Part 1. A Preventable Decline: Missed Opportunities and Tragic Outcomes

A week before Christmas, we travelled almost an entire day to reach our destination in the heart of Morocco, only to receive devastating news upon arrival. My partner’s beloved brother-in-law had died unexpectedly.

Except—it wasn’t fully unexpected: for months, maybe even years, he knew something was wrong. Yet, doctors found nothing warranting aggressive treatment, and his symptoms kept being put down to stress and anxiety. The bias toward psychosomatic explanations cost him his life. He was a happy person, not someone prone to excessive worry. If anything, the lack of a real diagnosis—while his body was clearly in distress—created the anxiety, rather than the other way around.

This experience left me blindsided. My heart could not believe it was possible, even though my head whispered that it was somewhat probable. Earlier that summer, I had observed him and secretly worried. At 35, he carried some extra weight, particularly around his abdomen, his face was often flushed, he was a heavy smoker and drank most weekends. These were warning signs of potential underlying health risks. I didn’t say anything, assuming doctors would catch anything severe.

He died of a massive heart attack (myocardial infarction) due to coronary artery disease (90% blockage; as well as left ventricular hypertrophy, and possibly an underlying genetic cardiomyopathy). He was walking around with a ticking time bomb in his heart—completely undiagnosed. The autopsy also revealed a previously undetected pancreatic tumor (6x5x5 cm, calcified and necrotic), which had been present all along but remained unnoticed until it was too late.

Hugo’s story exemplifies what happens in the absence of preventive, risk-based healthcare—his accumulating risks went unnoticed until catastrophe struck. His case highlights the consequences of neglecting long-term warning signs, failing to recognize patterns, and dismissing proactive intervention. Both patient self-advocacy and the healthcare system fell short in detecting silent but deadly conditions. A structured, risk-based approach might have led to a different outcome—if not complete prevention, at least a meaningful extension of his life.

In the next chapter, I’ll examine how this failure isn’t unique to Hugo, but part of a larger systemic pattern—one that too often waits for a crisis instead of actively seeking and managing risk.

Part 2. Systemic Failure in Action: How It Unfolded

Hugo’s story might sound extraordinary, but it reflects a broader pattern in healthcare. His warning signs weren’t ignored so much as handled one at a time: each test answered its own question, some tests were ordered and never happened, and the explanation that stuck was stress. Nobody held the whole thread. Below is his timeline, taken from his medical file and the autopsy report.

  1. 2017, age 29: The first warning signs, and the first “stress?”
    • Signs: Suspected high blood pressure. An ultrasound for a suspected fatty liver finds an enlarged fatty liver, possibly with early scarring, and a slightly enlarged spleen.
    • What Was Done: A 24-hour blood-pressure test, only partly completed, shows high readings during the day. The report wonders about stress at work.
    • Missed Opportunity: A fatty liver and high blood pressure at 29 are early marks of metabolic and cardiovascular risk. The two findings sat in separate reports.
  2. 2020, age 31: A full heart check, and a follow-up that left no trace
    • Signs: 170/90 at a flu visit. 96 kg (BMI 29), a pack of cigarettes a day, a grandfather who had a heart attack at 55, and breathlessness on moderate exertion.
    • What Was Done: His GP gave him a home blood-pressure monitor, ordered blood tests and sent him to a cardiologist. The cardiologist measured 160/100 and did an ECG and a heart ultrasound: normal, with no thickening of the heart wall. A 24-hour test showed mild high blood pressure (average 137/80). The cardiologist’s note asks whether it’s a “white-coat effect” in an “anxious patient.”
    • Recommended Next: A low-salt diet, a workup for the cause of the high blood pressure including a sleep-apnea test, and a stress test.
    • Missed Opportunity: None of the three has a result in his file, and no treatment started. The stress test was the only exam in his history aimed at his coronary arteries.
  3. 2021–2022: High readings at home, and no change
    • Signs: In December 2021 his home readings average about 140/88 with no treatment, above the 135/85 that counts as high at home. In April 2022 a fever visit records 166/98.
    • Missed Opportunity: Home readings are what doctors use to confirm high blood pressure, and these confirmed it. The file shows no action on them, and his blood pressure isn’t discussed again until 2024.
  4. 2024, age 35: Eleven doctor visits, and the label is still stress
    • Signs: Fatigue, headaches, dizziness, a stiff neck, spots in his vision, a general sense of being unwell. Blood pressure up to 180/100 at the doctor’s, about 125/80 at home. Liver enzymes above the normal range, rising again by December. Protein in his urine. Low platelets.
    • The Pattern Nobody Named: High triglycerides (186–199 mg/dL), low HDL (30–32 mg/dL), fasting glucose of 100–102 mg/dL and high blood pressure: four of the five criteria for metabolic syndrome. His LDL (123 mg/dL) and HbA1c (5.2%) looked fine.
    • What Was Done: Two blood-pressure drugs were tried, an anti-anxiety medication was prescribed, and he booked a psychologist. In the summer a cardiologist concluded white-coat hypertension and started no treatment. In April a GP felt a hard lump in his upper abdomen; it wasn’t scanned. An abdominal ultrasound was ordered in November for his liver tests and blood pressure. By the end of the month he hadn’t had it, and an in-person check-up booked for early December didn’t happen.
    • Missed Opportunity: Read one at a time, each number had an explanation. Read together, they described a man at high cardiovascular risk, and the explanation in his file was still stress.
  5. 13 December 2024, age 36: The collapse
    • What Happened: On his way out of a training course, he collapsed in a hallway, struggling to breathe. Resuscitation didn’t bring him back.
    • Autopsy Findings: Two 90% blockages in the main artery on the front of the heart. An enlarged heart with walls more than twice the normal thickness, four years after a normal heart ultrasound. Calcified plaque in his aorta, at 36. And a 6 × 5 × 5 cm calcified, necrotic tumor in the tail of the pancreas, a part no scan had ever looked at. The cause: sudden cardiac death, most likely from a heart attack, possibly from an inherited heart-muscle disease.
    • Could It Have Been Prevented?: Nobody can know. But the stress test in 2020, the workup for his blood pressure, and a scan of that lump were each a chance to look.

