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Safeguard Healthcare Innovations with AIOps - Part 1

Sean McDermott
Windward Consulting Group

You've likely heard it before: every business is a digital business. That saying is increasingly true; however, some businesses and sectors digitize more quickly than others. Healthcare has traditionally been on the slower side of digital transformation and technology adoption, but that's changing.

A vast majority (81%) of worldwide healthcare executives say digital transformation is accelerating within their organizations, according to Accenture's Digital Health Technology Vision report. And 93% say they're innovating with urgency.

Even as a regular consumer, healthcare's digital transformation isn't hard to see. Readily available telehealth platforms connect patients and providers for more convenient and accessible healthcare services. And some caregivers use innovations like wearable devices to track patient health from afar.

Technology is also working behind the scenes to modernize healthcare organizations. Smart technologies can help this data-heavy industry modernize its internal systems, providing fast, accurate information on things like the number of available beds, patient status and supply inventory. Artificial intelligence (AI) can also do the heavy lifting typically involved in mundane administrative processes like paying bills, maintaining patient databases and scheduling appointments.

Many digital-first healthcare organizations are finding a new challenge as they embrace technology: businesses must guarantee seamless digital experiences. In other words, they must keep their apps and services always on and performing well.

Too often, there is so much attention on buying or developing apps and services that sustaining these innovations is overlooked. But system downtime can be costly for any business and particularly harmful for those in the healthcare industry.

As healthcare organizations roll out innovations at increasing velocity, they must build a long-term strategy for how they will maintain the uptime of their critical apps and services. And there's only one tool that can ensure this continuous availability in our modern IT ecosystems. Artificial Intelligence for IT Operations (AIOps) can help IT Operations teams ensure the uptime of critical apps and services.

How AIOps Helps Healthcare Systems

There's a common misconception: someone flips the technology "on" switch, and apps and services stay online and operate at peak performance. Unfortunately, this isn't the case.

Human IT Operations teams must operationalize healthcare technologies and then maintain them to provide reliable systems for patients, providers and other employees. After all, the systems, applications and networks behind the technologies that make our lives easier tend to be complex.

Maintaining uptime in these complex environments rides on monitoring and catching service-disrupting incidents before they impact the user. But humans can no longer perform this monitoring and detection alone because there is simply too much data for humans to process. Our modern systems prove too layered, interdependent and ephemeral. On top of this complexity, modern systems also spit out so much data that it's virtually impossible for human operators to handle, no matter how big the IT team.

The cadence of technology deployments and updates also makes uptime assurances more challenging. The very changes to the production environment that provide bigger and better technologies can also spark the service interruptions that lead to outages.

In short, the IT Operations teams charged with maintaining our modern IT ecosystems need help. And that's where AIOps comes in.

AIOps helps IT Operations teams simplify the management of ever complex and evolving IT systems. Through big data, automation and machine learning, a holistic AIOps solution detects potential service-disrupting incidents, identifies the problem and provides teams with the actionable insights they need to fix the problem — and keep it from happening again. If implemented correctly, these tools also automate the entire incident workflow to enable rapid responses that can catch issues early, before they impact the business.

Preventing outages is essential, but AIOps tools provide another advantage. With time added back into their days, engineering teams can focus on developing the kind of innovations that deliver tangible business value.

Go to: Safeguard Healthcare Innovations with AIOps - Part 2

Sean McDermott is the Founder of Windward Consulting Group and RedMonocle

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Safeguard Healthcare Innovations with AIOps - Part 1

Sean McDermott
Windward Consulting Group

You've likely heard it before: every business is a digital business. That saying is increasingly true; however, some businesses and sectors digitize more quickly than others. Healthcare has traditionally been on the slower side of digital transformation and technology adoption, but that's changing.

A vast majority (81%) of worldwide healthcare executives say digital transformation is accelerating within their organizations, according to Accenture's Digital Health Technology Vision report. And 93% say they're innovating with urgency.

Even as a regular consumer, healthcare's digital transformation isn't hard to see. Readily available telehealth platforms connect patients and providers for more convenient and accessible healthcare services. And some caregivers use innovations like wearable devices to track patient health from afar.

Technology is also working behind the scenes to modernize healthcare organizations. Smart technologies can help this data-heavy industry modernize its internal systems, providing fast, accurate information on things like the number of available beds, patient status and supply inventory. Artificial intelligence (AI) can also do the heavy lifting typically involved in mundane administrative processes like paying bills, maintaining patient databases and scheduling appointments.

Many digital-first healthcare organizations are finding a new challenge as they embrace technology: businesses must guarantee seamless digital experiences. In other words, they must keep their apps and services always on and performing well.

Too often, there is so much attention on buying or developing apps and services that sustaining these innovations is overlooked. But system downtime can be costly for any business and particularly harmful for those in the healthcare industry.

As healthcare organizations roll out innovations at increasing velocity, they must build a long-term strategy for how they will maintain the uptime of their critical apps and services. And there's only one tool that can ensure this continuous availability in our modern IT ecosystems. Artificial Intelligence for IT Operations (AIOps) can help IT Operations teams ensure the uptime of critical apps and services.

How AIOps Helps Healthcare Systems

There's a common misconception: someone flips the technology "on" switch, and apps and services stay online and operate at peak performance. Unfortunately, this isn't the case.

Human IT Operations teams must operationalize healthcare technologies and then maintain them to provide reliable systems for patients, providers and other employees. After all, the systems, applications and networks behind the technologies that make our lives easier tend to be complex.

Maintaining uptime in these complex environments rides on monitoring and catching service-disrupting incidents before they impact the user. But humans can no longer perform this monitoring and detection alone because there is simply too much data for humans to process. Our modern systems prove too layered, interdependent and ephemeral. On top of this complexity, modern systems also spit out so much data that it's virtually impossible for human operators to handle, no matter how big the IT team.

The cadence of technology deployments and updates also makes uptime assurances more challenging. The very changes to the production environment that provide bigger and better technologies can also spark the service interruptions that lead to outages.

In short, the IT Operations teams charged with maintaining our modern IT ecosystems need help. And that's where AIOps comes in.

AIOps helps IT Operations teams simplify the management of ever complex and evolving IT systems. Through big data, automation and machine learning, a holistic AIOps solution detects potential service-disrupting incidents, identifies the problem and provides teams with the actionable insights they need to fix the problem — and keep it from happening again. If implemented correctly, these tools also automate the entire incident workflow to enable rapid responses that can catch issues early, before they impact the business.

Preventing outages is essential, but AIOps tools provide another advantage. With time added back into their days, engineering teams can focus on developing the kind of innovations that deliver tangible business value.

Go to: Safeguard Healthcare Innovations with AIOps - Part 2

Sean McDermott is the Founder of Windward Consulting Group and RedMonocle

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...