The emergence of coronavirus created a sudden requirement for more and better nurse practitioners worldwide. The healthcare professionals’ willingness to fearlessly accept challenges has turned them into forefront fighters against a pandemic.
A nursing career can be both thrilling and exhausting. But it takes buckets of courage and loads of determination to advance in this profession. Here are ten methods for boosting your expertise in the medical field and strive for growth:
Acquire a specialty:
You can find numerous areas of specialization in the nursing profession. Pursuing a specialty boosts your chances to excel in the medical field. Nursing students select any subject they’re interested in to gain excellence as a nursing practitioner. These areas include holistic, orthopedic, neuroscience, gastroenterology, and other niches. You don’t just acquire in-depth knowledge regarding that specific area of care, but it also contributes to professional advancement. With a specialization, you can expect to achieve lucrative positions in the medical industry. The aftermaths of the pandemic have enhanced the importance of mental-health specialty modern nurses can pursue.
Get some experience:
You won’t get a decent employment opportunity out of the blue after completing your education. High-paying jobs require individuals with some level of expertise, and this expertise comes with experience. So, make up your mind to seek internships during your academic journey. Also, you can leverage this tenure in the future for lucrative job offers. Remember that experience cultivates more knowledge, better job skills, and greater communication efficiency. An experienced nurse can tolerate the patient workload more effectively than an amateur nurse. If you dislike internships, you can always shadow a nurse practitioner to gain insights into this profession.
Continue your education:
Nursing is – similar to almost every other profession – a constantly-evolving vocation. That’s why nurses must remain updated about the most recent developments in the healthcare field. Continued education helps nurse practitioners improve their knowledge and deliver the best patient care services. Acquiring a terminal degree in nursing can build your career and help you advance in the medical industry. DNP programs offer alternatives to research-focused doctorates. You can also try taking online medical courses and get a certification in PALS, which will be a great addition to your set of skills. The lowest acceptable level of nursing education to land a good job will continue to rise. Therefore, continued education has become essential for the survival of nurse practitioners in the future.
The COVID-19 pandemic has shaken the medical sector to its core over the last 12 months and one of the major takeaways from the situation is that hospitals across the world need more ventilators.
Thankfully, there have been significant increases in ventilator technology in recent years many of which centre around the use of proportional solenoid valves that can help control air injection.
The concept of a solenoid valve is quite simple at its core and they have been utilised in various industrial applications for over a hundred years. Solenoid valves work by employing an electromagnetic coil to either open or close the valve. With the coil is energised the valve is open and when it is not the valve is closed. A simple and elegant solution that has been perfected over the last 50 years. But why are they increasingly being used in the medical industry?
Solenoid valves and the medical industry
Portability – There has been a significant increase in the need for portable medical devices such as ventilators, particularly in the wake of the pandemic. Solenoid valves are ideal for these applications as they allow for precise flow control options and are very small and lightweight
Reliable – They are also incredibly reliable, which is of paramount importance when you’re talking about equipment that is, in some cases, literally keeping people alive.
Efficient – Not only are the valves whisper-quiet (which works wonders when it comes to easing patient comfort) but they are very energy efficient too.
Future proof – Drivers and proportional current controls that can be controlled by sophisticated software mean that solenoid valves can be controlled directly and precisely by computer. This makes them an obvious fit for all current and future hospitals.
Response by Richard Boyd, CEO and Co-founder, Tanjo.
Richard Boyd
One question healthcare technology professionals should be asking right now: How can I use AI and machine learning to create better communicate with patients to create better health outcomes?
Whether it’s a biological virus or a mind virus — the thing that makes it a pandemic or an insurrection crisis situation — is human behavior. The rapidly evolving nature of a crisis, and complex black swan events that are likely to come in the future, requires more than judgment calls by leaders with incomplete information.
We can absolutely train a synthetic model of a human being to predict how that person would behave in a given situation.
With the dramatic rise of telehealth as a result of COVID-19, AI is being used to create a data-driven patient-centered platform that benefits patients and caregivers in their quest for better health. 3DBioMe is a machine-learning and AI data analysis system that brings this interactive 3-D model of the major physiological systems of the body to the fight against COVID and other health issues.
Using AI a healthcare architect can quickly and dramatically explain the environmental and social choice determinants of all health interventions and outcomes showing the effect of those choices over time to a patient in a meaningful and persuasive way.
