AI News, 7 Popular Applications of Artificial Intelligence in Healthcare
- On Friday, July 6, 2018
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7 Popular Applications of Artificial Intelligence in Healthcare
With the advent of automation, artificial intelligence( AI), and machine learning, we hear about their applications regularly in news across industries.
Various organizations with ties to healthcare are leveraging the advances in artificial intelligence algorithms for remote patient monitoring, medical imaging and diagnostics, and implementing newly developed sophisticated methods, and applications into the system.
The existence of medical consultation apps like DocsApp allows a user to talk to experienced and specialist doctors on chat or call directly from their phone in a private and secure manner.
AI also aids in treatment design like analyzing data, making notes and reports from a patient’s file, thereby helping in choosing the right customized treatment as per the patient’s medical history.
Various medical tasks like analyzing X-Ray reports, test reports, CT scans and other common tasks can be executed by robots and other mechanical devices more accurately.
Even in the recent outbreak of the Ebola virus, AI was used for drug discovery, to redesign solutions and to scan the current existing medicines to eradicate the plague.
AI helps in spotting carcinogenic and cardiovascular disorders at an early stage and also aids in predicting health issues that people are likely to contract due to hereditary or genetic reasons.
Further, this also helps in detecting serious medical problems and tracking patients medicine adaptability and participants behavior in certain scientific trials.
The ultimate goals being to improve patient experience, build a better public health management and reduce costs by automating manual labor.
70+ Companies Driving the Future of Healthcare Technology
We need it to help clinicians work more efficiently and health systems improve their services, but most importantly, we need technology in order to give patients the best possible care.
The lack of technology in healthcare is not for lack of the technology itself—there are literally thousands of companies who have developed brilliant ways to improve clinician workflows and patient care. The problem is that healthcare uses legacy systems which aren’t compatible with today’s technology, and overhauling an entire industry to be more technologically advanced isn’t as easy as it sounds ( …and it doesn’t even sound easy in the first place).
The truth is that we’re in the middle of a healthcare technology revolution, and while that sounds grandiose, all it means is that we’re figuring out how to implement more advanced ways of taking care of people in an industry that isn’t designed to accept new tools easily.
iRhythm Technologies — iRhythm is a digital healthcare company redefining the way cardiac arrhythmias are clinically diagnosed by combining our wearable biosensing technology with cloud-based data analytics and machine- learning capabilities.
Zephyr Health — Zephyr Health’s technology is a unique combination of patented, machine learning algorithms that create predictive insights using global health data for every major treatment area using thousands of connected data sources – public, private and vendor.
is a healthcare information technology company committed to providing healthcare organizations with knowledge-enabled tools that empower them to track, manage, and automate key administrative and financial services.
Reflexion Health — Their mission is to transform healthcare delivery and redesign patient care, exploiting appropriate technology to educate, motivate, measure, manage, and report—all to ease the patient’s journey, amplify the clinician’s impact, and speed recovery.
iMedX — Through its continuously growing technological capabilities, iMedX offers a full suite of high-value revenue cycle management solutions including medical transcription and coding services, results-based consulting, education and training opportunities, and data analytics.
Pocared Diagnostics — Pocared Diagnostics developed P-1000™, a tool that uses the unique physical properties of intrinsic fluorescence to provide the fully automated, direct specimen, CULTURE-FREE Microbiology® and reagent-free solution for microorganism detection, identification and enumeration.
Bay Labs — Bay Labs brings deep learning advances to critical unsolved problems in healthcare, specifically in cardiovascular imaging and care to combat heart disease, the leading cause of death worldwide.
Pieces Technologies — Pieces Tech reimagines the intersection of healthcare and technology buy building software that interprets patient data in real-time, transforming billions of points into warning tools that can save lives and strengthen communities inside and outside of hospital walls.
Evena Medical — Evena’s patented technology replaces the traditional system of vein finders — hands-on, unguided needle insertion by feel – with a modern-day guidance system that matches multispectral viewing with ultrasound to show veins precisely where they are in a crisp, clear, storable and shareable image.
Clinipace — Clinipace uses a proprietary, comprehensive technology platform to support patient enrollment, project management, site selection and management, data capture, data management, monitoring and biostatistics to improve collaboration and data visibility.
Casenet — Casenet provides a highly scalable, flexible and extensible, enterprise care management platform which enables our customers to improve individual and population health through better care coordination, improved quality and more efficient care delivery.
medCPU — medCPU captures the complete clinical picture from clinicians’ free-text notes, dictations, discharge summaries and structured documentation entered into any EMR and analyzes it against a growing library of best-practice content, generating real-time precise prompts for best care consideration.
Prematics — Prematics developed ScriptTone a reliable and highly secure service empowers physicians at the point-of-care to prescribe the most clinically appropriate and cost-effective prescription. ScriptTone benefits all of the key industry stakeholders by driving patient safety, lowering costs, and streamlining fulfillment.
