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AI, Cloud, Mobile and Reality Fuel Advances in Telemedicine 

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Accelerated by the pandemic, the move to telemedicine has been positively received by patients and is well-timed given requirements of the Cures Act. (Credit: Getty Images) 

By Scott Lundstrom, Analyst, Supply Chain Futures.  

The move to telemedicine and remote health has been dramatically accelerated in the wake of Covid-19. Issues that have delayed deployments for years are crumbling under the weight of pragmatic risk management for providers and patients as we try to come to grips with the pandemic. Issues around reimbursement, privacy, and parochial practice management have quickly been sidelined as both patients and providers try to craft a safer model for the delivery of patient care. This is both good practice and good business. Providers must try to find a way to more safely engage with patients if they hope to return to the pre-Covid volume of patients seeking health maintenance and elective procedures.   

In addition to pandemic pressures, the Office of the National Coordinator for Health Information’s (ONC) 21s Century Cures Act requires that providers and payers add significant new digital interaction requirements for their patients. This rule requires that a wealth of data, including most clinical notes and electronic health information must be shared with patients on demand for free. The act specifically requires that this data be available to a patient’s 3rd party application on a smartphone by May of 2022. This act is fueling a renewed focus on digital engagement with patients and rapid adoption of the HL7 FHIR (Fast Healthcare Interoperability Resources) standard.  

These market realities are fueling investment in what is quickly becoming known as the “Digital Front Door.” Providers are trying to create digital patient engagement to manage the actual interaction with patients by providers and clinical staff. Electronic scheduling of physical visits and tests, digital patient meetings, and remote telemedicine visits are all a priority now as we try to re-engage patients in their everyday preventive care and wellness. Cloud-based systems, mobile device support and AI are all fueling this change, and the technology is moving rapidly to fill these new requirements.  

When considering the impact of these forces it is important to understand the requirements and technologies that will drive and enable these changes. For healthcare technology customers and suppliers, the follow capabilities will be important components of a successful solution  

Components of Successful Healthcare Technology Solutions  

Intelligent schedulingThe ability to establish an appointment quickly and easily is a critical first requirement. This must be done simply via a mobile app. Cloud and analytics will play a key role here as sometimes complex combinations of staff, equipment, and facilities will need to be scheduled and reserved for the patient in a short window of time.  

Natural language processingIntelligent customer support in the form of chatbots utilizing natural language processing will be essential. Patients that require support for languages beyond English, and elderly or disabled patients will need additional assistance to be successful in moving to a digital platform for patient engagement.  

Image analytics and video conferencingVideo conferencing is at the heart of the virtual visit. Managing the meeting as an actual patient visit where we capture essential information and create a record of the encounter goes well beyond the capability of simple video conferencing. AI and video analytics will become an important part of adding these enhanced capabilities. In addition, digital imaging has become an important part of the visit, especially for conditions with visible symptoms like wound care and dermatology.  

Real time claim adjudicationHaving a digital record of the visit, coupled with AI and FHIR integration, should allow more real time claim adjudication between providers and payers. Payers can reduce the expensive denial management process, and providers can experience more efficient reimbursements as shared information requirements are developed to improve integration between parties in the healthcare supply chain.  

Internet of Medical Things (IoMT) devices and enhanced patient monitoringThere is an increasing number of new applications for patient wearables in monitoring disease. Real data from the patient on a 7×24 basis can quicken and improve the diagnostic process for a number of patient issues. A cloud-based system that collects and evaluates this data on a regular, automated basis will improve the care plan for many patients suffering from infrequent and difficult to diagnose symptoms, as well as patients suffering from chronic diseases.   

AI and automated machine learning (AutoML)More data creates more opportunities to improve practice and process with AI and AutoML. Best practices for remote care management and delivery can be more rapidly discovered, and medical errors can be more quickly detected. Changes to adopt new standards of care can be more quickly implemented and variability in care plans can be evaluated and if appropriate, changed to improve patient outcomes and reduce costs.  

