Tuesday, March 3, 2020

Research on Augmented Reality in nursing still in its infancy

Research on Augmented Reality in nursing still in its infancy

The use of Augmented Reality, such as that used in the widely popular video game Pokemon Go, has recently expanded within education, medicine, video games, and many other fields.In this blog post, Let's take a new review of Augmented Reality in nursing, discuss why they chose to focus on this field and what they found.

Augmented Reality
In recent years, there has been an increase in the development of innovative digital technology, including Augmented Reality (AR). AR is the overlaying of virtual content on a user’s view of the real world. Cases supporting the use of AR smart glasses exist if an application is needed to be timely, mobile, and hands-free and continuous attention on the task is necessary. For example, in maintenance a worker could use a smart glass with a live-streaming feature to get advice of technicians, including watching demonstrations, while doing the work. Because of the novelty of AR applications, we find ourselves at an interesting waypoint in the process of finding further use cases for AR.

Why think about Augmented Reality in nursing?
Nursing is an interesting field in which to apply AR, as nurses often have to work quickly, stay mobile, and have both their hands available for their work. Furthermore, new challenges in the nursing field, such as demographic change and rising multimorbidity, invite the use of new technologies. Technical solutions and social innovation may improve healthcare; however, it is important to take the special circumstances of care workers into consideration.
Overviews regarding use cases of AR have been published for various fields. As there was no systematic review about AR in nursing, it was the logical step to conduct this work ourselves. With the review we aimed to gain insights to the following research question:

To date, what research has been performed regarding the use of AR in nursing?

Methodical challenges
As we had a broad research question without concrete output categories, in the beginning we were not able to conduct a systematic review. Thus, we started looking for a type of review which allowed identifying relevant result categories during the process.
"New use cases for AR in nursing … will need to be evaluated with a focus on added value first and impact afterwards."
Furthermore, addressing the study quality was a challenging task. To date only a few studies on AR in nursing exist. Therefore, we decided to include studies of varying quality. Finally, we decided to conduct a scoping review. This review type allows the kinds of freedom we needed to identify relevant topics.
As we followed the guidelines for scoping reviews, we still faced the task of identifying relevant topics inductively. To get an overview about topics mentioned in the studies we used a mindmap.

What did we find?
We found 23 studies identifying use cases for AR in nursing. Use cases for AR in nursing focus on specific fields of use, and use case identification and requirements elicitation were often not described in detail. In addition, we identified that the results of studies evaluating AR in nursing were predominantly positive; however, several technical challenges were described for most of these devices. Moreover, most applications could be identified as prototypes in an early stage of implementation.
The settings in which the studies operated are noteworthy. While twelve studies could be grouped into a broad clinical setting with variation in use cases, eleven studies were set in the field of nursing education. We found that many studies focused on obtaining knowledge on the applications developed instead of the effects of technology inclusion on nursing. No studies questioned the clinical relevance of their results.
Considering context while evaluating applications would be an important goal for future research. This could be achieved through performing field trials.
For future development trends, we infer that further technological advances will lead to new use cases for AR in nursing. These may be developed rapidly and will need to be evaluated with a focus on added value first and impact afterwards.

Monday, March 2, 2020

How artificial intelligence is changing nursing

How artificial intelligence is changing nursing

Artificial intelligence (AI) is often described as the new electricity. Just as the invention of electricity transformed the way we live, work, and play, AI is poised to transform the world we live in. By 2025, research predicts that global AI healthcare spending will equal $36.1 billion.In 2017, China announced its goal to become a global leader in AI by 2030. And on February 11, 2019, the US issued the executive order Maintaining American Leadership in Artificial Intelligence, directing all federal government agencies to implement strategic objectives aimed at accelerating AI research and development.With technology investments of this magnitude and extensive government programs to advance AI, healthcare teams will be significantly impacted as innovations such as intelligent robots are launched into healthcare and patient home settings. This article provides an overview of AI, including how AI algorithms and robots are changing the nurse's role and challenges facing the nursing profession as AI is integrated into healthcare delivery.

