The Healthcare Information and Management Systems Society (HIMSS) conference serves as a beacon for the healthcare industry, showcasing the latest innovations and trends that shape the future of healthcare. In 2024, HIMSS once again brought together industry leaders, innovators, and stakeholders to explore the transformative potential of technology in healthcare. In this blog, we will delve into the significant trends, challenges, and insights that have surfaced during our three days at HIMSS in Orlando.

Healthcare organizations require a secure clinical communication and collaboration system that ensures care teams are well-equipped to effectively communicate, coordinate, and maximize collective knowledge to deliver high-quality patient care successfully. This system should prioritize patient privacy and data security while facilitating seamless information exchange among healthcare professionals across various departments and locations.

Software deployment, a critical process in software development, refers to all the activities that make a software system available for use. It’s the stage where all the hard work of creating software culminates into something tangible that users can interact with. But before we delve into its complexities, let’s first understand the basics of software deployment.

Application migration is the process of moving an application from one environment to another. For example, you may choose to migrate an application from an on-premises enterprise server to a cloud provider’s environment, or from one cloud environment to another. The aim is typically to improve the flexibility, scalability, and cost-effectiveness of the application. Application migration is a complex process that requires careful planning and execution.

Cloud cost management, also referred to as cloud cost optimization, is the process of managing and controlling a company’s spending on cloud services. This can be achieved through a variety of methods, such as usage monitoring, resource optimization, and cost forecasting. The first step in managing cloud costs is to understand how cloud resources are being used. This involves tracking the usage of each service and identifying any trends or patterns.

With notable advancements in Artificial Intelligence (AI) within cybersecurity, the prospect of a fully automated Security Operations Center (SOC) driven by AI is no longer a distant notion. This paradigm shift not only promises accelerated incident response times and a limited blast radius but also transforms the perception of cybersecurity from a deterrent to that of an innovation enabler.

Recently, I stumbled upon an eye-opening NPR podcast that delved into the lingering use of pagers in healthcare—a seemingly outdated technology that continues to drive communication in hospitals. As I listened through the debate around its persistence, discussing challenges and unexpected benefits, it prompted reflections on facilitating a seamless shift to secure phone-app-based texting, acknowledging the considerable advantages it brings.

Monitoring tools, also known as observability solutions, are designed to track the status of critical IT applications, networks, infrastructures, websites and more. The best IT monitoring tools quickly detect problems in resources and alert the right respondents to resolve critical issues. Response teams use observability solutions to gain real-time insights into resource availability, stability and performance.

Most software engineers know that they are typically tasked with on-call shifts, but new software engineers entering the field may be asking themselves – What do I even do if I get scheduled for an on-call shift? This is a common question that often doesn’t get answered until that first on-call shift, and unfortunately that can be overwhelming for a young professional who is nervous about their first on-call shift, let alone their first incident.

Large Language Models (LLMs) are advanced artificial intelligence models designed to comprehend and generate human-like language. With millions or even billions of [parameters, these models, like GPT-3, excel in natural language processing, understanding context, and generating coherent and contextually relevant text across various applications.