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How Smart Technology in the USA is Improving Efficiency in Healthcare

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Smart technology in healthcare marks is set to make a significant improvement in patient care. In the US, advancements in digital health technologies such as AI, the Internet of Things (IoT), telehealth, and wearable devices are already revolutionizing how healthcare providers approach diagnosis, treatment, and patient management. 

According to recent studies, medical errors are the third leading cause of death in the United States causing up to 251,000 deaths annually. Thankfully, these digital health trends will diminish human errors, enhance the quality of care, streamline operations, reduce costs, and improve access to healthcare services across the population. 

As the healthcare industry embraces these exciting innovations, understanding the role and impact of smart technology is essential in every area, from audiology and eye care to dental and diagnostics. 

The Role of Smart Technology in Healthcare

Hospitals worldwide are suffering from staff shortages and lack of treatment access. Advanced digital tools and systems will tackle these issues by leveraging data, connectivity, and automation to improve healthcare delivery and, ultimately, patient outcomes. These technologies have various applications, from electronic health records and telemedicine to wearables and AI-powered diagnostic tools. Thanks to the power of these innovations we’re about to see a more equitable society with personalized, efficient, and effective healthcare for all. 

Telehealth and telemedicine

The rise of telehealth and telemedicine has been one of the most significant shifts in healthcare delivery, especially during the pandemic. Patients can receive medical consultations and follow-up care remotely, significantly expanding access to healthcare services, particularly for individuals in rural or underserved areas.

Wearable health monitoring devices

Wearables such as fitness trackers, glucose monitors, and smartwatches enable continuous monitoring of health metrics in real-time. These devices are typically worn by people with chronic diseases and studies show that 30% of hospital visits by patients with common conditions are unnecessary. Luckily, ongoing monitoring can alert healthcare providers to potential health issues before they become serious, allowing for proactive management of chronic conditions and overall health without overwhelming hospitals.

Artificial intelligence and machine learning

AI in healthcare offers exceptional precision in diagnostics, treatment plan development, and even in predicting patient outcomes. The benefits of AI in healthcare include analyzing vast amounts of data to identify patterns and insights that would be difficult for humans to discern, leading to more accurate diagnoses and personalized treatment plans.

Blockchain in healthcare

Blockchain technology enhances the security, privacy, and efficiency of health data exchange. Providing secure records of transactions, blockchain can facilitate a transparent and reliable exchange of medical information among healthcare providers, payers, and patients.

Electronic health records 

Fast and accurate data access has transformed how patient records are stored, accessed, and used across the healthcare system. By digitizing these records, healthcare providers no longer have to waste time sourcing and authenticating patient information, facilitating better-informed decision-making and more coordinated care.

Benefits of Smart Technology in Healthcare

Thanks to smart technology, the world is becoming more advanced in many areas – including the healthcare industry. Patients and healthcare workers alike can enjoy a multitude of benefits, including efficient and effective medical services. With improved patient care and optimized everyday operations, these benefits lead to significant cost savings and increased satisfaction overall.

Fast, efficient operations

AI in healthcare provides better administrative and clinical processes, reducing the time and resources typically required for routine tasks. Electronic health records, for example, have eliminated paper documentation, making patient data easily accessible and shareable among healthcare professionals. The automation of scheduling, billing, and inventory management also reduces administrative strain, giving medical staff more time to focus more on patient care. Another way healthcare providers can minimize costs and maximize efficiency is by monitoring overall equipment effectiveness. OEE assesses the effectiveness of medical equipment and technologies, ensuring they are available, reliable, and performing at their optimal capacity. By monitoring and improving OEE, healthcare facilities can reduce equipment downtime, enhance patient care, decrease delays in diagnosis or treatment, and ensure a higher return on investment in medical technology.

Improved patient care and satisfaction

Access to healthcare is something that the world has struggled with for decades. But thanks to telehealth services and wearable health monitoring devices, providers can now give personalized patient care outside of traditional clinical settings. Quality of care, increased patient engagement and satisfaction are some benefits of AI in healthcare, providing patients with greater control over their health and well-being. While trained human healthcare workers offer excellent services, smart technology can greatly enhance them. AI-driven diagnostics and treatment produce high-degree precision and personalization, leading to better health outcomes. 

Reduced healthcare costs

One of the barriers to receiving correct, quality healthcare is finances. Luckily, smart technology is significantly reducing healthcare costs in many ways. For instance, telehealth decreases the need for in-person visits, saving money for healthcare providers and patients. Predictive analytics and real-time health monitoring can prevent costly emergency interventions by identifying potential health issues before they escalate. Plus, AI and machine learning optimize resource allocation, ensuring that healthcare services are delivered more cost-effectively.

Improved accuracy in diagnostics 

Traditionally, coming to an official diagnosis can take a long time due to inspecting data and cross-examinations. Sometimes, this can lead to inaccuracies or late diagnosis with little room for treatment. Fortunately, AI in healthcare and machine learning algorithms can easily analyze large amounts of medical data with incredible accuracy and speed, outperforming the usual methods we use to identify diseases and predict outcomes. For instance, AI algorithms can more accurately interpret imaging results, leading to earlier and more precise diagnoses of conditions like cancer, cardiovascular diseases, and neurological disorders. Using this accurate data, healthcare providers can plan personalized treatments and provide better overall patient care. 

Challenges and Considerations

While smart technology in healthcare brings many advantages, it also presents some challenges. Privacy and security concerns are critical, as the increased digitization of health information raises the risk of data breaches. Ensuring the equitable distribution of these technologies is crucial to avoid widening the health disparity gap. But, there’s a need for comprehensive training for healthcare professionals to adapt to these new technologies effectively. Overcoming these barriers requires thoughtful policy-making, strong security measures, and ongoing education.

Optimizing Healthcare

As digital trends suggest, smart technology will boost efficiency in the USA by improving every area of healthcare, from diagnostics to disease prevention. Despite challenges, the potential benefits are vast and exciting. To learn more about smart technology in healthcare and other industries, speak to our professional team at Mantra Labs for more information today. 

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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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