Assessment 3: Exploration of Regulations and Implications for Practice
Name
Capella University
Course Name
Professor’s Name
July 2024
Exploration of Regulations and Implications for Practice
Table of Contents
ToggleA very good example of how informatics projects can facilitate healthcare safety initiatives is through the systematic creation of a dynamic framework for improvement to continue. This paper will explore an important safety issue through an informatics project in an urban hospital setting. It will particularly consider medication errors and an advanced EHR system. The benefit of the project solution is seeking better outcomes for patients, and at the same time, making workflow easier for operating room nurses by improved comprehensive data analytics integration and real-time monitoring (Lahti et al., 2022). As such, stakeholders would include healthcare providers, patients, IT specialists, and regulatory bodies (Petkovic et al., 2020). One of the major goals of this initiative is the facilitation and support of high-quality, safe, ethical healthcare delivery, and compliance with good practice regulations. This assessment will identify project outcomes concerning the impact of safe practice, ethics, compliance with regulations, and standards of practice, framed within an applicable informatics model.
Safety Issue Involved
The safety issue to be tackled by this informatics project is reducing medication errors in the urban hospital’s operating room. Medication mistakes pose a significant risk to the safety of patients and lead to devastating adverse drug events that can cause a lot of harm or loss of life. Such medication errors in the high-pressure operating room could occur due to miscommunication, wrong dosages, or inappropriate medication administration. The risks will be reduced by using an advanced electronic health record system (EHR), which provides an accurate way of tracking medications and alerting in real-time for potential drug interactions, thus improving communication between providers (Vinks et al., 2020). To affect this major safety issue, the proposed project seeks to improve patients’ outcomes in medication administration reliability and a culture of safety within the hospital.
Informatics Model & Safe Practice
The project in informatics regarding medication errors to be addressed within an urban hospital’s operating room can effectively be analyzed by using the widely known model Data-Information-Knowledge-Wisdom (DIKW) in nursing informatics (McDowell, 2021). The DIKW model is where raw data is introduced and creates meaningful information. After that, meaningful information is further processed into actionable knowledge and finally, this model guides clinical decisions. This is a project with extensive data on medication administration that is to be captured, directly from the EHR system: dosage, timing, and patient factors. All of the collected data are then further processed into useful information, such as alerts on potential drug interactions and reminders for dose verification. Nurses and other healthcare professionals ensure the utilization of information in acquiring knowledge regarding best practices in medication administration to prevent the possibility of committing an error (Craig et al., 2020). Sometimes, as time passes and the use of the EHR system is sustained, growing experience fosters DIKW in using accumulated data to initiate added advanced protocols and policies for heightened patient safety and medication management.
Analyzed in the light of the DIKW framework, this practice example speaks to the important role that the impact of informatics has in transforming modern healthcare practices (McDowell, 2021). It can provide a much safer way of handling medications and has many other ethical benefits because patients know they are getting the right medication at the right time. It is through compliance with healthcare standards and guidelines that problems of a regulatory nature are addressed. Of special consideration is regard for the Joint Commission and the Food and Drug Administration (FDA) (Bhasale et al., 2020). The project will also align itself with the standards of practice in nursing, promoting a culture of safety and continuous improvement. The literature supports that the DIKW framework is effective in improving clinical outcomes since the creation of a calculated method for the management and use of healthcare data is enhanced (McDowell, 2021). This model will reduce medication errors within the informatics project and demands an organization precedent for similar safety projects, such as a more structured and informed approach to healthcare practice.
Intended Goals
The primary goals for the information project targeting medication errors in the OR are patient safety, workflow efficiency, and regulatory compliance. This solidifies to reduction of medication errors by putting in place a state-of-the-art, EHR with real-time alertness and decision-support utilities for providers (Van et al., 2020). It also aims to assist effective communication among the surgical team members by reducing miscommunication, which may lead to medication errors. Accomplishment of these goals is bound to result in better patient outcomes, allowing general improved quality of care to be achieved and faster development of a safer hospital culture. The project also targets serving any applicable regulatory standard and guidelines, hence ensuring that the hospital stays updated with good healthcare regulations and best practices.
