Posts Tagged ‘artificial intelligence’

Infographic: How Much Denied Claims Are Costing Providers

June 28th, 2019 by Melanie Matthews

On average, 5 percent to 10 percent of healthcare claims are denied, and 65 percent of these are never resubmitted, according to a new infographic by Change Healthcare.

The infographic illustrates how much denied claims are costing providers, how much providers must spend to get paid, and how artificial intelligence can help predict which claims are at risk for denial prior to submission.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

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Guest Post: Artificial Intelligence’s Impact on the Future of Patient Care

June 11th, 2019 by Steve Bradshaw

Healthcare organizations that adopt AI will become more efficient; their professional judgments will become more accurate and their health predictions better informed.

In the near future, applications of artificial intelligence (AI) will play an increasingly important role in healthcare services. AI’s ability to assist in managing electronic health records, as well as in diagnosing and treating patients, will prove too valuable for healthcare providers and administrators to ignore. By adopting AI, their operations will become more efficient, their professional judgments more accurate, and their health predictions better informed.

Making Electronic Health Records Management More Flexible

Electronic health record (EHR) systems are expensive to maintain and cumbersome to use. AI is already being applied to make EHR systems more efficient. AI can extract and index information from provider notes and help personalize treatment plans. In the near future, AI could make it easier for providers to continually customize their EHR systems to better meet the changing needs of their practices to save time and improve patient outcomes.

Improving Diagnoses and Treatment

Computers can analyze massive amounts of data. They also excel at recognizing patterns. Put these two abilities together, and you get AI’s extraordinary power to successfully perform tasks that previously required human intelligence—in some cases, even surpassing humans in accuracy.

In a process called “deep learning,” scientists train AI systems using large amounts of labeled data. The AI is then able to identify patterns by itself when given data to which it hasn’t yet been exposed. In healthcare, deep learning will train AI systems to help clinicians provide more accurate diagnoses, identify patients at risk of various diseases and conditions, and create individualized treatment plans.

A recent study found that AI outperformed radiologists at finding cancer on CT scans used to screen smokers for lung cancer. When prior scans were not available, the AI did better than all six radiologists in the study, coming up with both fewer false positives and fewer false negatives. When there were prior images, the AI and the radiologists were equally accurate. Although this was a preliminary study, it shows how near-future applications of AI can provide clinicians with more accurate diagnostic and predictive information than is available to them now. The results of this study also may enable radiologists to make more frequent life-saving identifications of early-stage cancer and other diseases.

In addition to reading images, AI will be able to extract useful information from patients’ medical records. By finding patterns in the medical histories, AI could provide warnings when patients are at risk of developing conditions such as sepsis, diabetes or heart disease. An area of intense interest now is using AI to identify which patients are most at risk of being re-admitted to a hospital after being discharged.

AI may also reduce the amount of trial and error involved in prescribing medications and other treatments. It can help identify the treatments most likely to succeed based on each patient’s unique combination of genes, medical history and environmental influences.

The Time Is Right

In the past, there was more resistance to using AI in healthcare. Now, providers and the public are increasingly ready to accept the use of this cutting-edge technology to make healthcare administration more efficient and providers’ decisions more accurate.

Healthcare professionals are seeing what AI can bring to their practices. At the same time, the public has gotten used to the idea of self-monitoring their health using smartphones and smart watches. More work still needs to be done to implement industrywide standards and to safeguard patient privacy, but the benefits of AI in healthcare now appear overwhelming. It is inevitable that healthcare providers and organizations will soon come to increasingly rely on AI applications.

This could be just the beginning. How well AI can “think” depends in large part on how much computing power is available — and that power is increasing exponentially.

Healthcare in the more distant future may include AI applications that we can’t even imagine now. In the meantime, healthcare providers and administrators may soon enjoy greater efficiency and cost containments, while patients could benefit from more accurate diagnoses and effective treatments.