AI isn't a new technology. Its roots began in 1956 when Stanford University computer scientist John McCarthy coined the term while leading the Dartmouth Summer Research Project. Since then, the AI field has experienced many ups and downs.Historically, we didn't have the computational power and supporting technologies to process vast amounts of data, which caused doubt in AI's ability to ever deliver on expectations. Beginning in 2011, the field started to see leaps in progress, with advances in computer processing capabilities, access to large data sets needed to train AI systems and the ability to process them, and discoveries in algorithm designs that are the foundation for AI processing. (See Algorithms—the building blocks of AI.) An example is the successful use of graphics processing unit chip technology, originally designed for the gaming industry, to help accelerate the development of AI applications in self-driving vehicles and healthcare. This technology brought new processing power to computer scientists at a reasonable cost, opening up opportunities for AI experimentation. Also in 2011, computer scientist Andrew Ng proved that computers can learn what an object is without being told what it represents. His research used 10 million online videos of cats; over time, the computer learned what a cat was. This breakthrough technology is used today in speech recognition systems.

A literature search reveals that there are a variety of AI definitions, with some more focused on technologic attributes whereas others describe human aspects of intelligent machines. A description of AI by Sara Castellanos, technology writer for The Wall Street Journal, captures the essence of what it aims to deliver: “Artificial intelligence encompasses the techniques used to teach computers to learn, reason, perceive, infer, communicate, and make decisions similar to or better than humans.”4 AI isn't one technology, but rather a collection of technologies that perform various functions depending on the task or problem being addressed. Often when people refer to AI, they're speaking about one or more of these computing technologies that you may already be using in your work for functions such as staffing optimization or at home for functions such as thermostat and lighting control.

A term used interchangeably with AI is cognitive technology, such as the famous Watson computer that won the Jeopardy! Challenge in 2011. Following this success, Watson was trained in 13 different types of cancer by experts at Memorial Sloan Kettering Cancer Center. One function of Watson is to rank evidence and provide patient-relevant, evidence-based treatment options. Vice President of IBM Analytics Steven Astorino describes cognitive computing as the “ability of computers to simulate human behavior of understanding, reasoning, and thought processing.”

Machine learning is a frequently used technology in which computers act intelligently on a specific task or problem without being explicitly programmed. The computer uses algorithms to derive knowledge from data and interprets data for itself. As more data are presented to the machine learning application, the computer learns from the data and corrects outputs. Machine learning can be supervised, unsupervised, semi supervised, or reinforcement learning depending on the kind of data being input into the program and the type of outputs that can be expected.

Another term encountered in AI is deep learning—a subset of machine learning. This computer science approach involves networked algorithms called neural networks because the inspiration for their creation was how neurons are networked in our brain. In deep learning, a set of mathematical instructions such as an algorithm, which is called a node, works like a neuron to fire the algorithm, process it as instructed, and pass its information to another node in the computer. That algorithm is then used as input by another node in the neural network. Data move through the nodes in a direction specified by the algorithm. A deep learning model can contain billions of nodes embedded in many layers. For context, Ng's model for computers learning to identify cats contained over 1 billion connections.
How are nurses using data generated by smart algorithms?
    Yale New Haven Hospital (YNHH) nursing was an early adopter of the Rothman Index, a tool that reflects patient acuity and risk.8 Director of Nursing Professional Practice Dr. Judith Hahn, Strategic Analytics Innovation Scientist Dr. Joan Rimar Sr., and Clinical Informatics Manager Leslie Hutchins highlighted what it takes to introduce new algorithms into nursing and interprofessional practice. In a personal communication, Hutchins described the goal of YNHH technology implementations as “providing the right advisory, at the right time, so we can look at what's meaningful information to achieve desired patient outcomes.”
    Rothman Index scores are calculated using electronic medical record (EMR) data associated with 26 variables, including 11 nursing assessment metrics, displayed in graphs. The introduction of the Rothman Index was accompanied by skepticism about its validity and reliability to produce actionable results. The technology initially didn't have ample peer-reviewed literature to convince nurses and other clinicians that the results would make a difference in patient care. However, research now suggests that Rothman Index performance is positively impacted by nursing assessment data, so the potential for nurses to impact patient care is significant.

