In this paper, five peer review articles has been summarized along with explaining the efficiencies, outcomes, nursing practices, lesson learned as well as healthcare delivery. The search has been performed within the time range of last 5 years and the chief focus was oon clinical systems for providing support for improving efficiencies as well as outcomes. The paper has mainly focused on Artificial Intelligence (AI), a filed which deals with development, conception, and tool based intelligent technologies as well as implementation of informatics (McGonigle, 2018). The chief purpose of the paper is to assess the complex thought process as well as intelligence of human beings.
Artificial intelligence (AI), when it comes to the healthcare industry, refers to the complex software as well as algorithms used for estimating human cognition during analysis of medical data (Suchi, 2019). It is also defined as the ability of the computer algorithms for drawing approximate conclusion without direct input by human beings (Suchi, 2019). It is considered to be one of the 5 crucial trends that has the potential to shape the industry in 2019 (Pifer, 2019). AI is expected to suppress 24 billion dollar b y the year 2025 compared to 2.1 billion dollars in the year 2018 (Pifer, 2019).
Improvement
It takes a lot more data compared to human brain in order to use AI more efficiently (Garage, 2019). AI has the potential to reduce errors during diagnosis as well as treatment along with allowing the doctors to work with greater number of patients (Garage, 2019). In future, i is expected that individuals will gain the capacity of self diagnosis with the help of DIY medical diagnosis (Garage, 2019). This will be done through apps by asking questions, processing the histry of the patients along with demonstrating diagnosis based on the symptoms (Garage, 2019). For instance, image recognition technique will be used for diagnosis of diseases that cause change in the appearance, optical deviation, dermatological diseases and diabetes.
The pharmacuticalgiant like GSK, Merck have predicted the discovary off a pprimary drug tool within the coming two years. With the help of gadgets like EKG monitor, wearables. Mobile applications, smart sensors and fitness tracker the internet is able to remote monitor the well being of the patient when it comes to pulse rate, heart rate, blood pressure as well as glucose. A pill known as Abilify MyCite, that has the potential to digitally track the ingestion of the patient has been approved by the FDI. Moreover the pill is known to be antipychootic, approved for major depressive disorder.
Efficiencies
AI has the potential to provide warnings for immunotherapy for cancer, sepsis along with c-diff identifying infection patters (Howell, 2018). Majority of the hospitals are dependent on EHR, which is a digital version of the chart of the patient along with their medical history and past medical treatment (Wu, 2019). It provides multiple services to the hospitals that include providing electronic prescription, as a communication channel and mechanics for documentation for supporting billing compliance (WU, 2019).
Lessons learns
AI is software which can be used for imaging for assisting physicians while diagnosing as well as suggesting the health predictions (Arndt, 2018). According to Dr. Wayatt Decar, the chief medical information officer, term augmented human intelligence acts better than AI (Wu, 2019). The chief purpose of AI is to augment human activity instead of replacing the same (Arndt, 2018). Medicine has the potential to make better decisions by benefiting from artificial intelligence as well as machine learning (Arndt, 2018). During the early stage of development of AI, ethical challenges along with social media has the potential to undermine the automacy as well a privacy that can cause stigmatization (Shaban, 2018). Financial concern due to recent implementation of HER healthcare has led the physicians to focus less o the healthcare service users and more on the EHRs (Wu, 2019). For each and every hour a healthcare professional spends with a patient, he or she has to spend two hours with EHR’s (Wu, 2019). Artificial intelligence is not intended to replace the healthcare providers but the intention I to reduce the clerical burdens for having a more accurate treatment as well as diagnosis (Arndt, 2018).
Conclusion
It can be concluded that AI is one of the most
efficient technologies that has the potential to shape the current industry (Pifer,
2019). However it will definitely need time to demonstrate its effectiveness in
the world of healthcare.
References
Garage, Ruby (2019), Trends That Will Shape Industry in 2019, 5 Healthcare Technology Trends That Will Shape Industry in 2019 Rubygarage.org
Howlett, Kristen (2018), University of Minnesota Driven to Discover, Digital: Abilify Mycite College of Pharmacy
McGonigle, D., & Mastrian, K., G., (2019). Nursing Informatics and the Foundation of Knowledge (4th edition) Burlington, MA: Jones & Bartlett Learning
Pifer, Rebecca (2019), Healthcare Dive, Healthcaredive.com
Piper, Watty (2011), The Little Engine That Could, Wikipedia
Shaban, Arash – Nejad, Martin Michalowski & David Buckeridge (2018), Health Intelligence: How Artificial Intelligence Transforms Population and Personalized Health, NPI Digital Medicine 1, Article number: 53 (2018)
Suchi, Sara (2019), Artificial Intelligence in Healthcare, Machine Learning, Computational Health Informatics, John Hopkins University> suchisaria
Wu, Albert (2019), Solving Healthcare’s Big Epidemic- Physician’s Burnout, Forbes
