As health plans face growing pressure to reduce costs, optimize utilization, improve quality performance, HEDIS measures, and Star Ratings, all while sustaining growth, many continue to struggle with fragmented data, disconnected operational processes, siloed analytics, and limited visibility across the enterprise. MedeAnalytics addresses those challenges with purpose-built solutions that enable health plans to identify issues sooner, prioritize the highest-impact opportunities, and act faster.

“Health plan executives don’t need more reports. They need greater visibility into what’s driving performance across their organization and the ability to act before issues impact financial and clinical outcomes,” said Steve Grieco, CEO of MedeAnalytics. “These innovations reflect our continued commitment to helping health plans move beyond retrospective analytics and toward proactive enterprise performance management across every line of business.”

Built on MedeAnalytics’ cloud-native Enterprise Health Data Management Platform, powered by its proprietary Health Fabric, these solutions further unify clinical, claims, financial, operational, and SDoH data into a single source of truth, delivering enterprise-wide intelligence that supports faster, more confident decision-making.

Also Read: Ambience Healthcare Expands Chart-Aware Intelligence to Full Inpatient Workflow

Driving Medicare Advantage Performance

While the Medicare Advantage market continues to evolve, it remains one of the most important growth opportunities for health plans. However, increasing regulatory complexity, heightened Star Ratings pressure, rising medical costs, and evolving member expectations have made performance management more challenging than ever.

Enhancements to Medicare Advantage Insights deliver a more comprehensive and targeted view of the factors impacting performance across quality, risk adjustment, utilization, member experience, and financial outcomes. By connecting these traditionally siloed domains, health plans can identify emerging risks earlier, align operational priorities, and prioritize resources toward the interventions most likely to improve member outcomes, Star Ratings, and financial performance.

Strengthening Employer Group Competitiveness and Satisfaction

At the same time, employers are demanding greater transparency, accountability, and value from their healthcare partners.

New innovations within Employer Group Performance enable health plans to better understand and proactively manage employer-specific cost drivers, high-cost claimants, utilization, quality, and engagement trends while proactively identifying and prioritizing opportunities to improve account performance, strengthen retention, and support growth. Through interactive dynamic reporting, benchmarking, and self-service, Employer Group Performance provides executives with actionable intelligence that helps demonstrate value while supporting more strategic employer relationships.

From Enterprise Intelligence to Enterprise Performance

Unlike traditional analytics platforms that stop at reporting, MedeAnalytics combines enterprise data management, cross-domain analytics, native AI, workflow-enabled action, and Strategic Advisory services to help organizations translate intelligence into measurable business outcomes.

The result is a more connected approach to healthcare performance—one that helps health plans improve financial results, optimize utilization, strengthen quality outcomes, manage operational complexity, and maximize the value of existing technology investments.

Source: BusinessWire

The post MedeAnalytics Enhances Enterprise Analytics Portfolio with New Medicare Advantage and Employer Group Performance Innovations appeared first on ITDigest.

For care management teams, discharge planning within SNFs has long been a blind spot. Today, discharge planning spans multiple care teams and systems. While SNFs coordinate follow-up appointments, home health referrals, durable medical equipment (DME), and discharge disposition, those details are often scattered across assessments, progress notes, and workflows that are not easily accessible to downstream care teams. When these critical transition details do not follow the patient across care settings, it results in fragmented coordination and potentially avoidable readmissions. According to Agency for Healthcare Research and Quality (AHRQ), the average hospital readmission costs $15,200, underscoring just how quickly discharge planning gaps can become a major financial and operational burden.

“Today, discharge planning is a black box. Care managers chase updates through phone calls and faxes, while SNFs repeatedly relay the same information to multiple stakeholders,” said Shaun Hardin, senior director of product management at PointClickCare. “By bringing AI-informed discharge planning insights into a shared workflow while the patient is still in the SNF, providers can reduce friction, coordinate transitions more effectively, and help prevent avoidable readmissions. This ultimately leads to better care delivery and safer patient transitions.”