    At YNHH, nurse SWAT teams use the Rothman Index to identify at-risk patients. A SWAT team is a group of experienced nurses trained in critical care, advanced cardiovascular life support, and trauma care. SWAT teams now receive immediate warning notifications on mobile phones when the index indicates patient deterioration. The SWAT team reviews the EMR and, as needed, assesses the patient and collaborates with clinical nurses and medical staff on pertinent aspects of care. SWAT nurses describe themselves as “a second set of eyes.” The data used to generate the index are derived from routine nursing documentation. Timely input of nursing assessment data is critical to the calculation and value of index scores because the index updates in real time from the EMR. For acceptance and continuous use of the index, clinicians may need an “a-ha” moment when they discover that the data do make a difference when working with their patients and families. For example, at YNHH palliative care team members found Rothman Index graphs useful in goals of care discussions.

    As new algorithms are integrated into patient care processes, it will be essential for nurses to gain experience in interpreting multiple data results and integrating new information into nursing practice. Based on their Rothman Index implementation experience, the YNHH team offered best practice advice on how to integrate new data into patient care:
    Having a growth mindset in the organization is important. Prepare teams to learn new ways to gather and use patient data and information.
    Tool experience is local and must be integrated into existing practices based on frontline provider experiences. Tool usage depends on stories told about the usefulness of the new technology; word-of-mouth dissemination complements formal education and is key for adoption.
    Tools must be easy to use, and output interpretation must be intuitive.
    Tools must benefit patient care. Ideally, they allow nurses to spend more time at the bedside and gain a better understanding of the patient's illness and needs.
    How are Robots changing the nurse profession?
     Robotic engineers are advancing what robots can do and how they emotionally respond to circumstances. Emotionally responsive robots are commonly called social or companion robots. Although we aren't at the stage of robots taking over, they're entering healthcare delivery sites, our homes, and our workplaces. Social robots are designed to interact in ways that make them human by responding to human interactions.11 Sophia is an example of a social robot conceived as a companion for older adults that demonstrates the potential of technologic advancements to improve how robots function.12 In 2018, Sophia was redesigned with mobility capabilities and is now the first robot to be given citizenship in a country (Saudi Arabia).13 Researchers around the globe are creating robots to help people drive, impact suicide rates, support clinical telehealth applications, and more. As robots learn to perform nursing functions, such as ambulation support, vital signs measurement, medication administration, and infectious disease protocols, the role of nurses in care delivery will change. Research suggests that between 8% and 16% of nursing time is spent on non nursing activities and tasks that should be delegated to others.14 Nurses with robot support will have the ability to take back this time and spend more of it with patients. (See Examples of robots in use today.)

Beginning in 2014, nursing-centered robotics project grants have been funded by the National Science Foundation (NSF) to promote the use of robots in nursing activities. To date, NSF has invested over $3 million in learning how robots can perform nursing functions. Does this mean that nurses are destined to become obsolete? Absolutely not; quite the opposite is occurring. Nurses are actively engaged in the creation and use of robots designed for patient care and older adult support. The robots are viewed as assistants that can help nurses at the bedside or in the community.15 An example of a robot collaboration is found at Duke University Pratt School of Engineering and School of Nursing. Interdisciplinary teams are working on developing the Tele-Robotic Intelligent Nursing Assistant (TRINA), a remote-controlled robot, to address healthcare workers who are at “high risk for infection due to routine interaction with patients, handling of contaminated materials, and challenges associated with safely removing protective gear.”16 TRINA is tested in the nursing simulation lab and currently performs about 60% of predefined nursing tasks; however, it's 20 times slower than a nurse. Although it isn't expected that the robot will be ready for release in the near future, lessons learned and development research will inform future projects.

