The use cases of Artificial Intelligence (AI) in the healthcare sector, especially in the pharma and biomedicine field, are gaining momentum.

Herein, we would like to go beyond the AI trends that exist in this ever-growing healthcare sector & benefits of artificial intelligence in pharmaceutical industry. Let’s start!

In our research, we found that approximately 50% of global healthcare companies will implement AI strategies and broadly adopt the technology by 2025. In particular, global pharma, drug development, and biomedicine companies will invest more in discovering new drugs for chronic and oncology diseases.

Biomedicine companies are adopting AI and its tools for conducting accurate laboratory and scientific tests and predicting the right diagnosis and treatment of disease. By automatically deriving patterns into various oncology diseases, AI use cases in pharma and biomedicine ensure wide opportunities and make workflows faster and more efficient.

In this article, we aimed at clearing the doubts that most healthcare business leaders have in mind such as-

• What are the major AI and Machine Learning (ML) applications that are increasingly used at the top pharma companies?
• Are these companies follow common AI trends to reap the benefits? If so, what are the AI trends for Pharma companies?
• How much global pharmaceutical and drug development companies are investing in machine learning and AI applications?

Now, we will directly move into our topic “how top pharma companies (like Johnson & Johnson, Roche, Pfizer, Bayer, and Novartis, etc.) are implementing AI applications.

I hope this article would help pharma companies to know how AI help them in generating increased RoI.

#1 Johnson & Johnson- The America’s top pharmaceutical company

Johnson & Johnson (J&J) has started implementing AI since 2015 after the collaboration with IBM’s Watson Health. IBM Watson is an AI-powered cloud system designed to process enormous amounts of healthcare data. It provides proof-based responses to professionals in natural language.

At present, the company is striving to put its total efforts to combine expertise and the power of AI and ML to come up with new drugs, treatments, and surgical methods.

Robotics Surgery

It is a novel application of artificial intelligence in pharma and biomedicine. It is a trending role of AI in the pharma and medical field.

J&J has created a joint venture- Verb Surgical, in partnership with Google Verily in 2015 to develop AI and ML-powered surgical robots to perform minimally invasive medical surgeries. Still, research works ongoing on Verb’s robots and is expected to come into the market by the end of 2020.

AI In Drug Discovery & Development

Artificial intelligence in drug discovery is another significant Pharma use cases. The benefits of AI in pharma and biomedicine are not limited to robotic surgery and pattern recognition, drug discovery, design, and development are a few key roles of AI in pharma and biomedicine.

To remain competitive in this digital world, J&J continuing to merge its expertise and intelligent AI strategies to bring outstanding drugs and surgical solutions into the market.

The company is investing heavily in developing precision medicine. Using the capabilities of AI and machine learning technologies, the company is aiming to provide more personalized healthcare services to patients based on their genetic profiles. Hence, this will help to improve patient outcomes and reduce healthcare costs.

Click here to know how to implement and use Artificial intelligence in drug discovery and AI costs.

AI For Clinical Development

It is the best RPA use cases in pharma. RPA-Robotic Process Automation is one of the key technologies of AI and is being used to ensure accuracy in drug development and make clinical development activities faster. The real world use case of RPA in pharma is maintaining quality data, performing rule-based tasks, streamlining processes, and generating compliance-safety medical and clinical reports.

Get more information of RPA use cases in pharma and development cost of RPA software applications for healthcare!

AI to treat Alzheimer’s

AI for treating Alzheimer’s disease is the best application of artificial intelligence in pharma and biomedicine. We can say that it is the best AI use cases in pharma. In collaboration with WinterLight Labs, J&J reaps the benefits of an AI platform to monitor neuropsychological details to treat Alzheimer’s.

WinterLight’s speech-based smart AI platform can detect, understand, and record hundreds of measurable variables from a patient’s natural language. So that the automatic analysis of Alzheimer’s can be detected.

Future Plans Of J&J Using AI, IoT & Cloud Technologies

In addition to these, J&J continues to invest in existing digital initiatives to grab digital opportunities. For instance: J&J uses IoT to monitor product distribution, and their interaction with patients seamlessly.

By integrating IoT sensors into medical devices such as lenses and artificial joint replacement products, J&J was in plans to advance the clinical monitoring process of patients after surgeries.

If you’re ready to find a challenging business with AI, We’d love to meet you. CONTACT US to know more about the use cases of AI that help Pharma companies.

These are top pharma use cases on which J&J is spending more investments to remain competitive. Every application of artificial intelligence in pharma and biomedicine will offer the best results to organizations. Implementation of all the above-listed top AI use cases in pharma and biomedicine will streamline operations, increase the level of automation, and make processes smoother, faster, and more efficient.

AI Automates Admin Tasks

One of the key roles of AI in pharma and biomedicine is to automate the regular tasks of admin. Starting from records maintenance and recording novel drug data to clinical trials data and FDA approval copies, everything can be stored automatically using AI apps without errors.