Outcomes
Advanced EHR implementation in the operating room greatly improved workflow efficiency and thus patient safety. The actual results of this initiative included a notable reduction in medication errors because of the key safeguards against wrong dosing and possible adverse drug events (ADEs) provided by real-time alerts and decision support instruments (Craig et al., 2020). Even the improved communication among the surgical team, facilitated by the EHR system, reduced the potential risk for miscommunication during drug administration, thereby leading to improved health outcomes characterized by reduced ADEs and associated complications (Tecklenborg et al., 2020). The project was performed under the regulations according to established standards and guidelines, thus upholding compliance with the best traditions and commitment of the hospital to quality patient care. The overall initiative effectively influenced the integration of deployment of the informatics solution in answering critical safety issues within the high-stakes healthcare environment.
Applying the Standards of Practice
The application of standards of practice in nursing informatics enables one to address gaps in medication safety within the operating room. Advanced EHR system implementation aligns with these standards since this functionality will help ensure accuracy in capturing data, real-time monitoring, and effective communication among healthcare providers. For example, the automated alert system in the EHR adheres to American Nurses Association standards (ANA) that emphasize the application of technology to enhance safety and blunt medical errors (Lee et al., 2020). The incorporation of these standards permits the project to reduce medication-related risks for their administration and facilitate evidence-based practices and continuous improvement. It is further supported by literature by Craig et al. (2020) that EHR systems decrease medication errors and improve care for patients. Application of standards of nursing informatics in this initiative ensures safe practice and commitment to complying with laws and regulations in any healthcare setting.
Impacts of Regulatory Constraints
The current regulatory restrictions in healthcare informatics can make the adoption of technology-driven initiatives to enhance patient outcomes and ensure safe and effective implementation difficult. The Health Information Portability and Accountability Act (HIPAA) and the Centers for Medicare & Medicaid Services (CMS) are the significant regulators who institute standards and guidelines for health information technology use within nursing practice and organizational activities (Wadhera et al., 2020). For example, HIPAA regulations require strict measures when it comes to the protection of the privacy and confidentiality of patients (Meyers, 2022). As a result, EHR systems are under strict measures in handling and transmitting sensitive medical information. Compliance with provisions under such laws is quite imperative to avoid legal blows, the trust between health officers and patients is at stake if the provisions are not obeyed.
The impacts of these regulatory constraints are measured within the context of applying safe practices. Essentially, this borders on how these rules may affect daily operations in healthcare. In this case, an informatics project aimed at reducing medication errors in the operating room, compliance with the resultant imperatives brought forth by these regulatory requirements sees patient data secure from people who would put it to the wrong use (Wadhera et al., 2020). At the same time, compliance with these laws upholds another ethical principle of beneficence and non-maleficence in a way that prevents unauthorized access to sensitive medical information and therefore maintains patients’ privacy. Again, regulatory standards promote standardized practices that can facilitate interoperability or exchange of data between different healthcare settings (Meyers, 2022). This could be done effectively by looking at the impacts of health information in a regulatory light, whereby the healthcare professional is empowered to make necessary integrations of informatics solutions while maintaining all relevant legal and ethical standards within daily practice.
Structure of Ethical & Legal Practices
Healthcare informatics must incorporate a combination of ethical and legal practices for its delivery, which would ensure integrity in the interest of patients’ welfare and compliance with the provisions of regulations. Decisions such as using technology to improve the outcome of care in the best instance, relate to the ethical dimensions of respecting patient autonomy and confidentiality (Afzal & Arshad, 2021). For example, some ethical practices that are included in the medication safety operating room informatics project were informed consent for the use of their data and secure information systems that ensure patient information is protected. Within these legal frameworks, such as HIPAA, is the basis for ensuring that patient data is handled securely to avoid risks and to promote trust between healthcare providers and patients. It is an assessment of the structure meant for ethical and legal practices in informatics: how best a healthcare organization implements policies that are geared toward these standards, with the professional literature supportive of the evidence.
