NUR 514 Emerging Technology Brief Assignment
New health care innovations offer the advanced registered nurse an opportunity to apply emerging technologies in practice to improve quality and patient outcomes. With the improvement in research and technology, healthcare systems continue to find the best possible ways to enhance care, treatment and
diagnosis processes (Le et al., 2018). Today, most of the hospitals and other healthcare institutions realizes productivity through emergence of different technological products. Artificial Intelligence (AI) is one of the emerging technology in the healthcare system. In other words, there is nothing quite exciting as artificial intelligence with all the opportunities surrounding it. To ensure efficiency in the 21st century medicine, it is the best time to utilize artificial intelligence. The purpose of this paper is to discuss Artificial Intelligence as an emerging technology in the healthcare system.
The application of artificial intelligence in the healthcare industry is expected to grow rapidly at the rate of 40% through 2021 to 6.6 $billion from $600 million in the year 2014 (Boenink, Van Lente, & Moors, 2016). AI machines can mitigate and reduce risks of preventable medical situations in different ways. They can identify people at high risks or in critical conditions by discovering patients who are in need of immediate attention and thereafter trigger medical alerts to enhance custom care plans. They can also automate reminders which can enable patients take their medications within the stipulated timeframe. Also, the AI can deliver personalized medical dosage recommendations in line with an individual’s body chemistry as well as the related environmental factors. Currently, there are always some medication errors (Richins, 2015). In other words, the prescribed drugs may not react well with in individual’s immune system, leading to more complications.
Artificial Intelligence machines are programmed to understand patient’s body system as well as the complications associated with it. Unlike the current systems where samples of blood have to be taken for laboratory tests, AI can detect diseases and body complications all at once; it is easy to envisage a unique health care world where there is the use of Artificial Intelligence (IA) that can analyze the patient population and undertake treatment processes (Silva et al., 2015). United States’ hospitals and physicians still exist in the digital dark ages when it comes to the application of the newest computerized devices as well as the internet services to deliver healthcare services.
Artificial Intelligence will mostly function in the healthcare system to reduce the medical errors and quickly deliver medication and treatment processes so as to avoid unnecessary deaths at emergency rooms. The implementation of artificial intelligence in the healthcare system will greatly reduce the number of healthcare workers (Daim et al., 2016). Also, it will require expertise in nursing informatics and computer technicians mainly the programmers and ICT experts. The implementation of AI in the healthcare settings may also come with unethical issues. For instance, there may be lack of consent from the patients to diagnose other diseases which may not be necessary. Also, the system may prescribe overdose and multiple drugs that may interact within the body to reduce efficiency in enhancing immune system. Emerging Technology Brief Assignment NUR 514
Artificial Intelligence will improve access to care and promote patient safety and quality in different ways. First, being an automated system. The process of treatment, medication, diagnosis, and surgery will be quick and accurate, a scenario that will reduce crowding of patients in different hospitals. Also, the patients will be able to obtain right diagnosis and accurate medications within the shortest time possible. In other words, the system may be helpful in emergency cases. With the accurately programmed system, patients will be sure of error-free prescription and other medical processes.
Boenink, M., Van Lente, H., & Moors, E. (2016). Emerging technologies for diagnosing Alzheimer’s disease: Innovating with care. In Emerging Technologies for Diagnosing Alzheimer’s Disease (pp. 1-17). Palgrave Macmillan, London.
Daim, T. U., Behkami, N., Basoglu, N., Kök, O. M., & Hogaboam, L. (2016). Healthcare technology innovation adoption. Innovation, Technology, and Knowledge Management.
Le, D. N., Van Le, C., Tromp, J. G., & Nguyen, G. N. (Eds.). (2018). Emerging technologies for health and medicine: virtual reality, augmented reality, artificial intelligence, internet of things, robotics, industry 4.0. John Wiley & Sons.
Richins, S. M. (2015). Emerging technologies in healthcare. Productivity Press.
Silva, B. M., Rodrigues, J. J., de la Torre Díez, I., López-Coronado, M., & Saleem, K. (2015). Mobile-health: A review of current state in 2015. Journal of biomedical informatics, 56, 265-272. Emerging Technology Brief Assignment NUR 514
Topic 6: Improving Access and Quality Care through Health Care Informatics and Health IT
1. Analyze the role of health information technology and informatics in improving access to care and promoting patient safety and quality.
2. Analyze the critical role of health information and technology standards and interoperability in improving access to care and the exchange of health information.
