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RPA & AI in Health Care

Smart systems affect our professional and private lives. Artificial intelligence (AI) is getting sophisticated and forming the basis for all the technologies we use on a daily basis. Obsolete technologies are making ways for new systems, entrepreneurs must reorient and restructure their business processes towards digitisation. As AI is getting increasingly sophisticated at doing what humans do, more efficiently, more quickly and at a lower cost, it’s use in healthcare can play a major role. Many industries already rely on automation of business processes using robotic process automation (RPA) or even artificial intelligence. Is this a good solution for the healthcare industry too?

 

With the advancements in technology applications and apps that encourage healthier behaviour, the population is increasingly having longer life expectancies. Hospitals struggle with mountains of data and inefficient and complex ways of processing all these data. Moreover, caregiver spent a significant amount of their time doing these repetitive tasks.Thus, the need for medical care is growing and the shortage of skilled workforce in the care sector is growing as well.

 

The complexity and rise of data in healthcare means by making AI and robotics a part of our healthcare Eco-system, and with the integration of automation of processes, we can counteract these problems. With the use of software robots, we can shifts repetitive, time-consuming routine activities, such as administrative or billing operations, away from employees to virtual “colleagues”. Faster access to data also makes medical care easier for patients: with the data generated via patient wearables and other medical devices combined with AI, it’s helpful to oversee early stage heart disease, enabling doctors and other caregivers to better monitor and detect potentially life-threatening episodes at earlier, more treatable stages. Doctors and caregivers can have more personal contact with patients and often fewer mistakes.

 

AI can be used to analyse and identify patterns in large and complex datasets faster and more precisely than it has previously been possible. It has the potential to aid the diagnosis of disease. Using AI to analyse clinical data, research publications, and professional guidelines could also help to inform decisions about patient’s treatment. But as AI depends on digital data, so any inconsistencies in the availability and quality of data restrict the potential of AI. 

 

Robotic Process Automation is digital techniques form an interface between the management concept and the automation of business processes using software solutions. Virtual employees take over the handling of individual user interfaces or even entire business processes. With the help of automation, workers get more time for tasks that require individual interaction and emotional judgment. Software robots mimic and perfectly scalable business processes in all areas around the clock with almost zero error rates.

 

Opting for RPA can represent a lot of advantages for medical institutions, such as:

 

  • Automation of routine tasks = relieves employees of frequently repetitive tasks so they can apply their skills to cases that require a human touch
  • Process, input and extraction of user interface-driven data from clinical applications, lab information systems, third party portals, insurance portals, radiology information systems= increase productivity and improves quality of work
  • Software robots work faster without any human error = Patient’s data up to date
  • An RPA robot can enter pertinent and specific health information into a patient’s Electronic Medical Record (EMR).
  • With the use of RPA, doctors have patient’s digital traces all the time = more insights into work process flows
  • RPA productivity also translates into return on investment as Software robots work much faster than their human counterpart
  • Helps caretakers not only reduce costs and gain efficiency but also increase the quality of patient care and amount of time spent with them
  • RPA can optimise patient registration, appointment scheduling, billings and payment posting = decrease in operational costs and improvements in patient experience 

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RPA is offering great benefit to health care professionals and administrators in helping them perform their tasks at a higher capacity with less effort. The combination of RPA and artificial intelligence forms the next level of automation because systems make their own decisions, learn and optimise processes independently. AI can assign tasks, which are then executed by RPA. The software robots provide the hands for the cognitive systems. In the future, for example, automation solutions could be even more involved in the monitoring of people in need of care. However, it often turns out to be sufficient and above all more meaningful to use RPA alone as it enables them to provide immediate productivity gains, achieve near zero error rates, reduce operational costs and greatly increase the quality of patient care.

 

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HyperScale and Data Management

A hyper-scale data center is mega-sized data centres that have a huge number of computers, network hardware, cooling systems, and are able to support thousands of physical servers and millions of virtual machines. As the technology is growing at exponential rates, big providers such as, Amazon Web Services (AWS), Microsoft Azure, Google, IBM Cloud, Oracle, SAP etc are redefining hyper-scale data centres for data storage and optimising speed to deliver the best software experience possible.