Navigating the junction of ethical duties and legal requirements regarding healthcare informatics requires a strict approach to problems in information privacy, security, and ethics of patient care. Healthcare providers must strike a balance between using technology to improve the delivery of care and maintaining ethical practices while meeting regulatory requirements (Leslie et al., 2023). As an example, keeping patient records confidential through robust access controls and strong encryption procedures helps to meet statutory requirements and instills confidence in patients. It is through such ethical frameworks that the approach to emerging issues can be guided, for example, in telehealth ethics and artificial intelligence in healthcare. Computing structures for ethical and legal practices in informatics can be done through critical analysis and, therefore, strategies to enforce patients’ rights, ethical practices, and support of effective healthcare delivery can be made within healthcare organizations (Afzal & Arshad, 2021). The outcomes of care delivered to the patient are enhanced due to the culture of integrity and accountability in a healthcare setting with this approach.
Stakeholders
Any stakeholder in an informatics project for the betterment of safety initiatives within healthcare is instrumental to the overall effectiveness of implementation and sustainability (Talwar et al., 2023). These internal stakeholders often include healthcare providers: nurses, physicians, and administrators, all of whom will have direct interaction with the informatics system. Their engagement in a project is important for the complete and effective conveyance of data, information, and plans related to clinical decision-making and operational management. Externally, these may include regulatory bodies, technology vendors, or patients themselves whose matrixed contributions of insight need help from the results of the initiative (Ash et al., 2021). The effective communication of these stakeholders rooted in the scholarly literature becomes essential in the alignment of goals, concerns addressed, and informatics optimization to advance the safety and quality of health care for the patient. This collaborative approach enhances organizational efficiency and assures ethical, regulatory, and professional standards while promoting a culture of safe practice within healthcare settings.
NURS FPX 6410 Assessment 3 Exploration of Regulations and Implications for Practice Conclusion
This assessment enhances the need for informatics projects in safety initiatives and in coming up with new and better ways of healthcare delivery. The organizations using informatics will be able to trail outcomes, identify the best practices, and then adopt evidence-based policies that apply to situations where there is a risk to patient safety and quality care delivery. Case study on such projects shows the integration need for ethical issues, regulatory issues, professional guidelines, risk mitigation, and optimization of outcomes. In such a scenario, stakeholder engagement becomes very instrumental in effecting proper communication and collaboration between and across internal organizational teams, as well as external organizations or entities. Provided that further studies and innovations undertaken in nursing informatics continue to pay immense dividends in shaping future healthcare practices to be dynamic and responsive to the emerging needs of patients and regulatory requirements, this will be key in influencing best future practices. This holistic approach supports not only organizational efficiency but also a culture of continuous improvement, authored in data-driven decision-making and best practices in healthcare delivery.
