How Artificial Intelligence (AI) Help In The Healthcare Industry?

Artificial Intelligence performs all the tasks quickly and rapidly that humans take time to perform. In today’s era, this is being used in every domain. Computers can also achieve human-like competence in image recognizing and also enabled success in speech recognition and natural language processing.

 

The Healthcare industry is an abundance of data. The quality of, accessibility of these resources is a challenge. Health data have privacy issues associated with it. Lack of interoperability of electronic health record systems and the inability to collect the relevant social & environmental information. These are some issues faced by the healthcare industry.

 

Artificial Intelligence is swiftly entering the healthcare industry and performs major tasks from automating drudgery and daily tasks in medical practice to managing patients and resources. AI in the healthcare industry mainly refers to doctors and hospitals accessing large data sets information. This includes treatment methods, their results, survival rates, and speed of care, and geographical location. This new computing power can detect and analyze the trends from the data and even make predictions through machine learning that’s designed to identify potential health outcomes.

 

Benefits of Artificial Intelligence in the Healthcare Industry

Human Performance Boundaries are Pushed

The visual impressive use of medical AI is to do the things that humans cannot do. An artificial intelligence algorithm can improve the care of the patients beyond the current situation of medical performance.    

Normalize Medical Knowledge

AI can help to share the knowledge and performance of experts to the providers who lack that expertise. This type of normalization is important because highly skilled experts are rare compared to the need in many areas. 

Medical Practice Drudgery Automation

AI has automated many of the tasks on which providers spend a large amount of time dealing with electronic medical records, reading screens, and typing on a keyboard. When the AI system queues up the information in the patient’s record including this will increase the facetime between doctor and patient. 

Resource Management

AI can help to allocate resources and shape the industry. This AI system even helps to identify which department needs more staffing, and the most controversial topic of revenue-maximizing practice.  

 

Some tech innovation in the healthcare industry using AI 

Robotic Reflection

In 2017 University of Bristol study found that children suffering from Autism have an issue in distinguishing facial expression and in that year Dell technologies launched Milo, a 2-foot tall robot that helps children from ages 5 to 17 years to identify signs of emotion.

Connecting ALS Patients 

Eye-tracking glasses have developed to help people who lost the ability to speak. People can type with their eyes onto a monitor screen that will vocalize the patient’s thoughts through computerized decoding.

Detecting Afib

Atrial fibrillation can make heart attacks or strokes more likely and according to research from Stanford University shows that AI software can identify more accurately arrhythmias from an electrocardiogram (EKG) than a human expert. 

Artificial Intelligence services in California pass all the tests and even real-world tests that they could become significant partners for humans in shaping modern health care. There are many things humans and machines can together do and this is a powerful package.

Artificial Intelligence (AI) In Software Testing

Artificial intelligence is one of the most talkative things in the marketplace nowadays. It refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

Software testing is an important process that ensures customer satisfaction in the application. But what does it really mean? How does AI in software testing make a difference?

The use of AI in software testing is still in its initial stage, and the level of autonomy is much lower than seen in more evolved areas, although it is still driving forward in the direction of autonomous testing. The application of AI in software testing tools is focused on making software development lifecycle easier. AI can be used to help automate and reduce the number of  tedious tasks in development and testing

How AI is changing the way of Software Testing

Need for AI in Software Testing

Software testing is a procedure that constitutes a very fundamental aspect in the area of development. AI application in software testing focuses on facilitating the life cycle of software development. Since 60% of testing is only a repetition of the checks that the software already possesses, Artificial Intelligence will be helpful to automate the processes in an efficient way. Artificial Intelligence can be tremendously helpful in the testing industry in making more productive software for the end-user.  

AI Impact on Software Testing 

AI is a growing trend for the world, as you say that AI influences software testing and autonomic various business processes, AI proved itself by increasing the quality of software testing.  

Benefits of AI in Testing

1. Improved Accuracy:-  It is human nature to make a mistake, even the micro examiner makes a mistake, This is where automated testing helps by performing the same steps accurately. 
2. Automate the process:-  With automated testing, it may increase the scope of the test as well as improve the quality of the software. Automated software testing can look into memory and file contents, internal program states, and data tables so that it can be determined whether the software is working or not.
3. Saved time and money:- Source code is also modified each time with software testing, repeating these tests manually can be time-consuming and extremely costly. By using automation processes we can reduce the time spent in the testing which directly turns into cost savings.

Some AI-based testing tool

Test.ai:- Test.ai is mobile test automation Who uses AI in continuous testing, It is useful when it comes to getting your application performance metrics. It is more of a monitoring tool than a functional test tool.

Functionize:- Functionize uses machine learning for functional testing and is very similar to other tools in the market regarding its capabilities such as being able to create tests quickly (without scripts), execute multiple tests in minutes, and carry out in-depth analyzes.

Conclusion

Artificial Intelligence is a technology that will change the future, Artificial intelligence should never be considered a threat to software testing or for jobs because Artificial Intelligence acts as a to improve development works.

As more and more AI comes into our lives, the need for testing with Artificial intelligence is increasing. We have already started to use AI, but we need to continue the testing evolution to achieve efficiency. To know more about sales@aryausa.com

What is Digital Transformation and Why it is required ?

What does Digital Transformation mean?

Digital transformation is the strategic opportunity to incorporate new technologies in organizations that allow them to be more efficient and the possibility of generating new business opportunities. According to the survey expected Revenue from the global digital transformation market from 2017 to 2022. and By 2023, spending on technologies and services that enable digital transformation worldwide is expected to amount to $ 2.3 trillion.

These new innovative technologies are transforming the economy, the way of doing business between companies, the way of working and the way of living. 

The main technologies and the ones that are more fashionable are Big Data, Mobility, Internet of things, etc. but there are many more concepts that are included under the term Digital Transformation such as Digital Marketing, Customer Experience, eCommerce, CRM, Social Media & Social Business.

Why is Digital Transformation Important for Business?

Many large companies are already involved in digital transformation processes, those who succeed will be a game-changer.

“The species that survive are not the strongest, nor the fastest, nor the most intelligent; but those who accept better to the change ”.

Digital Transformation Road-map

Vision, strategy, and leadership

It is essential that the digitization process is sponsored by the company’s senior management. That decides the company has a clear and up-to-date vision of why the change is necessary and what value it brings to the organization, that what it is committed to carrying out and provides the appropriate means and resources to do so.

Business processes

The change from an analog to the digital world has much deeper implications than the introduction of digital media in the company’s relationship with the customer; To achieve a true transformation towards a digital organization, the internal processes of the company must be aligned with the process of change and digitized.

Technology

The fundamental driver of this process of change is technology, it is essential to know in depth the possibilities that technology opens today in different fields such as Big Data, mobility, internet of things, eCommerce, digital marketing, collaborative economies, business models.

Organization, team and digital culture

It is necessary to have a team of people with the necessary training and skills to lead the digital transformation in the company. The most advanced organizations already have a specific managerial position to lead the change, the Chief Digital Officer, a profile halfway between strategy, business development, innovation, marketing, technology … But it is not enough to appoint a digital manager, It is necessary to remove the walls between different areas of the organization and generate a culture of digital transformation through multi-disciplinary teams that build a joint vision.

Aryavrat is here to help in this Digital Transformation world, in order to approach the complex process of digitization with the maximum possible guarantees and achieve the objectives pursued, it is essential that the digital transformation is led with a global vision of the process from the understanding by senior management of the implications it has. indifferent aspects of the organization.