Top Five Best Usages of Artificial Intelligence in Healthcare

| November 14, 2018

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To know about the top five best usages of artificial intelligence in healthcare show this video that explains with the use cases for artificial intelligence in medical imaging word. In the Video of an expert, the top best use cases artificial intelligence in healthcare medical imaging has been defined here with a set of examples to make it understandable to everyone. The Video is from Cogito that offers healthcare training data and medical image annotation services for AI.

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Austriamed - Medical Treatments in Austria

AT-MED offers access to premium medical services in top clinics and hospitals in Austria. Through AT-MED you have full medical testings in half a day, in the same medical unit and a reliable team made up of world-renowned doctors and professors, for whom your needs will come first. In the Austrian medical institutions the patient is assisted throughout the stay by the attending physician.

OTHER ARTICLES

Can New Technology Drive Health Care’s Future?

Article | April 11, 2020

Over the past twenty-five years most businesses have been revolutionized by the easy availability of cloud and mobile-based computing systems. These technologies have placed power and access into the hands of employees and customers, which in turn has created huge shifts in how transactions get done. Now the companies with the highest market value are both the drivers of and beneficiaries of this transition, notably Apple, Facebook, Amazon and Alphabet (Google), as well as their international rivals like Samsung, Baidu, Tencent and Alibaba. Everyone uses their products every day, and the impact on our lives have been remarkable. Of course, this also impacts how businesses of all types are organized. Underpinning this transformation has been a change from enterprise-specific software to generic cloud-based services—sometimes called SMAC (Social/Sensors/Mobile/Analytics/Cloud). Applications such as data storage, sales management, email and the hardware they ran on were put into enterprises during the 80s and 90s in the client-server era (dominated by Intel and Microsoft). These have now migrated to cloud-based, on-demand services.

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Why Mobile Application Development is Future of Healthcare

Article | April 11, 2020

The healthcare industry is evolving rapidly and distances more and more from the concept of waiting rooms every year. In this article, we want to cover the topic of healthcare mobile application development and how it changes the industry and our way of living. The global demand for 24/7 healthcare support continues to grow, especially with the spread of such deceases as COVID-19. Thus, healthcare mobile app development becomes more relevant due to its ability to allow to leave the traditional approach of patient-doctor treatment. Today consumers expect to receive more than just regular coverage. People strive for innovations and modern solutions in terms of healthcare, especially when the wearable devices became available to masses. This demand stimulates the development of applications which will solve such problems as overcrowded places, waiting-lines, angry patients and inconveniences. Accordingly to MarketsAndMarkets report, the global Mobile Health solutions market is projected to reach USD 213.6 billion by 2025 from USD 50.8 billion in 2020, at a high CAGR of 33.3% during the forecast period of 2020 to 2025. This massive increase is mainly affected by the growing adoption of portable devices, increasing the popularity of AI and 5G technologies.

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Impact of Incorporating Artificial Intelligence (AI) in the Healthcare Industry