Follow up and continuity of careAutomated validation and checking of care plans provided by AI and ML can reduce the number of patients that fall through the cracks in complex multi-party care plans. This will help to improve patient outcomes and provider revenues as well as reduce liabilities for omissions and obvious gaps in care.  

Improved patient experienceAnytime/Anywhere carePatients have been overwhelmingly positive in their reviews of their experiences with virtual visits. They are clear in their comments about increased satisfaction with the timeliness, ease and physical safety of virtual visits. 

For providers and payers this should be a wake-up call. These capabilities are quickly becoming table stakes in highly competitive markets. Suppliers are rushing to bring new capabilities to market and investors are funding a record number of companies in the telemedicine/telehealth market and driving rapid increases in M&A and new product launches.   

Scott Lundstrom is an analyst focused on the intersection of AI, IoT and Supply Chains. See his blog at Supply Chain Futures. 

Source: https://www.aitrends.com/features/ai-cloud-mobile-and-reality-fuel-advances-in-telemedicine/

AI

Intuit Set to Acquire Mailchimp for $12B in Cash and Stock

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Intuit (Nasdaq: INTU), the international tech platform that develops TurboTax, QuickBooks, Mint, and Credit Karma, reveals that it will be acquiring Mailchimp, an established customer engagement and marketing service for SMEs.

The planned Mailchimp acquisition for around $12 billion in cash and stock aims to support Intuit’s goal of promoting prosperity across the globe. It also supports the firm’s vision to become an AI-enhanced expert platform.

With the Mailchimp acquisition, Intuit should be able to accelerate its efforts to become the center of small business growth; and to transform the existing small business mid-market.

Intuit and Mailchimp aim to work cooperatively to offer a comprehensive and innovative customer growth platform for SMBs, enabling them to get their business online, promote their company, effectively manage client relationships, take advantage of insights and analytics, get paid, access funding, pay workers, enhance cash flow, be organized and remain compliant, with qualified professionals at their fingertips.

Delivering on the commitment to serve as the single source of truth, small and mid-market firms  will have the ability to bring together their customer data from Mailchimp and QuickBooks’ purchase data in order to access key insights they require to expand business operations.

Sasan Goodarzi, CEO of Intuit, stated:

“We’re focused on powering prosperity around the world for consumers and small businesses. Together, Mailchimp and QuickBooks will help solve small and mid-market businesses’ biggest barriers to growth, getting and retaining customers,”

Goodarzi added:

“Expanding our platform to be at the center of small and mid-market business growth helps them overcome their most important financial challenges. Adding Mailchimp furthers our vision to provide an end-to-end customer growth platform to help our customers grow and run their businesses, putting the power of data in their hands to thrive.”

Mailchimp brings to Intuit tech at scale and international customer reach. Established in Atlanta, GA in 2001, Mailchimp started providing email marketing services and evolved into a key player in client engagement and marketing automation supported by an AI-enhanced tech stack.

The planned acquisition should offer global customer reach with 13 million total users, 2.4 million monthly active users, and 800,000 paid clients; with 50% of customers residing outside the US. It may also provide data and tech in the form of 70 billion contacts, and 250+ rich partner integrations.

Ben Chestnut, CEO and Co-founder of Mailchimp, remarked:

“Over the past two decades, we’ve vastly expanded and evolved Mailchimp’s platform to help millions of small businesses around the world start and grow. With Intuit, we’ve found a shared passion for empowering small businesses. By joining forces with Intuit, we’ll take our offerings to the next level, leveraging Intuit’s AI-driven expert platform to deliver even better products and services to small businesses. This is an exciting new chapter for Mailchimp, our 1,200+ dedicated employees, and customers.”

Intuit and Mailchimp have always worked consistently to address small and mid-market companies’ main challenges. For two-thirds or over 66% of small businesses, finding customers remains their primary obstacle and more than 25% report struggling to retain clients, but nearly three-quarters or 75% of small businesses are not leveraging a customer relationship management service.

