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Leveraging AI in Healthcare Technologies to Optimize Chronic Pain Management

Introduction

In the world of healthcare, we’re seeing some pretty big changes thanks to artificial intelligence (AI). One key area where AI is really making a difference is in managing chronic pain. A lot of people around the globe suffer from chronic pain, which creates huge challenges not just for them personally but also economically. The usual ways of dealing with pain don’t always work well for everyone. But now, AI is stepping in and offering new hope.

With tools like predictive diagnostics, natural language processing, and even robotics powered by AI are changing how doctors approach pain management. These tech advancements mean that diagnosing problems can be more accurate than ever before; they help keep patients involved in their own care and make sure treatments are tailored specifically to what each person needs. This move towards using AI in health stuff looks really promising for helping folks deal with chronic pain better.

The Evolution of AI in Healthcare

In the healthcare world, artificial intelligence has really changed things up. With stuff like generative AI and neural networks leading the charge, we’re seeing some cool new tech in medicine. This means doctors can figure out what’s wrong with you more accurately, come up with better ways to treat you, and overall take care of patients better. By feeding these AI systems a ton of information, they get smarter over time. This is especially good news for folks dealing with chronic pain because it’s helping find better ways to manage it.

The beginning of AI in medicine

The journey of AI in healthcare started when people working on computer science and deep learning saw how it could change the way we treat illnesses. They created computer programs that could go through a lot of information quickly, making it easier to figure out what’s wrong with someone and how to treat them. By using deep learning, which involves complex artificial neural networks, the power of ai systems got even better for medical use. This was really the start of using AI in medicine, paving the way for today’s progress in managing long-lasting pain.

Current advancements in AI for healthcare

Right now, AI is making a big difference in many areas of healthcare, like helping people who suffer from long-term pain. By using machine learning, computers can look through huge amounts of data to help come up with treatment plans that are tailored just for them. Deep neural networks, which are really good at dealing with complicated information, play a key role in pushing forward the use of AI in healthcare. With these technologies at work, doctors can better manage pain for their patients, leading to better health results and higher quality care overall.

Understanding Chronic Pain and Its Impact

Chronic pain is a big health problem that touches the lives of millions around the globe. It’s when you’re in pain for more than three months straight. With chronic pain, life can get pretty tough – it can make your quality of life worse, cut down on how much work you can do, and bump up what you spend on healthcare. Figuring out how to manage this kind of pain isn’t easy because everyone needs something different to help them feel better. By bringing AI technology into the picture for managing pain, there’s a chance to make treatment plans better suited for each person dealing with chronic pain and possibly improve their situation.

Definition and types of chronic pain

Chronic pain covers a bunch of different health issues and gets sorted by what causes it or where you feel it. You’ve got things like nerve pain, muscle and bone pain, and really bad headaches as some common kinds. Treating each kind needs its own plan. With the help of AI technology, figuring out which type of pain someone has becomes easier, leading to treatments that are more tailored to the individual. By looking at lots of data from different places, AI helps doctors make better choices in how they handle chronic for patients making their care better overall. On top of this using operations research can make sure resources are used in the best way possible so managing chronic doesn’t waste time or money.

The socio-economic impact of chronic pain

In places like the United States, chronic pain really takes a toll not just on people’s health but also hits hard economically. About 1 in every 5 people live with this kind of pain, leading to huge amounts of money spent on healthcare and even more lost because folks can’t work as much or at all. It’s not only about the bills for doctors and medicine; it affects whether someone can do their job, enjoy day-to-day life, or feel happy overall. By using AI technology to manage chronic pain better, doctors could make treatments more effective and lessen how much chronic pain costs everyone involved – from those suffering directly from it to society in general.

AI Technologies in Pain Management

AI technologies are changing the way we manage pain by making diagnosis, treatment planning, and how we engage with patients better. With AI algorithms, predictive diagnostics can look through patient data to spot patterns and guess how well treatments might work. Thanks to natural language processing, ai systems can make sense of what patients say in their reports which helps doctors come up with care plans that are just right for each person. Robotics is also playing a big role in physical therapy and rehab by offering precise help exactly where it’s needed. All these advancements mean people dealing with pain get better care and see improved results from their treatments.