#2 Roche Holding AG- Top AI Investor

Roche Holding AG is one of the global largest pharmaceutical and diagnostic companies. For the past few years, it is spreading announcements regarding how it is using AI technology to enhance its drug development operations rapidly.

Recently, in 2018, it acquired Flatiron Health. Flatiron Health is engaged in maintaining a vast amount of oncology data. This collaboration helped Roche to feed its ML systems for efficiently analyzing oncology disorders with more accuracy.

Later, in 2019, the company together with its subsidiary Genentech also started a predictive analytics project to better predict which diabetic retinopathy patients.

Likewise, Roche collaborated with IBM and Sensyne Health to use AI for predicting chronic kidney diseases and for performing clinical trials respectively.

#3 Pfizer

Pfizer, America’s one of biggest multinational drug development organizations, in partnership with IBM, is rushing to fully catch up with AI technology. With the help of the cloud-based platform, IBM Watson, Pfizer is targeting on getting millions of medical data to early detect and find novel therapies for cancers.

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#4 Novartis

In a research collaboration with IBM, Novartis has to spread its arms into AI to get the best outcomes and efficiently finding treatment options for breast cancers.

Using the real-time data provided by IBM’s cloud-based platform, Watson the company is deriving valuable insights related to the efficient outcomes of breast cancer treatment.

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#5 Bayer Pharmaceuticals

This biggest pharma company is highly investing in emerging technologies like AI and ML to discover novel drugs for cancer and other life-threatening disorders.

As of media reports, in January 2020, the company has made a research collaboration agreement with the Exscientia to come up with the innovative drugs for cancer and cardiovascular diseases.

The company believes that the innovative AI technology can improve quality and size and reduce developing costs too. Hence, the company continues to invest in AI to achieve fast discovery and development of drugs.

Conclusion

Just think, these pharma and biomedicine companies are already proved their strength in the global drug development industry. Then, why they are investing in AI technology or artificial intelligence in pharmaceutical manufacturing?

The simple answer is that they are trying to become more competitive and advanced in the industry. Then, why don’t you invest in AI? If not yet invested to make your processes seamless and efficient.

USM, the best AI services provider in the USA, stand beside pharma, biomedicine, and healthcare companies to transform and make their operations smart and efficient.

Get in touch to get your AI development quote now!

The Role Of Robotic Process Automation In This Modern Era

Automated machines are taking over human power in the workplace with no scope for inefficiency. Mobile technology trends have changed the way of the work process in every industry. We can observe machines are capable of achieving more tasks than humans using the power of automation technologies. In some cases, they can complete human work more accurately with timely results.

Many companies are moving towards the digital workplace to ensure error-free productivity. Businesses are using artificial intelligence robots to perform everyday operations more efficiently than humans.

AI-powered solutions in banking and FinTech are beneficial for performing activities like automatic transaction processing, fraud prevention, loan lending, credit eligibility checking, insurance claiming, data manipulation, and virtual in-app customer support. Hence, banks can perform all internal processes with less involvement of human resources and save costs.

Accordingly, AI technology is also widely adopting by the retail, manufacturing, and healthcare sectors, etc., for streamlining their operations and witnessing profitable business scape.

The advancements in artificial intelligence and machine learning techniques are further taking the automation-level to the new heights. RPA is one of the technologies which is playing a vital role in optimizing automation levels. In this article, we would like to discuss a few Use Cases of RPA in Retail, RPA in FinTech, and RPA benefits in banking industry.

Here we go!

What Is Robotic Process Automation?

RPA technology helps software developers to build, deploy, and manage software that mimics human tasks with 100% accuracy. Many organizations across production and service sectors are using RPA to streamline internal operations at a low cost. With a focus to automate regular tasks, firms are adopting robotic solutions to increase productivity and optimize automation across high-level operations.

RPA solutions are categorized into two types, including rule-based and repetitive types. For instance, RPA-powered software solutions can perform filing e-forms, data entries, read e-mails, track inventories, warehouse management, and etc., without any assistance from humans.

Further, RPA is also being applied to develop digital attended robots to perform front desk operations. Such front-desk robots can handle calls, take notes & reminders, and assist agents during customer interactions.

Let’s look at a brief on cognitive RPA.

What is Cognitive Robotic Process Automation?

Cognitive robotic process automation uses artificial intelligence to complete the work processes smartly. Using Natural Language Processing (NLP), machine learning, text analysis, and character recognition, Cognitive RPA solutions will grab self-learning capabilities from the available data.

Such a continuous learning process will help systems or applications handle complex tasks seamlessly. Hence, by using the cognitive robotic automation process, companies can improve the overall business quality, reduce errors, and improve scalability.

Extension of RPA’s Reach With Cognitive Technologies

The software robots can perform rule-based actions that are predefined and trained to do. It means these bots cannot perform actions that require human perception decisions.