 

In this evolving IT landscape, for customers as well as companies, the question arises of which strategy they want to use for their data storage. They can choose from the following two options, either they can outsource and move their data to an external data center facility, either they can choose to move their traditional ‘physical’ data center to the clouds, means instead of investing in their physical hardware’s, they may opt to rent server in clouds. With this process of outsourcing, companies can reduce payroll costs and ensure that they remain up to date with the latest technological advances.

 

This need of outsource has created the requirement of hyperscale data center, which can operate, analyse and model the massive amounts of data flowing through their systems and offer insights into user behaviour that can be used to generate further income streams. As traditional architectures are not suited to adapt to new cloud centric infrastructure and operations, outsourcing Hyperscale represents a lot of advantages. Companies can benefit from a flexible and customizable IT infrastructure at exactly the level of traceability and cost, adapted to their capacity and need for specific workloads. The principle is simple: The low Total Cost of Ownership (TCO) comes from the fact that the data centers are usually equipped with standard and thus inexpensive standard components and second, that due to virtual infrastructures for larger data volume no more space, air conditioning or electricity is needed.

 

However, companies must not only work with one a single vendor. Using cloud services from more than one hyperscaler avoids dependency on a single vendor. Connecting with different Hyperscaler companies can also choose, depending on the requirements, the individually matching cloud service. This keeps them flexible in order to respond quickly and cost-effectively to new business challenges. This approach requires well-thought-out architectures, as in addition to disk space and computing capacity, data traffic also costs money in the cloud. Unnecessary and duplicate data exchange with Second Source can also increase costs.

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But where exactly are the differences in the hyperscalers? Well, the pitfalls lie in the different cloudstack. The most important distinguishing features can be divided into three categories: product diversity, performance classes and workload-specific target groups.

As no company is the same, sometimes performance, sometimes security, sometimes compliance, then again the availability or the costs or criteria such as scalability, connectivity and other workloads have priority. This question must respond to each companie’s need individually in the selection of hyperscaler.

 

Both in strategy and in purchasing, new thinking is required. Because the potential of the Hyperscaler can only be raised if the companies say goodbye to their single sourcing strategy. Multi-cloud sourcing strategies imply that businesses can move from one provider to another at any time and even distribute the same workloads among multiple resources.

 

Public cloud services are now demanded not only by large but also by medium-sized companies as a managed service. Hybrid and multi-cloud models, which constantly analyze new services and integrate them into managed service offerings, dominate.

For the path of the public cloud transformation, the supporting service providers have to offer a wide range of services and technical implementation. They act as partners of the large public cloud providers and have to know their advantages and disadvantages and advise their customers accordingly. Service Providers need to know all the offerings of the cloud providers in detail and to harmonize them with the requirements and business processes of the user companies.

 

Hyperscale computing is highly decisive choice for organizations dealing with large data volume, so the usage of the new computing system will be seen more in the area where companies demand big analytical needs.Since hyperscale computing is attracting more users, legacy methods of data management are no longer enough to meet the data management needs due to explosive data growth. HyperScale Technology provides a modern data management that is scalable, highly resilient, and simple. It allows organizations to manage data seamlessly on-premises and in the cloud. With Hyperscale Technology solutions companies can removes the burden of day-to-day operations with a simplified installation, automated and self-service operations, and update process.

Authentication Process: Balance between Security and a Positive User Experience

Authentication Process Balance between Security and a Positive User Experience

The number of digital services is growing rapidly. Every single web and mobile application, that companies use, applies different authentication methods. They are indispensable for security of their applications. Providers of these applications / services face multiple threats regarding their cyber-security, which obliges them to install and maintain solid security strategies to authenticate users. This can result in many different authentication methods and processes depending on different services. As authentication processes not only secure the applications themselves, but also create individual access protection for each user account. Their protection has to be done while maintaining a positive user experience.

 

Imagine a scenario where user doesn’t require a password to log in to check their email; and another where they need to authenticate their credentials every few minutes using CAPTCHA codes. Without a single doubt, the first scenario is very pleasant from a user experience perspective but lacks a lot of security. Inversely the second one is extremely secure, but is very irritating from a user experience perspective, and no one would be interested in using it. This is exactly where organizations need to learn how to balance user experience and security because one of the biggest online frauds most users are wary of is identity theft. It not just destroys reputations but can result in major financial losses for organizations.