Machine Learning for predictive diagnostics

In the world of pain management, machine learning is playing a big role in creating models that can guess how well different treatments might work. These models look at things like what’s happened to the patient before, their symptoms, and results from tests to find patterns and make predictions about what treatments could be best. With machine learning, doctors have a better shot at choosing the right treatment for each person. This way, they can come up with care plans that are tailored just for them, making it more likely for patients to get better faster and helping manage pain in smarter ways.

Natural Language Processing for patient reports

In the world of healthcare, especially when it comes to managing pain, natural language processing (NLP) is making a big difference. It’s being used to go through what patients say and help doctors and nurses understand them better. With NLP, all those notes in electronic health records or the symptoms patients talk about can be quickly looked into by computers. This way, healthcare workers can spot trends or important bits of information that might help come up with treatments that are just right for each person. By combining NLP with speech recognition technology, AI systems are stepping in to make conversations between people seeking care and their caregivers smoother. This not only makes things more efficient but also helps folks feel more involved in handling their pain.

Robotics in Physical Therapy and Rehabilitation

In the world of pain management, robotics is making a huge difference in how physical therapy and rehabilitation are done. With the help of AI systems, these robots can offer very specific help that’s just right for what each person needs to feel better and recover faster. They’re smart enough to adjust their methods based on what works best for an individual patient, giving them a custom treatment plan. This blend of robotics with AI technology means doctors can make rehab programs much more effective at managing pain and helping patients get back on their feet quicker, all while boosting the quality of care they provide.

Case Studies: AI Success Stories in Chronic Pain Management

Through different examples, it’s clear that using AI in managing long-term pain works well. One area where AI shines is in precision medicine. Here, AI looks closely at each patient’s information to figure out the best treatment plan for them based on their specific traits. By using AI, doctors can create personalized treatment plans that really fit what each patient needs, making pain management better and patients happier. These examples show how powerful AI could be in changing how we handle chronic pain.

Implementing AI for Precision Medicine

In the world of healthcare, precision medicine is quickly changing how we approach treatment, making it more personal by looking at what makes each person unique. With a big focus on chronic pain management, AI is stepping up as a key player. It looks closely at heaps of information about patients – like their genes, past health issues, and how they’ve responded to treatments before – to figure out which treatment might work best for them. By bringing together big data and AI tools, doctors can now rely on solid facts to decide the best way to manage someone’s pain, leading to better results for patients.

Virtual reality as a pain management tool

Virtual reality, or VR for short, is starting to show a lot of promise in helping people manage pain. By putting patients into virtual worlds, it helps take their mind off the pain and gives them a feeling of calm and comfort. With VR, experiences can be customized based on what each person likes, making it more likely they’ll stick with it and find relief from their pain. On top of that, using VR might mean people don’t need to rely as much on strong painkillers that come with heavy side effects. As this technology gets better over time, we’re looking at VR playing a big role in making life easier for folks dealing with long-term pain.

Challenges and Considerations

AI technologies in healthcare show a lot of promise for making chronic pain management better. But, there are some big hurdles and things to think about. When it comes to using AI for health, we’ve got to be really careful about ethical issues. This includes worrying about bias and the moral questions that come up with artificial general intelligence. On top of that, keeping patient information safe is super important, so data privacy and security have to be strong. It’s also crucial to make sure there’s no gap between what AI can do and how doctors actually use it in their work. We need to ensure healthcare professionals know enough and have the right skills to use AI technologies well.

Ethical concerns in using AI for health

When we talk about using AI in healthcare, there are some big ethical questions that pop up and really need our attention. For starters, there’s a worry that AI might not treat everyone the same because of bias in its programming. This could mean unfair health outcomes for certain groups of people. To avoid this, it’s super important to make sure these ai systems learn from data that reflects all kinds of different folks.

Then there’s something called artificial general intelligence – basically when AI gets as smart as humans. We’ve got to think hard about what this means for who’s responsible when things go wrong, how clear they are about what they’re doing, and whether we might end up losing control over these technologies.

As ai systems keep getting better and smarter, making sure we have strong ethical rules is key so everything goes smoothly in healthcare.

