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What will be the state of the healthcare industry post pandemic?

4 minutes, 9 seconds read

The COVID-19 has proven to be havoc in this tech-savvy world. The community of Healthcare and Development has become the epicentre of the World’s attention for the motives of fighting against the disease; providing social services in this pandemic situation and promoting humanity and livelihood above all. 

However, on the flip side of the coin, we are witnessing challenges like never before. With the outbreak of this catastrophic pandemic, medical accessibility and safety have become our primary concern, bringing about a paradigm change in the state of the healthcare industry throughout the world.

As goes the old adage, “Necessity is the Mother of Invention”; the healthcare sector, post COVID-19 pandemic; is about to undergo metamorphosis with a plethora of new ideas. Getting accustomed to the lockdown phase, people are more and more acquainted with the use of technology. From 8 to 80 almost everyone has resorted to the digital platform and shall continue to retain the habit post-pandemic. Like other brick and mortar bodies, a huge part of healthcare shall have to move online, too.

AI-powered customer support

The idea of telecommunication in the field of healthcare will see a sudden spike in usage. The number of telehealth consults has risen exponentially during this pandemic and it will multiply manifolds post COVID-19. During this outbreak, with an increase in queries and lack of live agents, AI-powered customer support can be used as the first line of communication. Unlike old IVR’s, AI-enabled customer support shall understand the patient’s needs and converse with them as a live agent. 

Vozy’s Lili, is a conversational AI platform for healthcare organizations that alleviates pressure caused due to high call volume. Apart from providing customer assistance, it maintains a complete patient flow and helps monitor the health conditions post-treatment.

AI in customer support

Healthcare professionals are also opting for chatbots for checking symptoms to access symptoms, understand the conditions and accordingly suggest remedies or schedule appointments. 

Automation for contactless patient management

While we pull up our socks for a strategic battle, we can promote our major workforce and healthcare by optimizing and digitizing it, sans promoting widespread of this contagious phenomenon.

Data management of patient’s documents not only consumes a lot of bandwidth of medical staff but might also increase the phobia of the spread of coronavirus through touch, post-pandemic.

“End-user organizations adopt RPA technology as a quick and easy fix to automate manual tasks,” said Cathy Tornbohm, vice president at Gartner.

Healthcare applications, like Practo, can not only automate healthcare data management but also provide expert suggested healthcare tips. It connects with the nearest doctors and helps you choose on the basis of feedback, fees and doctor’s profile. It provides affordable healthcare packages, free healthcare tips and many more.

Automation for contactless patient management - Practo

With the implementation of automation in healthcare, it will not only reduce redundancy time but also provide an unbiased and transparent workflow. 

[Also read – Are wellness and diagnostic apps transforming ‘Patient Experience’]

Remote monitoring

AI in healthcare is going to be the next big revolution. Preserving human life by implementing robotic operations would be the next big step in the medicine industry. Basic hygiene will become the most important factor and the scarcity of equipment which we are facing will alarm us to prepare in an exponential and not in a linear way.

In radiology, medical professionals examine medical images such as an X-Ray, ECG or a radiogram to diagnose the illness and suggest a solution. With telemedicine being very popular in present times, workstations can be created where radiologists worldwide can consult each other. With the help of AI and machine learning, solutions can be suggested to the medical practitioner. 

Neucleus.io is one such web-based work station that provides access to medical images with diagnostic workstation performance. 

Medical Images Management - healthcare industry

Training neural networks with the results of past attempts can rule out the need to test every combination in drug creation. It can also guide the treatment discovery process and help in telemedicine through drug selection.

To maintain social distancing and contactless patient monitoring, Robot doctors of Canada are already performing real-time ultrasound and helping doctors treat patients remotely.  

A different future for the healthcare industry

Post pandemic, more of the typical traditional process requiring human functioning will be replaced by machines, to work more swiftly, providing better results. Thermal sensors will be incorporated in our everyday use gadgets like Mobile phones to allow a thermal scanning process so as to differentiate between normal and ill people on the basis of parameters like body temperature, sweat, facial symptoms, etc. 

Digital transformation will be prevalent everywhere post this catastrophe and machines, technologies and AI will become the tools in reshaping the structure of the healthcare industry. If such a situation knocks our door again, we will be all set to sail through the storm.

Check out the webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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