Introduction

Cloud computing has become an important tool in biomedical research and healthcare. Instead of relying only on local servers, hospitals and research centers can now store and process data using remote infrastructure. According to the National Institute of Standards and Technology (NIST) [2], cloud computing allows on-demand access to shared computing resources such as storage, networks, and applications.

In healthcare, this is especially useful because of the large amount of data generated, including patient records, imaging data, and genomic information. Managing this kind of data with traditional systems can be difficult and expensive [1,3].

Remote Patient Monitoring and the Cloud

One area where cloud computing is particularly useful is Remote Patient Monitoring (RPM). This approach allows doctors to follow patients outside the hospital using digital technologies [4,5].

For example, wearable devices such as heart rate monitors or glucose sensors can continuously collect patient data. This data is then sent to cloud platforms, where it can be stored and analyzed in real time. In my opinion, this is one of the most interesting aspects of cloud computing in healthcare, because it allows continuous monitoring without requiring patients to stay in the hospital.

Cloud platforms can combine information from different sources:

  • Electronic Health Records (EHRs), which provide medical history [1]
  • Wearable devices, which provide real-time data [5]
  • Analytical tools, which help detect patterns or risks [4]

Examples of Cloud-Based Healthcare Platforms

Several platforms have been developed to support these applications. One well-known example is IBM Watson Health, which historically contributed to the use of cloud and artificial intelligence in healthcare data analysis [1].

Today, many cloud providers offer healthcare-focused services. For instance, platforms like Google Cloud provide tools for storing medical data securely and analyzing it at scale.

These systems allow healthcare professionals to detect early warning signs, support clinical decisions, and improve patient management [4,6].

Benefits of Cloud Computing in Healthcare

Using cloud computing offers several advantages:

  • Scalability: Systems can easily handle large amounts of data without needing new physical infrastructure [1,3]
  • Cost efficiency: Organizations pay only for the resources they use, instead of investing in expensive hardware [2]
  • Accessibility: Data can be accessed securely from different locations, improving collaboration between professionals [3]

Challenges and Limitations

Despite its advantages, cloud computing in healthcare also presents some challenges.

  • Data privacy: Patient data must be protected according to regulations such as GDPR in Europe or HIPAA in the United States [3]
  • Security risks: Although cloud providers invest heavily in security, data breaches are still a concern [2]
  • Integration issues: Combining data from different systems can be complex [4]

Because of this, healthcare institutions need to carefully manage how they use cloud technologies.

Conclusion

Cloud computing is becoming a key component of modern healthcare systems. It enables more efficient data management and supports applications such as remote patient monitoring, which can improve patient outcomes [6].

Although there are still challenges, especially related to privacy and security, the benefits of cloud computing make it an essential tool for the future of biomedicine.

References

[1] Solsona Tehas, F. (2026). Session 1 and 2 - Introduction to Cloud Computing + Github Pages-2026.pdf. Universitat Rovira i Virgili and Universitat de Lleida.

[2] Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. National Institute of Standards and Technology. View on NIST

[3] Vilaplana, J., Solsona, F., et al. (2013). The cloud paradigm applied to e-Health. Journal of Medical Systems. View on PubMed

[4] Ali, O., Shrestha, A., Soar, J., & Wamba, S. F. (2018). Cloud computing-enabled healthcare opportunities, issues, and applications. International Journal of Information Management. View on IDEAS

[5] Vegesna, A. et al. (2017). Remote patient monitoring via non-invasive digital technologies: a systematic review. Telemedicine and e-Health. View on PubMed

[6] Taylor, M. L. et al. (2021). Does remote patient monitoring reduce acute care use? A systematic review. BMJ Open. View on PubMed