Article | April 11, 2020

As medical science has improved rapidly, life expectancy around the world also has risen. Still, as longevity increases, healthcare systems are facing a growing demand for advanced services, increased costs, and a struggling workforce to meet various requirements of patients. Demand is driven by many unstoppable forces: a shift in lifestyle choices, shifting patient expectations, population aging, and the never-ending cycle of innovation are a few among others. Challenges Faced by the Healthcare Industry According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that, soon, the healthcare industry will have to deal with a larger number of patients with more complex requirements. Catering to these patients is expensive and requires health systems for providing long-term focused and proactive care. To remain sustainable, healthcare systems need major transformational and structural changes. The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of approximately 9.9 million nurses, physicians, and midwives. Apart from attracting, training, and retaining these healthcare professionals, you also have to ensure that their time and effort add value to patient care. Utilizing the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human efforts. AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the challenges in the industry mentioned earlier. AI can better the outcomes, improve efficiency, and augment productivity in healthcare delivery. This article takes an in-depth look at the impact of AI in healthcare. Impact of AI in the Healthcare Industry In the coming years, AI in the healthcare industry will improve the day-to-day life of healthcare practitioners, augment the patient experience, improve care delivery, and can even facilitate life-saving treatments and revolutionize the industry. Additionally, AI will improve population-health management, operations, and strengthen innovations. According to Statista, the global AI healthcare market will increase to more than US$28 billion by 2025. Here is a detailed look into the areas where and how AI in the healthcare industry will be impactful. Chronic Care Management Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the main drivers of the country’s annual health cost. Effectively managing various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay. Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being leveraged by organizations to improve chronic disease management, enhance patient health, and drive down costs, which will also eventually result in data-driven and personalized care. AI in the healthcare industry is expected to move the industry toward proactive care delivery from a reactive one and lead the industry to provide more individualized treatments. This is just one of the ways AI in the medical industry is going to revolutionize chronic care management in hospitals. Care Delivery Artificial intelligence in the healthcare industry is changing the way care is delivered; it is expected to make healthcare more efficient, accurate, and accessible. Reducing costs and improving health outcomes are the values health systems and hospitals are trying to deliver to patients every day. Hospitals are increasingly incorporating technologies, which are powered by the use of AI in healthcare to meet the challenge. According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexing challenges in the industry. They identify AI use cases in the healthcare industry in four broad areas, which are administrative, operational, financial, and clinical areas. Administrative Use Cases for AI in the Healthcare Industry • Admission procedures • Appointment scheduling • Customer service responses • Discharge instructions • Hiring and orientation protocols • Licensure verification • Patient check-in procedure • Prior authorizations • Quality measure reporting Operational Use Cases of AI in the Healthcare Industry • Inventory management • Materials management • Supply chain management • Facilities management Financial Use Cases for AI in the Healthcare Industry • Billing and collections • Claims management • Insurance eligibility verification • Revenue cycle management Clinical Use Cases of AI in the Healthcare Industry • Predictive technologies • Interventional technologies By incorporating and utilizing these scopes with AI in the healthcare industry, the industry can be transformed into a next-gen level in no time. It also allows healthcare practitioners to focus more on patients, which would eventually help in raising staff morale and improving retention. Clinical Decision Support Recent advancements in AI in the health industry are capable of enhancing the currently used clinical decision support (CDS) tools to have value-based imaging and to improve patient safety. According to the National Institute of Health (NIH), the synergy between CDS systems and AI in the healthcare industry will be able to: • Reduce friction in radiology workflows • Identify relevant imaging features easily • Generate structured data to develop machine learning algorithms • Enable an evolution toward decision support for a holistic patient perspective • Suggest imaging examinations in complex clinical scenarios • Assist in identifying appropriate imaging opportunities • Suggest appropriate individualized screening • Aid health practitioners to ensure continuity of care AI in the healthcare industry is competent in making CDS a next-gen one, enhancing the experiences of radiologists and providers, and improving patient care. Diagnostics Slowly but surely, AI is improving almost every aspect of human life with innovations and advancements. The latest is that AI in the healthcare industry is impending a revolution in medical diagnostics by providing accurate risk assessments, accelerating disease detection, and boosting hospital productivity. By automatically prioritizing urgent cases and accelerating reading time, image recognition AI enhances the workflow of radiologists. It even helps in the prevention of diseases by the early detection of diseases. In medical images such as x-rays, MRIs, and CT scans, AI-driven software can efficiently be used to accurately spot signs of many diseases, especially in detecting many chronic diseases such as cancer. According to the NIH, AI will be widely applied in the healthcare industry especially for various tasks such as patient engagement and adherence, diagnosis, and treatment recommendations. So, there is no doubt that AI in healthcare will revolutionize the diagnostic process in the approaching years by detecting diseases, classifying diseases, and improving the decision-making process. The application of AI in the healthcare industry will make people live longer. Triage and Diagnosis AI can be effectively used to automatically triage cases. AI algorithms will analyze the cases and forward cases to pathologists after determining the priority based on the probability of cases according to the criteria set by labs. This makes the workflow of pathologists easier and efficient. Through the process the algorithm will be able to: • Verify the digital images attached to the case belong to that case • Validate the tests ordered and match the specimen type • Identify cases marked as stat • Determine the cases, which can be positive or are most likely to be negative Moreover, AI technologies in the healthcare industry also can be effectively used to provide more accurate and faster diagnoses. This speeds up the entire process of triage and diagnosis and is expected to revolutionize the healthcare industry soon. The Future Outlook for AI in the Healthcare Industry Over the next few years, AI in the healthcare industry has the best opportunities in hybrid models to support clinicians in diagnosis, identifying risk factors, and in treatment planning. This scope will result in faster adoption of AI technology in healthcare, which will show measurable improvements in operational efficiency and patient outcomes. With a plethora of issues to overcome, which are driven by documented factors such as growing rates of chronic diseases and the aging population, it is obvious that the healthcare industry needs new innovative solutions. AI-powered solutions in the healthcare industry will achieve a clear impact on the global healthcare industry in a short time. Frequently Asked Questions Which is the best application of AI in the healthcare sector? Cognitive surgical robotics is the best application of AI in the healthcare sector as it helps practitioners collect data from real surgical processes, which would help in improving existing surgical approaches. Why is artificial intelligence important in healthcare? Artificial intelligence in healthcare is vital as it can help make decisions, analyze and manage data, and have conversations. So, AI will drastically change the everyday practices and roles of clinicians. When was AI-first used in healthcare? The term, Artificial intelligence (AI) was first described in 1950, but the limitations of the term prevented its acceptance. In the 2000s, these limitations were overcome and people started to accept the term.

