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    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

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    July 1, 2025
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    April 4, 2025
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    AI in Healthcare Decision-Making

    AI in Healthcare Decision-Making

    February 1, 2026
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    Patient Survey: Understanding Healthcare Consumerism

    January 18, 2026

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    Can you tell when your provider does not trust you?

    Can you tell when your provider does not trust you?

    January 18, 2026
    Do you believe national polls on health issues are accurate

    National health polls: trust in healthcare system accuracy?

    May 8, 2024
    Which health policy issues matter the most to Republican voters in the primaries?

    Which health policy issues matter the most to Republican voters in the primaries?

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Home Perspectives

Ways Healthcare Practices Are Improving Patient Care

Patient care is invaluable, and more work is going into improving it every year. Here are some ways healthcare practices are improving patient care.

Casey Cartwright by Casey Cartwright
November 3, 2024
in Perspectives
0
An older adult man talking to a receptionist at a medical clinic while two other patients sit in chairs in the background.

As you may know, healthcare is a dynamic field that is constantly evolving. Many practices have done a lot to improve patient care in the last couple of decades, and things aren’t slowing down. Here are some ways healthcare practices are improving patient care to inform your ideas for change.

Telemedicine

Healthcare practices are now able to provide care to patients remotely through telemedicine, thanks to many technological advancements. This technology is especially beneficial for patients who may have difficulty traveling, live in remote areas with limited access to medical facilities, or have chronic conditions that require regular monitoring. With telemedicine, patients can receive timely and convenient care without having to leave the comfort of their homes. These offerings also greatly reduce various burdens on healthcare facilities due to anything from limited funding to reduced staff.

Simulation-Based Training

Simulation-based training is a great way to improve patient care as it allows doctors and nurses to practice different medical scenarios in a safe and controlled environment. Simulation-based training does a lot to hone healthcare professionals’ skills, whether managing a cardiac arrest, conducting a complex surgery, or navigating a rare medical condition.

Data Analytics

With the vast amount of data available in healthcare, practices are utilizing data analytics to identify trends and patterns that can improve patient care. By analyzing data from various sources such as medical records, insurance claims, wearable devices, and even social media, healthcare practices can make informed decisions on how to provide better care for their patients. Practices can better predict and attack disease outbreaks and personalize treatment plans when they take advantage of data analytics.

Improving Patient Engagement

Patient engagement is crucial in improving patient care. Many healthcare practices are now using various tools and methods to engage patients and keep them informed about their health. These methods can include:

  • Patient portals
  • Educational workshops
  • Mobile apps

These platforms allow patients to access their health records, schedule appointments, receive reminders for medications, and communicate directly with their healthcare providers. These provisions improve communication while empowering patients to take an active role in their healthcare.

Healthcare practices are improving patient care in many ways. These efforts, from advanced tech such as telemedicine and data analytics to better training and patient engagement, are driving significant progress in patient outcomes. Patients will benefit from more efficient, effective, and compassionate care as healthcare practices continue to innovate and adapt.

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Casey Cartwright

Casey Cartwright

Casey is a passionate copyeditor highly motivated to provide compelling SEO content in the digital marketing space. Her expertise includes a vast range of industries from highly technical, consumer, and lifestyle-based, with an emphasis on attention to detail and readability.

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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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AI Regulation and Deployment Is Now a Core Healthcare Issue

Clinical Reads

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
February 1, 2026
0

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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