 

Security professionals must not overlook the user experience while they work on their security strategies. As in cyber world, it is not always easy to determine that you are who you really claim to be, organizations must use identity and access management to protect sensitive information. Security professionals must ensure that only authorized users have access to the system and their information is safe online and they can continue to safely use it.

 

In order to place a right authentication processes, organizations need to:

 

  • Make sure that users’ data is secure by adding additional layers of encryption by providing a positive online experience.
  • Create identity verification and authorization services that can be seamlessly integrated and facilitate user transactions.
  • Consider employing the services of a company that helps in the protection of the online identity and information of their customers, while providing them with an effortless experience.
  • Access authorizations must be implemented on the basis of the “need-to- know” principle: users must only be provided with minimum access and functionality needed to perform their tasks.
  • Privileges may only be given to users when really justified.
  • No single person must be allowed to approve access requests for himself.
  • Avoid sending confidential data via e-mail as they carry an extremely high risk of passwords as they could be easily stolen.

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Data/information is an asset for today’s organizations and individuals. Data may be less or more important and very often has a monetary value. The disclosure, improper modification, or unavailability of information may incur expenses (loss) or missed profits for the organization or the individual. Therefore, most organizations and individuals must protect their data to a certain extent from threats.

Basic Measures to Improve IOT Security

The Internet of Things has picked up speed. It continues to grow and is already a priority in both, our private and professional life. Today, even light switches and dishwashers have internet access. And at the same time, you have access to your IT systems. This creates numerous opportunities but also a completely new threat situation. Security measures in the particular IoT and Industrial IoT are particularly important because of the numerous weak points. Because, although the IoT is growing so dynamically, we are still at the beginning. Hackers, however, have long been keeping an eye out for the potential vulnerabilities. And not only that, the attacks are already successful. The financial impact of such incidents is severe:

 

  • In 2016, the Ponemon Institute estimated the average cost of a data breach at more than $ 7 million.
  • The Equifax incident will eventually cost the company $ 439 million.
  • This year Facebook fell victim to two spectacular security incidents. They were enough to stagger Facebook’s share prices, and CEO Mark Zuckerberg himself lost $ 11 billion and was forced to testify before a Congressional committee.

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Due to a vast variety of devices present in the market, data protection and data security are falling behind. To take fully advantage of intelligent IT and avoid security risks, companies must tale various actions and tailor security of IOT to their actual needs. For securing these IOT, comprehensive and precisely tailored concepts and solutions are important and effective. New standards and uniform standards would be necessary but are not implemented in the currently available concepts and therefore not automatically available. You can make an important contribution to security by making individual settings, by focusing on the encryption of stored and transmitted data and by monitoring and reporting the achievement of goals. The optimization of currently IOT available in the market is possible in a few steps:

 

  • The first step in finding better IoT security is risk analysis. Therefore, include IoT devices in your risk management and set the monitoring performance for all networked devices in the system. ENISA has published an online tool to assist IoT operators in risk assessment. The tool provides a combined view of the proven security methods. The information provided by this tool for each topic reflects the information contained in corresponding ENISA reports published in the past.
  • Align the comprehensiveness (degree of depth, consistency and assurance of security measures) and scope (degree of fit to the industry or system needs) of security needs with the investment of your IOT projects.
  • Activate a strong password protection.
  • Change the manufacturer’s default settings, set highly secure passwords, and focus on comprehensive security endpoint. Active scans of new devices support your comprehensive security concept.
  • Update device firmware.
  • Enable encryption in both hard drives and communication platforms.
  • Implement all of your IOT devices into your segmented network and protect them by your powerful firewall.
  • Don’t do any jailbreak of devices or installations of unauthorized third-party marketplaces
  • Create regular backups of the IoT automation server configuration and automation rules files.

 

A survey by Trend Micro shows that companies have significant weaknesses in the security of the Internet of Things. Only 14% of IT and security decision makers surveyed said they had a complete awareness of IoT threats in their organizations. 37% of respondents admitted they were not always able to define their security needs before implementing IoT solutions.

 

Cloud computing and IoT are dramatically changing IT infrastructures. It’s not just about the risk of individual devices, but the incidents that cyber-attacks show by the use of inadequately protected devices. When it comes to security and privacy in the IoT, not only risks to the IOT should be stopped but also risks posed by the IOT. Despite this dual motivation to do more for IoT security, Internet security is still not doing well. As important as special IT security solutions may be for the particular risks in IoT and Industrial IoT, even basic protection, which is common in traditional IT, could improve many things as long as the IoT solutions offer appropriate settings and functions.