The University of Cincinnati College of Engineering and Applied Science, College of Allied Health Sciences, and College of Arts and Sciences and Maple Knoll Village, a local independent living and retirement community, collaborated to launch a nurse-led telehealth robot project called TCHAT (Telehealth Community Health Assistance Team). The goal of the project was to evaluate nurse-led interventions for the promotion of healthy lifestyles and chronic illness management using a telepresence robot. The project was a combination of one in-home visit to start the healthcare program and follow-up telehealth remote visits in the home. Data were collected on participant health outcomes and the usability of and satisfaction with the robot intervention.17

Findings from home participants receiving the telehealth coaching and responses from the adult gerontology NP students who served as telehealth coaches suggest that the combination of a face-to-face live intervention coupled with robotic telehealth visits is satisfying for both providers and patients. Lessons learned in the pilot included the importance of technology infrastructure to support robot connectivity through the internet. During the pilot, the robot froze and became disconnected at times due to lack of bandwidth in the patient's home. The pilot demonstrated that the nurse's role in the planning and implementation of telehealth robots is essential to designing meaningful interventions that can leverage new technology.

In a personal communication, University of Cincinnati College of Nursing Dean and Vice President for Health Affairs Dr. Greer Glazer and Assistant Dean for Technology Dr. Matthew Rota shared their insights about nursing's role in technology deployment. Strategically, both agree that nurses will need to learn how to team with data scientists to make the most of what technology can offer. Although nursing and computer science are distinct disciplines, knowledge and skill transfer between the disciplines is essential as technology progresses for nurses to learn how to make sense of the data. Conversely, data scientists need to gain insights about patients and factors that impact health outcomes. With the advent of applications such as telehealth and smart robots living in patient homes, Dr. Glazer envisions that the role of nursing will evolve into “becoming coaches to help guide individuals to achieve improved health and health management outcomes.” Both Dr. Glazer and Dr. Rota agree that robots will never totally replace nursing's role in patient care; providing touch and establishing relationships with patients are cornerstones of the nursing profession. In discussing managing patient disease and death, Dr. Glazer opined, “If I'm dying, I find it hard to believe I would choose a robot over a human to help me through the event. Nuances in human behavior will keep nurses on the front line of care.”

Home care supported by new devices and/or robots collecting medical information, such as heart monitoring, urinalysis, and range-of-motion analysis, is changing nursing practice. As new and more sophisticated AI tools become available to support nurses anytime/anywhere, the nurse will be able to fulfill a practitioner role, delivering care across the continuum. According to Dr. Glazer, this will function like a practitioner caseload model where the patient receives continuity of care from a nurse. A significant barrier to achieving Dr. Glazer's nurse coach/practitioner vision is acceptance by other healthcare disciplines of nurses' ability to practice at the top of their license. Dr. Rota noted that nurses will need to grow into these roles and learn how to integrate new technologies and tools. He sees the nursing profession changing as nursing programs ramp up technology components in curricula.