Data privacy and security

When it comes to using AI for managing chronic pain in healthcare, keeping patient data safe and private is super important. This information is really personal, so we have to make sure only the right people can get to it. To do this, strong security steps like making data unreadable (encryption) and controlling who can see what (access controls) are a must-have. Also, following rules about protecting patient info is key—like the Health Insurance Portability and Accountability Act (HIPAA) in the United States. Healthcare places and companies that make AI need to work closely together. They should share data safely and stick to strict privacy rules. By putting data privacy and security first, patients can feel good about using AI technologies for their chronic pain management in the United States.

Bridging the gap between AI potential and clinical practice

AI could really change the game for managing long-term pain, but there’s a big step to take from what it can do to actually using it in doctor’s offices. For this tech to work well, doctors and nurses need to know how they can use AI tools and understand the info these tools give them. To get there, we should set up training programs so healthcare workers get the hang of AI stuff and make smart choices when treating patients with it. By working together with experts in AI, healthcare folks can help create solutions that fit right into their day-to-day tasks without causing any hiccups. With everyone on board and informed, we’ll be able to unlock all that AI has to offer for people dealing with chronic pain.

The Future of AI in Managing Chronic Pain

The future looks bright for using AI to handle long-term pain. By looking at big sets of data, predictive analytics can figure out patterns and guess how different treatments will work on individuals. With the help of smart gadgets and sensors that you wear, ai systems can keep an eye on how much pain someone is feeling, their physical activity, and other important info as it happens. This information lets us give personalized advice right when it’s needed most to better manage pain. Thanks to predictive analytics and wearable tech working together with AI systems, we’re moving towards a big change in managing chronic pain which could really make life better for people dealing with it every day.

Predictive analytics for personalized treatment plans

With the help of machine learning and AI systems, there’s a big chance to make treatment plans that really fit people who deal with chronic pain all the time. By looking into lots of data, which includes what patients say, their medical information, and how these smart computer programs learn over time, we can spot trends and guess how different treatments might work for someone. This means doctors can come up with care plans that are just right for each person’s unique situation, making it easier to handle their pain. On top of this, predictive analytics is good at spotting things that might cause chronic pain before it even starts. So by using these advanced tools like AI and machine learning in healthcare settings helps those suffering from constant pain get better support tailored just for them.

Integrating AI with wearable technology

Combining AI with wearable tech opens up new ways to handle chronic pain. With gadgets like smartwatches or sensors, we can track how much pain someone’s feeling, how active they are, their sleep habits, and more in real time. By using AI to look at this info, it can give advice that’s tailored just for them on how to manage their pain better. For instance, based on the levels of activity and patterns of pain a person has, AI might suggest changing up daily activities or trying out certain exercises or ways to relax. This mix of wearable technology and AI could really help people dealing with chronic pain take control and make their lives better.

Patient-Centered AI Approaches

To really make a difference in managing long-term pain, it’s crucial to put the focus on what patients need and want. With AI systems, we can do just that by creating care plans tailored specifically for each person. This way, folks dealing with chronic pain can get more involved in their treatment, receiving updates and support when they need it most. On top of this, AI helps keep a steady conversation going between patients and their doctors. This means treatments can be tweaked as needed based on real-time feedback. By keeping the patient at the heart of everything, using ai systems leads to better results all around – making care more effective and centered around those who matter most.

Enhancing patient engagement through AI

AI can really help out with managing chronic pain by making it easier for patients to stay involved. With the use of AI systems, doctors and other healthcare workers can offer care that’s tailored just right and comes at the perfect time, which makes treatment work better and keeps patients happier. Through things like chatbots or virtual helpers powered by AI, people can get answers, find resources, or have someone to talk to right away without always having to go see their doctor in person. Plus, AI has this cool ability to look through stuff patients record themselves – like how they’re feeling each day or what activities they’ve been doing – so it can give advice that’s really meant just for them. By giving patients these tools driven by AI technology, they play a bigger role in handling their pain effectively which means sticking closer to their treatment plans and seeing better results overall.