3. Discuss best practice for implementing informatics technologies that impact advanced practice nursing and the delivery of care, including clinical provider order entry (CPOE) and clinical decision support systems (CDSS).
4. Evaluate the role of workflow analysis, human factors, and user-centered design concepts in developing health information technologies.
Advanced Practice Nursing: Essential Knowledge for the Profession
Read Chapters 12-14 in Advanced Practice Nursing: Essential Knowledge for the Profession.
Nursing Informatics and the Foundation of Knowledge
Read Chapters 2, 9-11, and 13 in Nursing Informatics and the Foundation of Knowledge.
EMR vs EHR – What Is the Difference?
Read “EMR vs EHR – What Is the Difference?” by Garrett and Seidman (2011), located on the Health IT Buzz website.
What’s the Difference Between Health Informatics and Health Information Management?
Read “What’s the Difference Between Health Informatics and Health Information Management?” by the College of St. Scholastica (2019), located on the college’s website.
Read “Quality Measures,” located on the Centers for Medicare and Medicaid Services (CMS) website (2016).
Writing an Issue Brief
Read “Writing an Issue Brief,” located on the American Association of Colleges of Pharmacy (AACP) website (2016). This resource will help you complete the Topic 6 assignment.
The Mechanics of Writing a Policy Brief
Read “The Mechanics of Writing a Policy Brief,” by DeMarco and Tufts, from Nursing Outlook (2014). This resource will help you complete your Topic 6 assignment.
A Usability Study to Improve a Clinical Decision Support System for the Prescription of Antibiotic Drugs
Read “A Usability Study to Improve a Clinical Decision Support System for the Prescription of Antibiotic Drugs,” by Akloufi, Verhaegh, Jaspers, Melles, van der Sijs, and Verbon, from PLOS ONE (2019).
American Health Information Management Association (AHIMA)
Explore the American Health Information Management Association (AHIMA) website.
Agency for Healthcare Research and Quality
Explore the Agency for Healthcare Research and Quality (AHRQ) website.
American College of Nurse-Midwives Library
Explore the issue briefs available on the ACNM Library page of the American College of Nurse-Midwives (ACNM) website. This resource will help you complete your Topic 6 assignment.
Emerging Technology Brief
New health care innovations offer the advanced registered nurse an opportunity to apply emerging technologies in practice to improve quality and patient outcomes. For this assignment, research an emerging health care technology that you think has the potential to overcome current or emerging barriers to care.
Write a 500-750 word brief. Include the following:
1. Provide an overview of the emerging technology and its role/function in health care. Consider its potential for improving access to care and promoting patient safety and quality.
2. Describe ethical or legal issues that would accompany the incorporation of the technology.
3. Explain the nurse’s informatics role in regard to the technology. Provide examples of the roles and job functions.
4. Outline the role of workflow analysis, human factors, and user-centered design concepts for your chosen technology example.
Refer to the study materials for samples and resources to help you construct your brief.
You are required to cite three to five sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.
Complete the “APA Writing Checklist” to ensure that your paper adheres to APA style and formatting criteria and general guidelines for academic writing. Include the completed checklist as an appendix at the end of your paper.
Prepare this assignment according to the guidelines found in the APA 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 LopesWrite. A link to the LopesWrite technical support articles is located in Course Materials if you need assistance.
Emerging Technologies Brief SAMPLE 2
One of the emerging technologies that the author believes will have a significant impact on barriers to healthcare is the Internet of Medical Things (IoMT). Accordingly, IoMT refers to medical infrastructure that consists of software, sensors, healthcare IT systems and medical devices that are utilized in medical monitoring, testing, as well as diagnostics. The use of this infrastructure can help the healthcare provider a well as the patient to monitor and inform them on the actual data on potential issues that could result in health problems. Through it, potential health problems are averted before they occur (Balas et al., 2019). An example is the use of skin sensors for blood glucose where diabetic patients are installed with sensors that monitor their blood glucose levels. The sensors notify the patient and healthcare provider incidences of low or high blood glucose levels and the need for an immediate action. In some cases, the sensors deliver insulin depending on the blood glucose levels. Through this mechanism, health problems such as diabetic coma and hypeglycemia and prevented prior to their occurrence in patients suffering from diabetes.
The other way in which the technology could function in healthcare is the management of health problem that affect the elderly populations. The elderly are at a risk of problems such as cardiovascular, renal, and respiratory and memory loss problems. The technology proves significant to these populations. For instance, sensors can be used to monitor their blood pressure and immediate actions taken in case of any deviations from the normal range (Stegemann, 2016). Similarly, they can be used to monitor their adherence to medication and notifications sent to them in cases where they forget their medical regimen.