HNI Healthcare — HNI Healthcare’s technology, consulting and management services align processes, protocols, communication, and clinical best practices within hospital-based medicine, helping medical systems identify and correct clinical and operational issues to gain financial strength.
Health Fidelity — Health Fidelity transforms risk adjustment by offering a combination of technology and expertise that enables organizations participating in Medicare Advantage, ACA commercial, Managed Medicaid, or Medicare ACO programs to transform an otherwise manual risk adjustment process into an integrated workflow.
PharmEasy — PharmEasy delivers medicine to people’s doorstep at a 20% discount within 24 hours of placing the order and additionally provide home-based diagnostic test services at more than 40% discount.
Cureatr — Cureatr’s notifications alert clinicians and payers in real-time on mobile or desktop applications when an attributed patient or member is receiving care anywhere within a region, and delivers necessary information that is essential to reducing preventable hospitalizations and avoiding readmissions.
Fruit Street Health — Fruit Street is a telemedicine software product that is licensed to healthcare professionals which allows them to conduct HIPAA compliant video consultations with their patients and monitor their patients’ health, diet, and lifestyle using medical and wearable devices.
Truveris — The Truveris platform empowers clients – from the individual patient to pharmacy benefits stakeholders – with the tools to more effectively and efficiently manage the complexity and rising costs of prescription drugs today.
Created by physicians and developed in close collaboration with leading medical centers, REACH helps hospital networks and accountable care organizations achieve measurable improvements in their clinical, operational and financial performance.
Verisma Systems — Verisma’s helps healthcare organizations and providers streamline and automate their Release of Information (ROI) processes via a patented, cloud based ROI System that automates workflows to improve turnaround times, reduce errors and drive down costs.
HIT Think Three rising technologies that will impact healthcare in 2018
2018 is going to see interoperability come even more to the forefront as regulatory action, pressure from value-based payment and delivery models, and deeper partnerships between physicians and payers bring the needs for sharing health data into sharp focus.
is likely to interfere with, prevent or materially discourage access, exchange or use of electronic health information” if that practice is known by a developer, exchange, network or provider as being likely to “interfere with, prevent, or materially discourage the access, exchange or use of electronic health information.” HHS has a big pile of work to do on interoperability issues in the next few years.
The Office of the Inspector General at HHS, which will be the enforcement arm investigating possible information blocking violations, is waiting for such rulemaking to work through process and become final—hopefully early in 2018 to provide some stability to the market.
The law actually calls for ONC and the National Institute of Standards and Technology (NIST) to collaborate on a set of policies that will establish a trusted and voluntary framework capable of sharing health information across networks while still protecting proprietary information.
do not expect 2018 to be year that the federal government solves healthcare interoperability—as a matter of fact, the solutions lie in the private market with a light regulatory touch from the government.
ONC acts best in the role of convening and collaborating with the private market to solve the pressing issues facing our nation as we attempt to transform the system to one that pays for quality of care, not quantity.
In “Practical Blockchain: A Gartner Trend Insight Report” Gartner predicts that: Gartner analysts further state that blockchain technologies: Since blockchain is an alternate computing model that uses distributed and decentralized computing networks to potentially offer greater levels of security and lower costs than traditional methods, this would seem to be tailor made for healthcare uses cases.
The Allied Control white paper estimates Bitcoin mining alone consumes 250-500 megawatts Blockchain offers a new way to manage trust between untrusted parties by supporting an immutable record of transactions and other types of value exchange;
The most important consortia at this time is the Hyperledger Project, an umbrella project of open source blockchains and related tools, started in December 2015 by the Linux Foundation, to support the collaborative development of blockchain-based distributed ledgers.
According to an article in Harvard Business Review by John Halamka, MD, and others, there are five basic principles underlying blockchain technology: a distributed database, peer-to-peer transmission, transparency with pseudonymity, irreversibility of records and computational logic.
Areas such as automated claims adjudication, revenue cycle management, provider licensure and credentialing, pharma supply chain management and medication monitoring, along with possibilities in clinical trials, are likely to be adopted within the next three to five years.
Examples of current blockchain efforts in the healthcare space include: Artificial IntelligenceI’ve theorized over the last five years that we have been moving through three waves in digital health: data collection, data sharing and data analytics.
Big Data and Artificial Intelligence Will Revolutionize our Lives
There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution, which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.
In 2013, it encompassed 4.4 zettabytes, however by 2020 the digital universe – the data we create and copy annually – will reach 44 zettabytes, or 44 trillion gigabytes (!).
We have not yet reached the state of “real” AI, but it is ready to sneak into our lives without any great announcement or fanfares – narrow AI is already in our cars, in Google searches, Amazon suggestions and in many other devices.
Apple’s Siri, Microsoft’s Cortana, Google’s OK Google, and Amazon’s Echo services are nifty in the way that they extract questions from speech using natural-language processing and then do a limited set of useful things, such as look for a restaurant, get driving directions, find an open slot for a meeting, or run a simple web search.
