Clinical Application System to Improve Clinical Outcome Paper
Clinical Application System to Improve Clinical Outcome Paper
Clinical application system to improve clinical outcome
Clinical Application System To Improve Clinical Outcome
Clinical systems are vital in improving the quality of healthcare through the help of the healthcare professions. The systems help in keeping record of patient’s information, clinical decision making, health interventions, and administration. There are a wide range of clinical system used in the medical sector such as electronic health record, artificial medical intelligence, and health information technology. This paper is a summary of peer reviewed articles about the use of clinical applications to improve clinical outcome. Clinical Application System to Improve Clinical Outcome Paper
Guo, J., & Li, B. (2018). The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity, 2(1), 174-181.
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https://doi.org/10.1089/heq.2018.0037
Guo, J., & Li, B. (2018) describes the application of medical artificial intelligence technology in the rural areas of developing countries. The purpose was to discuss how artificial intelligence is used in the medical field to improve efficiency and professionalism in clinical work. The article also describes how artificial intelligence avoids medical errors. The application of artificial medical intelligence has gradually improved from the medical diagnostic decision support system previously used in diagnosing congenital heart disease, to MYCIN expert system that is currently used to identify organisms involved in infectious diseases and make suggestions for use of antibiotics. Later on, the system developed into forensic, veterinary medicine, psychiatry, pathology, radiology, and pathology. Rapid technology development in computers, the internet, and statistics have contributed to the rise of electronic health records for diagnosis, treatment, protocol development, patient monitoring and care, personalized medicine, robotic surgery, and health systems management. The artificial intelligence system has reviewed the inequities and quality of healthcare in developing countries. It has also assisted in diagnosis and clinical decisions to improve the clinical outcome of the patient in the rural areas. Lessons learned from this article are that artificial intelligence technology has the potential in improving the quality of healthcare services and accessibility within rural areas. The clinical diagnosis system would improve if the government and other non-profit organizations would have an agency to manage the project. To realize this goal, the system should have a service network that involves a frontline medical system and a regional medical development center. For example, the system is used to improve data management and also monitor the spread of communicable diseases such as dengue fever. Clinical Application System to Improve Clinical Outcome Paper
Fox, J., Reddy, S., & Purohit, M. P. (2019). Artificial intelligence-enabled healthcare delivery. Journal of the Royal Society of Medicine, 112(1), 22-28.
https://doi.org/10.1177%2F0141076818815510
A study by fox, et al, (2019) on artificial intelligence-enabled healthcare delivery describes the massive progress with the development of neural networks, natural language processing, computer visions, and robotics. The author states that the techniques are actively applied in healthcare with many of the health service activities currently being delivered by clinicians and the administrators predicted in the coming years. The article aims at describing the four areas where artificial intelligence is applied. It includes patient administration, clinical decisions, patient monitoring, and healthcare interventions, stating how to incorporate the techniques in healthcare delivery. Artificial intelligence has gradually improved due to the changing demographics, administrative requirements, workforce shortages, and changes in information technology. Artificial intelligence is also performing activities currently being delivered by healthcare providers and clinicians in healthcare. For example, artificial intelligence monitors patients in coma, heart failure, and in intensive care unit because it has an alarm that will alert the nurses on duty. Hence, timely attendance to the patients will be accorded thus improving the outcome. The use of artificial intelligence in clinical decision, patient monitoring, and healthcare intervention have recorded an improvement in quality of care and date recording. I have learned that artificial intelligence systems have reduced medical errors and increased patient safety during monitoring, interventions, and recording. Healthcare providers can make accurate decisions when using artificial. Clinical Application System to Improve Clinical Outcome Paper
Kruse, & Beane, (2018) Health information technology continues to show a positive effect on medical outcomes: a systematic review. Journal of medical Internet research, 20(2), e41
doi: 10.2196/jmir.8793
Kruse, & Beane, (2018) describes how health information technologies continue to show a positive effect on the medical outcome. The purpose of this study was to analyze the current literature for the impact of health information technologies on medical outcomes. The authors describe health information technologies as an umbrella that covers a wide range of technologies to store, share, and analyze health information. The new standard of care through the new technology was adopted to improve medical outcomes and patient safety. In 2009, the health information technology for economics and clinical health system act made incentive payments for all the providers who used electronic health records, stimulating widespread adoption of HIT across the various healthcare settings. It has increased the arithmetic growth of patients, quality of care, and decrease medical errors. HIT demonstrated a positive relationship in the medical outcome, clinical efficiencies, and administrative effectiveness. The observed result of the gradual improvement from artificial intelligence to HIT is quality improvement, safety concern, the transition toward value-based purchasing, and reimbursement methods. For example, HIT is widely used in the literature between 2007 and 2010 to show the high standard of scientific analysis. Therefore, it will gradually improve patient safety and clinical outcome. What I learned from health information technologies its potential to increase accessibility, improve the quality of care, patient safety, and sustainable patient’s health. There is a need for research to reveal and define the relationship between HIT and medical outcomes as the industry continues to research new innovative ways to integrate technological advancement.