This is what a system that waits for “obvious symptoms” looks like from the inside. Hugo saw doctors often, and many of the right tests were ordered. What was missing was someone holding the whole thread: noticing that the stress test never happened, that his home readings were high, that his labs added up to a pattern, that a lump had been felt and never scanned. Read as one record, his file was a warning years before the end. A few timely steps, a stress test, a scan, a treated blood pressure, might have extended Hugo’s life.

Part 3. The Mindset of Risk-Based Health Ownership

Hugo’s case illustrates the grave consequences of ignoring early warning signs and relying solely on standard protocols without critical evaluation. His story taught me that a proactive, curious mindset—one that values self-advocacy and continuous inquiry—can make a difference in preventing tragic outcomes. I began to view health through the analytical lens of an actuary: critically examining trends, following up on anomalies, and investigating discrepancies. This approach helps make informed, data-driven decisions by assessing probabilities, expected values and potential outcomes, thus turning uncertainty into preventive measures. This isn’t about having all the answers or claiming to know better—it’s about embracing curiosity and careful observation.

Technical Building Blocks and Concepts

Health as an Uncertain System: Rather than a binary “healthy” vs. “sick” state, consider your well-being as a continuum where small, seemingly insignificant fluctuations can, over time, compound into significant risks.

Risk Awareness: Health outcomes are never certainties. While a single abnormal reading might not signal an imminent crisis, repeated minor deviations can indicate a rising likelihood of adverse events.

The Precautionary Principle & Black Swan Events: Some health events, though rare, have catastrophic consequences. Even a low probability of such “black swan” events (like sudden cardiac arrest or unexpected cancers) justifies taking precautionary measures. When the stakes are high, even a slight risk should prompt proactive intervention.

Trend Analysis vs. Snapshot Data: A single measurement can be misleading; understanding the trend over time often reveals underlying issues.

Scenario Modeling & “If-Then” Reasoning: Thinking in “if-then” scenarios helps forecast potential outcomes based on current trends and turns abstract risks into concrete plans for preventive action.

Expected Value & Cost-Benefit Analysis: Weighing the potential costs of inaction against the effort required for early intervention highlights when preventive measures are truly justified.

Real-World Risk vs. Theoretical Risk: General statistics and averages may not reflect your personal health profile. Distinguishing between theoretical risk and your own individualized risk helps tailor preventive actions to your unique situation, ensuring that you focus on what truly matters for your well-being.

Core Values for Proactive Health Management

At the core of a proactive health mindset is ownership—recognizing that you are the primary stakeholder in your well-being. While doctors provide invaluable advice, the ultimate responsibility for monitoring and managing your health lies with you. This involves not only tracking your data but also engaging in thoughtful, informed inquiry.