Feedback loops between patients and AI systems

For managing chronic pain better, it’s really important to have a good back-and-forth between patients and AI systems. By always gathering data that patients provide and looking into it closely, AI can offer help right when it’s needed. For instance, things you wear like fitness trackers can keep an eye on how much pain you’re feeling, how active you are, and your sleep habits. Then, AI takes this info to figure out what might be causing more pain or what makes it better. This helps in giving advice that’s just for you. On top of this, these feedback loops let doctors keep track of how well treatments are working so they can make changes if needed quickly and see which methods work best. When patients work together with AI systems through these loops, dealing with chronic pain becomes a team effort which leads to getting better results for the patient.

Regulatory Landscape for AI in Healthcare

In the world of healthcare, rules about AI are changing to make sure patients stay safe and their private info is kept secret. Right now, there are some rules like HIPAA in the United States that say how patient data can be collected, stored, and used. These rules help keep patient information safe and secure. But as AI gets better and does more things in healthcare, we’re starting to see new rules made just for AI use. Looking ahead, it’s likely that these new guidelines will focus on making algorithms clear to understand while also tackling issues like bias prevention and thinking carefully about how using AI affects patient care.

Current regulations and standards

In the United States, rules and standards are super important for making sure AI is used safely and ethically in healthcare. The Health Insurance Portability and Accountability Act (HIPAA) lays down the law on how patient data should be handled – it’s all about keeping patient information private and secure. These rules require that certain steps are taken to protect this info. On top of that, groups like the Food and Drug Administration (FDA) keep an eye on AI medical devices and apps to make sure they’re up to snuff. For those working with healthcare organizations or providing AI tech, sticking to these guidelines is key for using AI responsibly, especially when it comes to managing chronic pain or other health issues.

Future directions for policy and compliance

With AI getting better and faster in the healthcare world, there’s a big need to think about what rules and guidelines we should follow. As these AI technologies keep changing, new kinds of rules that focus just on how we use AI in healthcare are starting to pop up. Looking ahead, there are a few important things these future guidelines will probably cover.

For starters, it’ll be really important for everyone to clearly see and understand how these algorithms work when they’re used for taking care of patients. Making everything more open will help doctors and their patients get why an algorithm suggests one thing over another. Then, there’s the issue of making sure no one is left out because of unfair biases hidden within these algorithms; so figuring out ways to stop this bias is key if we want everyone to get fair treatment.

Lastly, keeping an eye on ai systems regularly will make sure they stay in line with any new rules or standards as they come along. By tackling these issues head-on now,the health sector can really make the most outof using ai while also keeping patient safetyand privacy at the forefront.

Conclusion

In the world of healthcare, AI is changing how we handle chronic pain by creating tailored treatment plans and making it easier for patients to get involved. With AI getting better over time, it’s leading to smarter predictions and working smoothly with wearable tech. But, we’ve got to keep a close eye on ethics and keeping information safe so that AI can really make a difference in clinical settings. Looking ahead, there’s a lot of hope for using AI to improve care for chronic pain through exact treatments and virtual reality tools. By focusing on what patients need from AI technology, we’re looking at improving life quality for those dealing with chronic pain.

Frequently Asked Questions

How can AI improve the quality of life for chronic pain sufferers?

AI has the power to make life better for people who constantly deal with pain by creating treatment plans just for them, thanks to predictive analytics. With the help of analyzing big amounts of data and what patients share about their experiences, AI systems can spot trends and suggest specific ways to manage pain more successfully.

What are the limitations of AI in chronic pain management?

When it comes to managing chronic pain with AI systems, there are a few hurdles we can’t ignore. For starters, chronic pain is complex and how people feel pain varies from one person to another. This makes it tough for AI algorithms to always get it right when figuring out how much pain someone is in or the specific details of what they’re going through. On top of that, there are ethical issues we need to think about. These include making sure the AI doesn’t have any built-in biases and ensuring patients know what’s happening every step of the way (that’s informed consent). Another big deal is keeping patient information private since these ai systems need access to personal health data.

Key Highlights

  • In the healthcare world, artificial intelligence (AI) is making big changes, especially when it comes to managing long-term pain.
  • With AI tools like predictive diagnostics, natural language processing, and robotics, doctors are getting better at figuring out how to deal with pain.
  • Thanks to AI, there’s a chance for more accurate diagnoses. It also helps in keeping patients involved and tailoring treatments just for them.
  • There have been real examples where AI made things better in targeted medicine and even using virtual reality to help control pain.
  • By bringing AI into health tech more broadly. we’re looking at a future where dealing with chronic pain could get a lot easier.

