Tag Archives: COVID 19

Could AI Transform the Way Healthcare Operates?

Artificial Intelligence (AI) involves the use of machines to perform human activities such as comprehension, interpretation, and analysis. AI has been an emerging force in all computerized fields and has gained significant attention amongst health tech innovators in the past few years. While AI remains heavily experimental, the results have been extremely promising with regard to the future potential of AI-based procedures. The prospects of AI-related technology have the opportunity to transform the future of healthcare delivery.

Current Status of AI in Healthcare

AI is still in the early stages of development in the health tech industry and it has yet to fully penetrate the market. However, AI investment is projected to grow from $600 million to $6.6 billion between 2014 and 2021, indicative of the large and growing demand for such services. AI is already used by many health systems for everyday activities such as streamlining workflows, patient education, diagnosis, and predictive analysis. Including these practices has helped clinics save millions of dollars and serve patients more efficiently. Thanks to the rapid growth of AI, the healthcare industry will experience an influx of innovative techniques to help solve modern healthcare problems.

Machine Learning in Healthcare

Machine Learning (ML) is a method within AI in which machines are given the opportunity to learn through experience rather than constant programming. In essence, this trains machines to think like humans and learn from practical examples. Areas of healthcare where ML is already prevalent include data collection, diagnosis, and clinical trials. This method is being experimented in the health industry due to the abundance of data needed to make informed decisions. ML can allow computers to process millions of data points in just seconds, resulting in a faster and more efficient result. In the future, effective use of ML could hold the key to vaccine development and cancer treatment. One hurdle ML faces is that it would need large-scale testing in order to become readily available for use in all areas of healthcare. This is due to ML being rooted in experience-based learning rather than rigid programming.

Precision Medicine

Precision Medicine involves diagnosis and treatment plans that are specialized to the individual patient. This method greatly differs from traditional diagnosis and treatment as it analyzes millions of relevant variables to produce a patient-specific care plan. AI/ML-based machines can analyze more variables than humans could in a fraction of the time. One intriguing aspect of this technique is Whole-Genome Sequencing, which involves the analysis and discovery of an individual’s entire DNA sequence. AI/ML makes this technique possible by simplifying an extremely complex process. Ultimately, a streamlined version of Precision Medicine can shift healthcare away from standardization and towards personalized care. Like many AI techniques, Precision Medicine is highly developmental and will likely require large financial investments. Additionally, this method is quite controversial as it is still unproven and involves information about patients’ DNA.

Robotics

Robots are a clear example of how AI could be put into practice in the near future. Many large or high-budget clinics already employ the use of robotic machines. These instruments can carry out different tasks depending on their design. During the COVID-19 Pandemic, robots are being used to direct patients within a health facility to eliminate the risk of patient to care provider transmission. They have proven to be very effective in guiding patients when a human is unavailable. In a non-Pandemic context, robots would be useful in rural or undermanned health clinics, where similar situations could arise. Robotic AI machines could also be used for long term care patients who need daily monitoring and reminders related to their treatment. One area where Robotic-based AI can drastically reduce discrepancies in rural health accessibility is through Remote Treatment. Robotic devices could allow doctors to operate on patients without being physically present. The incorporation of Virtual/Augmented Reality devices could help with both clinical training as well as virtual appointments. The main obstacle associated with robots is that providers must make a significant financial commitment. This will subsequently make healthcare costlier for all parties involved, including patients and the Federal Government.

Artificial Intelligence is opening the door for more efficient and accessible health care. The astronomical increase in AI investment proves the effectiveness of new developmental methods. If the industry is able to address the remaining financial obstacles, we can experience AI leading the healthcare industry into the future.

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How COVID-19 is changing the Healthcare Industry

The COVID-19 Pandemic has greatly challenged the existing capabilities of the Healthcare Industry. The rapid spread of the virus has brought the world to a standstill and has health leaders scrambling to find new approaches to healthcare. Despite the obstacles that have been thrust upon the industry, the prospect of technological advancement gives the healthcare industry an opportunity for accelerated growth.

Short-Term Impact of COVID-19

One of the main consequences of the Pandemic has been undermanned or under-equipped health staff. The intensity of the virus has left many clinics with less than the required resources to help COVID patients. Another related issue faced mainly by urban health clinics is Hospital Overcrowding. Non-COVID related patients will also see delays in their care journeys. The healthcare industry must also prepare for the following long-term impacts of the COVID-19 Pandemic.

Increasing Role of Virtual Health services

The pandemic has revealed the importance of virtual health care services such as Telehealth and Remote Physiological Monitoring (RPM). The contagious nature of COVID-19 has forced many clinics to close their doors to non-COVID patients. Without virtual care technology, many patients with chronic or other severe conditions would lose access to essential healthcare. In addition, clinics would be losing a significant portion of their revenue. However, providers who utilize a virtual telemedicine platform are still able to connect with their patients. As of 2017, some form of Telemedicine platform is employed by over three-quarters of hospitals in the US. The pandemic will cause that number to increase while encouraging existing users of telehealth to make their platforms more extensive.

Eliminating the Traditional Care Journey

The emergence of telemedicine has allowed for the virtual exchange of high-quality health services. By using virtual technology, physicians are able to provide check-ups, patient education, and care plans. Patients can access these services from the comfort of their homes. This new development due to the pandemic has brought into question the future of traditional clinical visits. Hassle-free telemedicine solutions have exposed the inefficiencies of conventional care journeys. Previously, patients might waste an entire day for a simple check-up due to long wait times and large clinical facilities. In the end, they may not even receive conclusive treatment if they are referred to another practice. These inefficiencies contribute to a high patient no-show rate, which costs the American healthcare industry over $150 billion/year. Convenient telemedicine platforms remind patients ahead of their appointments and provide them with effective and timely care.

