The healthcare industry strives to become a comprehensive clinical data repository that can effectively manage and provide access to a longitudinal health record.
However, several obstacles hinder the adoption of a cloud-native infrastructure, including the volume, velocity, complexity, disjointedness, and limited access of health data. The industry faces multiple hurdles to adopt a cloud native infrastructure; including getting necessary team members to no longer rely on traditional systems, solve a lack of engineering or development resources, access budget constraints and integrate data collected from outdated systems.
One of the primary challenges is the reluctance of organizations to abandon their traditional systems, including niche commercial-off-the-shelf (COTS) apps. The lack of resources or understanding of the benefits of a cloud- native environment, or simply the time for team members to learn and implement changes play a huge role in the ability in adapt changes.
Hospitals are running 24/7 and sometimes with limited personnel to help, forcing many to prioritize their immediate needs and see innovation as a longer process. The absence of engineering, development resources, and even budget, may play a significant role in their unwillingness to pull the trigger.
Integration poses another challenge for healthcare organizations and their patients. There are older systems that have collected information in a format and newer solutions may collect in a different format or the equipment running is antiquated and therefore difficult to access without some major changes.
Microsoft Azure offers a comprehensive set of services specifically designed to address these challenges in the healthcare industry.
Azure provides healthcare organizations with a secure, scalable, and flexible infrastructure to manage and analyze their data effectively. These tools enable organizations to overcome the obstacles faced in their data management processes.
By leveraging Azure’s powerful data analytics and machine learning capabilities, healthcare organizations can gain valuable insights from their vast volumes of health data. Azure Machine Learning allows organizations to build predictive models for early disease detection, personalized treatment plans, and improved patient outcomes. Additionally, Azure’s big data analytics capabilities enable healthcare organizations to analyze large volumes of data in real-time, identify trends, and make data-driven decisions that enhance operational efficiency and clinical outcomes.
Azure also provides robust security measures and compliance standards that align with the strict regulations of the healthcare industry. Healthcare organizations can trust Azure to protect sensitive patient data, as it adheres to industry standards such as HIPAA (Health Insurance Portability and Accountability Act) and HITRUST (Health Information Trust Alliance). Azure’s comprehensive security features, including data encryption, access controls, threat detection, and monitoring, help mitigate risks and safeguard against cyber threats.
As a partner, we understand these challenges and can help healthcare organizations in navigating their cloud transformation journey.
The Xebia|Xpirit team can provide education to ensure that staff is well-equipped to leverage the tools and benefits of the cloud. We can help healthcare organizations reach their goals or get closer to them with the budget they are given. In addition, expert specialists can develop and implement cloud solutions, as well as train onsite staff, setting organizations up for success. Healthcare organizations can fully take advantage of what the cloud can offer with our assistance.
Despite the challenges, the cloud holds great promise for the healthcare industry. As healthcare organizations continue to adopt cloud-based solutions, significant improvements can be expected in the quality of care provided to patients. By overcoming these hurdles and embracing the cloud, the industry can unlock new opportunities for innovation, efficiency, and enhanced patient outcomes.