Earn from Medicare’s Chronic Care Management Program! CCM made simple!

Chronic Care Management Services are delivered to Medicare beneficiaries with two or more chronic conditions with the goal of improving health and quality of care for high-need patients. As the population ages, FQHCs, RHCs, ACOs, hospitals, individual practitioners, etc. face the daunting challenge of improving the quality of care for chronically ill patients while containing costs.

The Centers for Medicare and Medicaid Services (CMS) say about 93% of total Medicare spending is on beneficiaries with multiple chronic conditions. Research has shown that highly fragmented care for Medicare beneficiaries with multiple chronic conditions is more likely to present in emergency rooms, and be admitted than others.

Despite the need for proactive care for chronic care management patients, a lot of the providers are still underutilizing this benefit. There are several reasons why providers like FQHCs, RHCs, ACOs, hospitals, individual practitioners, etc. have chosen to leave it on the table.

Complicated Process:

There are several rules physicians and practices have to follow to qualify for CCM reimbursement. CMS has set rules right from enrolling Medicare patients up to the necessary documents that have to be furnished for CCM reimbursement. Other mandatory requirements include providers offering CCM service, having access to patients’ health records, providing 24/7 access to care, providing care plans, and patients being able to reach providers to meet urgent care needs.

Time Consuming and involves additional costs:

Many providers feel offering CCM service is a time-consuming effort, and requires additional staffing. They find it difficult to document each of these and also provide quality care for their patients. Providers feel there is an increased administrative burden to managing and tracking CCM services, and it also involves additional costs.

Patients Consent:

Providers must identify Medicare eligible patients, explain CCM services, and get consent to enroll the patient and start the service. Providers must explain the required information in detail so that the patient can either accept or decline the service. 

Wait and See Approach:

Providers want to first see if the approach is effective before opting for it. Many providers and physicians wait to see if other providers who opt to provide the service have success with reimbursement before committing to participation in the program.

HealthViewX makes the Chronic Care Management process easier with the below features and makes reimbursement simple:

Automated Documentation for CMS Auditing

HealthViewX automates and streamlines the end-to-end CCM process. Integrates with softphones to accurately record the time spent on each call. It easily helps generate reports as per CMS requirements. 

Comprehensive Care Plan

Structured care plans are essential to help organize the coordination of actions for proper patient progression and self-management. The solution helps create condition-specific, personalized, and comprehensive care plans for each patient, including tasks and goals for both the patient and care coordinator track for better care coordination. Simplifies and streamlines workflow to guide tele-nurses in creating care plans. 

HIPAA Compliant

HealthViewX CCM follows HIPAA compliance requirements and guidelines. The solution lets you define the access, has user-specific access conditions, and provide secure access to patient records.

Analytics and Dashboard

Gives detailed actionable insights for better care coordination. Data can be visually represented, and users can gather detailed information by clicking the desired data. The dashboard also displays the follow-up reminders that can be set up by the user against each patient.

Take this simple step to improve health outcomes and reduce costs for patients with multiple chronic care conditions.

Schedule a demo and talk to HealthViewX solution experts today to discuss the CCM solution. Or simply outsource your CCM services. HealthViewX also provides end-to-end CCM services through our network of seasoned RNs and CMAs that enable you to increase your monthly reimbursements without incurring any additional cost of hiring additional staff or investing in technology solutions.

Chronic Care Remote Physiological Monitoring (RPM) and its Medicare Reimbursement Codes

Chronic Care Remote Physiological Monitoring (RPM) or Remote Patient Monitoring is a healthcare practice that involves the use of technology to monitor patients in a virtual manner. This practice has gained popularity in recent years and is being utilized with great success in the treatment of chronic care patients. 

how chronic care patients are benefited by rpm

Specifics of RPM

RPM is a form of real-time telehealth that employs the use of technology in the live collection of vital parameters such as heart rate, blood pressure, weight, or any other relevant measure. This information is then sent to health professionals, who can analyze the data and make informed decisions on the patient’s health. Another beneficial factor is RPM devices often notify both patients and care providers if any abnormal vitals are detected.

How do patients benefit from RPM?