Friday, February 28, 2020

How Technology Will Disrupt The Nursing Shortage

How Technology Will Disrupt The Nursing Shortage

The nursing field is in need of an infusion of nurses — and fast. Researchers project that 1 million RNs will retire by 2030, sparking a massive nursing shortage. Such a shortage spells disaster for the patient care settings that rely on them.Not only the aging nurse workforce but the aging of the entire baby boomer population threatens to put pressure on the health care system as a whole — and patients will pay the price.
The nursing shortage has made it more difficult for facilities, especially the post-acute facilities, to sufficiently staff. Insufficient staffing, especially in post-acute care, is increasing the stress of the nursing role. As a result, nurses are getting burned out more quickly and are increasingly more unhappy.There are a number of issues that, if solved, could allow a greater number of nurses to enter the field each year, provide more nurse faculty to expand nursing programs and introduce better pay for nurses.But it could also use an experience upgrade. Nurses cite increased stress, burnout and lack of a healthy work-life balance as the reasons they leave the profession.
The looming nursing shortage spells disaster for patient care and the nursing experience as a whole.
There are a number of issues that, if solved, could allow a greater number of nurses to enter the field each year, provide more nurse faculty to expand nursing programs and introduce better pay for nurses.But it could also use an experience upgrade. Nurses cite increased stress, burnout and lack of a healthy work-life balance as the reasons they leave the profession.That’s where technology comes in. Mobile apps, scheduling technology and blockchain credentialing can improve the nursing experience, and this, in turn, can help reduce turnover, improve retention and perhaps even lessen the impact of the nursing shortage.But it surely may additionally use an expertise improve. Nurses cite elevated stress, burnout and lack of a wholesome work-life stability as the reasons they leave the profession.
That is the place expertise is available in. Cellular apps, scheduling expertise and blockchain credentialing can enhance the nursing expertise, and this, in flip, will help scale back turnover, enhance retention and even perhaps reduce the impression of the nursing scarcity.
The nursing scarcity has made it tougher for amenities, particularly the post-acute amenities, to sufficiently employees. Inadequate staffing, particularly in post-acute care, is rising the stress of the nursing function. Consequently, nurses are getting burned out extra shortly and are more and more extra sad.There are a variety of points that, if solved, may permit a larger variety of nurses to enter the sector every year, present extra nurse school to develop nursing packages and introduce higher pay for nurses.

Health Equity: What Does it Mean for Nursing?

Health Equity: What Does it Mean for Nursing?

Health equity means increasing opportunities for everyone to live the healthiest life possible, no matter who we are, where we live, or how much money we make.”

Health equity is of vital concern to nurses, whose daily work as patient educators and healthcare practitioners is influenced by interrelated factors such as:
  • Health Disparities
  • Social Determinants of Health
  • Cultural Competence
  • Social Justice

Health Disparities

“Health disparities” refers to the inequalities in health and health care between different population groups. There are widespread inequalities that impinge upon public and individual health and well-being. Among the patients most directly affected are members of ethnic minorities, immigrant and low-income families, and people living in areas far from accessible care. According to a 2018 study, the US spends an estimated $93 billion in excess medical costs per year due to racial disparities alone.
In recent years however, we have expanded our efforts to reduce health disparities to include an emphasis on achieving health equity. Healthy People 2020 defines health disparities as a type of particular difference in health status that is closely linked with economic, social, or environmental disadvantages. Populations that experience greater social and economic hardships are more likely to experience health disparities.
In contrast, health equity is a principle that underscores a commitment to reducing and ultimately eliminating health disparities. Health equity occurs when all populations (especially vulnerable, less advantaged socioeconomic populations) experience their highest level of health. Efforts to achieve health equity are intertwined with our ability to effectively eradicate health disparities. In our daily practice, nurses can be mindful to assess for these and other conditions that may adversely impact health outcomes and make appropriate referrals to members of the health care team such as social workers and case managers who are skillful in addressing identified social needs and can make appropriate referrals for additional services.
On a higher level of intervention, nurses must become skillful in advocating for social policies that can positively impact the myriad of social and economic conditions (inadequate housing, lack of employment and education opportunities) that adversely impact the health and well-being of those we serve.”