Target enrichment is an essential process for multiple types of DNA or genetic sequencing techniques, and depending on which technique is in question, the actual process will vary quite a bit in both degree and process. Let’s get into the discussion with a general definition of what target enrichment is.
What is Target Enrichment?
Target enrichment may involve different methods, depending on the particular type of sequencing, the exact sample, as well as the expected results (reason). It can still be defined in a more general sense as they all work towards selectively isolating the precise, genomic sections necessary for the sequencing.
Target enrichment is a preparatory step which amplifies both the speed and accuracy of the results derived from DNA sequencing. For finding and identifying nucleic acids and the variations between them with speed and supreme sensitivity, target enrichment is a time-tested and highly efficient step. It should be a standard procedure before the sequencing procedure can begin.
In instances of Targeted Next Generation Sequencing (TNGS), target enrichment has been found to be of crucial importance for reducing the time which would be necessary for previous generation of targeted sequencing to be completed. Next, we will focus more on TNGS and how target enrichment works towards making the modern sequencing process more accurate, cost effective and quicker.
More than a year after scientists identified the first cases of COVID-19, infection rates continue to rise in regions across the United States.
The virus has been particularly devastating for those who can afford it least: the elderly, underserved communities, low-income families, and people of all ages with chronic conditions.
COVID-19 infection, hospitalization, and death rates for these groups are dramatically higher than for other populations.
According to the CDC, eight out of ten reported COVID-19 deaths in the US are among individuals 65 or older. And data from the COVID Tracking Project reveals that Black or African American individuals are up to 1.5 times more likely to die from COVID-19 than white patients.
Patients with multiple chronic diseases are also at elevated risk. The CDC cites chronic kidney disease, COPD, obesity, and heart conditions as known contributors to poor outcomes from COVID-19, while Medicare statistics show extremely high rates of hypertension and hyperlipidemia, diabetes, and chronic kidney disease among hospitalized beneficiaries.
All these groups have another major risk factor in common. They are the populations that most often struggle to cope with the social determinants of health (SDOH), such as food security, social isolation, and access to healthcare, living wage employment, and transportation.
In the current economic environment, many of these individuals are even facing the hard choice of prioritizing food and shelter over the expenses of necessary healthcare and medications, despite the knowledge that avoiding care may increase their vulnerability to their preexisting conditions – and subsequently raise their chances of experiencing a worse outcome if they contract COVID-19.
Even with the prospect of mass vaccination on the horizon, it’s more important than ever for healthcare providers and health plans to understand and address the social determinants of health, starting with ensuring pharmacy access and medication adherence.
The role of medication adherence in population health management
Population health management focuses on staying one step ahead of the clinical and non-clinical factors that may lead to poor outcomes in targeted patient groups. For the six in ten Americans with at least one chronic disease, medication adherence is a critical component of maintaining good health.
Suboptimal medication adherence has significant impacts on chronic disease management and overall wellbeing. Incorrect use of medications contributes to tens of thousands of preventable deaths and half a trillion dollars in healthcare waste every year.
The reasons behind medication adherence issues are varied and challenging. Some patients experience undesirable side effects and change their doses without consulting their physicians, while others struggle to understand the importance of their prescriptions or fit their medications into their daily routines.
For patients with socioeconomic difficulties, the problem gets even more complex. Out-of-pocket drug costs are skyrocketing, leading large percentages of patients to abandon their medications unwillingly.
By Devin Partida, technology writer and the editor-in-chief, ReHack.com.
Devin Partida
Medical billing records may help create a fuller picture of how the COVID-19 virus has impacted the country.
Researchers have started taking to repositories of claim and billing code data to learn more about patients — who they are, what challenges they faced and how they had to navigate the health care system during a pandemic.
Combined with other data on the financial impact of COVID, this research offers a much clearer view of how the pandemic has impacted patients and strained the American medical system.
1. Chronic Kidney Disease May Be the Most Common COVID-19 Comorbidity
In July, FAIR Health, a provider of health care solutions, released a report on how billing records could reveal more about COVID patients’ stories. Most prior case studies found that type 2 diabetes and hypertension were the most common comorbidities. Respiratory conditions, like asthma, COPD and sleep apnea, along with heart conditions, typically made up the rest of the top 10.
The billing data was mostly in line with these previous findings — but had one key difference. The No. 1 comorbidity was chronic kidney disease and failure, rather than hypertension or diabetes.
