ai healthcare

Explore Healthcare Enterprise Large Language Model Solutions

Blueprint: Industry Categories

The healthcare generative AI field is rapidly advancing, with a plethora of vendors each purporting that their AI features can tackle healthcare challenges. It’s vital for healthcare leaders to evaluate the benefits, value, and quality of these AI features while also mitigating potential risks.

A buyers guide for ambient AI scribe and revenue cycle management solutions.

The healthcare generative AI field is rapidly advancing, with a plethora of vendors each purporting that their AI features can tackle healthcare challenges. It’s vital for healthcare leaders to evaluate the benefits, value, and quality of these AI features while also mitigating potential risks. A buyers guide for ambient AI scribe and revenue.

Responsible AI Primer and Playbook for Public Health and Healthcare Organizations

Blueprint: Industry Categories

This playbook outlines how to build an organization’s responsible AI roadmap, establish responsible AI principles, prioritize opportunities, and develop policies for usage. Establishing and adhering to responsible AI guiding principles safeguards the adoption of AI applications.

Leverage the power of AI to improve individual and population health outcomes.

This playbook outlines how to build an organization’s responsible AI roadmap, establish responsible AI principles, prioritize opportunities, and develop policies for usage. Establishing and adhering to responsible AI guiding principles safeguards the adoption of AI applications.. Leverage the power of AI to improve individual and population health.

Seven-Step Guide to Getting Started With Responsible AI

Templates And Policies: Industry Categories

Elevating your organization's AI maturity level by taking gradual steps toward responsible AI implementation.

Implementing Responsible AI Leadership Presentation

Tool: Industry Categories

A customizable tool for presenting your case for developing responsible AI guiding principles, assessing AI capabilities and readiness, and prioritizing use cases based on complexity, responsible AI guiding principles, and alignment with organizational goals.

The Potential Financial Benefits of AI in Healthcare Organizations

Blueprint: Industry Categories

Artificial intelligence (AI) in healthcare is on the rise and shows significant potential benefits to improve operational efficiency and patient outcomes. However, AI could offer financial benefits, including cost savings and revenue-generation opportunities, which have the potential to transform...

Assess the cost and benefit of AI use cases.

Artificial intelligence (AI) in healthcare is on the rise and shows significant potential benefits to improve operational efficiency and patient outcomes. However, AI could offer financial benefits, including cost savings and revenue-generation opportunities, which have the potential to transform your organization's healthcare service delivery...

AI-Powered Precision Medicine to Improve Patient Outcomes

Blueprint: Industry Categories

The traditional one-size-fits-all approach to medical treatment has not been successful for many patients. Researchers and clinicians have been exploring precision medicine as an alternative. AI-enabled precision medicine holds great promise for the appropriate treatment to the right patient at...

A framework to validate the accuracy, safety, and effectiveness of AI in patient care.

The traditional one-size-fits-all approach to medical treatment has not been successful for many patients. Researchers and clinicians have been exploring precision medicine as an alternative. AI-enabled precision medicine holds great promise for the appropriate treatment to the right patient at the right time. A framework to validate the accuracy,.

Discover AI Use Cases in Healthcare

Blueprint: Industry Categories

Artificial intelligence (AI) in healthcare is on the rise and shows significant potential benefits to increase operational efficiency, improve patient outcomes, and reduce costs. However, there are some AI challenges such as privacy, bias, and security to consider for responsible AI adoption.

Leveraging AI to address healthcare challenges.

Artificial intelligence (AI) in healthcare is on the rise and shows significant potential benefits to increase operational efficiency, improve patient outcomes, and reduce costs. However, there are some AI challenges such as privacy, bias, and security to consider for responsible AI adoption.. Leveraging AI to address healthcare challenges.

Oracle Healthcare Analytics

SoftwareReviews: Software Product

Oracle Healthcare Analytics and AI uses the latest cloud analytics and data science technologies to analyze healthcare data and build new AI applications. Oracle Healthcare Analytics and AI creates evidence-based care models and understand how to improve patient experiences and clinician satisfaction whilst reducing the cost of care and enhancing.

HealthEC

SoftwareReviews: Software Product

HealthEC is an AI-enabled population health management (PHM) platform delivers fully integrated analytics and insights that enable value-based health systems and care organizations to improve outcomes. Their data agnostic platform ingests all available data — integrating clinical with claims data to identify high-risk patients, close care gaps and.

Ampliz Healthcare Intelligence

SoftwareReviews: Software Product

Ampliz Healthcare Intelligence is a platform designed with powerful artificial intelligence backed with human intelligence gives rise to premium quality data output. Ampliz Healthcare Intelligence gives insights derived from the real-time customer footprints analytics, targets customers based on their online buying journey and helps your sales and.

