Name
Capella University
NURS-FPX5005: Managing Health Information & Technology
Instructor’s Name
September 24th, 2024
Analysis of Technology in Nursing Practice
Change is required in a dynamic field like patient care technology, but this must not neglect the crucial role of evidence-preservation processes in getting full value out of such developments. The use of CGM devices has however greatly improved diabetes care through real-time data and notification. Healthcare practitioners need to adopt scrupulous practices in the course of the unreserved lately that harmonize with the newest research experience and clinical guidelines if they are to maximize such technology (Mrayyan et al., 2023). This direction automatically ensures that the patient requirements as well as conditions are met, which would lead to improved results augmenting technical quality.
Analysis of How Patient Care Technology Affects Patient Care and Nursing Practice
Patient Care Technology: Continuous Glucose Monitoring (CGM) Systems
Impact on Patient Care
Another revolutionary intervention is ongoing glucose monitoring, which gives real-time data on the blood glucose level. This shows that a major area of resilience for CGM over intermittent finger stick sampling is the ability to fine-tune and remain in glycemic control. CGM provides constant information even during the night (Perez et al.,2021). This results in more precise changes in insulin and other therapies through which glycemic control can be personalized and the likelihood of hyperglycemia minimized.
The other advantage is that the system can identify changes in blood sugar levels at an early stage. Enabling consumers and medical persons with an early warning system of changes in their blood sugar levels before they turn into complications like hypoglycemia or diabetic ketoacidosis, the CGM is a health monitoring technology. Diabetes patients are thus able to act quickly because of this relatively aggressive approach to managing their condition.
Impact on Nursing Practice
Essential factors that enhance the application of continuous glucose monitoring (CGM) systems include the following: An important topic that needs to be addressed is this: Should the directors of Clinique Médipal, where nurses are the principal users of this technology, be held responsible for the evaluation of the unchanging stream of data, and its integration into individualized care for patients? (Lin et al., 2021). To optimize patient outcomes, nurses must learn how to both read glucose information and make conclusions based on it. They also play a major role in patient training helping individuals on how to correctly utilize sensors, interpret data, and respond to alarms generated by CGM technology.
From this study, it was evident that nurses’ workflows can be enhanced by the utilization of CGM devices. CGM technology reduces the burden of time consumption for both patients and nursing staff because of the lesser frequency of fingerstick tests. This helps in the management and care of the patients and also enables the nurses to perform other tasks of taking the patients (Jiao et al., 2022). Moreover, there are CGM devices that have remote monitoring permitting healthcare professionals to continually monitor the glucose levels of patients they are managing from a distance. This feature helps in improving additional care proceeds without direct communication which in a way promotes early diagnosis and improves the productivity of diabetic care.
Assumptions
The evaluation of continuous glucose monitoring (CGM) systems is based on an analysis of three major ideas. First and foremost, to be useful, the technology must be technically correct – delivering accurate glucose readings, free of mistakes or failure. Another critical component of CGM is the patients’ engagement: they use the device, receive the provided information, and apply it to daily self-management of diabetes (Faulds et al., 2023). CGM devices are most helpful where the patient is willing and capable of using them to the full as a piece of technology.
Second, the analysis assumes that because the viewers of CGM data are healthcare workers including nurses, these viewers have been trained to read CGM data. To this effect, the individual has to understand the methods for processing this type of data and deriving clinical decisions directly from the data streams (Gothong et al., 2022). It also draws into question the sufficiently developed institutional support and appropriate financing so that the medical personnel could use CGM devices in the field.
Lastly, the research is based on the premise that the CGM systems are compliant with the privacy and data security laws of the country; for instance, to ensure that patient records are not breached HIPAA regulations are followed.
Analysis of Data Communication and Evaluation Criteria
Data Communication
In the following several critical processes that ensure the accurate and timely transfer of glucose data, contour next CGM provides valuable data. CGM is constantly monitoring the glucose levels in the interstitial fluid with sensors installed a little beneath the skin (Van and Bailey, 2021). After that, through wearable receivers or cell phones, this data is transmitted to patients and medical workers. Easy digital communication is sometimes enabled by Wireless technology such as Bluetooth or any similar technology.
With regards to the last one, the dashboards are usually used to show the data recorded by the CGM devices in graphical forms and causes, trends, frequency, and signs of variation in the blood glucose level (Galindo et al., 2020). This has been due to the fact patients and healthcare professionals can review glucose records on not only an instant basis but also on a more informed basis with this visual representation.