Around 84% of small businesses are reportedly using pen and paper or spreadsheets to reconcile  inventory and about 50% of small companies fail within the first 5 years, mainly because of  cash flow issues. These problems lead to significant barriers for small and mid-market firms’ success that Intuit’s acquisition of Mailchimp will address.

Alex Chriss, EVP and GM of the Intuit Small Business and Self-Employed Group, noted:

“Together, Mailchimp and QuickBooks will become a powerful engine for small and mid-market business customers to get, engage and retain their customers, run their businesses, optimize cash flow and remain compliant. Today, QuickBooks helps more than 7 million small and mid-market businesses get paid fast, access capital, pay their employees and grow in an omni-channel world. Mailchimp’s addition will bring speed and velocity to these efforts, with the acceleration of mid-market expansion opportunities and global growth for both brands.”

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
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Source: https://www.crowdfundinsider.com/2021/09/180358-intuit-set-to-acquire-mailchimp-for-12b-in-cash-and-stock/

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AI

Robots to the Rescue: How Robotics Save Lives During a Crisis

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The reality of artificial intelligence (AI) and robotics is something that is revolutionizing how we all work, and play.  But new technologies are starting to make a dynamic impact on saving lives too. For example, robotic technology in the healthcare industry has been crucial in saving lives by detecting diseases, aiding in surgeries, and patient rehabilitation. 

“Today, robotics is also starting to lead the way for first responders; essentially protecting and rescuing people in critical circumstances. ” 

Read further about how robots are coming to the rescue in life-threatening situations.

How First Responders Save Lives Using Robotics

Emergency responders, firefighters, and law enforcement officials often pay the ultimate price to keep communities safe and rescue people in dire situations. Nothing can replace these brave men and women who risk their lives every day. 

However, robotics are increasingly lending aid to first responders, making their jobs easier and increasing the success rate of rescues.  Here are a few examples of how robots are changing the way emergency responders save lives in times of crisis.

Law Enforcement and Bomb Threats: While the use of robotics in law enforcement might be a polarizing topic of debate, there’s no denying they can play a positive role in saving lives. For instance, robots are pivotal in the event of bomb threats and detection. 

These bomb-rescue bots are uniquely designed to detect incendiary and explosive devices and they can also disable, dispose or safely deploy life-threatening bombs.  In fact, a tactical robot helped capture the Boston Marathon bombing suspect, Dzhokhar Tsarnaev.

Search and Rescue:  Robots are increasingly paving the way to searching out victims in disaster situations.  For example, search and rescue robots were a critical advantage to searching for survivors through the rubble after the devastation of 911.  Roaming robots and micro-robots are able to enter areas inaccessible to first responders, such as collapsed buildings, hazardous building fires, confined spaces, or unbreathable conditions.

Water Rescues:  Any first responder will tell you that water rescue situations pose extreme challenges.  The risk of drowning or getting hypothermia in cold waters makes rescuing survivors at sea a harrowing proposition.  However, water rescue robots can be released into treacherous waters to save the day.  These resilient bots are impervious to dangerous water conditions. They are directed to survivors and serve as a buoy or flotation device, allowing survivors to grab hold and be transported to the safety of an emergency vessel or helicopter.  Thanks to these tough water rescue robots, the survival rate in water accidents is greatly increased.

Hazardous Environments:  Specialized robotic devices such as the Sarcos inspection bot can be sent into potentially hazardous environments. Powerful robots like these are responsible for saving lives because of their advanced hazmat applications. These life-saving machines detect radiation levels or other hazardous conditions and report back to the operator, informing them if conditions are safe to enter.  For example, inspection robots were used in cleanup efforts and measuring radioactivity after the Fukushima Daiichi nuclear disaster in 2011.  

