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Home Trends

Care Gaps Predict Telemedicine Trends

Daily Remedy by Daily Remedy
January 30, 2022
in Trends
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Care Gaps Predict Telemedicine Trends

The future of telemedicine remains uncertain. But that has not stopped the predictions. Some say the future of healthcare is purely virtual while others believe the traditional in-person model of care cannot be replaced.

What is certain is that the future of telemedicine will be determined by the insurance industry. Health insurance companies are now de facto technology companies, each with their own digital platforms to correlate clinical services with financial compensation. Telemedicine will have a role in this platform.

But that role will be less clinical and more financial. Healthcare insurers are in a cost cutting frenzy and looking to optimize patient utilization – insurance-speak for how much healthcare people use, the types of healthcare they use, and the timing of that care.

Too much utilization leads to excess cost for insurers. Too little utilization leads to gaps in care that result in poor outcomes. Optimal utilization balances care rendered with its cost. This is where telemedicine will sustain its footing long term.

It provides low cost communication that is both convenient and increasingly accessible. It allows patients to discuss things that they could not during the in-and-out bustle of a clinical visit. It can be conducted by mid-level healthcare providers who work at lower hourly rates than doctors. In short, it is the ideal vehicle for healthcare insurers to optimize utilization by addressing care gaps cost-effectively.

Care gaps have been shown to worsen clinical outcomes and lead to higher costs of care. But most of these gaps are nothing more than depression screenings, referrals, or medication reconciliations – reviewing the medications a patient takes. They are simple conversations that cover the basics of clinical care, but can be the difference between a compliant patient or a frequent flier to the emergency department.

More importantly, telemedicine offers the opportunity to engage with patients outside of the traditional clinical encounter, to discuss aspects of their care that are overlooked or not properly discussed during a traditional visit. Often what is discussed matters less than the discussion itself. A patient may forget the medication interactions discussed during a telemedicine meeting, but she will always remember that a conversation took place.

In this sense, telemedicine is a tool for engagement – addressing care gaps by increasing engagements and eventually, optimizing utilization by reducing cost of care. Telemedicine cannot replace traditional in-person care, but it can enhance it.

Accordingly, the balance between telemedicine and traditional care will be defined by care gap utilizations, which itself is a balance between the care rendered and its cost. For clinical care in which it is more cost effective to reach out to patients digitally, telemedicine will be utilized. For clinical care that requires direct, face-to-face interaction, the traditional patient encounter will remain in place.

But this balance is by no means static. Rather, it varies based on the technological capabilities afforded through telemedicine and the perception of those capabilities. Take remote patient monitoring for example. Only a few years earlier it was inconceivable that patients could regularly take their blood pressure and synchronize the values into a medical record system. Now the technology to do this is essentially a commodity. Patients who previously came to the doctor’s office to monitor their blood pressure can remain at home while sending blood pressure readings digitally.

Indeed many care gaps that once required an extra visit to the doctor may soon be addressed digitally. It depends on using technology in a way that patients both understand and accept as part of their care. As technology evolves, and patient integration evolves commensurately, the balance between telemedicine and traditional medicine will shift.

At the fulcrum of this balance, carefully overseeing the shift, is the other balance, that of utilization, balancing the modality of care with its costs.

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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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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
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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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