Select two diverse clinical settings; for example: ED versus ICU, PeriOp versus Med-Surg, Pediatrics versus Adults, or Sports Medicine vs. Nursing
Select two diverse clinical settings; for example: ED versus ICU, PeriOp versus Med-Surg, Pediatrics versus Adults, or Sports Medicine vs. Nursing Home, etc. For your two selected clinical settings, compare and contrast the content, features, need, and value of data, information, knowledge, and decision support to clinical practitioners in those settings.
Justify the clinical elements necessary for each clinical setting and create a recommendation of necessary elements for a shared clinical system.
Make sure that you include the four expanding rings of information (EMR, warehouse, regional, NHIN/PHIN) in your analysis. Describe how the differences would alter the design or features of a clinical system. Support your statements where you claim either similarities or differences between your two settings.
Construct a justification for the shared clinical system from ethical, legal, social, and public policy viewpoints. Formulate a plan for implementation and create the necessary workflow for a successful implementation. Evaluate the role of the master’s prepared informatics nurse after implementation.
Please submit one APA formatted paper between 1000 – 1500 words, not including the title and reference page. The assignment should have a minimum of two scholarly sources, in addition to the textbook.
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The following specifications are required for this assignment:
- Length: 1000-1500 words; answers must thoroughly address the questions in a clear, concise manner.
- Structure: Include a title page and reference page in APA style. These do not count towards the minimum word count for this assignment.
- References: Use the appropriate APA style in-text citations and references for all resources utilized to answer the questions. Include at least three (3) scholarly sources to support your claims.
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required resources
- McGonigle, D., & Mastrian, K. (2017). Nursing Informatics and the Foundation of Knowledge (4th ed.). Jones & Bartlett Learning. ISBN: 978-1284121247. Read Chapters 23 & 24
Expert Answer and Explanation
EHR use in Sports Medicine vs. Nursing Home Settings
The widespread adoption of the informatics technology stems from the growing need for providers to optimize the outcomes of clinical interventions by using data to inform clinical decisions, and leveraging remote monitoring systems and other Health Information Technologies (HITs) to reduce patients’ risks of developing serious complications. As an example of the HITs, the Clinical System (SCS) is shaping healthcare delivery by enhancing the management of medications, improving the judicious use of medical resources by preventing duplication, and enhancing providers’ access to patients’ clinical data.
As a common platform that encourages sharing of data, the SCS is associated with various features and capabilities, allowing clinicians to seamlessly share data within and across healthcare entities (McGonigle & Mastrian,(2017). The SCS and informatics systems in general, are driving the delivery of care in Nursing Home and Sports Medicine settings. Regarding these two settings, there are specific clinical elements for a SCS. It is important to examine the elements that are unique to each of the two settings, exploring how the variation of these elements would impact the SCS design.
Comparing and Contrasting the Clinical Settings
The difference between Sports Medicine and the Nursing Home primarily plays out when comparing them in terms of content. With the nursing home, for instance, the focus is maintenance of the health of the elderly and individuals with chronic illnesses. Conversely, the sports medicine prioritizes athletes’ performance, addressing various aspects of the athletes’ needs including nutritional needs (Quinn et al., 2019).
When compared based on key features, Sports Medicine and the Nursing Home seem more different that they are similar. When it comes to the nursing home, for instance, the setting is a facility designed to address the seniors’ needs, and it involves Interprofessional working together to holistically address patients’ needs. Conversely, the sports facilities and hospitals are some of the settings associated with the sports medicine which specializes in addressing issues such as injuries and Muskoskeleton problems.
Although the two settings employ various forms of interventions to promote patient recovery, their needs seem to differ. Some of the needs associated with the nursing home include managing memory loss among the elderly, providing quality health services to minimize the risk of health complications, and administering medications by adhering to the required protocol (Quinn et al., 2019). Under sports medicine, the needs include enhancing of performance, patient rehabilitation, and prevention of injuries. The shared need for both settings is the nutritional support.
Comparing the two settings in terms of the value of data also reveals significant differences. In both settings, data supports research, allowing researchers to identify the patterns of clinical interventions, and come up with meaningful inferences about the effectiveness of the clinical interventions. However, research in the context of the nursing home informs decisions on issues pertaining to the management of the elderly health (Quinn et al., 2019). On the contrary, researchers in sports medicine leverage data to identify the effectiveness of certain training techniques.
The divergence of the sports medicine and nursing home’s characteristics plays out when examining how they compare in terms of knowledge and information. The healthcare professionals working with patients in home care settings understand how to manage chronic illnesses, and administer appropriate medications based on patient characteristics. In contrary, those who work with athletes have knowledge in vast areas including nutrition and physical education (Yogesh & Karthikeyan, 2022). They also rely on the knowledge generated through research to decide the most appropriate approach to training.
The difference between the two settings is also noticeable in the tools that providers in both settings employ to help support patient care. The tools that providers use in nursing homes, for instance, emphasize reducing cases of falls, and reducing the intensity of pain. The sports medicine’s tools integrate capabilities such as imaging techniques to enhance data collection.
The Reasons why the Clinical Elements are required for the two Clinical Settings
To meet patients’ needs within both settings, the clinical elements for both settings will be necessary. The data will particularly be resourceful in terms of advancing the goals focused on implementing the SCS. In both settings, some of the useful data to consider include the nutrition information, the blood glucose level, and the respiratory rate. It is equally important to take into account the patients’ history of serious cases of drug reactions.