The use of IoMT technology in health is however associated with some legal and ethical issues. One of them is the issue of privacy. Scholars argue that the use of such emergent technologies might violate one’s right to privacy. The system information can be accessed by third parties, thereby, weakening their use in the modern world. The other issue is safety concern. The long-term effects of the monitors are yet to be established. There is the concern that too much monitoring might be unhealthy as it raises individual focus on slight health issues that might be of less concern to them (Keramidas, Voros & Hübner, 2017). Therefore, these issues need to be addressed for the emerging technologies to be relevant in the modern practice of healthcare.
IoMT will improve access to care and patient safety in several ways. Firstly, it ensures that the patient and healthcare provider interact constantly on healthcare issues affecting them. The healthcare provider will always be in contact with the patient in case of a notification of an impending health problem (Le et al., 2018). The access to care is also enhanced due to the efficiency in which decisions are made. The easy availability of the patient’s data ensures that healthcare providers can collaborate with ease in determining the healthcare needs of the patients. The monitoring of the patient’s physiological status also promotes safety since health problems are identified before they occur. Besides, incidences of poor adherence to treatment are identified earlier, which leads to minimal occurrences of complications associated with the conditions being managed (Vermesan & Bacquet, 2017). Therefore, it makes it apparent that emerging technologies such as IoMT will eliminate barriers that affect the quality, access, and safety of care given to those in need in the society.
Balas, V. E., Solanki, V. K., Kumar, R., & Ahad, A. R. (2019). A handbook of internet of things in biomedical and cyber physical system. Cham: Springer.
Keramidas, G., Voros, N., & Hübner, M. (2017). Components and services for IoT platforms: Paving the way for IoT standards. Cham: Springer.
Le, D.-N., Le, C. V., Tromp, J. G., Nguyen, N. G., & Wiley InterScience (Online service). (2018). Emerging technologies for health and medicine: Virtual reality, augmented reality, artificial intelligence, internet of things, robotics, industry 4.0. Beverly, MA: Scrivener Publishing.
Stegemann, S. (2016). Developing drug products in an aging society: From concept to prescribing. Cham: Springer International Publishing.
Vermesan, O., & Bacquet, J. (2017). Cognitive hyperconnected digital transformation: Internet of things inteligence evolution. Delft: River Publishers.
Humans have a finite amount of brain power, and with individual attention spans and abilities paired with external stressors, the rushed environment of a busy day caring for patients, and a myriad of other potential stressors, the human brain is prone to error. With the shift to computerized systems in healthcare, we are able to pair together the strengths of the human brain with the strengths of a computerized system that does not tire, which in turn can lead to safer, higher quality care (DeNisco & Barker, 2016). Computerized provider order entry systems (CPOEs) take away the need for providers to physically handwrite an order, have that order transcribed by a middleman, and then translated to the care team (McGonigle & Mastrian, 2018). Instead, providers are able to input their orders into a digital system, complete with clinical decision support systems (CDSSs) safeguards and alerts to catch any potential errors (DeNisco & Barker, 2016).Take for instance, an on call attending emergently called in the middle of the night for a quickly unravelling situation where many orders are needed as quickly as possible. The provider, tired and potentially missing vital information in the moment, calculates a medication and writes the order. A paper order would not catch that the dose was off by a power of 10, but the computer immediately catches the potential miscalculation and the provider corrects it. In seconds, a medical error is avoided, thanks to the collective brainpower of the provider and the computer working together.One challenge that can arise out of CPOEs and CDSSs is that they can sometimes keep providers from writing orders that are necessary. In the NICU we oftentimes have orders that would not be safe or relevant for adult populations that are vital to the care of our preemies. The inflexibility of CPOEs and CDSSs can sometimes cause frustration when we cannot have our orders the way we want them. On my unit, this is a particular issue with diet orders. Babies cannot have their diet order as “clear fluid” or “full liquid” diet—it’s not specific enough, and not relevant to their nutritional needs. The computer prevents our providers from writing the orders with the nuances specificity needed, which then requires comments, linked orders, several extra phone calls for order updates, and clutter within the order sets.When combining the nuanced brain power of a human with the tireless, detail-obsessed computer, greater safety and quality is achieved. Other barriers, such as the inflexibility of systems, may arise, but there will always be the flexibility and creativity of the human mind to balance out the much-needed rigidity of the computer.DeNisco, S.M., & Barker, A.M. (2016). Advanced practice nursing. Essential knowledge for the profession (3rd ed.). Burlington, MA: Jones & Bartlett Learning.McGonigle, D., & Mastrian, K. G. (2018). Nursing informatic and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
Re: Topic 6 DQ 1
Healthcare informatics has become the newest way for healthcare providers to communicate and collaborate in regards to patients’ and their plans of care. Nursing informatics is a “specialty that integrates nursing science, computer science, and information science to manage and communicate data, information, knowledge and wisdom in nursing practice” (DeNisco & Barker, 2016, p. 373). Informatics is also used by the healthcare providers to overcome current emerging barriers as well. Some barriers may be location based, language-based or time based. Information structures, information processes in addition IT help to contribute to this platform of informatics. The goal of informatics is to improve the overall health of populations, communities, and families and optimize information management and communication (DeNisco & Baker, 2016).
