Assignment 1 Collaborative Learning Community: Technology Advancements Presentation
Details:
This is a CLC assignment.
Collaborative Learning Community (CLC) groups were created by the instructor in Topic 2. The instructor will observe the participation within the CLC discussion forums, so all materials and communication should be exchanged in the CLC forum between team members. Individuals not participating may lose points at the end of the assignment.
The purpose of this assignment is to focus on identifying a technology around treatment advancements, administrative efficiencies, or patient service. Understanding the use of technology and telehealth in health care is vital as this is certainly the future of health care.
As a team, you need to select a single technology as the topic for this assignment.
PowerPoint Presentation
In your CLC group, prepare a 12-15 slide PowerPoint presentation, with speaker notes, that addresses the following:
What areas of health care are impacted by the selected technology?
What are the cost and benefits of the selected technology?
What is the selected technology’s impact on cost, access, and quality?
Could the selected technology lead to cultural disparities? Explain your reasoning.
What are the financial implications of the selected technology?
Is the selected technology leading to more efficient health care? Justify your reasoning.
Include an introduction that hightlights the major points of the presentation, a conclusion, and a references slide. Cite a minimum of four credible references in addition to the course textbook.
Deliver the sequence of content in an organized manner.
While GCU style format is not required for the body of this assignment, solid academic writing is expected, and in-text citations and references should be presented using GCU documentation guidelines, which can be found in the GCU Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.
MORE INFO
Technology Advancements in Health
Introduction
Health care is undergoing a transformation. We’re seeing more and more advances in health care technology, with artificial intelligence (AI) playing a major role in how we diagnose diseases and treat patients. In this article we’ll look at some of these exciting new technologies that are changing how doctors work with patients.
Wound Healing and Treatment
Artificial intelligence can help improve wound healing, treatment and diagnosis.
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Wound Healing: A wound that is not properly treated can cause infection and lead to chronic problems. If you have a chronic wound such as pressure ulcers or neuropathic pain, AI could be used to monitor your progress over time so that you get the right treatment at the right time.
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Treatment: A doctor might prescribe an antibiotic for a bacterial infection when they think it will work best for them (i.e., antibiotics might work better on certain types of bacteria than others). However, doctors do not always know which type of antibiotic will work best for each patient until after they’ve taken all necessary steps such as taking X-rays and having lab tests done on their blood samples; then they need someone else who knows more about medicine than most doctors ever will—which means there’s still room here! More accurately stated: this means that artificial intelligence could make sure there aren’t any unnecessary treatments being administered when no one really knows how best to treat someone yet!
Blood Pressure Monitoring
Blood pressure monitoring is a way to check your blood pressure. If you have high blood pressure, this device can help detect it and provide treatment if necessary. If you are being treated for high blood pressure, it’s important to monitor your progress so that the medication is effective.
Blood pressure monitors are available at pharmacies or online via Amazon or other retailers such as Target. They’re also affordable!
Virtual Health Care
Virtual health care is a way to provide medical care to patients at home. It can be used to treat people with chronic conditions, such as diabetes or heart disease, who may not be able to travel outside of their own community for treatment. This type of technology also allows doctors and other providers complete control over their patients’ health data so that they can monitor their conditions and make any changes necessary on an ongoing basis—or even intervene before the patient develops an issue in order prevent it from happening at all costs!
Virtual health care has been around for decades but has only recently become more widely accepted by the public due to its convenience factor: no longer do you need someone else’s help getting up off the couch when your chest pains start up again (or worse yet—your doctor tells them off). Instead, just log onto your phone/computer/whatever device connected online using Wi-Fi or Bluetooth technology which will automatically send out alerts if something goes wrong while away from home.”
Genomic Data Analysis and Storage
Genomic data analysis and storage is the process of storing and analyzing genomic data. This field of medicine uses genome-scale biological information to identify genetic diseases, monitor health conditions, and improve diagnosis.
Genomic data analysis can be used in many different fields including:
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Cancer genomics – The study of cancer genomes using high-throughput sequencing technology can help researchers understand how cancers develop over time; this knowledge could lead to better treatments for individual patients by allowing them access to personalized medicine.
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Population genomics – Population genetics studies how genes are inherited from parents, grandparents or other relatives through DNA sequences that pass down genes from generation to generation (e.g., mitochondrial DNA). This type of research has helped scientists understand some traits such as height or skin color among humans!
Artificial Intelligence in Medicine
Artificial intelligence is being used to help doctors make better decisions. AI can help doctors to identify patterns in medical data and make more accurate diagnoses, predict disease outcomes, improve patient care and even do things like assist with surgery or other procedures.
AI is particularly useful for analyzing large sets of data to find patterns that may not be obvious at first glance. For example, if you take a picture of your foot every day over several weeks (or months), an algorithm might be able to detect an abnormal growth on the bottom of your big toe—something that could indicate something like cancer or diabetes down the road if left untreated
Contact Lenses for Glaucoma
Contact lenses are an effective treatment for certain eye diseases, including glaucoma. The lens is placed in the eye and blocks the passage of fluid out of it. This reduces pressure on the optic nerve, which can lead to vision loss if left untreated.
Contact lenses can also be used to treat infections in your eyes and injuries such as corneal scratches or abrasions (if you wear contacts while doing sports). In addition, they provide protection against UV rays that may cause damage over time.
Takeaway:
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Artificial intelligence in medicine: A growing number of companies are using artificial intelligence to improve the quality of patient care. For example, researchers at Stanford University have developed a machine learning algorithm that can detect signs of stroke by analyzing brain activity from MRI images. This technology could enable doctors to diagnose strokes earlier, allowing them to administer treatment before permanent damage occurs.
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Genomic data analysis and storage: Scientists have also used artificial intelligence to analyze genomic data (the sum total of our genes) in order to predict how people will respond to certain treatments based on their own genetic makeup as well as their environment. This could help doctors make more informed decisions about how best treat patients with certain conditions or diseases such as cancer or diabetes mellitus (a condition where your body doesn’t produce enough insulin). In addition, scientists are working on ways for doctors themselves – rather than having them rely solely upon lab results – access detailed information about patients through smartphones so they can monitor their health status remotely without needing additional equipment like machines needed when dealing with traditional laboratory tests.”
Conclusion
We have seen the future of health care, and it is looking bright. With continued development in all facets of medicine, we will be able to help more and more people with their health needs.
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