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Home Perspectives

Healthcare Consumerism

Daily Remedy by Daily Remedy
August 8, 2021
in Perspectives
0

Why we do what we do matters more than what we actually do.

The rationale underlying our choices matters more than the choices themselves.

When written so explicitly it appears obvious, yet implicitly throughout our lives we fail to make the optimal choices for our health.

We justify eating foods we know are not good for us.

We justify lifestyle choices we know are harmful long term.

The fault lies not in our decisions, but in the justification for our decisions – our failure to think through and rationalize why we do what we do.

A tendency that plays a greater role in our health outcomes than we realize – that is until of late –with the emergence of population health, we now attempt to improve patient outcomes in situations we previously fell short, by addressing these decisions directly.

But what is population health?

Effectively it is healthcare consumerism – influencing the critical decisions necessary to improve healthcare outcomes, beyond the conversations in the patient encounter, beyond the medication adherence – and into the existential array of subconscious rationale and reactions that coalesce into the healthcare decisions patients make.

There is only so much the healthcare system can do to convince an elderly Hispanic woman to control her blood sugar at her granddaughter’s Quinceañera – inevitably she will eat cake at the event, it is more cultural than medical.

People will make decisions, less as patients, and more as individuals within specific contexts – as a mother, as a daughter, as a friend, as a family member.

In this vein, most healthcare decisions are made not as patients, but as consumers, influenced by the current circumstances – in which the myriad of decisions made have little to do with healthcare as we traditionally understand it.

With so many healthcare systems venturing into population health management, we would expect to see a clear path of success – noticeable improvements in patient outcomes. Yet very few healthcare systems have demonstrated tangible improvements in patient outcomes through population health models of care.

This is because few systems focus on the consumerism aspect of patient decision-making – investing resources into addressing patient decision-making as consumers of healthcare.

Instead we have healthcare systems focusing on systems of alarms and reminders, glorified nudges, to prompt patients into making optimal healthcare decisions.

But like an alarm with the snooze button on repeat, patients have simply ignored these nudges, and continue to make decisions as they always have.

Until population health emphasizes the consumerism aspect of healthcare, and treats patients as consumers – acknowledging most healthcare decisions are made as consumers – population health will remain mostly bells and whistles.

Largely unwelcomed and stuck on snooze.

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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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Videos

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.

Chapters

00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
YouTube Video U1u-IYdpeEk
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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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