The FAIR Health report also diverged from other case studies in finding that anxiety was one of the top 10 comorbidities, coming in at ninth place.
An increasing number of entrepreneurs and innovators are tackling challenges in healthcare, but many of these solutions will never make it to market. It is critical to lay the right foundation by applying the principles of discovery and validation early in the process of innovation in healthcare technology.
Understanding the Basics of Discovery and Validation
Innovation thought leaders like Steve Blank have lauded the importance of discovery and validation. During the discovery phase, innovators gather data to substantiate market needs by talking to potential customers and other stakeholders. This data forms the first iteration of a business model.
Despite being informed by data, the business model also contains numerous assumptions. During validation, experiments are designed to test assumptions and reduce uncertainty. Often, experiments yield new insights and inform business model pivots while requiring innovators to conduct additional discovery. Innovators must collect enough data to feel confident about their assumptions without getting caught in an endless loop of testing.
This constant churn of trying to make sense of data helps get early stage healthcare innovations off the ground. For those in the healthcare field, the experience can be taxing. So-called “innovation fatigue” can set in fast, particularly for team members who don’t realize they’re embarking on a marathon instead of a sprint.
The pressures on healthcare organizations and employees make them even more susceptible to fatigue. Is it any wonder so many of them skip validation altogether? It might be tempting to make definitive decisions after an involved discovery excursion, but that won’t help stakeholders in the long run. Not testing after gathering insights can lead teams down an expensive road by building a solution and going to market prematurely.
Still, plenty of well-meaning healthcare innovators believe validation is not essential. Sometimes, it’s because they believe in the mythos of overnight success; they underestimate the time and resources required to explore and de-risk early stage opportunities, ultimately failing to anticipate the iterative nature of discovery and validation. Other times, they become overly confident in what they’ve seen and achieved during discovery and think no further iteration or learning is necessary.
To be sure, discovery gives healthcare innovation teams the knowledge to extract and shape a preliminary idea and begin to identify underlying risk quickly. Nevertheless, discovery alone means very little in practice. Validation is required if healthcare technology innovators really want to design experiments that will help resolve uncertainties, reduce risks, and pinpoint whether a hypothesized solution should persist, pivot, or perish.
Ultimately, organizations that lack a clear bridge from discovery to validation will see high-potential opportunities linger in their innovation pipelines. They never move because no one’s sure what to do with them. Eventually, these opportunities may fade away — meaning the healthcare system (and the people it serves) suffers.
We’re living in a world where consumers demand more from every transaction. Exceptional service is no longer a nice-to-have — it has become the status quo. Whether it’s a traveler paying for an Uber through an app or a patient receiving emergency department service, people want and have come to expect great service.
The healthcare industry is working to quickly adapt and meet these expectations as they come, often leading to a disheartening or unpleasant experience for patients. Why? There are complex infrastructure challenges in healthcare.
For example, consider the patient billing process: It may have stumbling blocks that can lead to friction, such as surprise at the final price when the medical bill arrives, limited bill payment options, insurance denials, or reduced coverages. These problems tend to come after patients receive clinical care, adding more stress on top of an already stressful situation. Essentially, people receive the care and treatment they deserve but could feel blindsided later because of a lack of price transparency.
That said, providers may not be in a position to have patient-focused financial conversations at every point of the journey from pre-registration through post-discharge. Often, providers are just as in the dark about what a procedure may ultimately cost patients out of pocket because data often is siloed within different systems. And even when those systems try to communicate, they don’t necessarily speak the same “language.”
Is the task of reinventing American healthcare billing a major undertaking? Sure. But improving the patient experience is still doable. It just requires every entity involved — from third-party payers to insurance companies to physicians’ offices — to treat patients while considering their perspectives and needs.
How to Overcome Barriers in Healthcare
Tackling this challenge now is key for a few reasons. First, providers will be able to more clearly empower patients to make the best decisions for themselves and their families. When healthcare providers operate with patient needs in mind, consumers feel less confused, more curious, and better equipped to make crucial health decisions.
Providers that offer simple billing and upfront costs analyses may also reduce patient noncompliance and nonpayment. When patients understand their financial obligations before receiving services, they can make better choices and plan ahead. The result? Healthcare providers will be able to stay in business and thrive.
With the advantages of taking a more patient-centered approach in mind, healthcare providers can take steps to make that approach a reality.
