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This research service provides an overview of the US revenue cycle management, revenue forecast, and competitive analysis of various legacy and modular RCM solutions. This study explores RCM applications across front-end, middle, and back-end processes and the end users are hospitals and ambulatory physician practices. In addition, it offers detail...

31 Jan 2022  |  North America  |  Market Research

Global Digital Health Investments Growth Opportunities

On-demand Healthcare Services and AI-enabled Care Delivery Enable Future Growth Potential

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Frost & Sullivan observed a significant increase in the digital transformation of healthcare and demand for effective IT solutions to improve care delivery, creating a lot of excitement among investors. Venture capitalist activities in health technology rise as healthcare organizations, clinical trial providers, insurance firms, employers, and poli...

The global smart hospital market is entering a pivotal growth phase, moving beyond pilot deployments into enterprise-wide transformation. Smart hospitals represent a digitally enabled model of care delivery, built on the integration of IoT, interoperability, AI, digital twins, and extended care models such as hospital-at-home and virtual care. In t...

As the rapid spread and impact of COVID-19 continue to cripple healthcare sector providers across Europe, telehealth is emerging as a boon in ensuring efficient access to essential healthcare services. Primary care appointments took a major downturn as people avoided them largely until necessary or were unable to have routine face-to-face visits du...

The global healthcare IT and digital health investment landscape is entering a new maturity curve, shaped by AI-driven operational transformation, consolidation, and platform-centric models. Funding is rebounding selectively, with capital concentrating in enterprise infrastructure, provider operations, and hybrid virtual care ecosystems. Administra...

This report examines how decentralized clinical trials (DCTs), enabled by blockchain, digital twins, and artificial intelligence, are reshaping global clinical research. It traces the shift from site-centric to patient-centric models and quantifies the growing scale, globalization, and complexity of clinical trials that make decentralization necess...

Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion models, and structure-based models are expanding the u...

Patients with long-term chronic conditions and rare diseases are looking for safe, novel, and evidence-based digital treatments in their pursuit to reduce dosages and reverse triggers of adverse events. Payers and providers are looking for legitimate alternatives to expensive medication for their patient population. Life sciences (LS) companies are...

Traditional training environments face patient safety risks, resource constraints, and limited exposure to rare event scenarios. Additionally, physical simulations are costly, limiting accessibility (especially in resource-constrained settings). Current simulation models lack personalization, resulting in operational complexity for hospitals due to...