An extensive RPM system gives patients increased access to healthcare. New innovations in the health-based tech industry have afforded patients with high-quality devices to track their health progress. Patients with chronic care conditions that require extensive care are able to monitor any changes to their health on a daily basis. The interactive nature of RPM allows patients to be more involved in their care. RPM is also proven to decrease both readmission and emergency situations. The combination of these factors ultimately results in higher patient satisfaction. 

how providers and patients are benefited by rpm

How do providers benefit from RPM?

RPM has given providers an opportunity to stay updated with their patients, even when they cannot physically meet with them. The rapid growth of RPM technologies has also presented care providers with additional streams of revenue. The CMS has recognized this and introduced new codes that provide reimbursement for virtual care related to RPM. RPM also increases the number of patients a clinic can serve as well as the efficiency of care.

RPM and COVID-19

The ongoing Covid-19 pandemic has brought an increased level of attention to RPM practices. Patients and providers with existing RPM infrastructure are greatly benefiting from the ability to monitor health through a virtual platform. Observing a successful model of RPM use during the pandemic will convince many providers to adopt such practices moving forward.  

Different Medicare CPT Codes within RPM

Care Providers can use the following CPT codes to generate revenue from the establishment and monitoring of RPM practices.

CPT 99453

CPT 99453 is an RPM code that is used when establishing RPM technologies and educating the patient about safe practices. In 2020, the average revenue received when issuing this code is $19. It must be noted that this code can only be issued one time when installing the necessary technology. Any additional support related to technology or patient education cannot be issued using this code.

CPT 99454

CPT 99454 is an RPM code that can be used to cover the transmission of biometric recordings and program alerts. ThIn 2020, the average revenue received when issuing this code is $64. The reimbursement cost also covers the cost of the device(s) involved in the care. This code is to be issued every 30 months. In order to issue this code, all RPM devices used in the care process must be FDA approved.

CPT 99457

CPT 99457 is an RPM code that can be issued for any care that is at least 20 minutes per month and is monitored by a qualified health professional. In 2020, the average revenue received when issuing this code is $52. This code covers any non-face-to-face interactions between providers and patients that involve the patient’s RPM progress. Providers must not issue CPT 99457 or any other code for any care that is less than 20 minutes per month.

CPT 99458

CPT 99458 is a new RPM code that addresses care provided by a qualified health professional for every additional 20-minute interval after the first 20 minutes of RPM services, which is currently billed under CPT 99457. This code came into effect on January 1, 2020, and has an estimated reimbursement rate of $42. This code must be used as an add-on to the existing RPM’s CPT 99457 for billing.

Challenges with RPM

Despite the previously mentioned benefits of an RPM scheme, there are still a few challenges that have prevented such programs from being widely accepted. 

challenges in implementing remote patient monitoring

Despite these challenges, RPM technology remains a promising force in the healthcare industry. Its revolutionary nature is reshaping the patient-provider relationship for the better. This care model will help move from reactive care to proactive care. Providing immediate attention will help reduce readmission rates, reduce hospital admissions, etc. thereby helps reduce the overall cost.

Schedule a demo and talk to our RPM solution experts and get your RPM started in a jiffy!

Preventive Care through Remote Patient Monitoring – Power of RPM

Understanding Preventive Care Services

Preventive Care services are to help people stay healthy and to detect or diagnose health-related issues early while there is a higher chance of recovery. Preventive Care Services include periodic health check-ups, patient counseling, and screening to prevent health-related issues.

Remote Patient Monitoring and Its Acceptance

Remote Patient Monitoring is a method of healthcare delivery that is a part of Telehealth technology to gather patient data outside the traditional care settings. It is the use of specific technology to simplify the interaction between providers and patients at a remote location (home, nursing care facility, remote area or anywhere outside of conventional clinical settings. Remote patient monitoring is one of the tools that can bridge the current gap in patient engagement.

Currently, 88% of hospitals are investing or considering to invest in remote patient monitoring. In fact, 68 percent of physicians “strongly intend” to use remote monitoring technology in the future, according to a new study by the Consumer Technology Association (CTA).


how Remote Patient Monitoring help patients and payers?

How does Remote Patient Monitoring help providers?

