Automation in healthcare

Robotic Process Automation in Healthcare Industry

The practice of adopting automation is revolutionizing the operational activities in every industry. McKinsey & Company reveals that the process time reduces up to 60% by incorporating Robotic process automation (RPA). Besides, it ensures three times bigger return on investment. Automation in healthcare industry indicates even more impressive results. Some automation activities are still in rudimentary and testing phases while others are into commercial practice for years.

Following are notable uses cases of automation in healthcare.

Data Analysis for Disease Diagnostics

The prevalence of autoimmune diseases reflects in the fact that annual spending on treatment of these diseases in the US is 25% more than spending on cancer-related problems. The amount of expenses is a factor of delay in diagnosis. Thus, delays do not only pose threat to health but also increase expenditure by manifolds.

Predictive analytics ensures timely diagnosis with much less cost. Using this technique, healthcare practitioners collaborate with software engineers and data scientists to analyze data of thousands of patients. This analysis enables them to find patterns, and hence make informed decision making.

Although the technique does require massive amount of data, yet regulators and official healthcare agencies maintain this record and share it for research purposes.

Smart Billing with Healthcare RPA

Besides AI, smart systems are also driving automation in healthcare sector. One use case is that of automated prescription. Such a technology is still far from prescribing medicines because, at current state, it involves uncertainty. Nevertheless, the software systems powered by AI and IoT accelerate the process billing.

Patients or doctors request a drug online through apps. Smart billing software systems acknowledge and schedule the order for delivery. Besides, these systems also generate receipt with authentic stamp. This entire process of prescription including ordering and billing is automated with robotic process automation in healthcare industry.

Automation in Healthcare for Resource Optimization

Smart billing is only one instance of effective resource optimization with healthcare automation. There are scores of other examples where automated information systems used in healthcare are revolutionizing the businesses.

Healthcare companies including hospitals, clinics, and pharmacies still rely on human workforce to perform most of the clerical operations. However, statistics report an alarming level of shortage of human resources. Researchers in a recent study noted that there will be a shortage of 260,000 registered nurses in 2025 if it continues to grow at current rate.

Any clerk, regardless of the amount of experience one carries, is a human after all with a high proneness to error. The erroneous data entry is frequently resulting in wrong appointment scheduling. The time consumed while performing the tasks manually goes without saying.

One notable use case which is already in practice for some years is chatbot application. The research and development over the years has resulted in impressive maturity of chatbots which are capable of communications as good as humans.

“The relationship between technology and people has to change in the future for the better, and I think RPA is one of the great tools to enable that change.”

(Leslie Willcocks, Professor of Technology Work and Globalization at LSE)

Thus, the automation in healthcare is ensuring resource optimization through smart billing, automated appointment scheduling, and communications with clients. The result is a remarkable reduction in costs and time consumption of performing the operations.

Data Analytics for Business Growth

This use case is not specific to healthcare industry. In essence, data science is revolutionizing every industry by providing insightful information. The companies can track the performance of their employees as well as their business campaigns. They can identify the areas which are underperforming and those which are overachieving.

The most significant use case of data analytics for automation in healthcare is its ability to forecast future. Healthcare companies can predict trends in future by assessing the behavior of current and past customers. They can invest more in areas which are generating more revenues for them.

The field of data analytics takes the leverage of artificial intelligence to enable companies in developing precise future projections. The process includes access, extraction, and cleansing of data before its segmentation into relevant groups. Finally, the segmented datasets are visualized in the form of graphs and charts so that the executives can make informed decisions.

Excessive Data Security

Data breaches have become the most painful events in healthcare industry. Although every industry faces data security concerns, yet the cost in healthcare is cosmic. Each compromised record costs $408 on average – up from $380 in 2017. In contrast, all other industries combined have per record cost of $148.

Irrespective of how wealthy a company could be, healthcare businesses cannot afford to have breach of any sort. Fortunately, robotic process automation in healthcare industry is assisting big time in developing and sustaining a comprehensive security framework.

Automation is leading the processes of intrusion detection as well as prevention. An efficient system with extensive security checks can detect the breach at its earliest stage and alarm the concerned authorities before the intrusion can cause harm. To add further comprehensiveness, the systems can also prevent attacks altogether so that you can invest time and money on business growth instead of firefighting with data security violations.

Robotic Process Automation for Clinical Research

RPA along with Blockchain technology is ensuring remarkable developments in clinical research. Such studies require experimentation on patients. Prior to any experiment, the researchers need to get consent of subject. Machine learning helps in finding the reasons for patients’ concern regarding trials. The technique assists in determining the behavior of people toward clinical research through discussions on forums and social media.

Apart from consent, researchers also need to determine the appropriate set of individuals who are most suitable for running the trials. The RPA enables them in achieving this feat by assessing the record of thousands of potential subjects and selecting the most suitable ones.

Besides, the utilization of Blockchain ensures automation by providing smart contracts. Many individuals employ unethical practices by tempering the records and running trials on patients without their consent. Blockchain technology provides tamperproof blocks of information which disallow such practices.

Mob Inspire is developing healthcare automation products for a decade now. We are leaders in innovation and tech development. Our experts can assist you to incorporate tech software infrastructure which complements your business needs. Contact us today and we will have our professionals help you.