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What Hospitals Need to Know about Patient Trust in GenAI

MedCity News

Hospitals need to start thinking about ways to build patients’ trust in generative AI in order for the healthcare industry to fully harness the technology’s potential. They can do this through methods like having transparent conversations, asking for patients’ consent to use the tools and training models on internal data, experts said.

Patients 356
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Wearable Tech is Empowering Patients To Be Proactive in Their Health

MedCity News

This potential for self-management can reduce the burden on the healthcare system, resulting in fewer doctor visits, lower hospitalization risks, and fewer diagnostic tests as patients can take corrective action earlier or identify issues sooner.

Patients 332
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Reimagining the Language and Translation Space for Patients

MedCity News

The post Reimagining the Language and Translation Space for Patients appeared first on MedCity News. Lack of adequate translation and interpreting services isn’t just an inconvenience, it is dangerous and potentially life-threatening.

Patients 318
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Transforming biopharma’s approach to patient engagement with direct-to-patient programs

PharmaVoice

Next-generation direct-to-patient programs can deliver. Consumers want more from biopharma.

Patients 246
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Making the Case for Case Management for Cell and Gene Therapies

Deviations from the intended supply chain can delay timelines and affect these high value products, which can be detrimental to budgets, but more importantly can have dire effects on the patients whose lives depend on receiving these critical doses safely and on time.

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It’s Time to Give Patients a Seat at the Table

MedCity News

Game-changing advances can be achieved by integrating patient collaboration and priorities into the full span of trial design. The post It’s Time to Give Patients a Seat at the Table appeared first on MedCity News.

Patients 313
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How AI Can Help Hospitals Overcome Patient Flow Barriers

MedCity News

Artificial intelligence (AI) holds potential to forecast and predict where hospital leaders should direct limited resources such as clinicians, staff, and beds to improve operational efficiency and drive better patient outcomes. The post How AI Can Help Hospitals Overcome Patient Flow Barriers appeared first on MedCity News.

Patients 306
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Running Decentralized Trials at Scale: Planning for Success

The potential for reaching a larger pool of recruits is possible when sponsors can bring more trial activities to the patient. There’s been a rapid shift towards decentralization in clinical trials & it’s clear why.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven decision-making.

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The New Clinical Trial Supply Chain: Resilient, Flexible, and Patient-Centric

An increasing number of sponsors are seeking enhanced flexibility in their supply chains to address a variety of clinical supply challenges, including patient demand and reducing delays.

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How Machine Learning Drives Clinical Trial Efficiency

Quickly accessing and analyzing study data is vital for assessing trial progress and patient safety. Clinical trial data management is increasingly challenging as studies grow in complexity. In this paper, we explore real-time data access and analysis for proactive study management.

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What the FDA's New Dosage Guidance Means for the Future of Clinical Research

Speaker: Dr. Ben Locwin - Biopharmaceutical Executive & Healthcare Futurist

Learning Objectives: Dose-response curves and patient treatment: How do pharmacologic and toxicologic principles apply to the dosing of drugs in clinical development? Ben Locwin will discuss the potential effects of this draft, along with the pharmacological and toxicological considerations for optimizing doses of prescription drugs.