Remove Drug Development Remove Health Information Remove Interoperability
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The 4 Big Gaps in HealthTech: Funding, Trust, Evidence, Valuation

Lloyd Price

Regulatory Hurdles: The stringent regulatory environment in healthcare can increase development costs and delay time to market, making it less attractive to investors. Patient Adoption: Patients may be hesitant to adopt new technologies, especially if they involve sharing personal health information or using AI-powered tools.

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Blockchain in Healthcare: A Vehicle Towards Digital Health 2.0?

The Digital Health Corner

According to an excellent whitepaper describing a case study of Medrec , a platform utilizing blockchain technology, health information interoperability is facilitated with the use of blockchain. Blockchain can also ensure the accuracy of the data exchanged among entities, something a HIE (health information exchange) cannot do.

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Future HealthTech Valuations in 2025: A Dynamic Landscape

Lloyd Price

Artificial Intelligence (AI) and Machine Learning (ML): AI and ML-powered solutions are revolutionising healthcare by enabling accurate diagnosis, personalised treatment plans, and efficient drug discovery.

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HealthTech M&A 2025 Predictions: Europe and USA

Lloyd Price

Several key trends and predictions are emerging: Increased focus on digital health and AI: AI-powered diagnostics and drug discovery: Companies specialising in AI-driven medical imaging, genomics analysis, and drug development are likely to attract significant interest from larger pharmaceutical and technology firms.

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Cognitive Architecture: emerging computational frameworks are 'one to watch in HealthTech 2025'

Lloyd Price

Ensuring data accuracy, privacy, and interoperability is crucial. Improved Access: AI-powered chatbots and virtual assistants can provide personalised health information and support to patients anytime, anywhere, increasing access to care, especially for those in remote areas or with limited mobility.

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Medical Record Automation: MRA emerges as one of the key HealthTech sub sectors in 2024

Lloyd Price

Exec Summary: Medical Record Automation is the process of using technology to streamline and optimise the management of patient health information. Challenges and Opportunities While MRA offers immense potential, challenges remain, such as: Data interoperability: Ensuring seamless data exchange between different systems.

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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 transparency builds trust and fosters informed consent. This promotes data portability and user control across the healthcare landscape.