NURS FPX 6410 Assessment 3 Exploration of Regulations and Implications for Practice References
Afzal, S., & Arshad, A. (2021). Ethical issues among healthcare workers using electronic medical records. Computer Methods and Programs in Biomedicine Update, 1(100030), 100030. https://doi.org/10.1016/j.cmpbup.2021.100030
Ash, G. I., Stults, M., Busa, M. A., Gaffey, A. E., Angeloudis, K., Muniz, B., Gregory, R., Huggins, R. A., Redeker, N. S., Weinzimer, S. A., Grieco, L. A., Lyden, K., Megally, E., Vogiatzis, I., Scher, L., Zhu, X., Baker, J. S., Brandt, C., Businelle, M. S., & Fucito, L. M. (2021). Establishing a global standard for wearable devices in sport and exercise medicine: Perspectives from academic and industry stakeholders. Sports Medicine, 51(11), 2237–2250. https://doi.org/10.1007/s40279-021-01543-5
Bhasale, A. L., Sarpatwari, A., De, M. L., Lexchin, J., Lopert, R., Bahri, P., & Mintzes, B. J. (2020). Postmarket safety communication for protection of public health: A comparison of regulatory policy in Australia, Canada, the European Union, and the United States. Clinical Pharmacology & Therapeutics, 109(6), 1424–1442. https://doi.org/10.1002/cpt.2010
Craig, S. J., Kastello, J. C., Cieslowski, B. J., & Rovnyak, V. (2020). Simulation strategies to increase nursing student clinical competence in safe medication administration practices. Nurse Education Today, 96(1), 104605. https://doi.org/10.1016/j.nedt.2020.104605
Lahti, C. L., Kivivuori, S. M., Lehtonen, L., & Schepel, L. (2022). Implementing a new electronic health record system in a university hospital: The effect on reported medication errors. Healthcare, 10(6), 1020. https://doi.org/10.3390/healthcare10061020
Lee, T. C., Shah, N. U., Haack, A., & Baxter, S. L. (2020). Clinical implementation of predictive models embedded within electronic health record systems. Informatics, 7(3), 25. https://doi.org/10.3390/informatics7030025
Leslie, K., Myles, S., Schiller, C. J., Alraja, A. A., Nelson, S., & Adams, T. L. (2023). Protecting the public interest while regulating health professionals providing virtual care. PLOS Digital Health, 2(4), e0000163–e0000163. https://doi.org/10.1371/journal.pdig.0000163
McDowell, K. (2021). Storytelling wisdom: Story, information, and DIKW. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24466
Meyers, D. L. (2022). HIT, informatics and ethics. Health Informatics, 435–451. https://doi.org/10.1007/978-3-031-07912-2_29
Petkovic, J., Riddle, A., Akl, E. A., Khabsa, J., Lytvyn, L., Atwere, P., Campbell, P., Chalkidou, K., Chang, S. M., Crowe, S., Dans, L., Jardali, F. E., Ghersi, D., Graham, I. D., Grant, S., Smith, R. G., Guise, J. M., Hazlewood, G., Jull, J., & Katikireddi, S. V. (2020). Protocol for the development of guidance for stakeholder engagement in health and healthcare guideline development and implementation. Systematic Reviews, 9(21), 1–11. https://doi.org/10.1186/s13643-020-1272-5
Talwar, S., Dhir, A., Islam, N., Kaur, P., & Almusharraf, A. (2023). Resistance of multiple stakeholders to e-health innovations: Integration of fundamental insights and guiding research paths. Journal of Business Research, 166, 114135. https://doi.org/10.1016/j.jbusres.2023.114135
Tecklenborg, S., Byrne, C., Cahir, C., Brown, L., & Bennett, K. (2020). Interventions to reduce adverse drug event-related outcomes in older adults. Drugs & Aging, 37(2), 91–98. https://doi.org/10.1007/s40266-019-00738-w
Van, B. A., Zheng, W. Y., Sundar, V., & Baysari, M. T. (2020). Optimizing clinical decision support alerts in electronic medical records. Journal of the American Medical Informatics Association, 28(1), 177–183. https://doi.org/10.1093/jamia/ocaa279
Vinks, A. A., Peck, R. W., Neely, M., & Mould, D. R. (2020). Development and implementation of electronic health record–integrated model‐informed clinical decision support tools for the precision dosing of drugs. Clinical Pharmacology & Therapeutics, 107(1), 129–135. https://doi.org/10.1002/cpt.1679
Wadhera, R. K., Figueroa, J. F., Joynt, K. E., Rosenbaum, L. S., Kazi, D. S., & Yeh, R. W. (2020). Quality measure development and associated spending by the centers for medicare & medicaid services. JAMA, 323(16), 1614. https://doi.org/10.1001/jama.2020.1816