Criteria for Evaluating Data
CGM devices for diabetes self-management require several considerations to operate effectively for DM patients. Depending on the desire for reliability, these numbers must be highly similar to conventional blood glucose level values. Also, how observation is done needs to be timely because needed adjustment of the patient’s glycemic level may require immediate or nearly immediate access to the observation data. In addition, data must be complete to continue the monitoring process continuously, which can then be used to provide reliable trends (Salavati et al., 2019). This is why I think that every data should be presented in an as clear and unsubdivided manner as it is possible, for the sake of the patient, and the sake of the doctor. Moreover, to get essential and comprehensive information about the patient’s health status, CGM data should be connected with Electronic Health Records.
Controls and Safeguards for Patient Safety and Confidentiality in CGM Systems
Various key measures are crucial for the simple and effective functioning of CGM systems as the safety net. Patients’ protection and privacy should always remain paramount to anything that may threaten or jeopardize the same. Encryption is one of the basic measures in data protection that assist in maintaining the privacy of a person when it comes to the levels of glucose while in transit between the CGM sensor, the receiver, or the appropriate smart applications (Bani Issa et al., 2020). In doing this, data can only be accessed by those who are permitted to do so both while in transit as well as when stored. In addition, the security of Electronic Medical Records (EMR) systems involves the mandatory setting of strict passwords and user identification numbers.
All patients’ information must be kept in relatively safe servers and databases and should only be accessed by people with permission (Varpula et al., 2022). A security vulnerability, in essence, needs to be sought to ensure that all protective measures are set and functional, and that is where the necessity of security auditing comes from.
The privacy laws, therefore, have to be complied with as patients have to understand how their data will be used, and by whom, before such usage can commence. The following is also mandatory where patient information is involved, legal data protection regulations like the HIPAA rules.
Knowledge Gaps, Unknowns, and Areas of Uncertainty
To enhance the analysis of the CGM system, the existing challenges and gaps inclusive of uncertainties have to be overcome. Complicated attacks are an element of the constantly evolving threat environment of CGM systems, and, therefore, it is highly beneficial to consider ways of handling different security threats in the subject. More work remains to be done when it comes to the long-term storage of data and the lifetime of current security systems (Varpula et al., 2022). Furthermore, knowledge about the patients’ attitudes toward privacy could contain knowledge about how much they believe in the technology and their data. Implicit in the use of CGM data in EHRs are risks that will require research to be assessed to minimize the occurrence of mistakes or compromise of data security. Since privacy concerns dictate that the patient information cannot be transmitted to third parties or through the internet, further research is quite relevant in other ways the sharing of data is ethical and/or lawful, especially under supervised telemonitoring conditions.
Improving the Application of Patient Care Technology through Evidence-Based Strategies
Evidence-Based Strategies
Clinical trial research can produce best practice protocols and procedures that can help to enhance the efficient utilization of CGM systems (Tang et al., 2019). These tactics include research on the aims and objectives of glycemic control and normal targets as well as methods of general care used in the current health care system that offer a chance to understand CGM data and to make changes to the insulin dosage of patients quickly. Executing these recommendations is possible, as advanced contemporary CGM technology is capable of providing better results for patients.
Relaunching Patient Education
It is evident that by implementing evidence-based programs; patients with diabetes can better understand and accept current-generation CGM technology. Diabetes self-management can also be enhanced with structured education programs covering the details and utilization of CGMs plus practical teachings on how to interpret CGM data and respond to alerts (Silva et al., 2023). These programs can allow people to learn to become proactive and empower them to manage their health as it will ensure that patients get the optimum out of their CGM devices.
Ongoing Monitoring and Feedback
For enhanced results in the implementation of CGM, the observation and input ought to be done continually. Both patient satisfaction and the state of health, systems, and outcomes can be evaluated regularly to officially propose this process through evidence-based practices (Wakibi et al., 2020). This way, over time the data analysis on the effects of changes to, for instance, a technology or care delivery process, will develop patient management.
NURS FPX 5005 Assessment 4 Conclusion
CGM systems and EHRs are among the modern nursing technologies that are beneficial for patients due to the real-time tracking of patient data, increased accuracy of the data, and value, individualized patient approach. They enhance the organization and efficiency of necessary nurse activities contributing to better patient information management and individualized patient care (Rezayi et al., 2022). However, issues such as costs in terms of data security, integration problems, and availability of sufficient training for the health care providers are some factors that must be given adequate attention for the implementation to work.
NURS FPX 5005 Assessment 4 References
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