Altering the future of Value-Based Care

While the “Value-Based Care” movement has been gaining momentum for a few decades, the COVID-19 pandemic might slow down the shift. The decrease in elective surgeries and non-COVID related care has been financially crippling for many practices. While RPM and Telehealth reimbursement codes cover for some of these losses, clinics are still seeing a decline in revenue due to the pandemic. The deal-breaker for most clinics involves the financial risk involved in a Value-Based model. Many Value-Based contracts involve a great deal of downside risk, or potential financial shortcomings due to missed targets. This financial risk may have over half of Accountable Care Organizations (ACO) consider abandoning this model. This may also encourage current fee-for-service providers to avoid adopting a Value-Based platform in the future. In order to mitigate a large-scale exodus from the Value-Based scheme, the CMS could subsidize providers by removing downside risk clauses for the near future.

Accelerating the Adoption of Artificial Intelligence

Artificial Intelligence (AI) is emerging as a new solution for the current healthcare-related issues. AI involves the use of machines to perform human activities such as learning, interpreting, and analyzing. While AI in healthcare has not yet reached its full potential, investment in this field is expected to grow tenfold between 2014 and 2024. While AI systems are still in an early developmental stage, they are already used by many providers in areas such as diagnosis, patient education, and predictive analysis.

Robotic machines are an example of how AI could be put into action in a healthcare setting in the near future. These systems could carry out tasks like patient engagement, or even remote surgery. When dealing with infectious diseases like COVID-19, AI based robots could eliminate unnecessary human interactions, thus decreasing the risk of transmission. When used for diagnosis and treatment, these machines are significantly more accurate than existing technology. In the long run, AI could lead the way for virtual/augmented reality to make its way into mainstream healthcare.

The COVID-19 pandemic has proven to be a watershed event in the history of medical care. While the industry continues to face immense challenges, greater opportunities for growth lay ahead.

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Learn how the COVID-19 pandemic is transforming healthcare with technology

The COVID-19 pandemic and its global sweep is scaling exponentially across the globe. We are witnessing that health systems across some of the COVID-19 affected countries are stretching beyond their ability to handle this pandemic. The affected countries have geared up and are urgently scaling-up aggressive measures to tackle the disease and combat COVID-19.

Unfortunately, even some large health systems in developed countries are designed to handle regular patient loads and not pandemics. The international community has asked for US$675 million to help protect states with weaker health systems as part of its Strategic Preparedness and Response Plan. Right from mid-March till the first week of April, the number of cases of COVID-19 outside China has increased 13-fold, and the number of affected countries has tripled. Patients with an extreme disease from COVID-19 need average respiratory support of approximately 13 days and the number of new patients that can be accommodated during this prolonged outbreak is really low.

The rapid growth of cases can alter a public health emergency into an operational crisis if containment flops. Proper planning and response will require multidisciplinary effort from physicians, healthcare professionals, nurses, respiratory specialists, supply chain, pharmacists, etc.

Here’s how technology is helping through its virtual care potential and other advancements

Healthcare workers on the front lines are overwhelmed due to the COVID-19 outbreak. The number of calls they receive from patients who want to talk to their respective physicians about COVID 19 symptoms is unimaginably high. As a result, health systems are suggesting their patients to use self-triaging tools to check for the COVID-19 symptoms before putting them through to their doctors. Chatbot’s have also been reconfigured with FAQ’s and assessment related to Coronavirus symptoms.

The current COVID 19 outbreak scenario is terrifying and the major concern for many of us throughout the world. Due to the sudden spike, patients triaged for COVID-19 should wait long in a virtual queue. During this long wait patients get frustrated and impatient, and also puts many patients in a state of panic and anxiety. In one of the articles it is stated that the number of virtual visits have gone 10-15 times more after the COVID-19 outbreak.

This insists on the need for health systems to standardize and streamline processes eventually to handle intake volumes and have the technology in place to manage such pandemics efficiently. It is said since the COVID-19 outbreak Telehealth visits/usage has increased by approximately 500% in the last few weeks. While some of the health systems have already successfully adapted to new healthcare technologies there are still plenty out there who have not thought about it yet.

It is time for health systems to realize, the power and potential of Telehealth, bring it into the mainstream and take it at one stroke to transform care delivery. Likewise, remote patient monitoring is also equally important to monitor chronic conditions patients and patients who are at high risk or suspected of contracting the virus during such pandemics.

The COVID-19 pandemic may be a turning point as we look at the future of healthcare across time horizons, how we live and work, and perhaps the planet’s future. During such situations, a certain degree of reprioritization is needed to speed-up the digital transformation of healthcare delivery.

Mainstreaming of Telehealth

Telehealth is on the rise during the COVID-19 pandemic. The HealthViewX platform supports patient-to-provider, provider-to-provider and multi-party collaboration from the onset of a condition. The platform supports both audio and video calling, and live-chats along with document transfer. Allows patients to join from any device like mobile, laptop, tabs, etc. It enables healthcare organizations to customize Telehealth experience for providers and patients, thereby enhancing the quality of patient care, raising patient engagement and improving patient experience and health outcomes.

For further customization, the platform engine helps build digital tools and platforms on-the-fly with no-code or low-code to orchestrate care journeys and facilitates transitioning to value-based care. The current system definitely needs to adapt to modern healthcare technology.

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