- September 21, 2019
- Posted by: Angha Bhagat
- Category: Cloud
Devops on Cloud for healthcare industry
DevOps is the delivery of advanced services and capabilities through continuous processes, with the goal of reducing the systems development life cycle. DevOps allows for the rapid delivery of features, fixes and updates while significantly reducing the time to market. This especially important for healthcare organisations that need to remain competitive by evolving and improving products at a faster pace than organisations using traditional software development and infrastructure management processes.
The healthcare industry is rapidly developing data-driven technology solutions to further patient-centered care all while reducing costs. With the healthcare landscape shifting to an on-demand delivery system of medical services and solutions, healthcare providers and hospitals are turning to DevOps in an effort to advance healthcare innovation.
The healthcare industry has goldmines of data at their disposal. However,healthcare companies have to comply with multiple regulations and ensure strict security while processing the data. This is why a DevOps approach to infrastructure management is very beneficial for healthcare.
The healthcare industry has grown and matured significantly over the decades. From shelves filled with files, it has moved on to utilizing the latest IT technology available, dedicated data centers and public or private cloud infrastructure. However, despite being a noble activity, healthcare is still a business and must be profitable.
DevOps to help revolutionize their healthcare practices.
Improving efficiency.Developing applications and healthcare services is a critical process to deliver new healthcare solutions. However, this process must be managed properly so that you don’t experience vast amounts of resources sprawl. DevOps offers ways to leverage resources much more efficiently
Implementing security models.This part is really cool. Remember, DevOps isn’t just application development. Rather, it’s the delivery of advanced services and capabilities done through a powerful and continuous processes.You literally have the capability to create a blockchain method to securely process and transfer PHI/PII and change the way patient data can be secured. If you’re worried about a lack of cryptographic skillsets, know that DevOps organizations are already creating these types of solutions for global financial institutions. In the healthcare world, security is paramount. And, DevOps can help create new types of security models above and beyond the methods we’ve been using for years.
Data capacity.This part is really cool. We’re constantly creating data. Of course, we can process all of it – but there is a lot that’s actually valuable. DevOps in the healthcare world can help create sets of APIs, which abstract data and position them to be leveraged by applications, services, and even secured cloud providers.
From there, you can build AI engines which help with patient engagement and even improve patient portals.
Plus, can you imagine what an AI or machine learning engine can do for population health? If you’re a distributed healthcare organization with locations throughout the country, you need to look at DevOps as a real option to help you create powerful health outcomes for groups of individuals.
These types of solutions can help you gather data and make better decisions as measured by health status indicators and as influenced by social, economic, and physical environments, personal health practices, individual capacity and coping skills, human biology, early childhood development, and health services. DevOps is here to build platforms to help aggregate these data points and leverage data even further.
Although the process of extracting accurate and meaningful insights from healthcare data can be challenging, the opportunity to convert data-driven findings into relevant critical insights and deliver improved patient care is tantamount to moving medicine forward in the modern age. As patient data continues to grow at an exponential rate, healthcare providers have turned to DevOps in an effort to accelerate their complex big data project deployments.
With a variety of data sources ranging from Electronic Health Records (EHRs), medical devices, pharmacies and lab reports, to insurance claims, comes the need to structure, update and analyse that data for effective and improved healthcare delivery. The deployment delays associated with a traditional software development life cycle can significantly raise the cost and affect the overall usability of the project.
DevOps in healthcare offers an alternative to traditional software development, improving and accelerating the implementation of big data tools. By combining development with operations teams, DevOps employs practices to automate processes that historically have been manual and slow. Backed by processes that facilitate speed with frequency and pace, DevOps enables operational efficiencies, transforming how data-driven applications are designed, built and delivered.The advantages of pairing big data with DevOps far outweigh any integration challenges.
The ability to leverage DevOps in the analysis of big data healthcare sets can help providers reduce treatment costs, predict outbreaks of epidemics, avoid preventable diseases and improve patient quality of care and outcomes.
Supports Data Science Initiatives
Data scientists utilize a variety of languages, toolkits and frameworks for the development of machine learning models. Execution of machine learning models for deep learning requires scalable compute infrastructure, operating on specialized virtual machines equipped with specific hardware such as GPUs and machine learning software dependencies.
Provisioning, deploying, managing and scaling this type of compute infrastructure is a technically involved undertaking. This is where the DevOps function can provide support to data science teams by ensuring data is constantly up to date and accurate for utilization.
This is especially advantageous and critical in healthcare when your data science initiatives use data that could yield an outcome that directly impacts patients.
For instance, using DevOps to automate extract, transform, load (ETL) of patient data into databases so that it’s of high quality and accuracy for machine learning algorithms that analyze medical images to diagnose patients.
DevOps for Results
Advances in compliant development platforms, built to ensure the confidentiality, availability and integrity of protected healthcare information has enabled a more agile environment for innovation in healthcare. By combining development and operations teams with security and quality assurance, the DevOps model creates improved efficiencies and coordination benefits while streamlining processes that help reduce time to market. Implementing DevOps practices for IT operations allows healthcare providers and hospitals to more effectively serve their patients and remain competitive in the market, ultimately improving patient outcomes at lower costs.