Build and Select AI Use Cases for Health Insurance

Blueprint: Industry Categories

AI-driven applications in health insurance bridge gaps where traditional processes fall short by using big data insights and real-time analytics. They enhance risk assessment, streamline claims processing, improve fraud detection, and enable predictive forecasting to reduce costs, boost...

Prioritize AI use cases to transform your organization.

AI-driven applications in health insurance bridge gaps where traditional processes fall short by using big data insights and real-time analytics. They enhance risk assessment, streamline claims processing, improve fraud detection, and enable predictive forecasting to reduce costs, boost efficiency, and enhance member satisfaction. Prioritize AI.

Health Insurance AI Initiatives Prioritization and Roadmap Planning Tool

Tool: Industry Categories

The tool will help your firm rank your AI use cases according to your specific criteria. It will provide a ranked list and a planning tool.

BluIP Positions AI-First Overlay and Agent-to-Agent (A2A) Communications Platform for Industry-Specific Needs

Vendor Research: Applications

BluIP has repositioned into an AI-first communications provider with its AIVA Connect platform, integrating UCaaS, CCaaS, and AI automation. Focused on hospitality, healthcare, and government, BluIP delivers system-aware, low-code AI orchestration with multi-LLM flexibility and strong vertical...

BluIP has repositioned into an AI-first communications provider with its AIVA Connect platform, integrating UCaaS, CCaaS, and AI automation. Focused on hospitality, healthcare, and government, BluIP delivers system-aware, low-code AI orchestration with multi-LLM flexibility and strong vertical integrationIn an analyst conversation, Steven Norris,.

How Health Insurers Can Turn AI Experiments into Impact: Insights from Info-Tech Research Group on Scaling AI in the Insurance Industry

Press Release:

Health insurers often struggle to scale AI projects beyond initial experiments, leaving many pilots stalled before they can deliver real value. To address this challenge, Info-Tech Research Group, a global IT research and advisory firm, has released a new resource that provides IT leaders in the...

To address this challenge, Info-Tech Research Group, a global IT research and advisory firm, has released a new resource that provides IT leaders in the insurance industry with practical insights and guidance on prioritizing initiatives, assessing feasibility, and selecting AI applications that align with business goals. "Health insurers know AI.

Solidatus Expands Metadata Governance With Agentic AI and Bi-Temporal Graphs

Vendor Research: Industry Coverage

Solidatus is transforming from a platform focused on lineage-first metadata into an advanced tool powered by agentic AI. Its bi-temporal graph structure, semantic modeling capabilities, and built-in AI assistant make Solidatus well-suited for tackling complex governance and data quality...

Solidatus is transforming from a platform focused on lineage-first metadata into an advanced tool powered by agentic AI. Solidatus is transforming from a platform focused on ... Strategic Positioning Solidatus targets highly regulated, complex organizations – especially in financial services, healthcare, and government. Image © SolidatusThe.

Modernize Healthcare Systems: A Buyers Guide to Electronic Health Records

Blueprint: Industry Categories

Healthcare organizations must modernize EHR systems for interoperability, AI readiness, and efficiency. Fragmented IT environments post-M&A create workflow silos and hinder care coordination, necessitating consolidation. Despite recognizing benefits, cost concerns and data migration complexities...

Select the right EHR to align clinical priorities, reduce technical debt, and deliver sustainable operational improvements.

Healthcare organizations must modernize EHR systems for interoperability, AI readiness, and efficiency. Fragmented IT environments post-M&A create workflow silos and hinder care coordination, necessitating consolidation. Despite recognizing benefits, cost concerns and data migration complexities delay transformation. Clear governance and strategic.

Any Model, Any Hardware, Any Cloud: Red Hat & Cisco’s Vision for Open, Flexible AI

Vendor Research: Industry Coverage

During a recent briefing (October 2025) Red Hat and Cisco introduced a jointly developed, enterprise-grade AI platform that enables organizations to run generative and agentic AI securely across hybrid environments – on-prem, cloud, and edge – using open-source models and hardware-agnostic...

Image Source: Red Hat/Cisco analyst presentation This solution effectively tackles major challenges encountered by enterprises during adoption, such as cost unpredictability, data sovereignty, and fragmented infrastructure. The solution is tailored for sectors such as financial services, healthcare, government, and manufacturing, as well as.

Hospital Innovation Report

Industry: Industry Categories

Hospital Innovation Report and Review

Hospital Innovation Report and Review. Hospital administrative and practitioner staff are calling for innovation to facilitate value-based care, yet obstacles exist for Hospital CIOs as they are often not seen as innovators by doctors and medical staff.This report helps you to identify and evaluate how new technology trends that will affect your.

Visit our IT’s Moment: A Technology-First Solution for Uncertain Times Resource Center
Over 100 analysts waiting to take your call right now: +1 (703) 340 1171