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Vital Lines September 2023

Redox

Learn more Telehealth DEA’s proposed rule gets pushback Six senators have voiced concerns about the DEA’s proposed telehealth rule, which prevents doctors from prescribing controlled substances without an in-person visit.

FHIR 105
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In Health Care, AI to Advance Rapidly Along With Its Regulation

Healthcare IT Today

He also said that the benefits go beyond doctors; for instance, care coordinators can be more efficient and AI can help drug development. Both believe that AI can deliver primary care through telehealth to regions that lack it and to marginalized communities.

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Patients and Industry: Starting Our New Life Together in 2023

Society for Participatory Medicine

The FDA issued a series of four patient-focused drug development (PFDD) guidance documents which outline how patient co-design needs to successfully happen. By the power vested in clinical research, the FDA now pronounces us patient and industry. You may now kiss the cancer survivor.

BioTech 144
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Questions prompt potential privacy expansion in interop rule

Morning eHealth

Where’s the telehealth rule? — AI and drug development

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6 challenges healthtech can help us tackle – Pt.2

Digital Health Global

Drug development The traditional drug discovery process is characterized by its protracted timeline, high costs, and significant attrition rates among drug candidates. There are three main advantages to the use of AI in drug development: width of research, speed of execution, low costs.

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COVID-19 has accelerated adoption of non-contact patient monitoring technology, says Frost & Sullivan analysis

Healthcare IT News - Telehealth

telehealth market, which will experience a significant increase due to mobile platform technology. “These technologies can also be leveraged by pharmaceutical companies to monitor the results of the drugs developed by them," said Ashish Kaul, technical insights senior research analyst at Frost & Sullivan.

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Pharma IT and AI – 2024 Health IT Predictions

Healthcare IT Today

Now, they have new tools such as artificial intelligence (AI) and machine learning (ML) that they can leverage to automatically scour medical literature for information to assist signal evaluation and medical review, or real-world-evidence insights that can lead to drug-safety improvements.