Warfare:  Robots have been cited for saving lives in times of war by detecting bombs, maintaining safety zones, and clearing areas littered with potential hazards.  For example, in WWII, booby traps were put into play and triggered by a hidden sensor. This covert tactic ended the lives of many unsuspecting soldiers. Today, similar bomb traps are used by enemy factions, and military robots effectively sniff out these hidden threats.  Military robots utilized during wartime have significantly reduced the loss of a soldier and civilian lives.

Natural Disasters:  Some rescue robots are specially designed to manoeuvre in places impossible to reach by humans. They are also equipped with camera feeds that inform operators about conditions and potential survivors after a natural disaster.  For instance, emergency responders deployed robots after the catastrophic 7.1 magnitude earthquake that shattered the city of San Juan Raboso in central Mexico in 2017.  These rescue robots snaked their way through the debris to assess damages and they were also crucial in finding survivors in this disaster.

More Robot Rescues on the Horizon

These are just a few examples of how robots can save lives during a crisis – and it’s just the beginning.  As technology continues to improve, the world will see more advanced rescue robots on the scene and helping save lives when calamity strikes.  While the human element is incomparable when it comes to rescuing and saving lives, robots play a pivotal role in making the world a safer, better place in which to live.

Also, Read Impact of Robotics Technology on Health Care

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.aiiottalk.com/how-robotics-save-lives-during-crisis/

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AI

Robots to the Rescue: How Robotics Save Lives During a Crisis

Published

on

The reality of artificial intelligence (AI) and robotics is something that is revolutionizing how we all work, and play.  But new technologies are starting to make a dynamic impact on saving lives too. For example, robotic technology in the healthcare industry has been crucial in saving lives by detecting diseases, aiding in surgeries, and patient rehabilitation. 

“Today, robotics is also starting to lead the way for first responders; essentially protecting and rescuing people in critical circumstances. ” 

Read further about how robots are coming to the rescue in life-threatening situations.

How First Responders Save Lives Using Robotics

Emergency responders, firefighters, and law enforcement officials often pay the ultimate price to keep communities safe and rescue people in dire situations. Nothing can replace these brave men and women who risk their lives every day. 

However, robotics are increasingly lending aid to first responders, making their jobs easier and increasing the success rate of rescues.  Here are a few examples of how robots are changing the way emergency responders save lives in times of crisis.

Law Enforcement and Bomb Threats: While the use of robotics in law enforcement might be a polarizing topic of debate, there’s no denying they can play a positive role in saving lives. For instance, robots are pivotal in the event of bomb threats and detection. 

These bomb-rescue bots are uniquely designed to detect incendiary and explosive devices and they can also disable, dispose or safely deploy life-threatening bombs.  In fact, a tactical robot helped capture the Boston Marathon bombing suspect, Dzhokhar Tsarnaev.

Search and Rescue:  Robots are increasingly paving the way to searching out victims in disaster situations.  For example, search and rescue robots were a critical advantage to searching for survivors through the rubble after the devastation of 911.  Roaming robots and micro-robots are able to enter areas inaccessible to first responders, such as collapsed buildings, hazardous building fires, confined spaces, or unbreathable conditions.

Water Rescues:  Any first responder will tell you that water rescue situations pose extreme challenges.  The risk of drowning or getting hypothermia in cold waters makes rescuing survivors at sea a harrowing proposition.  However, water rescue robots can be released into treacherous waters to save the day.  These resilient bots are impervious to dangerous water conditions. They are directed to survivors and serve as a buoy or flotation device, allowing survivors to grab hold and be transported to the safety of an emergency vessel or helicopter.  Thanks to these tough water rescue robots, the survival rate in water accidents is greatly increased.

Hazardous Environments:  Specialized robotic devices such as the Sarcos inspection bot can be sent into potentially hazardous environments. Powerful robots like these are responsible for saving lives because of their advanced hazmat applications. These life-saving machines detect radiation levels or other hazardous conditions and report back to the operator, informing them if conditions are safe to enter.  For example, inspection robots were used in cleanup efforts and measuring radioactivity after the Fukushima Daiichi nuclear disaster in 2011.  

