In the Discussion for this module, you considered the interaction of nurse informaticists with other specialists to ensure successful care. How is that success determined?
Patient outcomes and the fulfillment of care goals is one of the major ways that healthcare success is measured. Measuring patient outcomes results in the generation of data that can be used to improve results. Nursing informatics can have a significant part in this process and can help to improve outcomes by improving processes, identifying at-risk patients, and enhancing efficiency.
- Review the concepts of technology application as presented in the Resources.
- Reflect on how emerging technologies such as artificial intelligence may help fortify nursing informatics as a specialty by leading to increased impact on patient outcomes or patient care efficiencies.
The Assignment: (4-5 pages)
In a 4- to 5-page project proposal written to the leadership of your healthcare organization, propose a nursing informatics project for your organization that you advocate to improve patient outcomes or patient-care efficiency. Your project proposal should include the following:
- Describe the project you propose.
- Identify the stakeholders impacted by this project.
- Explain the patient outcome(s) or patient-care efficiencies this project is aimed at improving and explain how this improvement would occur. Be specific and provide examples.
- Identify the technologies required to implement this project and explain why.
- Identify the project team (by roles) and explain how you would incorporate the nurse informaticist in the project team.
Expert Answer and Explanation
The Impact of Nursing Informatics on Patient Outcomes and Patient Care Efficiencies
Among the ways that informatics has helped to transform care is improved documentation systems, where care providers can easily access important patient and staff information that leads to coordinated care. The introduction of nurse informatics also helps to improve the processes in care and hence to generate improved care outcomes (Robert, 2019). Also, with informatics, healthcare givers can identify at-risk patients in a timely fashion and give them more priority to care.
Description of Proposed Project: The Integration of Artificial Intelligence in Nurse Informatics
Artificial intelligence, commonly known as AI, is the simulation of intelligence of humans to machines to make these machines adopt human functions. Over the years, there have been improvement of the AI functions as technologies continue improving. Today AI applications include but are not limited to speech recognition, machine vision, natural language processing, and expert systems. Healthcare implements AI by using complex software and algorithms to interpret and comprehend complex medical data (Clancy, 2020). The fact that AI uses technologies that can gain information and process it to refined outputs means that it can have limitless applications in healthcare. In this project, the implementation of AI in the field of nurse informatics is closely examined.
Stakeholders Impacted by the Project
There are several stakeholders who are impacted by the project, with the patients being on the first line. Most of the actions in the project involve patient care, as the objective of the project is to improve the patient care outcomes. The second most impacted stakeholders are the healthcare givers and specifically the nurses, who also play a crucial role in coordinating patient care with other healthcare givers. Nurses are the individuals who are in contact with the patients for the longest periods hence it becomes easy to monitor them. Patient families are also influential stakeholders in this project as much of the actions will require their consent as well as their opinion output on the options available. Regulators will also take a primary position in the project, especially because machine learning and other elements of artificial intelligence can also have drastic patient outcomes if reckless researchers or healthcare providers are allowed to take the center-stage in implementing non-proven measures. Lastly, the healthcare financiers will be part of the stakeholders since AI is an expensive field that requires strategic financing.
Patient Outcomes or Patient Care Efficiencies that the Project is aimed at Improving
The first patient outcome that the project is aimed at improving is the diagnostic procedures of care. Through application of AI in nursing informatics, nurses can efficiently perform nursing diagnoses to improve the detection of the presence of absence of disease and determine the best care operations for specific patents. Among the diseases that can be efficiently diagnosed using AI is cardiovascular disease and diabetes, which are among the leading causes of mortality worldwide.
AI is also expected to help in the integration of telehealth in the care of patients. Telemedicine or telehealth helps in monitoring of patient information using strategic and remote techniques, and using automated means. It allows patients with chronic conditions to have long contact with the healthcare providers regardless of the physical barriers (Erikson & Salzmann-Erikson, 2016). Using AI in telehealth improves the efficiency of administration of drugs, as patients can consult physicians at their convenience of their homes. Also, these programs allow the education and advice of patients, remote admissions, as well as constant monitoring.
The project is also aimed at showing the relevant drug interactions that could help the patients achieve synergy of the drugs and improve the effects. Also, in the same way, AI technology can help to identify lethal interactions that could lead to risking of the patients’ lives. Specifically, the project helps patients to identify the most suitable options when it comes to drug administration. It is easy to find that most chronic disease patients experience polypharmacy, and they are confused whether taking an additional drug would lead to improved outcomes. With AI, healthcare givers do not have to take multiple lab tests to determine the suitability of an additional medication for the patient.
The project is aimed at boosting the interaction of the patients as well as the healthcare givers with electronic health records. The digitization of information in facilities has often been cited to have some drawbacks such as having burnout among users and also cognitive overloads. Automation of these processes can help to implement natural language processing tools that help in improving the accuracy of the treatment responses.
Technologies Required to Implement the Project
There are a wide range of technologies that are required in the implementation of the project. Among these is algorithms that aid in data processing and automated reasoning. The general idea of AI is that human-like machines or machines with human functions help in performing tasks that help in improving the specific healthcare processes (Shortliffe & Sepúlveda, 2018). Different software that help in computation and analysis such as matlab and SPSS have to be applied in the implementation of the project outcomes. Some of the directly involved individuals such as the nurse informaticists would have to have some machine learning technologies that help them to gain a deeper understanding of the nature of the project (Shortliffe & Sepúlveda, 2018). Another technology that will be required in implementation of the project is artificial neural networks that guide in implementing information processing to biological systems.
Project Team Roles and the Incorporation of Nurse Informaticists in the Project
The different project teams will be reporting directly to the lead coordinator, who is the nurse informaticist. This nurse informaticist will play a chief role in the implementation of the project systems as they have the relevant nursing background knowledge that guides in the implementation of technology in healthcare. Other healthcare givers will be required to implement the proven project outcomes in care and to constantly monitor the progress among patients. The nurse informaticist will learn different machine learning technologies that help them become more viable to coordinate the project among all individuals involved, as well as to maintain the regulation protocols in care.
Artificial intelligence is one of the biggest innovations in the recent past, and its integration in care can help in improving the care outcomes among individuals. The nurse informaticist involved in the project will be required to learn some of the machine learning technologies so that they can help in implementing the processes in the project and coordinate it efficiently among other healthcare givers. Other stakeholders of the project include the patients, who are the beneficiaries, the financiers, regulators, the patients’ families, among others. The project is expected to improve telehealth operations, diagnostic procedures, drug interaction coordination, as well as boost the interaction of patients and healthcare providers.
Clancy, T. R. (2020). Artificial Intelligence and Nursing: The Future Is Now. JONA: The Journal of Nursing Administration, 50(3), 125-127.
Erikson, H., & Salzmann-Erikson, M. (2016). Future challenges of robotics and artificial intelligence in nursing: what can we learn from monsters in popular culture? The Permanente Journal, 20(3).
Robert, N. (2019). How artificial intelligence is changing nursing. Nursing management, 50(9), 30-39.
Shortliffe, E. H., & Sepúlveda, M. J. (2018). Clinical decision support in the era of artificial intelligence. Jamal, 320(21), 2199-2200.