NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

Sample Answer for NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS Included After Question

Throughout history, technological advancements have appeared for one purpose before finding applications elsewhere that lead to spikes in its usage and development. The internet, for example, was originally developed to share research before becoming a staple of work and entertainment. But technology—new and repurposed—will undoubtedly continue to be a driver of healthcare information. Informaticists often stay tuned to trends to monitor what the next new technology will be or how the next new idea for applying existing technology can benefit outcomes. 

In this Discussion, you will reflect on your healthcare organization’s use of technology and offer a technology trend you observe in your environment. 

RESOURCES 

NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS
NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.  

WEEKLY RESOURCES 

To Prepare: 

  • Reflect on the Resources related to digital information tools and technologies. 
  • Consider your healthcare organization’s use of healthcare technologies to manage and distribute information. 
  • Reflect on current and potential future trends, such as use of social media and mobile applications/telehealth, Internet of Things (IoT)-enabled asset tracking, or expert systems/artificial intelligence, and how they may impact nursing practice and healthcare delivery. 

BY DAY 3 OF WEEK 6 

Post a brief description of general healthcare technology trends, particularly related to data/information you have observed in use in your healthcare organization or nursing practice. Describe any potential challenges or risks that may be inherent in the technologies associated with these trends you described. Then, describe at least one potential benefit and one potential risk associated with data safety, legislation, and patient care for the technologies you described. Next, explain which healthcare technology trends you believe are most promising for impacting healthcare technology in nursing practice and explain why. Describe whether this promise will contribute to improvements in patient care outcomes, efficiencies, or data management. Be specific and provide examples. 

BY DAY 6 OF WEEK 6 

Respond to at least two of your colleagues* on two different days, offering additional/alternative ideas regarding opportunities and risks related to the observations shared. 

*Note: Throughout this program, your fellow students are referred to as colleagues. 

A Sample Answer For the Assignment: NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

Title: NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

A general healthcare technology trend related to information that I have observed in my nursing practice is the increasing use of electronic health records (EHRs). EHRs allow multiple healthcare providers to access and update a patient’s information digitally, as opposed to relying on locating or faxing over paper records (HealthIT.gov, 2018). When I worked in an outpatient office that did not use an EHR, I saw how this slowed down patient care. We wanted to avoid repeating tests a patient had already gotten and wanted to fully understand the patient’s history, but it could mean hours of waiting for the patient’s record to be faxed over from the other office. Sometimes we would finally get a record, but a crucial page would be missing, or an important page would have handwriting from the provider that was barely legible, which further delayed patient care and could have caused patient harm. This shows how a benefit of EHRs is the improvement in patient care outcomes by giving providers complete and up-to-date information about their patients immediately. This allows more accurate diagnosis, quicker treatment, and the ability to communicate with other healthcare providers in the team.

 

EHRs help avoid many of the problems of paper records, but also come with their own set of risks. For example, security and confidentiality of patient information that is now visible by possibly hundreds of healthcare providers is a concern, as well as the risk of data loss or system outages. My current hospital uses an EHR, and the system shut down during shift change one Sunday morning. This caused a lot of confusion and risk for patient harm, as we could not access the patient’s information needed to give report to the oncoming nurse, hand off critical medications, give medication, and more.  There is also a risk of data breaches with EHRs, which could lead to patient information being disclosed without their consent to unauthorized parties. This risk can be mitigated by having strong security measures, such as two-factor authentication that my hospital uses, and regularly training staff on how to protect patient data (Abouelmehdi et al., 2018).

 

A healthcare technology trend that I believe is promising for impacting healthcare technology in nursing practice is telehealth. I believe it will help patient care outcomes and efficiencies. Telehealth allows healthcare providers to deliver care remotely, using video conferencing and other digital tools (Skiba, 2017). This is especially useful in areas that do not have nearby access to healthcare providers, such as rural or underserved areas. For patients that have chronic conditions or who cannot easily travel to a healthcare facility, telehealth is also valuable. During the beginning of the covid pandemic when social distancing was paramount for everyone’s safety, I met with my healthcare provider through telehealth.

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A potential risk of telehealth is thinking that it is suitable for all types of care, as a physical exam is a key to

NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS
NURS 6051 HEALTHCARE INFORMATION TECHNOLOGY TRENDS

diagnosing and treating most conditions; a provider may not be able to safely diagnose a condition with only a history and your description of your symptoms. Another risk is the quality of the technology being used, as a zoom meeting with choppy audio or internet outages will not allow you to have a productive telehealth visit. There is also a risk of a lack of confidentiality of patient data. However, overall, both EHRs and telehealth can improve patient care outcomes, efficiencies, and data management for nursing practice, as long as we consider the risks associated with these technologies and take steps to mitigate them.

