Hybrid cloud data management is transforming the healthcare ecosystem | HCLTech

Hybrid cloud data management is transforming the healthcare ecosystem

Integrating digital pathology in hybrid cloud plays a major role in the future of patient-centric care
4 minutes read
Jordan Smith
Jordan Smith
US Reporter, HCLTech
4 minutes read
Hybrid cloud data management is transforming the healthcare ecosystem

The healthcare ecosystem is going through a rapid transformative moment as hybrid cloud data management is set to redefine patient-centric care. More and more global healthcare organizations are embracing cloud-based solutions for a more collaborative approach to care.

The technological advancements from cloud computing have helped blur the lines between wellbeing and healthcare, resulting in a new ecosystem that combines elements of both to transform healthcare delivery.

Among the health platforms with apps and technologies that cover healthcare, digital pathology integration is seen as a vital component to proving the potential of the future of digital care. Through digitizing pathology slides and leveraging image analysis algorithms, healthcare providers can engage in more remote healthcare collaboration and consultations. It also helps pathologists analyze images in real time, accelerate diagnoses and improve patient outcomes.

Digital pathology also allows for the use of machine learning and AI algorithms to assist pathologists.  This capability has demonstrated promising results in various applications, including cancer diagnosis, predictive analytics and personalized treatment strategies.

Challenges to digital pathology

Implementing digital pathology requires a different approach and is more than just purchasing scanners to digitize slides and an image viewer. Organizations must identify a comprehensive solution while also delivering a strong return on investment.

Another challenge is managing the huge amount of data that pathology generates annually and the storage requirements needed. The large amount of data is estimated to reach up to 10,000 petabytes. Hospitals may also require several petabytes of storage to handle daily diagnostic imaging, pathology slide scans and digitization of archives can span several years.

Implementing a digital healthcare solution

Careful evaluation and selection of a digital pathology storage solution that addresses a business’ unique requirements is essential to overcoming these challenges. Organizations must consider factors including storage scalability, data security, compliance with privacy regulations and cost-effectiveness.

On-premises-first hybrid storage solutions can be one way to do this as they follow an infrastructure approach, prioritizing continuity of on-prem workflows and treating cloud as an enhancer that can be removed without disruption rather than a primary enabler of digital transformation. Doing this allows for the large volume of pathology data to be managed without requiring a complete renovation of critical workflows.

Through on-premises-first hybrid workflows, cloud adoption offers benefits that include: cost optimization and data protection, multi-site collaboration to fuel clinical work and research and AI for faster and more accurate diagnosis.

Cloud: The catalyst for innovation

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Leveraging a Digital Patient Care Platform for better outcomes

Taking a more patient-centric approach to patient support initiatives requires providing faster access to diagnosis, prevention and treatments. HCLTech’s Digital Patient Care Platform provides a connected patient ecosystem, driving sustained relationships and reducing time and cost to launch patient care, support and engagement programs across countries, products and indications.

This cloud-based platform provides pre-built services for patient information, engagement, access and adherence management, compliance with HIPAA and other patient data privacy regulations. It allows drug and device companies to jump start development and launch patient centric programs at a global scale, without spending time building foundational capabilities.

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