Health Equity and Social Determinants of Health (SDOH)

Social determinants of health (SDOHs) are factors apart from medical care and genetics that account for roughly 80 percent of overall individual health outcomes, according to the National Academy of Medicine. SDOHs are factors such as socioeconomic status, availability of nutritious food, air and water quality, housing, education, transportation, racial segregation, and exposure to racism and violence. SDOHs can include a patient’s neighborhood and environment, access to health care (including insurance); social, cultural, and community context; level of education; and economic stability—all of which play a role in a nurse’s assessment of a patient’s wellbeing and risks to the same.
In what ways can a nurse incorporate SDOH considerations into treatment?
As they are working on the frontlines providing direct care to patients, it is important for nurses to be mindful of the many social and economic factors that may impact the health and well-being of patients and communities at large. In recent years hospitals have started screening patients for social needs that may have some bearing on a patient’s health and health outcomes. Factors such as access to stable housing, primary care, nutritious foods and transportation have emerged as significant factors impacting health status and health outcomes. Thus nurses are pivotal to integrating these factors when conducting patient assessments and making referrals that can help address the identified social needs. Other factors such as structural racism, income, education, poverty also impact health status and outcomes.
As patient advocates, nurses are well positioned to relay important information to social workers, case managers and other members of the interprofessional health care team who have the expertise to refer patients to needed resources. Nurses are valued collaborators in this regard and are encouraged to familiarize themselves with how their respective hospitals and health care systems are assessing and addressing the identified needs of patients. According to the American Hospital Association, by 2023, 48% of health care organizations will have a standardized means for collecting data on the social determinants of health, making this an important opportunity for nursing practice. Knowing where one’s organization stands with these efforts is an important first step.
Public policies that address the root causes of poor health status and longevity are central to any effort devoted to addressing the social determinants of health. Nurses are encouraged to get involved with their professional organizations, home institutions or other stakeholders who can work together to advance a policy agenda aimed at addressing the myriad of social and economic factors that impact health.

Cultural Competence

Culturally competent care is not just acquiring information on a particular group of people but rather developing a respect for and understanding that the beliefs, attitudes, behaviors, language, and rituals of that group all play a role.The epidemiology, manifestation of disease, and effects of medications vary among different ethnic and cultural minorities, so nurses need to make themselves aware of matters such as ethnicity and culture, sexual preferences, and other points of identity as part of their patient dialogue, as all of these matters have specific health connotations.

How can a nurse deal with topics such as patients’ ethnicity, language, culture, sexual orientation, and gender identity in a sensitive, yet direct manner?

It may be of help for the practicing nurse to know of other care modalities recognizing a cultural component. There is Cultural Safety, defined by Williams (1999), “as an environment that is spiritually, socially and emotionally safe, as well as physically safe for people”. This includes being safe to tell your nurse how you identify, relay your spiritual and other needs without fear of retribution etc. Especially when there is patient-provider racial, gender or ethnic discordance, there can be a tentativeness on either side to communicate effectively and fully.
There is Cultural Humility and Cultural Respect as well. So, a big tip is just ask…very simple. With humility, state you are unaware of any special needs or care they may have and ask. Ask, how do you identify? Instead of guessing and then go from there. Whereas Cultural Competency can be seen as useful for the dominant culture caring for the ‘other’. As an Indigenous nurse, no one offered me a Cultural Competency course or workshop as I cared for dominant culture patients. However, safety, humility and respect always serve to increase a patient’s comfort and optimize results.

Health Equity and Social Justice in Nursing

Social justice is a key aspect of health equity and is a core concept of nursing ethics. The American Nurses Association (ANA) states that nursing has a “professional responsibility to address unjust systems and structures.” Adhering to this ethic can lead to involvement in some divisive issues, but nurses have been advocates for social justice and human rights since the days of Florence Nightingale.

In your view, what role do today’s nurses have in working towards social justice?