Sources

https://www.nytimes.com/2019/05/20/health/cancer-artificial-intelligence-ct-scans.html
https://www.nature.com/articles/s41591-019-0447-x
https://hbr.org/2018/12/using-ai-to-improve-electronic-health-records
https://becominghuman.ai/the-role-of-ai-in-healthcare-technology-6c33a6eee18c
https://www.internationalsos.com/client-magazines/in-this-issue-3/how-ai-is-transforming-the-future-of-healthcare
https://www.appian.com/blog/the-growing-role-of-ai-in-healthcare/

About the Author: Steve Bradshaw began working in the medical gas and environmental industry in 1991, starting Evergreen Medical Services, Inc. in the Carolinas in 1997.

Infographic: Healthcare Artificial Intelligence Trends

June 7th, 2019 by Melanie Matthews

Healthcare is a key sector for artificial intelligence (AI), and one of the most active research and development domains. From predicting disease progression to drug development, image recognition and diagnostics, AI could make healthcare more accurate, cheaper and available to more people, according to a new infographic by The Economist Intelligence Unit.

The infographic examines key AI trends in healthcare, including details on adoption, potential benefits and healthcare organization’s top AI concern.

Remote Patient Monitoring for Chronic Condition Management: Leveraging Technology in a Value-Based System Encouraged by early success in coaching 23 patients to wellness at home via remote monitoring, CHRISTUS Health expanded its remote patient monitoring (RPM) enrollment to 170 high-risk, high-cost patients. At that scaling-up juncture, the challenge for CHRISTUS shifted to balancing its mission of keeping patients healthy and in their homes with maintaining revenue streams sufficient to keep its doors open in a largely fee-for-service environment.

Remote Patient Monitoring for Chronic Condition Management: Leveraging Technology in a Value-Based System chronicles the evolution of the CHRISTUS RPM pilot, which is framed around a Bluetooth®-enabled monitoring kit sent home with patients at hospital discharge.

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Infographic: 3 Ways Healthcare is Improving With AI and Deep Learning

April 10th, 2019 by Melanie Matthews

Artificial intelligence (AI), combined with deep learning, has the vast opportunity to quickly sort through data and provide insights that can be used to automate tasks and make faster decisions than ever before, which is especially impactful in the healthcare industry, where these capabilities are improving patient outcomes, according to a new infographic by NetApp.

The infographic examines three ways AI is changing healthcare.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: How Artificial Intelligence Can Transform Healthcare Risk Adjustment

April 1st, 2019 by Melanie Matthews

To receive funding for serving high-risk patient populations, healthcare payers must prove their population risk scores, according to a new infographic by Change Healthcare LLC.

The infographic examines how artificial intelligence improves a healthcare organization’s ability to risk score a patient population.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: 9 Ways in Which AI Is Transforming Healthcare

February 8th, 2019 by Melanie Matthews

Given the huge potential of artificial intelligence (Al), it is transforming the healthcare industry, performing human tasks more efficiently, more quickly, and at a lower cost, according to a new infographic by Cognilytica.

The infographic identifies 9 ways in which AI is transforming healthcare.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: Natural Language Processing in Healthcare

December 12th, 2018 by Melanie Matthews

Artificial intelligence (AI) is increasingly being adopted across the healthcare industry, and some of the most exciting AI applications leverage natural language processing (NLP), according to a new infographic by McKinsey&Company.

The infographic details NLP use cases for healthcare payers and providers as well as a case study describing how NLP can be used to accelerate benchmarking clinical guidelines.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Infographic: Five Key Trends in Healthcare Artificial Intelligence

November 2nd, 2018 by Melanie Matthews

Artificial intelligence (AI) in healthcare could be a game changer that could allow for reductions in healthcare costs as well as workload reduction for physicians, which can result in clinical trial optimization and better early diagnostics, according to a new infographic by Arithmos.

The infographic examines five key AI trends in healthcare that have the potential to revolutionize healthcare.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Guest Post: How Conversational AI Will Improve the Standard of Healthcare

October 9th, 2018 by Ram Menon

Conversational AI will be the crucial part in improving what is known as “retail” healthcare as well as the bulk of interactions patients have with the healthcare system.

