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Safeguard Healthcare Innovations with AIOps - Part 2

Sean McDermott
Windward Consulting Group

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.

Start with: Safeguard Healthcare Innovations with AIOps - Part 1

Case Study: Healthcare Modernization with AIOps

Recently, a regional healthcare organization employing 24,000 people and serving 7 million patients across 350 locations wanted to retire its legacy monitoring tools and adopt AIOps. The organization asked my company Windward Consulting to implement an AIOps strategy that would help streamline its outdated and unwieldy IT system management.

Our team's AIOps implementation process helped this client and can help others in the industry too. Here's what my team did:

1. Articulate the vision.

AIOps use cases are wide-ranging, and the technology's benefits can affect an entire healthcare organization. Cross-departmental stakeholders should collaborate with the IT function (or a third-party consultant) to detail a holistic vision for the technology.

2. Connect the vision to a strategy

Too often, IT teams get inspired by tools and purchase a solution before building a strategy. To maximize the potential of AIOps, project stakeholders should examine their vision and build a comprehensive strategy around how they will realize that vision.

3. Select the tools

Once project stakeholders define the vision and strategy, they can start making tactical technology decisions. The group can examine the organization's existing tool stack, determining if these solutions meet project needs or if new technology is required.

4. Execute the strategy

With the foundational elements in place, AIOps project stakeholders from across the organization can execute the strategy's measurable steps. Of course, the steps will be different for every person involved. Executives have largely strategic deliverables like making technology investments, determining priorities and recruiting talent. IT teams, on the other hand, may take incremental steps toward deploying the AIOps tool or work in conjunction with an AIOps consultant.

5. Reinforce AIOps adoption

Organizations sometimes prematurely declare AIOps victory, neglecting the change management and hands-on training necessary to realize optimal results. Stakeholders should develop a comprehensive training plan for end-users at all skill levels, while executives should work on a change management strategy that encourages long-term technology adoption.

6. Continue engagement and adoption efforts

Project stakeholders should continuously check in with users to uncover pain points, find skills gaps worthy of additional training and measure progress. And broadcasting the measurable outcomes and lessons learned can continue enthusiasm around the capability for artificial intelligence (AI)- and machine learning (ML)-enabled innovations. Consistently communicating with the organization's workforce can shore up support for technology expansion and further investment.

These 6 steps to AIOps implementation helped our healthcare client streamline the monitoring of its complicated IT system, enabling more uptime. And replacing disparate legacy tools with one holistic AIOps strategy helped the client save money and allowed its workforce to focus its efforts on innovation.

Technological innovations have the power to transform healthcare and improve patient outcomes; however, these innovations require constant monitoring to ensure continuous availability and peak performance. And humans can't do it alone. Healthcare organizations that want to delight users with innovative technology must provide IT teams with the AIOps tools needed to keep these innovations running smoothly.

Sean McDermott is the Founder of Windward Consulting Group and RedMonocle

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Safeguard Healthcare Innovations with AIOps - Part 2

Sean McDermott
Windward Consulting Group

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.

Start with: Safeguard Healthcare Innovations with AIOps - Part 1

Case Study: Healthcare Modernization with AIOps

Recently, a regional healthcare organization employing 24,000 people and serving 7 million patients across 350 locations wanted to retire its legacy monitoring tools and adopt AIOps. The organization asked my company Windward Consulting to implement an AIOps strategy that would help streamline its outdated and unwieldy IT system management.

Our team's AIOps implementation process helped this client and can help others in the industry too. Here's what my team did:

1. Articulate the vision.

AIOps use cases are wide-ranging, and the technology's benefits can affect an entire healthcare organization. Cross-departmental stakeholders should collaborate with the IT function (or a third-party consultant) to detail a holistic vision for the technology.

2. Connect the vision to a strategy

Too often, IT teams get inspired by tools and purchase a solution before building a strategy. To maximize the potential of AIOps, project stakeholders should examine their vision and build a comprehensive strategy around how they will realize that vision.

3. Select the tools

Once project stakeholders define the vision and strategy, they can start making tactical technology decisions. The group can examine the organization's existing tool stack, determining if these solutions meet project needs or if new technology is required.

4. Execute the strategy

With the foundational elements in place, AIOps project stakeholders from across the organization can execute the strategy's measurable steps. Of course, the steps will be different for every person involved. Executives have largely strategic deliverables like making technology investments, determining priorities and recruiting talent. IT teams, on the other hand, may take incremental steps toward deploying the AIOps tool or work in conjunction with an AIOps consultant.

5. Reinforce AIOps adoption

Organizations sometimes prematurely declare AIOps victory, neglecting the change management and hands-on training necessary to realize optimal results. Stakeholders should develop a comprehensive training plan for end-users at all skill levels, while executives should work on a change management strategy that encourages long-term technology adoption.

6. Continue engagement and adoption efforts

Project stakeholders should continuously check in with users to uncover pain points, find skills gaps worthy of additional training and measure progress. And broadcasting the measurable outcomes and lessons learned can continue enthusiasm around the capability for artificial intelligence (AI)- and machine learning (ML)-enabled innovations. Consistently communicating with the organization's workforce can shore up support for technology expansion and further investment.

These 6 steps to AIOps implementation helped our healthcare client streamline the monitoring of its complicated IT system, enabling more uptime. And replacing disparate legacy tools with one holistic AIOps strategy helped the client save money and allowed its workforce to focus its efforts on innovation.

Technological innovations have the power to transform healthcare and improve patient outcomes; however, these innovations require constant monitoring to ensure continuous availability and peak performance. And humans can't do it alone. Healthcare organizations that want to delight users with innovative technology must provide IT teams with the AIOps tools needed to keep these innovations running smoothly.

Sean McDermott is the Founder of Windward Consulting Group and RedMonocle

Hot Topics

The Latest

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 ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...