Social Justice (from the Oxford Dictionary at Lexico) is justice in terms of the distribution of wealth, opportunities, and privileges within a society. It is well known, published, proved, that minorities in the US suffer, daily and out of proportion to non-minority peoples, at the lower end of these distributions.  Other groups such as the poor, working poor, chronically ill and disabled, and LGBTQ2+ suffer as well. To help even out these disparities in the health realm, nurses must advocate. At times, they are the only thing standing between a patient and health or death. 
Similarly, nurses are and must be advocates beyond the individual. Nursing programs at the bachelor’s level and above incorporate Community Health, Population Health, Leadership and often Health Policy into the curriculum. I sought a law degree after my PhD in nursing, as both have at their base-advocacy. I have worked my career in advocating for more just American Indian Health. Social Justice Issues face every nurse every day and they are deep and wide. They hit ethics; policy and procedures that may be seen as detrimental but are, “always done that way”; non potable water such as in Flint, MI; or Uranium on American Indian reservations; lack of available medicines; unfunded programing, and the massive leading edge of aging care; autism; and a host of other issues

Thursday, February 27, 2020


What Does It Mean to Flourish as a Nurse?

               Anyone who’s been through nursing school or worked at a hospital knows about the dangers of nurse burnout. Cramming for tests, powering through 12-hour shifts, and exhausting your supplies of empathy can make even skilled and seasoned nurses doubt themselves and their career choices. Burnout can end careers and disrupt lives.
But what about the opposite of burnout? What does it look like to flourish as a nurse? How can the stress of the job lead to success and career fulfillment later?
Burnout is sheer exhaustion. It can be physical, mental, or emotional (or all three), but the end result is that you’re disengaged from your job, peers, and surroundings. You lack motivations or strong emotions, except those that include a sense of hopelessness or cynicism.
The opposite of burnout isn’t necessarily happiness, though. It’s engagement and connection. Flourishing doesn’t necessarily mean that you feel positive all the time, though feeling happy can definitely be part of it. Rather, flourishing means that you’re constantly connected with what you’re doing, who you’re working with, and getting meaningful results from your work.
Most of all, flourishing means that you’re not alienated from your work. It’s finding your work meaningful and valuable. There’s an anecdote (which is probably more folklore than fact) that President John F. Kennedy once saw a man mopping the floor at NASA. Supposedly when the president asked the janitor what he was doing, the worker replied, “I’m helping send a man to the moon.” Flourishing is looking down at your chart, your daily tasks, and everything else that you do, and seeing the value and necessity in it.

What’s a healthy amount of stress?

Stress isn’t always bad. Healthy stress is known as eustress, and it’s the kind of stress that drives you to work on problems, achieve your goals, and move toward what you value. This type of stress can still entail feelings of uncertainty, elevated heart rate, or butterflies in your stomach. However, eustress drives you toward a goal. Unlike distress which can feel formless, eustress has direction.
A healthy amount of stress is one where you’re driven to get your job done and explore new avenues of success at work. This also means the stress doesn’t follow you out the door when you leave work or disrupt your home or personal life.
Probably the most obvious metric of your success as a nurse are the outcomes of the patients you save and improve life for.
These skills and attitudes can make a big difference in how you approach new challenges and problems. Flourishing in nursing means things that could have previously seemed insurmountable or deadening now seem interesting or stimulating issues to engage with. Instead of seeing problems as paralyzing, they move you to action.
If there’s a specific specialty of nursing or workplace you’re interested in, flourishing means that you’re able to gravitate toward it, all while having a job that lifts you toward your goals rather than grinding you down.

Friday, February 14, 2020


About Conference

This year Nursing Care Conference 2020 meeting makes a stage for nursing specialist’s cooperation at the same time it is a global platform to discuss and learn about exchange evidence-based nursing research, innovative ideas and models of best nursing practice and care. Nursing Care Conference 2020 covers a wide range of nursing topics such as Nursing Care ResearchNursing EducationNursing PracticeHealthcare ManagementNursing Types like Pediatric NursingNursing care InformaticsCommunity NursingPrimary NursingEmergency NursingClinical Nursing careMental Health NursingCritical Care NursingTravel nursingOperating room nursingHome health nursing care. The Nursing Care Conference 2020 organizing committee is confident that participants will benefit from the high-value scientific program. We welcome all the nursing researchers/practitioners to join us in Singapore for two days of stimulating discussions, knowledge sharing, and networking nursing events.