Key qualities that support this approach include:

Balancing intuition with data is key. Trust your gut when it hints that something is off, but always verify with objective, reliable evidence before drawing conclusions. This balanced inquiry doesn’t require becoming a scientific expert overnight; it’s about cultivating a basic level of risk literacy. Even small steps—like regularly reviewing your trends or asking for a second opinion—can transform uncertainty into actionable insights.

At the same time, practicing self-compassion is essential. Our bodies are both brilliant and resilient, yet inherently fragile. Valuing your health means appreciating the gift of life and treating your well-being as the most precious asset. This balanced mindset—combining ownership, critical inquiry, and compassion—empowers you to navigate uncertainty and take proactive measures that protect and enhance your life.

Next, we’ll explore a practical guide on how to implement these principles into your daily health routine—turning this mindset into concrete actions that protect and empower your life.

Part 4. Taking Control: A Practical Guide to Risk-Based Health Ownership

(Note: This chapter is for general educational purposes and does not replace professional medical advice.)

The following steps are designed to translate the risk-based mindset into a practical roadmap for identifying and addressing problems before they escalate. Each individual’s approach will vary depending on personal risk profiles, resources, and comfort levels, but the goal remains the same: catching subtle trends before they explode into crises. Whether it’s arranging regular lab checks, logging daily symptoms, or insisting on an imaging study when red flags persist, every proactive measure underscores ownership of your health.

1. Map Your Health Profile: Identify Your Risk Factors

An overview of family history, personal health conditions, and lifestyle patterns lays the groundwork for the proactive health management. Think of it as creating a personal roadmap to get a sense of where you might face the greatest challenges and how you can address them early. Centralize your records in a digital health folder for easy reference.

Identifying your approximate risk category offers a starting point. Those in the “High Risk” group, for example, might decide to move faster on advanced screenings or specialist consultations. Meanwhile, those with “Minimal Risk” can still benefit from routine monitoring and simple preventive steps—health status isn’t permanent, and small changes over time can tip the scales in either direction.

2. Monitor Regularly and Identify Escalation Triggers

Regular checkups and data collection form the backbone of proactive health management. Standard lab tests, functional assessments, and wearable devices each provide unique insights into your overall condition. Monitoring your body in real time and over months helps catch subtle warning signs, letting you intervene early.

Standard Tests (Every 6–12 Months)

Functional and Expanded Assessments (As Needed)

Wearables and Day-to-Day Tracking (Ongoing)

Symptom Diary (Weekly/Monthly)

Risk Calculators

Pay special attention if

If something remains unexplained or consistently abnormal, it’s worth escalating to advanced diagnostics rather than waiting for an outright crisis. Self-monitoring does not replace medical expertise—rather, it augments it. Bring your data, diaries, and findings to your doctors, forming a two-way dialogue.

3. Escalate to Advanced Diagnostics and Specialist Collaboration

When basic monitoring and tests don’t provide clear answers—or if your lab results and symptoms keep hinting at deeper concerns—proactive escalation can make all the difference. Think of it like a mini scientific investigation: observe data, form a hypothesis, verify with additional testing, and adapt your plan if the problem persists or grows more concerning. This step guides you in determining when and how to pursue advanced diagnostics, seek second opinions, and coordinate with multiple specialists to pinpoint (and address) underlying issues. Sample escalation flow:

