The 12 Benefits Of Cloud Computing In Healthcare

Significant cost savings are one of the key reasons for medical organizations to consider cloud computing, as it eliminates the need for upfront investment into hardware. Organizations can pay for cloud services on a subscription basis and shift costs from capital to operational budgets.

Researchers estimate that cloud adoption enables service providers to reduce IT infrastructure costs by 45–60% for large healthcare systems. Indirect savings also include operational efficiency, enhanced resilience against cyberattacks, and automation capabilities. 

Yet, experience is the key. You need someone who knows how to migrate infrastructure cost-efficiently and help with cloud cost management. If you do not have such specialists in your in-house team, consider hiring a reliable provider of DevOps management services.

Cloud providers offer specialized solutions for healthcare and life science organizations with enterprise-grade security policies that the latter may struggle to implement and manage on their own. Those include advanced identity and access control, secret management, and threat monitoring and detection.

Medical cloud services support many compliance requirements and regulatory standards. For instance, AWS for Healthcare & Life Sciences ensures compliance with 1,000+ global requirements, which is validated by third parties. 

Moreover, cloud providers are responsible for security updates and patches, helping healthcare organizations protect sensitive data by quickly addressing infrastructure vulnerabilities.

Healthcare organizations face increasingly growing process complexity when using disparate solutions for appointments, patient records, virtual consulting, staff scheduling, and other administrative and treatment-related tasks.

Cloud solutions for healthcare industry can help unify disjointed operations into a seamless system by enabling an efficient data exchange between its parts. They improve care continuity and reduce administrative workload.

Healthcare organizations modernize their legacy systems to eliminate security risks and productivity limitations. Yet, a successful transition requires expertise in legacy system migration. To avoid the risks of process interruptions, a gradual migration works best.

Migration specialists can help transfer stand-alone jobs, user data, and related processes, ensuring instant access to them for end users, while one part of functionality can already be in the cloud and another still be legacy. 

Gradual cloud migration completed by experts allows healthcare organizations to reduce maintenance costs by 50%, improve productivity, and meet security requirements without overcomplicating or disrupting processes.

While patient-facing specialists require personal presence, remote and on-the-go workflows can apply to administration, accounting/billing, support, or field roles. Also, online collaboration becomes crucial when patients are discharged from the hospital and monitored at home with the help of sensors and mIoT devices.

Cloud solutions enable well-structured, highly functional, and secure work environments, providing access to patient data and improving coordination of healthcare organization employees, including remote and field teams.

Healthcare organizations increase flexibility by opting for a cloud strategy. Also, they can add new functionality, AI capabilities, or tune workflows more efficiently compared to on-premises software. Provisioning additional computational power or data storage is also simplified and can be switched on or off quickly as needed. 

The cloud streamlines change management and evolving infrastructure needs. It enables the use of a CI/CD pipeline, reducing the update delivery timeline to minutes. 

Cloud can help overcome existing constraints in treatment experiences. Cloud solutions enable healthcare organizations to better engage patients in active treatment by providing access to scheduling appointments, timely reminders, medical records, test results, and more.

More importantly, patients and clinicians may have different perspectives on how to use medical devices or system features. The flexibility of cloud solutions allows organizations to test workflows and address identified collaboration challenges, efficiently designing meaningful solutions for each particular user group.

Cloud solutions for healthcare simplify access to administrative and clinical data across different settings. They allow the healthcare industry to overcome traditional challenges, such as fragmented patient data and limited connectivity between different organizations. 

It is possible to build APIs for efficient data exchange and implement advanced security standards (HL7, SOC2, FHIR) to protect data. The DevSecOps approach has been designed specifically to help organizations secure system code and infrastructure from cyberattacks in the cloud.

The use of cloud infrastructure makes scalable and reliable virtual care platforms possible without excessive investment. Healthcare organizations can quickly extend their telehealth service offerings to support patient needs for digital triage, remote diagnostics, or repeat visits. 

Remote patient monitoring devices can securely send data to the cloud for collection and real-time analysis, improving care provision in underserved areas. Cloud-based apps can also serve compliant communication between healthcare providers and patients, while maintaining the required privacy level. 

There is a wide range of instruments for automating the creation of system snapshots, their tracking, and storage in different clusters. DevOps specialists can help with implementing disaster recovery. Alerts and notifications will not let problems go unnoticed and put operations on hold. 

Cloud is a much better option for uninterrupted processes — cloud platforms demonstrate 99.995% uptime compared to 97.9% for on-premises systems, which makes them better suited for ensuring 24/7 access to patient health records and system functionality.

Healthcare professionals can access a comprehensive patient record through cloud-based integration of EHR, imaging, test results, treatment notes, and monitoring data within one system. It shifts part of the search and administrative work to the machine and provides doctors more time to work with patients. 

An improved overview of a patient allows for improved care coordination, reduces the need for repeat tests, and minimizes the risk of errors caused by incomplete information. All these factors help prevent adverse events, which are estimated to cost the US healthcare system $20B annually.

Cloud provides sufficient capabilities for centralized management of big data. It simplifies the implementation of advanced analytics to make possible a transition to proactive care. Using big data and AI, healthcare professionals can identify risks earlier and make informed decisions based on improved diagnostic results.

Also, AI-based cloud solutions can be helpful for processing patient history, genetics, lifestyle factors, and social determinants in a tailored treatment plan. This translates into improved outcomes, fewer readmissions, and higher patient satisfaction with the delivered services.

If you need support with cloud computing in healthcare, our team is here to help. We also offer custom healthcare software development services to build solutions tailored to your specific needs.