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Healthcare Case Study

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Mahaska Health CIO Bob Berbeco is navigating the intersection of AI innovation, regulatory compliance, and evolving cyber threats to build a resilient, people-first technology environment that protects patient data and strengthens the trust that healthcare depends on.

Project Overview

Mahaska Health is a critical access hospital based in the Midwest, with approximately 720 employees and over 90 physicians. As CIO, Bob Berbeco leads all organizational technology — including servers, desktops, data science, AI initiatives, cybersecurity, and informatics — with the overarching goal of enhancing patient care and operational efficiency. With decades of experience across healthcare technology, predictive analytics, process optimization, and operational leadership, Bob brings a deeply disciplined, process-driven approach to some of healthcare's most complex and fast-moving challenges. Mahaska works with an external managed Security Operations Center, including a continuous monitoring SOC partner, to extend its internal security capabilities around the clock.

Business Challenges and Solutions

Healthcare organizations like Mahaska Health operate at the crossroads of several compounding pressures. Patient data is among the most sensitive and valuable information a bad actor can target, yet the diversity of systems — from clinical applications and billing platforms to IoT-connected medical devices — creates an expansive and difficult-to-manage attack surface. Ransomware and phishing attacks are a daily reality, and the consequences of a breach extend far beyond financial loss to include reputational damage, care disruption, and regulatory exposure under frameworks like HIPAA and NIST.
Bob's approach to these challenges is built around three pillars. The first is process discipline — maintaining a living risk matrix that documents every known vulnerability, assigns priority levels, decomposes risks into actionable items, and tracks mitigation through regular checkpoints. The second is a layered external security model that includes penetration testing, security scorecards, and a 24/7 third-party SOC that continuously monitors the environment for active exposures. The third, and what Bob considers equally critical, is education. Phishing remains the dominant attack vector, and with a workforce ranging from clinical staff to administrative teams, Mahaska runs monthly online security training with follow-up testing and leadership accountability to keep every employee alert. Bob has made himself personally accessible to staff, sharing his cell phone number across the organization so that no question goes unanswered and no suspicious email goes unreported.
On the AI front, Bob advocates for "purpose-built AI" — deploying artificial intelligence only where there is a clearly defined organizational problem to solve, with proper governance, guardrails, and measurable KPIs. Current efforts focus on revenue cycle management, where AI is being embedded into denial management processes to augment billing staff knowledge and improve both efficiency and outcomes. Looking ahead, Bob sees an AI-driven "cold war" in cybersecurity, where attackers and defenders are increasingly deploying AI against each other, making proactive education and adaptive tooling more important than ever.
For IoT and medical devices — a particularly complex challenge in healthcare — Bob emphasizes supply chain visibility, ensuring that IT has a seat at the table when clinical devices are procured and that all connected devices are captured in the organizational risk matrix.

Frequently asked questions

Bob describes it as a pendulum that must stay centered. Too much security without flexibility creates friction that drives workarounds and stalls innovation; too little creates unacceptable risk. The balance is maintained through a collaborative relationship between IT and compliance officers, a documented risk matrix, and a process-first culture that ensures every technology decision has clear governance, measurable checkpoints, and defined accountability before it goes live.
The external SOC provides continuous 24/7 monitoring that Mahaska's internal team — however skilled — simply cannot maintain alone. Managing alert fatigue is an ongoing partnership: Bob's team communicates regularly with their SOC partner to filter low-priority informational alerts, while AI-assisted automation handles routine responses and escalates critical issues for human review. The goal is a seamless operation where the right alerts reach the right people without overwhelming them.
Bob uses a disciplined "what, so what, now what" framework — explaining what the issue is, what the consequences of inaction are, and what the recommended next steps look like. He deliberately avoids technical language, presenting the board with a clear cost-benefit analysis and risk context that empowers informed decision-making rather than relying on fear. His advice: frame cybersecurity not as an IT problem but as an organizational risk that the board already understands how to evaluate.
Unlike traditional IT assets, medical devices often enter healthcare organizations through clinical engineering or procurement channels that bypass IT entirely, meaning they may be connected to the network without any security review. Compounding this, the device manufacturers themselves can be breached, creating downstream risk for every hospital using their equipment. Bob's approach centers on supply chain reform — ensuring IT has visibility into every device entering the environment — and integrating all connected devices into the organizational risk matrix so that exposure is known, monitored, and actively managed.