Considering the patients’ preferences in terms of the approach to health education is necessary because using an intervention that they prefer can encourage them to participate in treatment or comply with physicians’ instructions (Moleman, Regeer, & Schuitmaker-Warnaar, 2021). For the providers working with patients in each of the settings, the knowledge about data as a component of a SCS is important because it makes them see the seriousness of collecting and analyzing data when working with patients. For nurses, considering data as an element of the SCS would lead to the delivery of effective care.
The Necessary Elements for a Shared Clinical System
Regarding the SCS, there are fundamental elements that one needs to take into account. As part of these elements, the Electronic Medical Records (EMRs) play a crucial role because it supports the capturing of data. When designing SCS, one should design integrating it with the EMRs so that it is able to seamlessly record data. The design should also incorporate the data-warehouse, allowing the storage of the data. Just like data safety, the quality of data matters and this underscores the need to ensure that the collected information is accessible, secure, and is stored in the right format.
This is important because it minimizes the legal issues that may arise as a result of the breach of data privacy or due to compromising of the data integrity (Savage & Savage, 2020). The National Health Information Network (NHIN) is one of the examples of the integrated data systems, allowing clinicians to retrieve clinical data that can help them make decisions related to managing clinical conditions.
The NHIN is likely to be useful to the healthcare professionals working with athletes. This may not be necessary in a situation in which nurses work with patients in nursing home facilities. Given the difference in the elements of the clinical system for both settings, positive outcomes are likely to be witnessed when caring for athletes.
Justification for the Shared Clinical System from an Ethical, Legal, Social and Public Policy Perspectives
The SCS has several implications for the healthcare professionals who work with patients in the two settings. From an ethical perspective, the SCS would lead to similar intervention outcomes in both settings considering that it emphasizes the use of standardized data to improve the efficiency of the clinical interventions. Because the SCS reinforces the need to standardize data, it is likely to result to the improvement of the data security.
The positive impact of the SCS is also likely to play out when it comes to addressing the gap in access to the health services. One of the key features associated with the SCS is that it offers a common platform for those who want to access data, and rely on this data to inform their decisions. Thus, there is a possibility that leveraging the SCS is likely to help address the disparity in access to care because of use of separate systems as it will support providers’ decisions when using the SCS in either setting (Simpson et al., 2021).
There are legal penalties for healthcare professionals who make decisions that compromise patients’ safety. Because the SCS minimizes the risk of adverse clinical events by promoting access to patients’ data, those using the SCS are likely to provide safer clinical interventions. Accordingly, this is likely to reduce the legal consequences associated with the delivery of poor care.
Plan of Implementation
The implementation of the SCS goes through various stages beginning with assembling the right team with appropriate skills. These individuals would work together, identifying the necessary components that can support building of the system. The implementation of the SCS occurs after coming up with appropriate design that includes the system requirements and features. Using the plan-do-study-act framework can help inform the development of the SCS.
The Master’s Prepare Informatics Nurse’s Role in Implementation
The development of the SCS requires combined efforts including the input from a Master’s Prepared Nurse. When it comes to the SCS implementation, the nurse may manage all aspects of the project including resource allocation. The nurse equally identifies grey areas, and recommends solutions that can help optimize the system development outcomes. For instance, they may recommend involving users to improve usability.
Conclusion
In overview, the nurse informaticist’s role is fundamental to the development of the SCS because they are experienced enough to contribute meaningfully to the development of the system. The SCS can benefit providers working with patients in settings such as sports medicine and home care environments. The use of the SCS in these settings is associated with improved health outcomes, and reduced legal consequences for providers.
References
McGonigle, D., & Mastrian, K. (2017). Nursing Informatics and the Foundation of Knowledge (4th ed.). Jones & Bartlett Learning.
Moleman, M., Regeer, B. J., & Schuitmaker-Warnaar, T. J. (2021). Shared decision-making and the nuances of clinical work: Concepts, barriers and opportunities for a dynamic model. Journal of evaluation in clinical practice, 27(4), 926–934. https://doi.org/10.1111/jep.13507.
Quinn, M., Forman, J., Harrod, M., Winter, S., Fowler, K. E., Krein, S. L., Gupta, A., Saint, S., Singh, H., & Chopra, V. (2019). Electronic health records, communication, and data sharing: challenges and opportunities for improving the diagnostic process. Diagnosis (Berlin, Germany), 6(3), 241–248. https://doi.org/10.1515/dx-2018-0036.
Savage, M., & Savage, L. C. (2020). Doctors Routinely Share Health Data Electronically Under HIPAA, and Sharing With Patients and Patients’ Third-Party Health Apps is Consistent: Interoperability and Privacy Analysis. Journal of medical Internet research, 22(9), e19818. https://doi.org/10.2196/19818.
Simpson, E., Brown, R., Sillence, E., Coventry, L., Lloyd, K., Gibbs, J., Tariq, S., & Durrant, A. C. (2021). Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review. Frontiers in public health, 9, 641424. https://doi.org/10.3389/fpubh.2021.641424.
Yogesh, M. J., & Karthikeyan, J. (2022). Health Informatics: Engaging Modern Healthcare Units: A Brief Overview. Frontiers in public health, 10, 854688. https://doi.org/10.3389/fpubh.2022.854688.
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