Angelis, A., Lange, A., & Kanavos, P. (2018) Using health technology assessment to assess the value of new medicines: results of a systematic review and expert consultation across eight European countries The European Journal of Health Economics, 19(1), 123-152. Clinical Application System to Improve Clinical Outcome Paper
https://doi.org/10.1007/s10198-017-0871-0
Angelis, et al, (2018) describe the use of technology assessment to assess the value of new medicines and expert consultation across European countries. The health technology assessment systems base their decision-making process either on economic evaluations and comparative clinical benefit assessment. This approach aimed to assess and pricing points towards incorporating supplementary evidence and criteria that capture the additional dimensions of value. The health technology assessment systems are based on the decision-making process on cost per outcome metrics of economic evaluations. Health technology assessment relates to all types of evidence such as evaluating, analyzing, and classifying coverage decision-making systems for health technologies adjusted according to the needs of current examinations. It also focuses on assessment and appraisal. The improvements made include the responsibilities of HTA, evidence and valuation criteria, methods and techniques applied, and the outcome implementation. This system has improved decision making and more efficient resource allocation raising public confidence and fairness in terms of consistency of decision outcomes. What I have learned is that, there are limitations in the current HTA system that will need to improved to enhance clinical decisions. There are conceptual and policy gaps and the need for methodological approaches that encompass multiple evaluation criteria. Decision analysis and multiple criterion evaluation approaches could potentially provide the foundation for measuring.
We are living in a dynamic world where technological advancement has taken a toll on every aspect of life. Almost everything can be done in the comfort of our homes except that in our medical field, we have to offer our essential service to our clients in person. Consultations and drug prescriptions can be done online but attending to critical issues, healthcare personnel have to be present. The desire of patients wanting to take control of their medication plan has had its way because telehealth is now up and running in facilities that use electronic Health Records systems (EHR) (Bergren, & Maughan, 2020).
Mychart is a technological system that is used in healthcare facilities to perform different duties and eliminate much paperwork and is used in the facility that I work in. Mychart is equipped with different portals to perform different functions including the patient portal which allows patients to access their medical reports and monitor their progress on their own. These technological advancements are gradually gaining popularity around the world because of their reliability, accuracy, convenience, speed, and security (Bergren, & Maughan, 2020). However, despite MyChart’s utility for patients in an outpatient setting, the current layout of the portal is not conducive for patients when applied to an inpatient setting
Building a portal system that blends inpatient and outpatient health information flawlessly can be a difficult and challenging task. For patient portals to function appropriately the design is key; therefore, extreme detail needs to take place during the building of the software with ample input from a patient’s perspective (Jacobs, et al., 2017). Another barrier to implementing bedside patient portals is cost. Providing access to patient portals during hospitalization can be costly for organizations because, in addition to paying for software, they must supply patients with the devices to access the portal, such as a tablet or other electronic device. Clinical Application System to Improve Clinical Outcome Paper
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Combining personalized patient portals with other patient-centered care modalities in an inpatient setting can reduce the number of adverse events and increase patient satisfaction. Dykes et al. (2017) conducted a study that resulted in a decrease in adverse events and improved patient satisfaction after implementing web-based technology that kept patients and caregivers involved in care planning during hospitalization in an intensive care unit.
A potential risk that can hinder patient care is if the patient portal is too complicated to navigate which can discourage patients from using the web-based technology. According to Jacobs, et al., (2017), another risk that can impede patient care is if the portal presents an overabundance of unnecessary or obscure data and information that overwhelms the patient or caregiver. Information overload can cause anxiety, misinterpretation, and weaken communication between the healthcare provider and patient.
The most promising healthcare technology trend that can have the biggest impact in nursing practice is a well-designed patient portal system that can integrate and communicate patient data across multiple platforms (Bergren, & Maughan, 2020). Patient portals can provide the patient with a personal profile of the nurse currently caring for them, which can strengthen the patient-nurse relationship. Patients can use the portal to assist nurses in developing their plan of care and trend progress. Links for educational material and support groups can be accessed on the patient portal and bolster any educational teaching provided by the nurse. Bergren, & Maughan, (2020) further explain that bedside patient portals can increase communication, enhance the nurse-patient relationship, and facilitate more effective nursing care during hospitalization. Patient portal systems can provide both, patient and caregivers, with the ability to engage in healthcare decisions and improve continuity of care that upholds even after discharge from the hospital.
Referencing
Angelis, A., Lange, A., & Kanavos, P. (2018) Using health technology assessment to assess the value of new medicines: results of a systematic review and expert consultation across eight European countries The European Journal of Health Economics, 19(1), 123-152. Clinical Application System to Improve Clinical Outcome Paper
https://doi.org/10.1007/s10198-017-0871-0
Fox, J., Reddy, S., & Purohit, M. P. (2019). Artificial intelligence-enabled healthcare delivery. Journal of the Royal Society of Medicine, 112(1), 22-28.
https://doi.org/10.1177%2F0141076818815510
Guo, J., & Li, B. (2018). The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity, 2(1), 174-181.
https://doi.org/10.1089/heq.2018.0037
Kruse, & Beane, (2018) Health information technology continues to show a positive effect on medical outcomes: a systematic review. Journal of medical Internet research, 20(2), e41
doi: 10.2196/jmir.8793 Clinical Application System to Improve Clinical Outcome Paper