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FUTURE OF HEALTHCARE

Blockchain in the Healthcare Industry

Article | April 11, 2020

Prioritizing health and managing it, has become highly important because our lifestyle is continuously evolving in ways that take a toll on us mentally, physically, and emotionally. However, the major issue for the patients lies in the inaccuracy of treatment due to the lack of complete health records in any hospital. With the recent changes in privacy legislation and data management, patients are even unable to retrieve their own health records. For example, someone had an accident and was taken to the emergency room. The first thing they will need to do in their condition is to fill the hospital’s form. Then, for the treatment, if the injured person is conscious enough, doctors ask questions like if they are allergic to some medicines or do they suffer from diabetes or any other disease. Besides, what if the individual denies having allergies or diabetes in their half-conscious state? And the previous hospitals where they have already had treatment before have denied sharing the medical details of the person either due to privacy issues or data corruption. Well, it can create a lot of fuzz. Solely, to improve the health industry without compromising the security of the individuals, blockchain has remained in the discussion. It has the potential to address the operability challenges present in the healthcare industry. But, what is blockchain, what are its underlying fundamentals, why blockchain, and what are its advantages? Today’s blog will help in understanding every aspect of blockchain and its impact on the healthcare industry. So let’s get started! What is Blockchain? Blockchain is a P2P or peer-to-peer distributed or decentralized ledger technology. It stores a chain of data called blocks of information. These blocks are chained together by cryptographic signatures. These signatures are called hash that is stored in the shared ledger and backed by a connected processes network - node. These nodes reserve a copy of the complete chain and get continually updated by synchronization. Though, to include blockchain in the process it’s necessary to hire a developer who has prior experience and knowledge about its architecture and can work with the components efficiently as blockchain is a designed pattern that consists of three major constituents - a distributed network, a shared ledger, and all the digital transactions. a. Distributed Network As discussed before, blockchain is built on peer-to-peer networks. While having no central point of storage, it makes the information on the network less vulnerable to being lost or exploited. Unlike the traditional client-server model that has a centralized storage point or controlling party, all the information in the blockchain network is constantly recorded and transferred to the participants of the network that are also known as nodes or peers. These peers also own several identical copies of the information. That’s why blockchain is seen as a huge improvement to centralized models and is considered the future of data storage and ownership. b. Shared Ledger Each authorized participant in the network records the transactions into the shared ledger. If they want to add any transaction, it is important to run algorithms that evaluate and verify the transactions. If the majority of members agree to the transaction’s validity, a new transaction gets added to the shared ledger. The changes done in the shared ledger is reflected in minutes or even seconds in the copies of the blockchain. Once the transaction is added, there’s no way to modify or delete it. Also, as the copy is shared in the form of a ledger to each member, no single member can alter data. c. Digital Transaction Transactions are information i.e. data transmission to one block. During the process of data transmission, each node acts as a central point to generate and digitally sign the transaction. As the nodes connect each other in the network, each of them has to verify the transaction independently for its conflicts, validity, and compliance. Only after the transaction passes the verification, the information is added into the shared ledger. The major element that makes digital transactions successful is cryptographic hashing that encrypts the data for security. Why Blockchain technology in healthcare? It has happened so often that the patient remains unable to gather all of their previous medical records in one format from one place swiftly or sometimes cannot even collect the required information at all. Unfortunately, in most cases, the information of critical patients remains scattered across several different institutions of healthcare that too in different formats. Besides, the data management systems along with the security regulations also vary in different institutions making it difficult to trace and fix mistakes. But, what can blockchain do? A blockchain is a system used for storing and sharing