Monthly Archives: August 2020

Innovative RPM Developments that will revolutionize Care Delivery

The efficiency and effectiveness of Remote Physiological Monitoring (RPM) has allowed it to emerge as a popular practice in the healthcare industry. RPM has greatly increased the accessibility of healthcare, especially for chronic care patients. It has also allowed care providers to increase their revenue through the CPT reimbursement codes. The industry shift towards a patient-centric, Value-Based Model has allowed for sustained growth for RPM devices in the market. The current innovations in RPM devices have the opportunity to reshape the overall Patient experience.

How COVID-19 is accelerating RPM growth

The COVID-19 Pandemic has expedited the large-scale adoption of RPM. As health centers across the world focus on treating COVID-19, patients with other conditions have been encouraged or instructed to avoid health facilities. This has caused a large deficiency in the transfer of care. This disproportionately affects small clinics that need periodic cash flow and chronic care patients who require frequent clinic visits. RPM devices allow patients to bypass the restrictions by monitoring their health conditions from home. These machines help patients and providers stay up to date with their care plan progress. It also allows clinics to recover some of their lost revenue due to the pandemic. Moving forward, it appears that RPM will increasingly become an integral part of care delivery.

Robot Assistants

The prospect of robotic devices has long been entertained in the healthcare industry. Developments in Artificial Intelligence (AI) and Machine Learning (ML) in the past decade have made a future with these devices more realistic. Acting as a personal assistant to long-term patients is one way that robots could make their way into mainstream healthcare. Many patients with chronic conditions require periodic monitoring and extended hospital stays. Robot Assistants could track the vitals of the patients and input the results into the patient’s Electronic Health Record (EHR). These machines would be especially beneficial to patients at rural or undermanned health clinics. It is at such places where Robot Assistants would significantly enhance the quality of care without replacing a human. A significant issue associated with Robot assistants are liability/legal concerns. Should any issues arise while the patient is under the robot’s care, it is unclear who would be responsible.

Remote Surgery Robots

A more complicated manner in which Robots can enter the industry is through Remote Surgery. These machines can assist surgeons by simplifying complex procedures in ways that are not humanly possible. For example, they can use AI or ML to improve the accuracy of existing practices. Another benefit of Remote Surgery is the opportunity for long-distance procedures. An advanced Remote Surgery Robot could allow for a surgeon to perform on a patient thousands of miles away. The primary hurdle facing Robot devices involve high development and operational costs. Both the software and hardware of these machines are extremely intricate in nature. If this concern is addressed, Robots could become a cornerstone of modern healthcare.

Wearable Devices

Wearable RPM devices are already in common use by chronic care patients across the country. In a more loosely defined manner, fitness and smartwatches can also be considered as they perform many similar tasks as a medical RPM device. In this sense, over 20% of Americans already use one of these wearable devices. The main reason wearable RPM devices have yet to take off is the lack of multi-use devices. While a smartwatch has multiple functions, many medical RPM devices have very specific uses. This causes many patients to shy away from making a financial commitment to these products. An example of how this issue can be solved is exemplified in DexCom’s partnership with Apple. DexCom is using the Apple Watch as a platform for people to access their Glucose monitoring products. By using an established, multi-dimensional platform, DexCom is able to generate a larger outreach. A breakthrough in wearable RPM devices would greatly benefit patients with diabetes or cardiovascular issues. A device that they could wear around the clock would provide medical professionals with the data to better understand their condition.

Future of RPM

The RPM market has significant potential for growth in the upcoming decades. The shift towards a more patient-centric focus has resulted in a positive outlook for future RPM development. Advancements in the overall quality and scale of RPM devices can transform the Patient Care Journey of tomorrow.

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Improving Patient Experience through Patient Smart Rooming

The Traditional Patient Care Journey is an inherently time and resource inefficient process. Many patients dread clinical visits due to long and uncomfortable wait times. For clinics, this improper use of staff and money results in increased costs and lost revenue. However, a centralized planning system that streamlines the patient workflow could transform the Care Journey. This is where Patient Smart Rooming can emerge as an efficient tool for streamlining the patient journey. Before diving into this innovative solution, it is important to understand the Patient Rooming process.

Pre-Visit Preparation

Before engaging with the patient, it is important for the medical assistant to understand more about them. Medical Assistants can use a pre-visit checklist to prepare for the appointment by learning more about the patient’s medical history. Assistants should review the patients’ current condition, treatment plan, and feedback from past visits. Previous test/screening results should be readily available for the physician to observe. Ensure that any age or condition-specific tests, screenings, and immunizations are up to date.

By preparing for the patient prior to the visits, medical assistants can be proactive about what they may be facing during the rooming process. They better anticipate any patient questions/concerns and prepare accordingly. This also allows them to share any glaring concerns with the patient and physician. A Pre-Visit checklist can also save time by identifying areas of concern before the patient even arrives. After completing this checklist, the assistant can approach the patient and begin the rooming process.

Patient Rooming Tasks

Efficient Patient Rooming requires the medical assistant to perform a variety of tasks. Here are the common steps involved in Patient Rooming:

Patient Introduction: Greet the patient in the waiting room and lead them to the appointment room. Ensure that you are engaging with the patient in a warm and welcoming fashion.
Inquire About Appointment Objective: In a kind and compassionate manner, inquire about the patient’s objective of the appointment. Understand why they are there and what they seek to accomplish from the visit. Identify the most high-priority health concerns.
Update Health Records: Add any new conditions or symptoms to the patient’s health record. Be sure that any recent tests or screenings have been indicated on the record.
Address Patient Questions: Encourage patients to be open about any concerns they have about their treatment or condition. Inform the physician of any questions that are relevant to the appointment.
Conduct Patient Screening: Screen the patient using standard protocol to determine any tests or procedures that they will need to undergo. Prepare the patient for any tests that the physician will be performing and if necessary provide them with the appropriate protective gear.
Briefing The Physician: After collecting all the required details from the patient, be able to summarize this information to the physician. Highlight any glaring issues from the health record or any urgent patient concerns.

The Rooming process ends when the Medical Assistant transfers the responsibility of care to the physician. An efficient exchange of care means minimizing time without compromising on the quality of care.

Characteristics of Patient Smart Rooming

Patient Smart Rooming has risen from the increasing acceptance of Value-Based Care. This shift emphasizes the importance of patient outcomes as opposed to the purely profit-based “fee-for-service” outlook. Patient Smart Rooming can increase the convenience of care and subsequently enhance patient satisfaction.

Centralized Platform: An all-inclusive software platform that has relevant data at readily available.
Pre-Visit Checklist: Acts as a guide for what Medical Assistants should cover in the rooming process.
Access to EMR/EHR: Informs the Assistants about the patient’s existing conditions or previous tests/procedures.

How Patient Smart Rooming Streamlines the Care Journey

Due to the many different steps involved, Patient Rooming is often a long and tedious process for both patients and care providers. HealthViewX’s Patient Smart Rooming software provides clinics the opportunity to digitize the entire care journey. By utilizing a centralized software, care providers can access any important patient information on one platform. This tool also allows clinics to track valuable data like wait/rooming times or availability of assistants. This allows clinics to identify inefficiencies in their practice by tracking every step of the patient journey.

Talk to us to understand more about the advancements in the healthcare industry and we will guide you to achieve our common goal “Quality Care for All” seamlessly.

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.

Talk to us to understand more about the advancements in the healthcare industry and we will guide you to achieve our common goal “Quality Care for All” seamlessly.

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.

Talk to us to understand how HealthViewX is transforming the Care Journey for both patients and providers!