However, these solutions will only revolutionize medicine and healthcare if they are available to the average, mainstream users – and not only to the richest medical institutions (because they are too expensive) or to a handful of experts (because they are too difficult to use).
Artificial intelligence already found several areas in healthcare to revolutionize starting from the design of treatment plans through the assistance in repetitive jobs to medication management or drug creation.
Recently, the AI research branch of the search giant, Google, launched its Google Deepmind Health project, which is used to mine the data of medical records in order to provide better and faster health services.
The medical start-up, Enlitic, which also aims to couple deep learning with vast stores of medical data to advance diagnostics and improve patient outcomes, formulated the perks of deep learning the following way: “Until recently, diagnostic computer programs were written using a series of predefined assumptions about disease-specific features.
The British subscription, online medical consultation and health service, Babylon launched an application this year which offers medical AI consultation based on personal medical history and common medical knowledge.
The AiCure app supported by The National Institutes of Health uses a smartphone’s webcam and AI to autonomously confirm that patients are adhering to their prescriptions, or with better terms, supporting them to make sure they know how to manage their condition.
They are inventing a new generation of computational technologies that can tell doctors what will happen within a cell when DNA is altered by genetic variation, whether natural or therapeutic.
Another great example of using big data for patient management is Berg Health, a Boston-based biopharma company, which mines data to find out why some people survive diseases and thus improve current treatment or create new therapies.
They combine AI with the patients’ own biological data to map out the differences between healthy and disease-friendly environments and help in the discovery and development of drugs, diagnostics and healthcare applications.
An open AI ecosystem refers to the idea that with an unprecedented amount of data available, combined with advances in natural language processing and social awareness algorithms, applications of AI will become increasingly more useful to consumers.
This huge amount of data could be analyzed in details not only to provide patients who want to be proactive with better suggestions about lifestyle, but it could also serve healthcare with instructive pieces of information about how to design healthcare based on the needs and habits of patients.
They can tell if a doctor, clinic or hospital makes mistakes repetitively in treating a certain type of condition in order to help them improve and avoid unnecessary hospitalizations of patients.
We need the following preparations to avoid the pitfalls of the utilization of AI: If we succeed, huge medical discoveries and treatment breakthroughs will dominate the news not from time to time, but several times a day.
AI tools improve diagnostic accuracy to match that of docs
Babylon Healthcare Services, a new mobile medical consultation service, says its artificial intelligence software, in tests, can assess common conditions more accurately than human doctors.
London-based Babylon’s AI correctly answered 81 percent of diagnostic questions designed to mimic those trainee doctors must answer as part of the Royal College of General Practitioner’s exam that must be passed to become a qualified GP doctor in the U.K.
In addition to Babylon, others racing to create general diagnostic software include Ada, a startup with offices in Berlin and London that has launched a similar symptom-checker app to Babylon, HealthTap, in Palo Alto, Calif., Your.MD, a health information app created by British medical publisher BMJ, and IBM.
Babylon said its existing service, which lets people consult with a doctor over their mobile phone, has 2 million users in Rwanda, a country where there are 0.064 doctors per 1,000 people, according to World Bank Data—that compared with 2.8 physicians per 1,000 people in the U.K.
and 2.3 physicians per thousand in the U.S. Babylon also pitted its software against a group of seven experienced primary care doctors on a set of 100 hypothetical cases developed by primary care experts at the Royal College of Physicians and the health systems at Stanford University and Yale University.
to use Babylon as their primary care provider, “risks undermining and damaging traditional general practice services.” He said the Royal College of General Practitioners had criticized Bayblon for “cherry-picking” the healthier patients, leaving those with more complex needs to fall back on traditional doctors.
Philips spotlights connected technology, predictive analytics software, and artificial intelligence advancing population health and precision medicine at HIMSS 2017
Exhibition (HIMSS17), Royal Philips (NYSE: PHG,AEX: PHIA), a global leader in health technology, will showcase a broad range of population health management, acute healthcare informatics and personal health solutions, fully integrated in a highly secure, cloud-based ecosystem.
Prominently featured will be Philips HealthSuite, a cloud-enabled connected health ecosystem of products, programs and services that seamlessly work together to empower personalized health and continuous care across the health continuum from prevention and healthy living, to diagnosis and treatment and home care.
“With more than 100 years of health technology experience under our belts, Philips is uniquely positioned to lead Population Health Management, addressing key concerns of health systems who continue to struggle to reduce costs and improve the quality of care and patient satisfaction,” said Carla Kriwet, Chief Business Leader, Connected Care and Health Informatics, Philips.
“By delivering advanced healthcare informatics and intelligent solutions in a secure ecosystem that embrace cross-industry connectivity standards, providers can now leverage data in new ways that are easily accessible, contextually relevant and actionable at the point of care.”
- On Thursday, September 19, 2019
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