015). Through active involvement in the introduction process and analyzing how nursing staff find technology implementation timely and helpful in their practice, nurses can ensure the new technology meets their therapeutic needs and improves their work rather than complicates it.
The Technology Acceptance Model (TAM) emphasizes the factors contributing to technology acceptance. The adaptability of technological innovation is directly influenced by the two determinants, perceived ease of use and perceived usefulness, as per the TAM. Such an approach allows nurses to take a front seat to ‘being creative,’ they can drive the changes by partaking in user-centered design processes and advising for technologies that are easy to use, intuitive, and complementary to their clinical workflow. User involvement in selecting and customizing technology systems within healthcare organizations can enhance the suitability and implementation of such systems.
The Information Systems Continuum (ISC) model, in turn, is a tool for evaluating the level of information systems of medical organizations. This framework defines the phases through which the information systems progress, starting from basic automation and moving to advanced integration and data analysis technology. Nurses can advance the practice by strongly advocating for investment in information systems that facilitate smooth data exchange, interoperability, and real-time analytics. Using innovative data systems in nursing, nurses can take hold of current and accurate data, guide clinical decision-making, follow up on patient outcomes, and improve quality initiatives.
Informatics frameworks and models are helpful for health organizations and nursing practices that attempt to use technology and data for higher-quality care delivery. Nurses can use guidelines such as competency assessment, technology adaptation, user acceptance, and information system maturity to deliver quality patient care and improve healthcare informatics. The nurses can exploit the power of informatics through continuous learning, togetherness, and advocacy. This leads to the improvement of patients and the transformation of healthcare delivery.
Conclusion
Incorporating Big Data into healthcare research holds enormous potential for practice in nursing implementation. The availability of vast data attracts applications in evidence-based policy and quality management. However, gathering, analyzing, and applying the data and their interpretations in practice is complex. Using Lewin’s Change Theory, systems thinking, and implementation science, along with CFIR and STS theories, among others, nurse leaders can successfully remove the gap between research and practice, resulting in better patient outcomes and advancement of the nursing field.
Bambi:
Transforming Nursing and Healthcare through Technology
The critical review of the available informatics frameworks and models applicable to healthcare organizations and nursing practice reveals various findings. First to the list is the Health Information Technology Evaluation Collaborative (HITEC) model, which offers a comprehensive review approach against whatever is delivered within the Health Information Technologies (HIT) evaluation. HITEC underscores that the assessment of the HIT solution is built around areas that the impact lies in, such as patient safety, quality of care, and efficiency within the healthcare environment (Esdar, 2022). This framework has emphasized itself as a clear, transparent way nursing practitioners will use in the assessment of HIT solutions in a bid to ensure that adopted technologies closely relate to revealed objectives of improving welfare and operational efficiency. Therefore, the new HITEC framework has empowered nurses to make decisions about informed HIT adoption, implementation, and strategies for its optimization.
The Technology Acceptance Model (TAM) was combined with the HITEC framework to shed some light on adopting health professional technology. The latter implied that two things are important in molding a person’s attitude toward technology adoption: perceived usefulness and ease of use. The TAM provides a structured framework to consider the feasibility of an acceptance solution by nursing practitioners towards informatics to appreciate whether new technologies represent models of work processes and objectives in the care of such patients (Jacob, Sanchez-Vazquez, & Ivory, 2020). It will offer the nursing profession and the individual nurse an opportunity to spot any resistance challenges, reassure the users, and instigate effective implementation strategies so that these can be heightened for integrating informatics solutions in nursing practice.
Another view on the Nursing Informatics Competency Assessment (NICA) model is that it provides a systematic way to diagnose and refine nursing informatics competencies (Jacob, Sanchez-Vazquez, & Ivory, 2020). That is meant to define the skills in life and knowledge in areas that would help transfer the nurse to effectively use informatics tools in practice, among them data management and the use of information, and inspire technology adoption. The application of the NICA framework would help a nurse to become adequately competent in the proper use of technology toward different aspects of delivery, documentation, and communication with patients, and all these technological uses would regularly be kept updated with the use. This would also ensure that effective informatics practices in nursing fit could be available and ready to apply in the ever-changing healthcare environment.
Indeed, user-based design principles can find embodiment in the fullest measure for the whole nursing profession in the embracement of the Frameworks of Informatics when the decisions have to be made concerning the selection and designing of the Informatics solutions that they have to work with. Indeed, when these technologies selected and evaluated in clinical settings operate parallel to specific needs and work-process preferences by the clinical team members, for instance, if the nurses and other healthcare team members are well-engaged, then this happens because the same end-users have been involved to a greater extent in the planning and the evaluation steps (Ackerhans et al., 2024). Such an approach guarantees far higher levels of acceptance and buy-in by the users that drive the successful adoption of an informatics solution and its culmination for use within nursing practice. Further, using frameworks like HITEC enables nursing professionals to assess and monitor the informatics initiative toward how technology has affected patient safety, quality of care, and operating efficiency.
In conclusion, practice can be guided, and a way of thinking can be structured toward the complex resources represented in healthcare technologies by applying informatics frameworks and models. From that perspective, only nursing professionals will be best placed to achieve this improvement by applying the principles and best practices outlined in the frameworks. Most importantly, these informatics frameworks provide operational services for better care delivery to the patient, easy communication, and teamwork among healthcare teams about improved patient outcomes. With the incorporation of insights from informatics frameworks into nursing practice, nursing professionals will be at the command post in keeping themselves informed with the latest technological advances and correcting the culture of innovations, thus ensuring continuous technology improvement in caring for patients.
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