information with security and transparency. Every block in the chain is an independent unit of its own and a dependent link among the collective chain that creates a network controlled by participants rather than a third party. As blockchains are managed by network nodes instead of central authority, they are decentralized that prevents one entity from having complete control over the network. With the incorporation of blockchain, the need for a central administrator will be removed by cryptography. Healthcare providers will be able to promote data management processes beyond perception. It will help in collecting, analyzing, sharing, and securing medical records. It will provide the access to healthcare workers for retrieving health records with the cryptographic keys provided by patients from anywhere without creating any privacy or security problems. Advantages of Healthcare Blockchain Although applications of blockchain in the healthcare industry are inceptive, some early solutions have shown the possibility of reduced healthcare costs, improved access to information among different stakeholders, and streamlining the entire business process. So, keeping aside the buzz, let’s see the real advantages of blockchain in healthcare. 1. Master Patient Indexes The master patient index helps in the identification of patients across separate administrative systems. It is often created within the EHR or electronic health record system. As these EHRs have different vendors, there are several irregularities of MPIs. In many cases, the data of a patient between these healthcare systems become mismatched. However, with the nature of decentralization in Blockchain, it possesses the ability to solve the issue. In the blockchain-based MPIs, the data will be hashed to the ledger and content will remain unique as only the authorized nodes of the data can make changes to the hashes while all parties with access can only check the related information. 2. Single, elongated patient records Blockchain technology is potent to transform health care by placing patients at the center of the system while increasing the security and privacy of health records. It provides a new model for health information exchange by forming electronic elongated patient records secured and efficient. Additionally, the fact that the data is copied among all the nodes of the blockchain network creates an atmosphere of clarity and transparency that enables healthcare providers and patients to know how their data is handled by whom, how, and when. It can also help healthcare from potential frauds, data losses, or security attacks. 3. Supply Chain Management Supply chain management in healthcare is a challenging aspect. With scattered settings for ordering drugs, medical supplies, and critical resources, there’s an inherent risk of compromising the supply chain that might impact patient safety. Indulgence of blockchain technology in the transactions can tap into the complete process of medicine or drug products movement. As all the transactions will be recorded onto the shared ledger with every block recording and maintaining every transaction, it will become easy to verify the vendor, distributor, and origin of the drug within a matter of seconds. It will also enable healthcare physicians and officials to check the authenticity of the supplier’s credentials. 4. Claims Justification Currently, the insurance claim processes face difficulties like lack of transparency i.e. most customers don’t even know how insurance works; human errors and inefficiencies i.e. insurances are full of confusion along with human errors that create inefficiencies that lead to the increased cost to customers; higher frauds in claims. But, blockchain technology can simplify and enhance recordkeeping, payment processing, claims registration, contract management, and closure with its immutable ledger. 5. Interoperability Interoperability is the capability of distinct healthcare information technology to interpret, exchange, and use data. Due to the privacy issues, the alphanumeric code to identify a patient has been revoked that caused problems in gathering the required record of the patient. Enforcing measurement standards for industry-wide interoperability is also a challenge in interoperability. With blockchain in healthcare interoperability, data can be shared in real-time on the trusted network and provides access to the patient’s record in a secured manner. Moreover, with the pri

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Austriamed - Medical Treatments in Austria

AT-MED offers access to premium medical services in top clinics and hospitals in Austria. Through AT-MED you have full medical testings in half a day, in the same medical unit and a reliable team made up of world-renowned doctors and professors, for whom your needs will come first. In the Austrian medical institutions the patient is assisted throughout the stay by the attending physician.

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