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Pharma IT and AI – 2024 Health IT Predictions

Healthcare IT Today

For the pharmacovigilance space, for example, this automation will begin as a tool for recommendations, suggestions or options for potential safety reports, but it will not fully replace human efforts particularly as there are concerns around data output consistency.

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Asaya and medical cannabis care in the era of personalised medicine

Lloyd Price

Desperate for medical insights without delay, researchers, pharmaceutical companies and government agencies turned to health information captured through real-world data sources. Medical cannabis is a unique example in medicine where: 1. The COVID-19 pandemic has prompted widespread use of real-world data (1). 6 May 2017.

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Virtual Care – negotiating barriers to adoption offers glimpses of an exciting future

Lloyd Price

Virtual care also generates a wealth of patient data captured in real-time reporting across patient populations, health information, treatment responses, lifestyle patterns and medication adherence. Digital health companies can help identify new drug targets, design clinical trials and analyse data more effectively.

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Self-sovereign identity (SSI) - the future of Health Data?

Lloyd Price

Enhanced research efficiency: Researchers can gain faster access to anonymized patient data with patient consent through SSI, accelerating research efforts and drug development. This empowers them to manage their health information and participate actively in their care decisions.

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New Blockchain ledger will let US residents sell personal Healthcare data

Lloyd Price

Most people don't know it but there is a multi-billion dollar industry that collects healthcare information, strips it of basic personal identifiers such as name, address and Social Security Number, and then sells it off to researchers, drug developers, marketers and others. "It's not fair.

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A guide to connected health device and remote patient monitoring vendors

Healthcare IT News - Telehealth

The treatment algorithms are personalized for each patient based on machine learning and ensure the right drug dosages and treatments for the right patient at the right time. For example, the Brigham Home Hospital program leveraged Biofourmis’ AI-based technology to improve outcomes while lowering costs by 38%, the company reported.