Providers can use remote patient monitoring to manage the health of high-risk patients, patients at-risk for hospital readmissions, monitor patients with chronic conditions, track patients post-discharge, check on senior patients, and to increase value-based care adoption. Remote Patient Monitoring helps providers detect any changes in patients before it shows visible symptoms.

Related Article: The Role of Referral Management in Value-Based Health Care

How does Remote Patient Monitoring help patients?

Patient participation in the remote monitoring program helps patients avoid unnecessary clinic visits and potential emergency department visits(ER Visits). Remote patient monitoring provides monitoring and support at home to help patients reach their healthcare goals.

How does Remote Patient Monitoring help payers?

Remote patient monitoring connects all involved in the care cycle - providers, patients, and payers. Communication and exchange of information is much quicker and transparent which can help prevent emergencies, hospitalization, reduce readmissions, and mainly reduce costs. According to the KLAS Research report that surveying 25 healthcare organizations found 38% of healthcare organizations running RPM programs focused on chronic disease reported reduced admissions, and 17% cited cost reductions.

With such benefits it’s quite easy to understand why remote patient monitoring is burgeoning. As the RPM technology adoption continues to expand, it helps to have a positive effect on patients, providers, and the payers.

Adoption of various healthcare technology solutions are driven by various underlying factors like increasing healthcare costs, rise in baby boomer population, chronic conditions, and many more. Out of which chronic conditions are considered to be one of the main factors that need attention. More than 133 million Americans representing 45% of the U.S. population have at least one chronic disease. Chronic diseases are responsible for seven out of every 10 deaths in the United States, killing more than 1.7 million Americans every year.

Are you planning for Remote Patient Monitoring, Chronic Care Management, Telehealth, Care Management, Referral Management, or other similar solutions? Schedule a demo today! We are here to help you get started!

Provide uninterrupted care for your chronic patients during a pandemic outbreak

The COVID-19 outbreak has placed an unprecedented demand on health systems. Health systems and health workers on the front line are swamped by a plethora of activities related to the pandemic like identifying and isolating infected patients, providing care to them, ensuring it doesn’t spread to other patients, and themselves. Due to this, the delivery of essential health services which communities expect from providers is at high risk.

Focusing on a pandemic contingency plan and providing continued care for other essential health services are equally important. This will not only help gain people’s trust in the health systems but also reduce mortality from other health conditions.

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

Why shift to Preventive Care?

Preventable hospital readmissions are estimated to account for more than $17 billion in Medicare expenditures each year, and some of those Medicare costs are passed on to hospitals in the form of penalties. High medicare costs are a direct consequence of low patient engagement. During this time of the COVID-19 crisis, it is more important than ever to manage patients with chronic conditions to reduce costs.

One of the key strategies for providers to help their chronic patients is extending chronic care management to their homes. Providers should take a more proactive role in keeping their patients engaged in the process of care to manage their chronic conditions in a better way.

In a survey conducted by West, only 39% of respondents admitted they were only somewhat knowledgeable, at best, about how to effectively manage their condition. There is a serious gap among patients when it comes to managing their chronic conditions. Patients may not know how to check their vitals, how to follow a specific diet for their medical condition, health alert threshold, might not know their care plan, etc. Getting patients to understand certain metrics is important for reducing complications of their condition.

Chronic care management is necessary for patients because chronic patients contribute to 75% of hospital visits. In one of the articles, it is said that patients enrolled in Chronic Care Management Programs had significantly fewer hospital readmissions than routine care patients had.

How CCM benefit patients?

Patients involved in CCM services are healthier and happier. Patients get involved and engage in the management of the day-to-day activities in their care. Even during this time of crisis, they feel cared and see their care coordinators as a supporter, and they don’t feel alone.

How does CCM help your practice?

By offering CCM practices will not only see improved quality metrics but also high returns. It is great to get paid for something that is already being performed by clinical staff. Chronic Care Management helps increase your practice’s revenue as the CCM program directly translates into higher revenue. The more patients enroll the more the revenue.

Apart from increased revenue Chronic Care Management has several successful outcomes like

  • Better patient satisfaction and outcomes
  • Increased patients' compliance with medication therapy
  • Reduced hospitalizations and emergency department visits
  • Improved clinical quality and metrics
  • Reduced clinical staff time

Enrolling more patients in CCM programs is just perfect for providers to take care of their chronic patients during this time of crisis.