The RPA is helpful in places to perform repetitive and easy tasks like data entries, service support, and predictive maintenance. It requires human support to handle complicated exceptions.

The emerging technologies are bringing humans and computers to the same phase for effective automatic processes. RPA can be represented as three levels according to their intelligence.

• Rule-Based Automation

The robots that complete the work process depending upon the predefined rules fall under this category.

• Intelligent Process Automation

These computer robots can analyze the unstructured data available in the system to draw interfaces and communicate with humans.

• Cognitive Platforms

The cognitive robotic process automation can learn from previous experiences and perform complex tasks with minimum human interaction. Hence, the integration of cognitive technology in RPA will help solutions to think like humans and improves workflow efficiencies.

Benefits Of Cognitive Robotic Process Automation

As businesses want to implement automation in their operations, the scope for AI and RPA technologies-powered applications is high. Here are the advantages of using cognitive RPA.

• Increases business agility by handling highly complex processes and unstructured data.
• Improves product quality by reducing human errors and giving smart insights.
• Improve data security with effective monitoring and fraud detection.
• The automation of regular operations in businesses will reduce costs.
• Makes consumer-centric decisions by analyzing the data sources, which results in customer satisfaction.
• Employees can engage and focus on qualitative tasks, which are beneficial for the organization and personal career growth.

What are the Applications Of Cognitive RPA?

The cognitive RPA can be used in many cases to make a significant difference in the work processes. Here are top robotic process automation use cases across industries.

• RPA Benefits In Customer Service

Virtual customer support is one of the top RPA use cases in banking, retail, and many more sectors. Smart AI chatbots to provide instant customer service support round the clock. The integration of robotic process automation in banking apps or retail apps will give customers the experience of talking with human representatives.

• Finance & Accounting In Banking

The benefits of robotic process automation in banking are incredible and accounting is one of them. Accounting departments can use cognitive RPA to automate the invoicing process with zero errors.

Smart RPA applications in banking will perform tasks like opening e-mails, extracting payment details, and copy them to accounting and audit systems. By integrating the cognitive software bots into the system, the team can spend more time on other related areas to improve company profits.

• Product Categorization in Retail

Product categorization is one of the top RPA Use Cases in Retail Industry. Collection and analyzing data from stores located in different locations is a big challenge for the retail industry. But, this becomes simple with cognitive RPA. The cognitive robots can analyze data in multiple formats like texts, and images to create structured data and labeled logs without any errors.

• Automating Sales Operations

Robotic process automation use cases for automating the tasks of a sales representative are also one of the top applications of the technology. Cognitive RPA can better handle the agents in real time and improve conversions.

RPA in retail will automate sales operations. Starting from gathering customer requirements, taking order details, and tracking order status smartly. Hence, RPA benefits retailers in streamlining their sales operations.

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• RPA In Fintech For Documents Processing

The cognitive RPA uses optical character recognition technology to process documents of all formats without any error. It can tackle unstructured data efficiently, which is an irritating and error-prone operation of the business. This is helpful in the healthcare, banking, FinTech, and insurance industries in processing loan applications or insurance claims faster.

• Hassle-free Insurance Claiming

Data gathering, validation, and claim updates are the main operations of insurance agents. RPA applications in FinTech can perform all these tasks more efficiently than humans. RPA apps will retrieve data from different sources, such as renewals, claims, or monthly reports, and accomplish the tasks as they are trained.

• Automates Employee Onboarding

Robotic Process Automation benefits HR in many ways and smooth employee onboarding is one of the applications of RPA for HR. The employee onboarding process is a multistep task for the HR department that requires time and effort. Cognitive robotic process automation can streamline this process in an efficient and error-free manner. It can handle the automatic creation of login credentials, schedule meetings, team introduction emails, and more.

• Better Software Testing

The continuous changes in application features will reduce the efficiency of conventional testing techniques. In this case, the manual power involvement is worthless and reduces the quality assurance of the product. But the cognitive RPA can design a dynamic testing process that self-improves according to the development process. So, optimization of test techniques is not necessary throughout the app life cycle.

• Self-Maintenance

The identification of product defects during the development process is a difficult and time-consuming process for production resources. A lot of effort of resources are needed to fix them. Cognitive RPA solutions can monitor production quality and reduce the rate of defective products. Hence, the implementation of RPA solutions can assure application quality with less effort.

Apart from these, we can use cognitive RPA in different categories of the industry to improve productivity and customer experience. In present days, this technology can achieve image identification, categorization, extracting data, and more. With innovations every day, we can expect more advancements for a better tomorrow.

Conclusion

Automation is the driving force behind introducing digital workplaces in businesses. The RPA bots, using the combination of emerging technologies, will perform repetitive tasks smartly without the intervention of humans.

USM is the best software development company in the USA and India. We have vast proven experience in RPA app development for businesses across various industries.

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