  1. Observation: Identify a Concerning Trend
    • Spot a symptom, lab anomaly, or wearable-data spike that’s creeping upward over several months and doesn’t resolve with basic steps (e.g., adjusting diet, rest, or mild medication).
    • Double-check with a repeat test or short-term wearable data to rule out temporary factors like stress, infections, or measurement errors.
  2. Hypothesis: Move Beyond Basic Tests
    • If the trend persists or worsens, request advanced diagnostics (e.g., imaging studies like ultrasounds, MRIs, CT scans; additional lab panels such as coronary calcium scoring for heart concerns).
    • If your primary physician seems dismissive and you still feel uneasy, consider a second opinion—somebody else may see an angle that was missed.
  3. Test: Targeted, Risk-Based Diagnostics
    • Heart Health: Coronary calcium scoring, stress echocardiogram, or CT angiography for those with repeated borderline cholesterol or a strong family history of early heart disease.
    • Metabolic & Endocrine: Detailed thyroid profiles, insulin-resistance testing, or adrenal/hormone panels if persistent fatigue, weight changes, or borderline glucose remain unexplained.
    • Cancer Screening: Tumor markers or specialized imaging (mammography, colonoscopy, full-body MRI, etc.) if family history or genetic testing indicates a heightened risk.
    • Neurological: If ongoing headaches, dizziness, or cognitive changes don’t improve, consider a brain MRI or neurology referral to rule out hidden conditions.
  4. Reevaluate: Collaborate with Specialists
    • Encourage your primary doctor to involve cardiologists, endocrinologists, genetic counselors, neurologists, or other relevant experts for comprehensive evaluation.
    • Keep track of your consultations and test results in a digital health folder so that each specialist sees the full picture of your situation.
    • After advanced tests or specialist visits, request a clear follow-up plan. Ask questions like:
      • “What are we looking for with these new tests?”
      • “When should we repeat them if results are borderline?”
      • “Are there lifestyle changes I can implement while awaiting results?”
    • Make sure each specialist communicates with your primary doctor—or with you—so you don’t end up with fragmented opinions and no unified diagnosis.

By following this observation-hypothesis-test-reevaluation escalation pathway, you ensure that minor or ambiguous signals don’t quietly evolve into major health crises. When something doesn’t add up, seeking deeper investigation could be the most crucial decision you make for your long-term well-being.

Part 5. Rethinking Medicine: From Symptom Management to Risk Prevention

We’ve explored how individuals can proactively manage their health, but prevention also depends on a healthcare system that values early intervention over emergency fixes. The following ideas outline how policies and practices can align with the same risk-based, proactive mindset that empowers patients.

Shift Toward Risk-Based Care and Incentivize Prevention

Barriers to Change: Why Medicine Remains Reactive

The previous section outlined how healthcare could shift toward risk-based prevention. However, despite the clear benefits of risk-based medicine, the system remains entrenched in outdated, reactive models. Several factors contribute to this inertia:

Integrate Longitudinal Health Data and Wearables

One of the key barriers to proactive healthcare is fragmented patient data. Hugo’s case highlights how cumulative warning signs—high blood pressure, a fatty liver, high triglycerides and low HDL, persistent fatigue—were treated in isolation rather than as part of a larger deteriorating trend. Without integrated tracking, subtle but compounding abnormalities went unnoticed. A system that consolidates biometric data, lab results, and clinical observations could have flagged these risks earlier, allowing for timely intervention before reaching a crisis point.

Expand the Doctor’s Role: From Problem-Solver to Risk Analyst

Adopt Accountability and Outcome Tracking

Regulatory Oversight & Accountability

Systemic change requires not just new protocols but also enforcement mechanisms to ensure risk-based medicine is adopted:

Who Pays for the Blind Spots?

Doctors, hospitals, and insurers do not bear the cost of missed risks—patients do. When a doctor dismisses an early warning sign, the patient lives with the consequences. When insurance denies a preventive screening, the patient absorbs the burden of late-stage disease. Medicine should be anti-fragile——able to learn from small stresses and adapt before failure. Preventive care should not be a privilege or require proof of disease. Risk alone should justify action.

Ultimately, rethinking medicine means designing a system that anticipates and adapts to risk. It means moving away from a model that reacts only after a crisis and toward one that continuously learns and adjusts. By embracing this perspective, we can reduce preventable deaths and create a healthcare environment where early signals are met with meaningful action, rather than being dismissed as mere noise.

In doing so, we forge a path toward a more resilient healthcare system—one that respects the complexity of the human body and recognizes that the absence of immediate danger does not equate to long-term safety.

Hugo’s loss demonstrated the painful consequences of a healthcare system that waits for dramatic symptoms before taking aggressive action. But his story also made me see a mindset of preventive vigilance, where each subtle shift in health is evaluated not with complacency, but with curiosity and care. By blending patient-led risk monitoring with a medical infrastructure that incentivizes early intervention, we can catch ticking time bombs like Hugo’s in time to defuse them. In this vision, no one has to hear the words “I wish we’d caught it sooner” after it’s too late. Instead, we create a health culture that values consistent data, collaborative inquiry, and empathy—protecting lives long before they reach the brink.

What I built next

Since writing this, I built the tool I wish my family had had. Helse keeps every result in one place, reads each one in context — your sex, your age when the blood was drawn, your life stage — and watches it over time, so a slow drift gets noticed while there’s still time to do something about it.

It’s live, and it’s free to try.

Try Helse →

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