Through the use of technology and computerized provider order entry (CPOE) providers are able to care for and prescribe patient services electronically (Charles et al., 2014). This allows for fewer errors as options for medications and test are often selected from a preexisting list, not handwritten. The room for error becomes minimized. Also clinical decision support systems (CDSS) help to support providers in their medical decision-making. Unfortunately, both CPOE and CDSS leave out the human aspect and interaction. There are times when patients and their plan of care does not fall into a specific algorithm. At times, a human discussion may need to occur to provide better care for these patients. The use of technology can have so many advantages, but it lacks the human touch which is often so necessary to heal and care for our patients.
Charles, K., Cannon, M., Hall, R., Coustasses, A. (2014). Can utilizing a computerized provider order entry (CPOE) system prevent hospital medical errors and adverse drug events?. Perspect Health Inf Manag. 2014;11(Fall):1b. Published 2014 Oct 1.
DeNisco, S.M., & Baker, A.M. (2016). Advanced practice nursing: essential knowledge for the profession. Burlington, MA: Jones &Bartlett Learning.
Re: Topic 6 DQ 2
Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) are not the same. Though they are only one letter apart, EMRs and EHRs actually have very different functions. Both are digital programs that house patient information, thus greatly decreasing the reliance on physical paper copies. Both can be used for data tracking and as a tool to ensure patients are receiving proper preventative care, such as immunizations and screenings (Garrett & Seidman, 2011).
An EMR is a digitized version of a patient’s medical chart from one specific facility. It includes provider notes, diagnoses, and treatments, all of which occurred at that one clinic in particular (Garrett & Seidman, 2011). EMRs are not easily transferrable to other facilities, however, and often may need to be physically printed out for the information to be shared outside of the clinic/facility (Garrett & Seidman, 2011). Emerging Technology Brief Assignment NUR 514
While an EMR focuses on the “medical” aspect, an EHR focuses on “health” as a whole, which is a much broader view (Garrett & Seidman, 2011). EHRs can do everything an EMR can do, and more. They can house information not just from one specific clinic or facility, but from all providers a patient may see, providing a holistic look at the patient’s care as a whole (Garrett & Seidman, 2011). Information can be shared between facilities without the cumbersome process of printing and faxing, providers can collaborate with confidence knowing they’re seeing the same information, and the EHR moves with the patient wherever they go (Garrett & Seidman, 2011).
There are more than 800 certified commercial EHRs for inpatient facilities (DeNisco & Barker, 2016). A commonly used EHR is Epic, which is what my hospital system just switched to, from Cerner/ORCA. We made the switch to Epic for our inpatient facilities because our outpatient clinics were already using it, and Epic and Cerner did not share information with each other. While switching to Epic was not a smooth transition and we are still working through ongoing issues months later, it was a move made in the name of interoperability and patient quality and access to care. Having out outpatient and inpatient systems talk to each other provides invaluable information when a patient finds themselves inpatient. Providers and care teams can be confident that they see the holistic picture of the patient’s medical care, instead of having to fill in holes in records and spend time piecing together the history.
DeNisco, S.M., & Barker, A.M. (2016). Advanced practice nursing. Essential knowledge for the profession (3rd ed.). Burlington, MA: Jones & Bartlett Learning.
Garrett, P., & Seidman, J. (2011). EMR vs EHR—what is the difference? The Office of the National Coordinator for Health Information Technology. https://www.healthit.gov/buzz-blog/electronic-health-and-medical-records/emr-vs-ehr-difference
Name: Assignment Rubric
|Summarize your interpretation of the frequency data provided in the output for respondent’s age, highest school grade completed, and family income from prior month.||32 (32%) – 35 (35%)
The response accurately and clearly explains, in detail, a summary of the frequency distributions for the variables presented.