In the past year, there have been countless stories on how artificial intelligence (AI) will change the healthcare system. Some of the headlines from the past few months include AI that can detect skin cancers as accurately as trained physicians; AI that allows for more precise X-ray readings and AI systems that can scan for signs of diabetic retinopathy. A brave new world of healthcare is developing each day; recent reports indicate that the AI health market could be worth more than $34 billion by 2025.

Conversational AI—a system that allows computers to speak to humans in lifelike ways—is an integral part of the changes in the healthcare industry that isn’t discussed as often. Nonetheless, it will be the crucial part in improving what is known as “retail” healthcare as well as the bulk of interactions patients have with the healthcare system.

Conversational AI offers a standard of personalized care unavailable now with existing resources. In the coming years, it will help reduce the number of visits to doctors and ensure patients only need to visit emergency rooms during an actual emergency, and provide a universal standard of personalized care now available to very few patients.

Here are the ways conversational AI is improving healthcare as we speak and what we can expect soon.

Conversation AI Remakes Provider Access:

Here’s what happened in the past when you had a non-emergency medical issue: you left a message for your doctor and waited days for them to call back. With conversational AI you can reach your provider at any point, perhaps to send them a message or a photo of a condition or side effect you want to be checked. You can also book an appointment based on a doctor’s name and expertise. Virtual medical assistants will soon be available on channels like Google Home, Alexa, and elsewhere.

Conversational AI offers access that isn’t intrusive to a provider and yet gives patients ease of mind that their concerns will be answered in a timely fashion. In the future, virtual assistants will take that a step further by confidentiality tracking conversations between doctors and patients, possibly even using that to create a patient chart.

Conversational AI Will Help Medication Management, Claims Processing:

If you suffer from a chronic condition like diabetes or arthritis it’s easy to get bewildered by complicated instructions on how and when to take medications or when to follow up on troublesome symptoms. With conversational AI, a virtual assistant can offer reminders about taking medication, answer basic questions about conditions even direct patients to advice on how to improve their wellness and information on lifestyle changes.

Healthcare maintenance is often about the small things that people overlook because they can’t get a simple answer. That could mean finding out if they should take antibiotics with a meal or on an empty stomach or simple resources on getting active. Providing a better way to quickly but accurately follow healthcare plans can reduce an enormous burden on both the patient and the system.

Keeping on top of health insurance claims is also a challenge. Using a virtual assistant, healthcare members can check their existing coverage, file for claims, and track the status of their claims. In many cases, they can do it when they are still visiting the doctor or getting help.

In The Future— Virtual Urgent Care:

Many healthcare providers and HMOs have software in place that allows nurses to meet “virtually” with a patient using a video system that works much like Skype. Technology is in the works that will allow a virtual assistant to diagnose certain conditions and provide limited care. For example, a patient reporting symptoms of a urinary tract infection—a common illness in women—could describe symptoms to the virtual assistant. The assistant could prescribe antibiotics you could pick up at your local pharmacy. This is much easier than an in-person visit, which is often unnecessary for routine conditions.

Ram Menon

Ram Menon

About the Author: Ram Menon is the CEO and co-founder of Avaamo. Previously, he was president of social computing at TIBCO. He founded the division and built the business from scratch into a leader in social business software with nine million paid users in just two years. Prior to joining TIBCO, Ram was with Accenture, a global consulting firm, where he specialized in supply chain and e-commerce strategy consulting with Global 500 companies.

Infographic: How Is Artificial Intelligence Working for Healthcare?

October 5th, 2018 by Melanie Matthews

Artificial intelligence (AI) has left behind its sci-fi legacy to become a transformative technology in a modern digital age. A range of possibilities exists for AI in healthcare, according to a new infographic by Optum, Inc.

The infographic defines AI and then examines the value of AI in healthcare as well as planning for healthcare AI.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics.

Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.