Skip to main content

Role of Robotic Process Automation in Pharmaceutical Industries

  • Conference paper
  • First Online:
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) (AMLTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 921))

Abstract

Robotic Process Automation (RPA) is a technological revolution in the offing and is aimed at taking up the mundane and repetitive tasks from people’s daily workload. It throws up a new vista of research to the research community and lot many types of research are going on in this domain. It is not Robotics but is different technology altogether. RPA is a recent and fast-growing sub-domain of Robotics. The healthcare and pharmaceutics domain generate a lot of data or we may call it medical big data, and it is all the more pertinent to analyze & evaluate such data coming from varied sources. New drug discovery, drug formulation process, drug delivery mechanisms or in-patient and out-patient activities are some of the key processes in the Healthcare and Pharmaceutical industries generating a tremendous amount of data. Therefore, data science and RPA provides handy tools to work with such huge data volumes. In this paper, the authors highlight the key aspects of RPA and review its usage in the all-important healthcare and pharmaceutics domain. RPA is proving to be the technology of future and its goal is to provide a sustainable solution that reduces costs and delivery time, improves quality, speed and operational efficiency of a business process. The application of Machine Learning (ML) technologies in the healthcare domain are proving to be beneficial and effective in gaining new insights. The author also proposes a generic RPA/ML-based framework to ensure the standardization and quality of Bhasma – an end product obtained after multiple activities in the traditional Indian System of Medicine – Ayurveda.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hodson, H.: AI interns: software already taking jobs from humans, New Scientist Technology News, 31 March 2015

    Google Scholar 

  2. Robotic Automation Emerges as a Threat to Traditional Low-Cost Outsourcing, HfS Research. Accessed 21 Nov 2018

    Google Scholar 

  3. Willcocks, L.P., Lacity, M.C.: Nine likely scenarios arising from the growing use of software robots, London School of Economics (2015)

    Google Scholar 

  4. http://pharmaceuticscongress.alliedacademies.com/events-list/robotic-process-automations

  5. King, A.: Let the robots take the strain (2016). https://www.chemistryworld.com/features/lab-automation/2500121.article

  6. King, P., Rowland, J., Aubrey, W., Liakata, M., Markham, M., Soldatova, L.N., Whelan, K.E., Clare, A., Young, M., Sparkes, A., Oliver, S.G., Pir, P.: The Robot Scientist Adam. Computer 42(7), 46–54 (2009). https://doi.org/10.1109/MC.2009.270

    Article  Google Scholar 

  7. Robot scientist’ holds key to new drugs, BBC News

    Google Scholar 

  8. Mortimer, J.A., Hurst, W.J.: Laboratory robotics: a guide to planning, programming, and applications. VCH Publishers, New York (1987). ISBN 0-89573-322-6

    Google Scholar 

  9. Ward, K.B., Perozzo, M.A., Zuk, W.M.: Automatic preparation of protein crystals using laboratory robotics and automated visual inspection”. J. Cryst. Growth 90, 325 (1988). https://doi.org/10.1016/0022-0248(88)90328-4

    Article  Google Scholar 

  10. Hands-free use of pipettes, October 2012, Accessed 30 Sept 2012

    Google Scholar 

  11. Gary, A., McClusky, B.T.: Automation of Structure Analysis in Pharmaceutical R&D. J. Manag. Inf. Syst. (1996)

    Google Scholar 

  12. Heinemann, U., Illing, G., Oschkinat, H.: High-throughput three-dimensional protein structure determination. Curr. Opin. Biotechnol. 12(4), 348–354 (2001)

    Article  Google Scholar 

  13. Felder, R.A.: The Clinical Chemist: Sasaki, M., MD, PhD (August 27, 1933 – September 23, 2005). Clin. Chem. 52 (4), 791–792 (2006)

    Google Scholar 

  14. Carvalho, M.C.: Integration of Analytical Instruments with Computer Scripting. J. Lab. Autom. 18(4), 328–333 (2013)

    Article  Google Scholar 

  15. Robotics to the Rescue: Automated Sample Processing Fri, 01/15/2016 by Lois C. Tack and Laurent Baron. https://www.forensicmag.com/article/2016/01/robotics-rescue-automated-sample-processing

  16. Comar, C., Duncan, G., Kevin W.P.: MillerFlipTube™ technology promotes clean manipulation of forensic samples on automated robotic workstations (2017). https://doi.org/10.1016/j.fsigss.2017.09.019

  17. How Robotic Automation Will Benefit Food and Agriculture Kagan Pittman posted on 27 April 27 2017

    Google Scholar 

  18. Lorenz, M.G.O.: Liquid Handling workstations for Functional Genomics, Jala tutorial (2004). https://journals.sagepub.com/doi/pdf/10.1016/j.jala.2004.03.010

  19. Kakhandiki, A.: The symbiosis of RPA and machine learning, 29 May 2017. Business. https://www.itproportal.com/features/the-symbiosis-of-rpa-and-machine-learning/

  20. Virupaksha, G.K.L., Pallavi, G., Patgiri, B.J., Kodlady, N.: Relevance of Rasa Shastra in the 21st century with special reference to lifestyle disorders (LSDs). Int. J. Res. Ayurveda Pharm. 2(6), 1628–1632 (2011)

    Google Scholar 

  21. Sharma, R.N.: Ayurveda-sarsangrha, 13th edn, pp. 101–102. Shri Baidhyanath Ayurveda Bhavan Ltd., Varanasi (1985)

    Google Scholar 

  22. Mishra, L.C.: Scientific bases for Ayurvedic therapies, Handbook of Ayurveda, pp. 83–100. CRC Press, Washington (2004)

    Google Scholar 

  23. Pal, S.K.: The ayurvedic bhasma: The ancient science of nanomedicine. Recent Patents on Nanomedicine. Bentham Science Publishers, 5, 12–18 (2015). 1877-9131/15

    Google Scholar 

  24. Raveendran, P., Fu, J., Wallen, S.L.: Completely “green” synthesis and stabilization of metal nanoparticles. J. Am. Chem. Soc. 125, 13940 (2003)

    Article  Google Scholar 

  25. Pareek, A., Bhatnagar, N.: Revisiting ancient therapeutic potential of bhasma. Int. J. Pharm. Sci. Res. 9(8), August 2018

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nitu Bhatnagar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bhatnagar, N. (2020). Role of Robotic Process Automation in Pharmaceutical Industries. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_50

Download citation

Publish with us

Policies and ethics