The response accurately and clearly explains, in detail, the number of times the value occurs in the data.
The response accurately and clearly explains, in detail, the appearance of the data, the range of data values, and an explanation of extreme values in describing intervals that sufficiently provides an analysis that fully supports the categorization of each variable value.
The response includes relevant, specific, and appropriate examples that fully support the explanations provided for each of the areas described.
|28 (28%) – 31 (31%)
The response accurately summarizes the frequency distributions for the variables presented.
The response accurately explains the number of times the value occurs in the data.
The response accurately explains the appearance of the data, the range of data values, and explains extreme values in describing intervals that provides an analysis which supports the categorization of each variable value.
The response includes relevant, specific, and accurate examples that support the explanations provided for each of the areas described.
|25 (25%) – 27 (27%)
The response inaccurately or vaguely summarizes the frequency distributions for the variables presented.
The response inaccurately or vaguely explains the number of times the value occurs in the data.
The response inaccurately or vaguely explains the appearance of the data, the range of data values, and inaccurately or vaguely explains extreme values.
An analysis that may support the categorization of each variable value is inaccurate or vague.
The response includes inaccurate and irrelevant examples that may support the explanations provided for each of the areas described.
|0 (0%) – 24 (24%)
The response inaccurately and vaguely summarizes the frequency distributions for the variables presented, or it is missing.
The response inaccurately and vaguely explains the number of times the value occurs in the data, or it is missing.
The response inaccurately and vaguely explains the appearance of the data, the range of data values, and an explanation of extreme values, or it is missing.
An analysis that does not support the categorization of each variable values is provided, or it is missing.
The response includes inaccurate and vague examples that do not support the explanations provided for each of the areas described, or it is missing.
|Summarize your interpretation of the descriptive statistics provided in the output for respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month.||45 (45%) – 50 (50%)
The response accurately and clearly summarizes in detail the interpretation of the descriptive statistics provided.
The response accurately and clearly evaluates in detail each of the variables presented, including an accurate and complete description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.
|40 (40%) – 44 (44%)
The response accurately summarizes the interpretation of the descriptive statistics provided.
The response accurately explains evaluates each of the variables presented, including an accurate description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.
|35 (35%) – 39 (39%)
The response inaccurately or vaguely summarizes the interpretation of the descriptive statistics provided.
The response inaccurately or vaguely evaluates each of the variables presented, including an inaccurate or vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data.
|0 (0%) – 34 (34%)
The response inaccurately and vaguely summarizes the interpretation of the descriptive statistics provided, or it is missing.
The response inaccurately and vaguely evaluates each of the variables presented, including an inaccurate and vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data, or it is missing.
|Written Expression and Formatting – Paragraph Development and Organization:
Paragraphs make clear points that support well-developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused—neither long and rambling nor short and lacking substance. A clear and comprehensive purpose statement and introduction is provided which delineates all required criteria.
|5 (5%) – 5 (5%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity.
A clear and comprehensive purpose statement, introduction, and conclusion is provided which delineates all required criteria.
|4 (4%) – 4 (4%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 80% of the time.
Purpose, introduction, and conclusion of the assignment is stated, yet is brief and not descriptive.
|3 (3%) – 3 (3%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 60%–79% of the time.
Purpose, introduction, and conclusion of the assignment is vague or off topic.
|0 (0%) – 2 (2%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity < 60% of the time.
No purpose statement, introduction, or conclusion was provided.
|Written Expression and Formatting – English writing standards:
Correct grammar, mechanics, and proper punctuation
|5 (5%) – 5 (5%)
Uses correct grammar, spelling, and punctuation with no errors.
|4 (4%) – 4 (4%)
Contains a few (1 or 2) grammar, spelling, and punctuation errors.
|3 (3%) – 3 (3%)
Contains several (3 or 4) grammar, spelling, and punctuation errors.
|0 (0%) – 2 (2%)
Contains many (≥ 5) grammar, spelling, and punctuation errors that interfere with the reader’s understanding.
|Written Expression and Formatting – The paper follows correct APA format for title page, headings, font, spacing, margins, indentations, page numbers, parenthetical/in-text citations, and reference list.||5 (5%) – 5 (5%)
Uses correct APA format with no errors.
|4 (4%) – 4 (4%)
Contains a few (1 or 2) APA format errors.
|3 (3%) – 3 (3%)
Contains several (3 or 4) APA format errors.
|0 (0%) – 2 (2%)
Contains many (≥ 5) APA format errors.
|Total Points: 100|
Name: Assignment Rubric