DevOps in Healthcare – Implementation and Key Benefits

Why DevOps in Healthcare should be Considered?

In the past few decades, the healthcare industry has achieved rapid development. Paper clinics and hospitals have been replaced by smart technology applications towards more agile hospital management systems. Data is the key to the healthcare industry and is considered a key component of this treasure house. However, this data needs to comply with relevant security protocols and also be easily accessible. This is where DevOps can come in and help in gaining a competitive advantage via quick responses, data-driven insights and advanced caregiving.

DevOps provides advanced services and functions through continuous processes, with the goal of shortening the SDLC. DevOps allows rapid delivery of features, fixes and updates, while greatly reducing time to market. This is especially important for healthcare organizations that need to develop and improve products faster than traditional software development and infrastructure management processes to stay competitive. The proliferation of healthcare data, coupled with the stringent requirements of HIPAA, GxP and GDPR, poses unique challenges to the transformation of healthcare with DevOps.

The healthcare industry is rapidly developing data-driven digital solutions to further realize patient-centric care while reducing costs. As the medical field shifts to systems that provide medical services and solutions on demand, healthcare providers and hospitals are looking for DevOps to advance innovation.

What is the Step-by-step Guide to Implement DevOps in Healthcare?

If you are wondering how to Implement DevOps in healthcare, we have come up with 6 phases that will help you adopt DevOps quickly and efficiency, as below:

Phase 1 – Continuous Planning:

Review development and operations activities to modify for DevOps healthcare implementation. At this stage, the financial impact of the development and the required human resources must be planned.

Phase 2 – Code Repository with Version Control:

Implement a versioning system for developers to coordinate and control coding. Each custom healthcare solution code repository and the changes applied can be tracked. Using DevOps for healthcare application development should provide developers with an offline copy of the code repository, as well as all changes recorded on the main server.

Phase 3 – Continuous Integration (CI):

Before building and testing, focus on continually merging changes in the code into the central repository. Deploy CI tools to effectively manage application development to ensure the accuracy of configuration and integration. CI assists in the automation of software updates and cross-departmental integration of data.

Phase 4 – Automated Build:

The automation moves towards an integrated nursing solution in which automatic retrieval of scripts and codes is deployed. This recovery should be enabled from the code repository and then compiled into a binary artifact for regular testing.

Phase 5 – Automated Release through Continuous Deployment (CD):

CD is the process of ensuring that customized healthcare solutions are released at any time by regularly sending updates to the production. This step of delivering and deploying customized solutions involves delivering software and regular updates in an automated and continuous manner.

Phase 6 – Continual Feedback and Monitoring:

The last and final step to deploy DevOps is the key to sustainability. Continuous monitoring is used to ensure that healthcare software development applications are operating at an optimal level. A microscopic approach should be used to investigate every small detail, and regular feedback should be collected through self-monitoring and analysis, and data collected in an automated manner.

What are the Benefits of Implementing DevOps in Healthcare?

From faster delivery to higher quality, there are many benefits of DevOps in healthcare. A few of the benefits of DevOps in healthcare industry are as under:

• Increases Patient Engagement and Satisfaction
• Strengthens Competitive Advantage
• Facilitates Regulatory Compliance & Information Security
• Supports Data Science Initiatives
• Automates Daily Routine Tasks
• Enhances Data Leveraging
• Improves Infrastructure Efficiency and
• Reduces Operational Expenses (OPEX)

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