Are you looking for Chronic Care Management for your patients?

Partner with HealthViewX to provide Chronic Care management. HealthViewX CCM offers both the solution and end-to-end service.

HealthViewX Chronic Care Solution Alone

Automates and streamlines the entire process, and makes it easier for your staff to provide CCM services seamlessly.

HealthViewX Chronic Care Management Full Service

HealthViewX also provides end-to-end CCM services through our network of seasoned RNs and CMAs that enable you to increase your monthly reimbursements without incurring any additional cost of hiring additional staff or investing in technology solutions.

Interested in learning more? Schedule a demo and talk to our solution experts. Our experts will help you implement the solution or service, and get your practice started in a jiffy to provide uninterrupted care for your patients!

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

Earn from Medicare’s Chronic Care Management Program! CCM made simple!

Chronic Care Management Services are delivered to Medicare beneficiaries with two or more chronic conditions with a goal of improving health and quality of care for high-need patients. As population ages, FQHCs, RHCs, ACOs, Hospitals, individual practitioners, etc. face the daunting challenge of improving quality of care for chronically ill patients while containing costs.

The Centers for Medicare and Medicaid Services (CMS) says about 93% of total Medicare spending is on beneficiaries with multiple chronic conditions. Research has shown that highly fragmented care for Medicare beneficiaries with multiple chronic conditions are more likely to present in emergency rooms, and be admitted than others.

In spite of the need for proactive care for Chronic Care Management Patients, a lot of the providers are still underutilizing this benefit. There are several reasons why providers like FQHCs, RHCs, ACOs, Hospitals, individual practitioners, etc. have chosen to leave it on the table.

Complicated Process:

There are several rules physicians and practices have to follow in order to qualify for CCM reimbursement. CMS has set rules right from enrolling Medicare patients up to the necessary documents that have to be furnished for CCM reimbursement. Other mandatory requirements include providers offering CCM service, should have access to patient’s health records, provide 24/7 access to care, provide care plans, and patients be able to reach providers to meet urgent care needs.

Time Consuming and involves additional costs:

Many providers feel offering CCM service is a time-consuming effort, and requires additional staffing. They find it difficult to document each of these and also provide quality care for their patients. Providers feel there is an increased administrative burden to managing and tracking CCM services, and it also involves additional cost.

Patients Consent:

Providers must identify Medicare eligible patients, explain CCM services and get consent to enroll the patient and start the service. Providers must explain the required information in detail where the patient can either accept or decline the service. 

Wait and See Approach:

Providers  want to first see if the approach is effective before deciding to opt for it. Many providers and physicians wait to see if other providers who opted to provide the service have success with reimbursement before committing to participation in the program.

HealthViewX makes Chronic Care Management process easier with the below features and makes reimbursement simple:

Automated Documentation for CMS Auditing

HealthViewX automates and streamlines the end-to-end CCM process. Integrates with softphones to accurately record the time spent on each call. It easily helps generate reports as per CMS requirements. 

Comprehensive Care Plan

Structured care plans are essential to help organize coordination of actions for proper patient progression and self-management. The solution helps create condition-specific, personalized and comprehensive care plans for each patient including tasks and goals for both the patient and care coordinator track for better care coordination. Simplifies and streamlines workflow to guide tele-nurses in creating care plans. 

HIPAA Compliant

HealthViewX CCM follows HIPAA compliance requirements and guidelines. The solution lets you define the access, have user-specific access conditions, and provides secure access to patient records.

Analytics and Dashboard

Gives detailed actionable insights for better care coordination. Data can be visually represented and users can gather detailed information by clicking the desired data. The dashboard also displays the follow-up reminders that can be set-up by the user against each patient.

Take this simple step to improve health outcomes and reduce costs for patients with multiple chronic care conditions.

Schedule a demo and talk to HealthViewX Solution experts today to discuss the CCM solution. Or simply outsource your CCM services. HealthViewX also provides end-to-end CCM services through our network of seasoned RNs and CMAs that enable you to increase your monthly reimbursements without incurring any additional cost of hiring additional staff or investing in technology solutions.