Also Read: Clerri Integrates Patient Financing Through New Cherry Partnership

As the leading electronic health record (EHR), connected to a network of more than 30,000 long-term and post-acute care providers, PointClickCare is uniquely positioned to bring clarity and coordination to discharge planning. Utilizing AI to read, organize, and surface discharge-relevant information provides care teams with earlier visibility into discharge plans and helps reduce manual calls, faxes, and fragmented workflows that slow transitions of care.

PCC’s PAC Management solution now includes:

• Shared SNF Discharge Assessments: Care managers at ACOs, hospitals, and health plans can now access the same structured discharge assessments used by SNFs directly within their care coordination workflows. This creates a shared, authoritative record of discharge planning activity, reducing redundancy, eliminating information gaps, and establishing a common foundation for transition coordination.
• SNF Discharge Planning Insight: New AI capabilities automatically read and organize discharge-relevant information buried across SNF progress notes and clinical documentation. For each patient, care managers can now clearly see details that matter for a safe transition, while the SNF stay is still in progress. Care management teams no longer have to wait for discharge information or manually piece together data from multiple sources. The insight needed to coordinate services, plan outreach, and prevent failed transitions of care is now available exactly when it is needed, in one place.

PointClickCare will demo the enhanced PAC Management solution at AHIP26, during a theater session titled, “Enabling Care Management as a Proactive Cost Containment Strategy,” on June 10 from 8:45–9:00 a.m. PDT. Care management leaders are invited to learn how PointClickCare is solving for transitions of care across the continuum. Discover how our enhanced PAC Management solution and recently launched Discharge Intel, which delivers critical clinical intelligence within 24 hours of hospital discharge, are helping organizations eliminate blind spots, close care gaps, and drive better outcomes across all care settings.

Source: PRNewswire

The post PointClickCare Introduces AI-Informed SNF Discharge Planning Intelligence, Giving Health Plans, ACOs, and Hospitals a Unified View of Discharge Plan Completeness appeared first on ITDigest.

Life sciences companies operate under very strict regulatory systems which are constantly changing. Yet, compliance teams very often encounter resistance in their operations such as very slow manual checking of policies, compliance gaps going unnoticed, regulatory instructions getting scattered in numerous government portals etc. These layered issues often result in the discrepancies in safety standards in different manufacturing facilities across the globe which not only increase the considerable administrative work but also the possibility of exposure to costly enforcement actions. Zifo’s latest software solution addresses these issues by transforming EHS policy review from a tedious manual chore into a strategic, high-efficiency capability.

Automated Discrepancy Auditing and Regulatory Synthesis

The platform introduces an intelligent, evidence-based approach to risk management. While traditional internal audits rely on slow manual cross-referencing, this services accelerator systematically cross-references environmental, health, and safety policies against active OSHA, EPA, FDA, and global industry standards to instantly isolate structural compliance discrepancies.

Also Read: Clarify Health Acquires Loyal Health to Build Closed-Loop Network Intelligence Platform

The underlying technology suite introduces several core capabilities designed for modern life sciences operations:

Vertical Life Sciences Architecture: Designed from the ground up to serve pharmaceutical, biotech, and medical device companies, this product comes with built-in knowledge of industry-specific environmental and clinical safety limits.

Rapid Policy Parsing: Using a team of proprietary machine learning models, a very complex and lengthy document of EHS policies can be parsed not in days but mere minutes, contributing to a significant 90% decrease in manual review processes.

Automated Regulatory Research: The regulatory research robot scans and collects amendments made to the regulations from the government and industry bodies’ official sources, thereby internal assessments are always in line with current laws.

Semantic Language Interpretation: Instead of merely practice matching keywords, the AI thoroughly understands the text’s contextual meaning which is why it can detect hidden compliance gaps even when the company’s internal terminology does not exactly match legal wording.

Actionable Corporate Risk Scoring: Through the use of automated severity mapping and confidence indexes, enterprise compliance teams can focus on the highest-risk vulnerabilities immediately and plan their remediation campaigns So.

