TARIFFS: Hurt Medicine and Healthcare

By Dr. David Edward Marcinko MBA MEd

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Tariffs on medicines and healthcare products increase costs, disrupt supply chains, and ultimately harm patient access and public health. They raise prices for essential drugs and medical devices, create shortages, and undermine innovation in the healthcare sector.

The Economic Burden of Tariffs

Tariffs are taxes imposed on imported goods. In healthcare, this means pharmaceuticals, medical devices, and raw materials like active pharmaceutical ingredients (APIs) become more expensive. Since the United States imports a significant share of these products from countries such as China, India, and the European Union, tariffs directly raise costs for hospitals, clinics, and patients.

  • Drug prices rise because manufacturers pass on higher import costs to consumers.
  • Medical devices such as surgical instruments, diagnostic equipment, and imaging technology become more expensive, straining hospital budgets.
  • Insurance premiums may increase as healthcare providers face higher operating costs.

This economic burden is not abstract—it translates into higher bills for patients and reduced affordability of care.

Supply Chain Disruptions

Healthcare supply chains are highly globalized. APIs, raw materials, and specialized equipment often come from multiple countries. Tariffs disrupt this delicate balance by:

  • Creating shortages when suppliers cannot afford to export to tariff-heavy markets.
  • Delaying shipments as companies seek alternative routes or suppliers.
  • Reducing resilience by concentrating production in fewer regions, making systems more vulnerable to shocks.

For example, if tariffs make APIs prohibitively expensive, pharmaceutical companies must scramble to find new suppliers, often at higher cost and with longer lead times. This can delay drug availability and compromise patient care.

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Impact on Public Health

The consequences of tariffs extend beyond economics into public health outcomes.

  • Patients face reduced access to life-saving medicines and devices.
  • Hospitals may ration supplies, prioritizing urgent cases while delaying elective procedures.
  • Preventive care suffers, as higher costs discourage investment in vaccines, diagnostic tools, and routine screenings.

In the long run, tariffs can exacerbate health inequities, disproportionately affecting low-income populations who are least able to absorb rising costs.

Innovation and Research Setbacks

Healthcare innovation relies on global collaboration. Tariffs discourage cross-border partnerships by raising costs and creating uncertainty.

  • Research institutions may struggle to import specialized lab equipment.
  • Pharmaceutical companies face higher costs for clinical trials and drug development.
  • Digital health technologies that depend on imported components (like sensors and chips) become more expensive, slowing adoption.

This stifles progress in areas such as cancer treatment, biotechnology, and precision medicine.

Conclusion

Tariffs in healthcare are a blunt economic tool with unintended consequences. While they aim to protect domestic industries, they increase costs, disrupt supply chains, reduce access to care, and hinder innovation. In medicine and healthcare, where lives depend on timely and affordable access to products, tariffs are particularly damaging. Policymakers must weigh these human costs carefully before imposing trade barriers on essential goods.

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SINGULARITY: In Finance and Investing

By Dr. David Edward Marcinko MBA MEd

SPONSOR: http://www.MarcinkoAssociates.com

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The singularity promises to revolutionize medicine by accelerating diagnostics, treatment, and longevity—but it also demands ethical vigilance and systemic transformation.

The concept of the technological singularity refers to a hypothetical future moment when artificial intelligence (AI) surpasses human intelligence, triggering exponential advances in technology. In medicine, this could mark a turning point where AI-driven systems outperform human clinicians in diagnosis, treatment planning, and even biomedical research. While the singularity remains speculative, its implications for healthcare are profound and multifaceted.

One of the most promising impacts is in diagnostics and precision medicine. AI systems trained on vast datasets of medical images, genetic profiles, and patient histories could detect diseases earlier and more accurately than human doctors. For example, algorithms already outperform radiologists in identifying certain cancers from imaging scans. As we approach the singularity, these systems may evolve into autonomous diagnostic agents capable of real-time analysis and personalized recommendations, tailored to each patient’s unique biology.

Another transformative area is drug discovery and development. Traditional pharmaceutical research is slow and costly, often taking over a decade to bring a new drug to market. AI could dramatically shorten this timeline by simulating molecular interactions, predicting therapeutic targets, and optimizing clinical trial designs. With superintelligent systems, the pace of innovation could accelerate to the point where treatments for currently incurable diseases—like Alzheimer’s or certain cancers—become feasible within months.

The singularity also opens doors to radical longevity and human enhancement. Advances in nanotechnology, genomics, and regenerative medicine may converge to extend human lifespan significantly. AI could help decode the aging process, identify biomarkers of cellular decline, and engineer interventions that slow or reverse it. Some theorists even envision a future where aging is treated as a curable condition, and mortality becomes a choice rather than a biological inevitability.

However, these breakthroughs come with serious ethical and societal challenges. Data privacy, algorithmic bias, and access inequality are critical concerns. If singularity-level AI is controlled by a few corporations or governments, it could exacerbate global health disparities. Moreover, the replacement of human clinicians with machines raises questions about empathy, trust, and accountability in care. Who is responsible when an AI makes a life-altering mistake?

To navigate this future responsibly, medicine must embrace interdisciplinary collaboration. Ethicists, technologists, clinicians, and policymakers must work together to ensure that AI systems are transparent, equitable, and aligned with human values. Regulatory frameworks must evolve to keep pace with innovation, and medical education must prepare practitioners to work alongside intelligent machines.

In conclusion, the singularity represents both a promise and a peril for medicine. It offers unprecedented opportunities to enhance human health, but also demands careful stewardship to avoid unintended consequences.

As we edge closer to this horizon, the challenge will be not just technological, but deeply human: to harness intelligence beyond our own in service of healing, compassion, and justice.

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EDUCATION: Books

SPEAKING: Dr. Marcinko will be speaking and lecturing, signing and opining, teaching and preaching, storming and performing at many locations throughout the USA this year! His tour of witty and serious pontifications may be scheduled on a planned or ad-hoc basis; for public or private meetings and gatherings; formally, informally, or over lunch or dinner. All medical societies, financial advisory firms or Broker-Dealers are encouraged to submit a RFP for speaking engagements: MarcinkoAdvisors@outlook.com

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The Economic Value and Pricing of “Personalized and Precision” Medicine

PRECISION MEDICINE

By Tomas J. Philipson

DEFINITION: Personalized medicine, also referred to as precision medicine, is a medical model that separates people into different groups—with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease

CITE: https://www.amazon.com/Dictionary-Health-Insurance-Managed-Care/dp/0826149944/ref=sr_1_4?ie=UTF8&s=books&qid=1275315485&sr=1-4

We discuss the economic value of personalized medicine and the optimal pricing of the combination products involved. We build on previous work of Egan and Philipson (2015) who stress a link between rational adherence in health care and the value of personalized medicine. Personalized medicine converts experience goods to search goods by speeding up the learning process relative to trial and error. This explains the emergence of personalized medicine in cancer care as well as the timing of this emergence. It also predicts greater innovation-and merger incentives from Disneyland style two-part pricing of the combination products.

Personalized Medicine - Personal Medicine - Medicine ...

READ: https://www.nber.org/system/files/chapters/c13997/c13997.pdf

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