 

References:

HealthIT.gov. (2018c). What is an electronic health record (EHR) Retrieved from
https://www.healthit.gov/faq/what-electronic-health-record-ehr

Links to an external site.

Abouelmehdi, K., Beni-Hessane, A. & Khaloufi, H. (2018) Big healthcare data: preserving security and privacy. J Big Data 5, 1. https://doi.org/10.1186/s40537-017-0110-7

Links to an external site.

Skiba, D. (2017). Evaluation tools to appraise social media and mobile applications

Links to an external site.Informatics, 4(3), 32–40.

Wearable technology is one of the health information technology trends in our organization. It allows healthcare professionals to remotely monitor a patient’s status during the day and for a person to monitor their health status (Iqbal et al., 2021). The wearable devices are usually non-invasive and are developed by integrating a number of sensors with wearable accessories such as wristbands and smartwatches. The devices are connected with smartphones having health applications, which help monitor the person’s health status (Iqbal et al., 2021). Sensors are attached to the devices and are used to collect information about the patient’s health and environment, then uploaded to a hospital’s server or databases.

Potential challenges associated with wearable technology include servicing and maintenance costs. Wearable devices use technologies that require continuous upgrading. High-cost maintenance, servicing, and upgrading costs create a financial challenge for healthcare organizations and the end-users (Pradhan et al., 2021). Wearable technology can improve the quality of healthcare as it allows health providers to monitor a patient’s vital signs remotely. This can lead to an improved quality of life and reduce healthcare costs. Nevertheless, wearable technology has the potential risk of data privacy and security breach. Real-time monitoring of patients’ health information using devices makes it vulnerable to cyber-attacks (Pradhan et al., 2021). Health IT legislation mandates the maintenance of privacy and security of patients’ information. There is an associated risk of mishandling patients’ crucial information, which may negatively affect the treatment process and patient outcomes.

The Cloud storage system is a technology trend that seems promising in impacting technology in nursing practice. It supports the storage of large files and sharing them via various cloud-based platforms (Gao et al., 2018). The cloud system can help health providers efficiently access crucial clinical and patient data. Fast information access can improve the quality of consultations among providers, thus improving the quality of care and health outcomes.

References

Gao, F., Thiebes, S., & Sunyaev, A. (2018). Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions. Journal of medical Internet research20(7), e10041. https://doi.org/10.2196/10041

Pradhan, B., Bhattacharyya, S., & Pal, K. (2021). IoT-Based Applications in Healthcare Devices. Journal of healthcare engineering2021, 6632599. https://doi.org/10.1155/2021/6632599

Iqbal, S. M., Mahgoub, I., Du, E., Leavitt, M. A., & Asghar, W. (2021). Advances in healthcare wearable devices. npj Flexible Electronics5(1), 1-14. https://doi.org/10.1038/s41528-021-00107-x

Response week 6

Thank you for your post Anupa,. It provides a very insightful examination of Electronic Health Records’ use by nurses and other healthcare professionals. The post offers a comprehensive picture of the rising need for more sophisticated electronic health records systems that saves time for care providers when handling particular issues regarding their patients. Using electronic medical record systems, healthcare professionals can effectively and quickly sift across the data and identify laboratory test results,assesses current and past medication history, diagnosis, treatment plans, medical procedures, and foods that should be avoided for a patient to prevent interactions expressed as medication errors.

Electronic medical record systems can reduce medication errors is by flagging potential adverse reactions or drug interactions(Huang et al., 2019). These errors occur due to the prescription of drugs with negative interaction with current medications or foods, the prescription of drugs that have an allergic reaction to a patient, and the failure to identify adverse reactions for a patient. In these environments, the electronic medical records system triggers alerts for both drug-drug and drug-food interactions that are avoided. Electronic medical record systems also facilitate research about the potential interactions between drugs and foods, reducing the potential for these errors to occur (Huang et al., 2019). Finally, electronic medical records can reduce medication errors through reconciliation tools installed in the electronic health records system. For instance, the system allows listing all patients’ medications pre-admission to help the professionals make the right decisions when prescribing medications during admission to prevent potential adverse effects(Huang et al., 2019). All these approaches are fundamental in promoting the quality and safety of medications.

References

Ehr systems: Attributes, benefits, and shortcomings. (2016). In (Ed.), Electronic health records and medical big data (pp. 9–37). Cambridge University Press. https://doi.org/10.1017/9781316711149.002

Links to an external site.

Huang, L., Shea, A. L., Qian, H., Masurkar, A., Deng, H., & Liu, D. (2019). Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. Journal of Biomedical Informatics99, 103291. https://doi.org/10.1016/j.jbi.2019.103291