The Internet of Things and Big Data Management

 

 

A new survey from Juniper Researchand Gartner Insightson How to Lead in a Connected World, has revealed that in 2020, the total number of connected IoT, will exceed 50 billion devices compared to 21 billions of connected devices in 2018.

 

Organizations are using the vast amounts of data available from IOT diverse sources such as, wearable devices, smart sensors.With the huge increase in numbers of IOT devices, companies are facing unmanageable amounts of data. By using this data and rapidly analysing it, theyare makinginsightful decisions and usingthe information in a more targeted way to deliver better service, improvetheirbusiness processes, increase operational efficiencies, and last but not the least, grow revenues.in order to extract valuable information from the gathered data, they also have to come up with a strategy over data storage and protection. Society is reliant on the storage, process and transmission of data therefore ensuring the integrity, security and privacy of this data is fundamental.

 

The IoT devices can be located anywhere in the world and are part of every imaginable living and working environment. Our phones, computers, smart home, fridge, machines, cars are the existing proof of IoT.We are living in a world where IOThas formed a massive transformation in our way of living. Not only in our everyday life but wecan seea strong expansion of IoT in all industrial sectors. IoT networks devices are being used worldwide without restrictions.

 

As experts highlighted, with more than 20 billion connected things expected to be in use by 2020, organizations can be sure that cyber-criminals will be developing new ways in order to extract data that can be converted into money.Thus, organizations must also find new ways and update their traditional approaches and existing strategies to manage and protect their data.

 

In IoT,IT security remains a major technical challengeas all the devices and people are connected with each other to provide services at any time and at any place.Mostof thesedevices are not equipped with efficient security mechanisms and are vulnerable to various privacy and security issues e.g., confidentiality, integrity, and authenticity, etc. For the IoT, some security requirements must be fulfilled to prevent the network from malicious attacks. Herebelow aresome of the most required capabilities of a secure network.

 

      • Resilience to attacks: Most enterprises take years to build up their trustworthy reputation of a reliable organisation but overnight that reputation can be irrecoverably damaged by a cyber-attack or massive data leak.Therefore, the system should be capable enough to recover itself in case if it crashes during data transmission. For an example, a server working in a multiuser environment, it must be intelligent and strong enough to protect itself from intruders. In the case, if it is down it would recover itself without intimation the users of its down status.

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    • Data Authentication: Today, attackers can easily gain access to internal networks, whether at a remote branch or in the headquarters, by taking advantage of mobile devices and BYOD policies. They do this by posing as on-site contractors or launching phishing attacks against employees.Once attackers authenticate onto the network, they can connect to the applications used for IoT. With many enterprise architectures, cybercriminals can execute network-layer attacks — even if they are unauthorized to access the application — disrupting the service.Thus, the data and the associated information must be authenticated. An authentication mechanism is used to allow data transmission from only authentic devices.

 

    • Access control: Only authorized persons are provided access control. The system administrator must control access to the users by managing their usernames and passwords and by defining their access rights so that different users can access only relevant portion of the database or programs.

 

  • Client privacy: IoT data is mostly unstructured and can therefore easily be stored in the public cloud infrastructure. All major cloud vendors provide cost-effective, scalable storage systems based on object storage solutions. With fast networks and free data access, large amounts of enterprise IoT data can be optimally stored in the public cloud.Therefore, the data and information should be in safe hands. Personal data should only be accessed by authorized person to maintain the client privacy. It means that no irrelevant authenticated user from the system or any other type of client cannot have access to the private information of the client.

 

Clearly cyber-attacks are damaging and costly, however the true cost to an enterprise is in the damage to the trust the users place inproducts and the system. Not only can cyber-attacks damage individual businesses, the knock-on effect for the whole digital economy could be devastating. Due to the multiple layers of information flow for IoT devices, enterprises are under constant pressure and have to deal with the threats in these environments and the complex conditions that are constantly changing and evolving. Faced with these turbulent conditions, in order to ensure long term survival of the business, they must embrace agility and resilience to the core of any information assurance strategy.

 

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