Unit (Answered) 6 Assignment: Analysis of a Technology/System Application Presentation

Unit (Answered) 6 Assignment: Analysis of a Technology/System Application Presentation

Unit (Answered) 6 Assignment: Analysis of a Technology/System Application Presentation 150 150 Prisc

Unit 6 Assignment: Analysis of a Technology/System Application Presentation


In this course, you learned rapidly changing technologies have a drastic impact on nursing and healthcare. During this course both current and emerging technologies support safety practice environments have been addressed. These technologies can optimize patient safety, cost-effectiveness, and health outcomes.

For the assignment, you are to propose either a change to an existing technological tool/advance/innovation used in a healthcare system or propose a new one related to nursing. Some ideas include, but are not limited to:

  • Artificial intelligence
  • Telemedicine
  • vein finders
  • blood analyzers
  • cloud
  • automated medication administration systems
  • block chains

Remember, it is through technology in healthcare, care is reshaped. Care is transformed not only in the hospital setting, but in the rural settings as well.

As you are building the presentation, imagine presenting the change to the board of organizational healthcare stakeholders for approval. With a formal presentation, the usage of speaker notes is necessary. The speaker notes include the information not included on the slide. The same writing requirements are applied to the speaker notes. Please include any relevant citations in APA format. Each slide should contain speaker notes with adequate information for presentation purposes.

The PowerPoint presentation should include the following:

  • Be 15-20 slides in length, not including the title slide and reference slides.
    • The title slide should list the name of the protocol, the date, and the name of the assignment.
    • The reference slides should provide all references in APA format.
  • Each slide should include speaker notes with appropriate APA format.
  • Slides ideas might include: introduction, history, literature review, need, proposal idea, implementation strategies, evaluation ideas, financial implications, conclusion.
  • A minimum of five recent (within the last 5 years), scholarly, peer-reviewed articles are required.

Select professional backgrounds, coloring, and fonts. No more than two slides should be visuals. Pictures, charts, and visual may be used but should be used to accentuate the content not replace it. Clip art and animation is encouraged to enhance the presentation.

Pictures, charts, and visual may be used but should be used to accentuate the content not replace it.

Sample Answer

Artificial Intelligence in Nursing


  • Artificial intelligence (AI) refers to intelligence demonstrated by different types of man-made machines.
  • Artificial intelligence, therefore, differs from natural intelligence, which is displayed by animals and humans.
  • Through artificial intelligence, different machines are able to imitate some level of cognitive functions that are associated with natural intelligence displayed by humans and animals, such as problem-solving and teach (Amisha et al., 2019).

Notes: Artificial intelligence, which is also referred to as machine intelligence in computer science, is simply the intelligence that machines demonstrate. Artificial intelligence makes machines imitate cognitive functions associated with beings that have natural intelligence, such as human beings and animals. For example, artificial intelligence machines can solve problems or learn (Amisha et al., 2019).

Types of artificial intelligence 

There are three main types of artificial intelligence which include:

  • Superintelligence
  • Weak artificial intelligence
  • Strong artificial intelligence (Sunarti et al., 2021)

Notes: Superintelligence is AI that surpasses the intelligence of the most gifted of brightest human minds. Superintelligence is, therefore, able to improve its functioning as a result of recursive self-improvement (Sunarti et al., 2021). On the other hand, strong AI is AI that allows machines to apply intelligence to any problem as opposed to just a specific problem. Strong AI is, therefore, equal intelligence of a typical human being. Finally, weak artificial intelligence is normally focused on specific and narrow tasks and is non-sentient in nature (Sunarti et al., 2021).

History of artificial intelligence in Healthcare 


  • Artificial intelligence term coin by John McCarthy.
  • AI discipline was established in 1956 in the US.


  • Production Of the first problem solving program in Healthcare settings known as  Dendral.
  • The Dendral System assisted in identifying various bacteria and recommending different antibiotics (Secinaro et al., 2021).

Notes: As a discipline of artificial intelligence, the origin of artificial intelligence can be traced back to the 1950s in the US.   Artificial intelligence continued to progress in the 1960s and 70s in the healthcare industry with the development of a general system that helps identify bacteria and antibiotics and various problem-solving programs in healthcare facilities (Secinaro et al., 2021).

History of artificial intelligence in Healthcare contd.

1980s- 1990s

  • Advancements in microcomputers and new levels of network connectivity.
  • Beginning of designing artificial intelligence systems in various healthcare settings based on expertise of health caregivers.

2010- 2019

  • Integration of artificial intelligence  in electronic health records
  • Emergence of genome sequencing databases
  • Emergence of robot assistance in surgery
  • Computer Vision and natural language processing in healthcare (Secinaro et al., 2021)

Notes: At the turn of the millennium, artificial intelligence advanced significantly with AI being integrated with electronic health record systems and the onset of other developments such as robot-assisted surgery and genomic sequencing. In the present times, AI is at the center of enabling personalized healthcare (Secinaro et al., 2021).

Role of artificial intelligence in health

In contemporary times, artificial intelligence is transforming healthcare in various areas including:

  • Early detection
  • Diagnosis
  • Decision making
  • Treatment
  • End-of-life care
  • Research
  • Training
  • Keeping well (Laï et al., 2020).

Notes: Various artificial intelligence-based advancements have been witnessed in healthcare in contemporary times. Most of these advancements, including the use of artificial intelligence in early detection, diagnosis, decision-making treatment, end-of-life care, research, training, and keeping well, are the foundational stages and require more development (Laï et al., 2020).

Keeping well 

  • Artificial intelligence is at the center of maintaining health among individuals in modern days.
  • AI is powering personal healthcare devices such as wearable health trackers and smartwatches.
  • Consistent adoption of AI-based technologies such as applications to encourage healthier behavior in individuals is being witnessed currently.
  • AI helps in the proactive management of a healthy lifestyle in individuals.
  • AI makes healthcare providers better understand patients and care for them on a day-to-day basis (Davenport & Kalakota, 2019).

Notes: Contemporary times have seen rapid development in artificial intelligence and the application of artificial intelligence to encourage healthier behaviors in populations and proactive ways of managing a healthier lifestyle (Davenport & Kalakota, 2019). Artificial intelligence also allows healthcare professionals to understand their patients better through feedback support and guidance.AI is also powering wearable health technology that is allowing the monitoring of patients and encouraging a healthy lifestyle (Davenport & Kalakota, 2019).

Early detection

  • Artificial intelligence is being used to detect diseases such as cancer in early stages more accurately.
  • Artificial intelligence helps to improve the accuracy of disease detection tools which plays a significant role in avoiding misdiagnosis.
  • The development of programs such as Google’s deep mind health is helping researchers, clinicians, and other health care providers to detect and solve healthcare problems across the world (Chen & Decary, 2019).

 Notes: The advancement of artificial intelligence is helping in the early detection of diseases that were initially harder to diagnose. For instance, artificial intelligence is assisting in the early detection of cancer cases and therefore helping to save the lives of patients and cutting costs that could have been utilized in the treatment of patients (Chen & Decary, 2019).