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Origins of the Drug Resistant Pandemic

Daily Remedy by Daily Remedy
June 5, 2022
in Trends
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Origins of the Drug Resistant Pandemic

Such a simple decision, prescribe antibiotics to a patient who presents with a nonspecific set of upper respiratory symptoms. It may be a bacterial infection, or it could be viral, or even allergic. But the patient is insisting that it is like other bacterial infections and well, better safe than sorry.

This describes many of the situations where antibiotics are prescribed unnecessarily, seemingly more to assuage the concerns of a patient than to address any true bacterial infection. Some say this behavior is a clinical artifact of an era long gone, that in the modern era of evidenced based medicine, physicians would know better. The pandemic suggests otherwise.

In a recent study in the Journal of American Medical Association (JAMA), antibiotics were prescribed heavily during the pandemic, despite scores of patients presenting with what was clearly a viral infection. According to the study, the percent of antibiotics prescribed to patients with a primary diagnosis of COVID-19 in the first year of the pandemic differed by setting: In the emergency department, 45.8 percent of all visits; outpatient office, 25.3 percent; telehealth, 22.3 percent; and urgent care, 6.6 percent.

The reasons for this are many, including the reimbursements from COVID testing and the acuity of symptomatic presentations in different clinical settings. But the overall effect is the same; antibiotics were prescribed in abundance, well over the clinically rational amount.

This is the critical point; there is nothing rational in overprescribing antibiotics, as simple a decision as it may appear in the moment. In fact, irrational prescribing practices practically defined how many physicians prescribed medications early in the pandemic. In the first months, physicians were stockpiling hydroxychloroquine, under the pretense of just about any medical diagnosis.

Which answers the question of why antibiotic prescribing errors are so prevalent: It is unfortunately perceived to be a simple decision. And because it is seen as simple, little thought goes into it. Most physicians decide reflexively, and decisions made in this way rely on heuristics, or established thought patterns.

We know to wake up and shower every morning because it is an ingrained pattern. We do not actively think about showering because our minds naturally understand showering is part of a morning routine. Similarly, physicians prescribe antibiotics because it is a natural reflex. When they encounter symptoms that may present as an upper respiratory infection, they assume it might be bacterial, viral, or allergic.

Inherent in that assumption is the decision to prescribe antibiotics. Physicians perceive the risk of prescribing unnecessary antibiotics for a viral or allergic condition to be less than the risk of not prescribing antibiotics for a bacterial infection. As a result, they default to prescribing antibiotics.

It makes sense, and in some ways is the rational decision. But when that logic gets overused, it leads to irrational prescribing practices and – yes – a drug resistant pandemic.

Infections caused by drug resistant bacteria are among the leading causes of death for people of all ages. In 2019, 4.95 million people died from illnesses in which drug resistant bacteria played a part. Of those, 1.27 million deaths directly resulted from such bacterial infections, which means drug resistant infections killed more people that year than HIV/AIDS (864,000 deaths) or malaria (643,000 deaths).

How did we get to this point? In many ways, the same root causes that have instigated and exacerbated other health problems also appear here – an over-reliance on heuristics at an individual and broad policy level.

In 1967, former Surgeon General Dr. William Stewart declared the first of many figurative wars in healthcare when he ignited a war against infectious diseases. He launched a campaign to eradicate all infectious diseases through the aggressive use of antibiotics.

Flash forward roughly a half-century later and we see the lingering effects of this war: 700,000 deaths annually due to antibiotic resistant infections world wide; 298 million antibiotics prescribed from 2004 to 2013 without a patient encounter; and drug development for novel antibiotics basically nonexistent.

Did we win the war? This is an innately nonsensical question because healthcare is not a war to win, but a balance to attain.

We see such balances throughout healthcare, found in nearly all diseases. We believe sickle cell disease arose as a response to malaria exposure, offering those with the specific sickle-cell blood type protection against the disease at the cost of suffering from the blood disorder. A lesser-known relationship is believed to exist between inflammatory bowel diseases and parasite exposure, particularly the parasite, Trichinella. And when many diseases and the corresponding immunological responses are examined closely, we often find an innate balance governing the interaction.

Needless to say, the decision to prescribe antibiotics reflexively disrupts this balance. It begins when we fail to examine the full nature of risk in healthcare and default to predetermined decisions. And it worsens when we enact policy to reinforce that heuristic.

In this way, most problems in healthcare are of our own making. We are predisposed to default thinking in medicine, and accordingly, we cannot see the risks in such thinking because we simplify many of our decisions.

So we prescribe antibiotics because we think it is the logical decision – until what appears logical proves to be quite the opposite.

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Daily Remedy

Dr. Jay K Joshi serves as the editor-in-chief of Daily Remedy. He is a serial entrepreneur and sought after thought-leader for matters related to healthcare innovation and medical jurisprudence. He has published articles on a variety of healthcare topics in both peer-reviewed journals and trade publications. His legal writings include amicus curiae briefs prepared for prominent federal healthcare cases.

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In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

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00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
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AI Regulation and Deployment Is Now a Core Healthcare Issue

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Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
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Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

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