$25 billion. That’s how much Forrester predicts U.S. healthcare providers will spend on software this year. That equates to approximately 36% of their overall IT budget.
But the way providers are sizing up costs could be flawed. What if they are spending these substantial sums based on an enterprise software model that no longer makes sense?
Providers absorb a lot of expenses associated with tasks like onboarding new employees, retraining staff, managing workflow fragmentation, billing
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Innovaccer Partners with Mastek to Expand Agentic Healthcare AI Globally
What You Should Know
Global digital, cloud, and AI services company Mastek has joined Innovaccer’s Platinum Global Systems Integrator (GSI) program, committing to Innovaccer's Gravity platform for large-scale enterprise deployments.The partnership bridges Innovaccer’s healthcare AI and data infrastructure with Mastek’s operational footprint across 40+ countries, accelerating expansion into the US, UK, Europe, and Middle East.Mastek will implement and localize Innovaccer’s full suite of
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How athenaOne’s Native Ambient AI Saves Two Workdays Monthly Per Clinician
What You Should Know
athenahealth announced the broad deployment of AI-native capabilities across its athenaOne network, extending native ambient features to over 170,000 physicians and clinicians.The core innovation, athenaAmbient, is built directly into athenaOne at no extra charge, capturing patient encounters to generate draft notes, suggested diagnoses, orders, and care-gap alerts.Network results since late 2025 show a reduction of nearly six minutes per patient encounter in chart
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Assort Health Launches AI Agent to Automate End-to-End Referral Conversion
What You Should Know
Assort Health announced the general availability of Referrals, an AI agent purpose-built to automate inbound specialty referral processing, provider matching, and appointment booking.The agent identifies a better-fit provider than the one originally designated in 50% of inbound referrals, optimizing clinical alignment and reducing patient wait times.Powered by Assort's proprietary Synapse model, the agent extracts and structures data from e-faxes, scanned PDFs, EHR feeds,
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Carta Healthcare Survey: 81% of Healthcare IT Leaders Say Clinicians Must Control AI
What You Should Know
81% of surveyed CHIME member IT executives consider clinician involvement in the design and deployment of AI "mostly or vitally important," with zero respondents rating it unimportant, according to a Carta Healthcare survey.77% of technology leaders report seeing better clinical and operational outcomes when AI tools operate collaboratively alongside clinicians, and none reported that collaboration failed to help.Executives identify AI hallucination as the primary risk of
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Redesign Health Study: 71% of Health Systems Adopt an “Epic-First” AI Purchasing Strategy
What You Should Know
71% of surveyed health system leaders describe their organization as "Epic-First," and 80% expect this preference to intensify over the next 3 to 5 years, according to research study from Redesign Health 91% of executives possess "complete" (60%) or "significant" (31%) confidence that Epic will execute its AI roadmap to match best-in-class external solutions.Health systems deploy an average of 57% of their clinical and administrative IS budget to Epic, leaving 43%
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Three Essential Principles for Evaluating Healthcare AI Vendors
Healthcare organizations are confronting an overwhelming number of AI vendors lately. Most products appear similar in presentations and slide decks, making it difficult for buyers to differentiate between product A and B. The real challenge — more than finding AI solutions — is building a selection process that scales as vendor volume increases.
The fastest path to a good AI decision is an intentional, structured evaluation process. Here are three things every healthcare executive
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Controlling AI Hallucinations: Building Evidence- First Trust in Medical Information and Medical Writing Workflows
Trust Is the Real Question
Can AI outputs be trusted? This is one of the most important questions healthcare professionals ask about generative AI. This question is especially important in medical information and medical writing because the value of a response depends on clarity and whether every statement is grounded in verifiable evidence and can withstand expert scrutiny. This matters because these workflows impact clinical judgment, scientific exchange, and regulated healthcare
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Beyond AI Scribes: Why Ambient Clinical Intelligence Is Health IT’s Greatest Governance Test
Two years ago, ambient AI scribes were a mere curiosity. A handful of health systems ran the pilots. Conference demos drew crowds but not purchase orders. That phase is over.
Nearly two-thirds of U.S hospitals running Epic had deployed an ambient AI documentation tool by mid-2025 – 1,744 of them – according to a study published in the American Journal of Managed Care. Among the individual physicians, ambient documentation is the fastest-growing AI use case. Doximity’s 2026 survey of more than
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Definitive Healthcare Launches Early Adopter Program for AI-Powered Intelligence Platform
What You Should Know
Definitive Healthcare announced an early adopter program for its new AI-powered healthcare intelligence platform, inviting select customer organizations in August 2026.General availability for the platform is targeted for late 2026, informed by feedback from early adopter cohorts across health systems, life sciences companies, and commercial healthcare vendors.The platform integrates Definitive Healthcare's proprietary datasets—spanning healthcare providers,
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