Warfare:  Robots have been cited for saving lives in times of war by detecting bombs, maintaining safety zones, and clearing areas littered with potential hazards.  For example, in WWII, booby traps were put into play and triggered by a hidden sensor. This covert tactic ended the lives of many unsuspecting soldiers. Today, similar bomb traps are used by enemy factions, and military robots effectively sniff out these hidden threats.  Military robots utilized during wartime have significantly reduced the loss of a soldier and civilian lives.

Natural Disasters:  Some rescue robots are specially designed to manoeuvre in places impossible to reach by humans. They are also equipped with camera feeds that inform operators about conditions and potential survivors after a natural disaster.  For instance, emergency responders deployed robots after the catastrophic 7.1 magnitude earthquake that shattered the city of San Juan Raboso in central Mexico in 2017.  These rescue robots snaked their way through the debris to assess damages and they were also crucial in finding survivors in this disaster.

More Robot Rescues on the Horizon

These are just a few examples of how robots can save lives during a crisis – and it’s just the beginning.  As technology continues to improve, the world will see more advanced rescue robots on the scene and helping save lives when calamity strikes.  While the human element is incomparable when it comes to rescuing and saving lives, robots play a pivotal role in making the world a safer, better place in which to live.

Also, Read Impact of Robotics Technology on Health Care

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.aiiottalk.com/how-robotics-save-lives-during-crisis/

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Artificial Intelligence

How Blockchain Improves Trust in AI

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Blockchain and artificial intelligence or AI are reshaping all aspects of our daily lives. Both technologies influence the way we work, travel, and spend our free time. And even though we may not always be aware of its impact, the pair is powering innovation across a broad range of industries.

That said, these are challenging technologies to adopt and implement. But that won’t do anything to prevent the merger between AI and blockchain, which is revolutionizing everything from finance and energy to healthcare and real estate. Moreover, the dual technologies are paving the way for new business models, especially when combined with another megatrend reshaping our world – IoT.

Businesses that employ AI-based technology are able to process massive amounts of data. AI acts like a human brain but is more sophisticated and faster. Today, AI is used in many businesses and serves different purposes. Some of the more prominent examples include chatbots or smart assistants (Siri and Alexa).

But there are some downsides. AI technologies are centralized, meaning that end-users are at the mercy of giant corporations like Amazon, Apple, and Google and need to trust the companies not to take advantage of their data.

Unlike AI, blockchain is a decentralized ledger that keeps records of data that can’t be changed manually. Blockchain technology doesn’t allow any kind of data manipulation, like editing or accessing data by multiple authorities. This is why blockchain is widely used in the field of cybersecurity, for online transactions, and many other industries focused on ensuring data privacy.

When combined with AI technologies, blockchain injects the desperately needed element of trust for end-users. AI has three important parts – data, model, and analytics. By decentralizing all three components with the support of blockchain, AI-based businesses are able to offer their customers more transparency and accuracy in terms of results.

AI-based businesses are capable of analyzing a large amount of both structured and unstructured data. This is one of the main reasons why many industries and companies of all sizes adopt AI technology. However, the accuracy of the decisions made based on the AI-implemented technologies requires scrutiny. Enter blockchain.

In short, blockchain implementation in AI technologies ensures transparency, enhances the decision-making process, improves accessibility, and advances smart contracts.

Other notable benefits to businesses that stem from the co-evolution of these technologies include the reduction of potential risks and ensuring that data can’t be edited and filtered virtually.

In the near future, the merger of AI and blockchain is expected to expand further, along with their implementation in different businesses together with IoT. According to expert predictions, these technologies will continue to act as a major contributor to ensuring the quality, accuracy, and privacy of data. 

Image Credit: https://wallpaperaccess.com/blockchain-technology

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://datafloq.com/read/how-blockchain-improves-trust-ai/17899

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