Sovereign Data Protection Systems: The product which is thoughtfully constructed to ensure protection of highly confidential corporate data allows for either on-premise or private cloud deployment types, This way corporate proprietary operational data is kept strictly within corporate network boundaries.

Unifying Technology Architecture Across the Scientific Value Chain

The EHS services accelerator is highly adaptable, fitting into multiple segments of the scientific value chain—including Research & Development (R&D), Preclinical Development, Chemistry, Manufacturing, and Controls (CMC), Quality Assurance & Quality Control (QA/QC), and Contract Development and Manufacturing Organizations (CDMOs).

This tool represents an expansion of Zifo‘s enterprise informatics ecosystem, which works to eliminate the recurring technology and data challenges that slow down progress in the scientific industry. By merging domain-specific context with advanced data processing tools—such as automated regulatory change tracking, structured data element extraction, and machine-generated enhancement recommendations—the platform ensures actionable compliance data is maintained smoothly across all corporate locations.

This methodology moves beyond simple document processing to enable proactive corporate risk management. When global standards are officially revised, the system sets up an intelligent environment where internal corporate policies are automatically re-validated, maintaining uniform compliance rigor. This architecture ensures that verified, context-rich regulatory proof flows safely across the entire enterprise, eliminating human tracking errors and building a permanent digital archive designed to continuously improve an organization’s overall compliance posture.

The post Zifo Launches AI-Powered EHS Compliance Services Accelerator appeared first on ITDigest.

The post ITDigest’s Weekly News Roundup Featuring Microsoft, NVIDIA, Experian, Mayo Clinic, NetApp and Cisco appeared first on ITDigest.

The contemporary healthcare landscape remains challenged by fragmented patient navigation tools and data silos, which frequently lead to out-of-network leakage and incomplete care transitions. Loyal’s Care Activation Platform addresses these pain points by supervising more than 80,000 provider and facility profiles while facilitating millions of patient search queries and automated scheduling actions annually for major health systems nationwide. By integrating these consumer-facing front-end capabilities with Clarify’s proprietary Meridian® intelligence ecosystem, the combined entity provides healthcare delivery systems with comprehensive, end-to-end management over patient access points, referral trends, and overall market expansion.

“Health systems know that better referral management drives better outcomes.” said Todd Gottula, CEO and Co-Founder of Clarify. “What they haven’t had is a single platform that connects the intelligence, where should this patient go, with the activation that gets them there. Clarify provides the intelligence. Loyal provides the activation. Together, we’re giving health systems the ability to run the full loop from referral to measured outcome.”

Also Read: Cognizant Expands TriZetto Unify with AI Agent Access to Streamline Prior Authorization

Driving Measurable Patient Transitions with Advanced Machine Learning

The combined technology framework bridges the gap between predictive analytical insights and direct patient engagement. Clarify’s Meridian platform works to pinpoint efficient clinical referral corridors, measure network data discrepancies, and highlight strategic institutional growth opportunities. Concurrently, Loyal’s digital interface guides consumers into these verified care pathways using automated outreach campaigns, intuitive virtual chat tools, and real-time appointment scheduling engines.

The operational architecture merges Clarify’s specialized machine learning models—which analyze healthcare quality, delivery costs, and network efficiency metrics with Loyal’s AI-driven conversational and predictive propensity technologies. This integration supplies hospital administrators with highly accurate, decision-grade intelligence alongside automated coordination workflows across the entire patient care lifecycle.

“Loyal has built a platform that close to 500 hospitals rely on to connect patients with the care they need,” said Nanette Oddo, former CEO of Loyal Health. “This combination ensures that work continues with the resources, data, and scale to make it even more impactful for our customers and the communities they serve.”

Following the close of the transaction, Todd Gottula will retain his role as CEO and Co-Founder to spearhead the unified company, while Loyal will proceed with its operations as a wholly owned subsidiary of Clarify Health. Commercial clients using solutions from either organization will continue to receive uninterrupted service, product availability, and technical support. Financial specifics regarding the corporate acquisition were not disclosed. Legal counsel for the transaction was managed by Orrick, Herrington & Sutcliffe LLP on behalf of Clarify, and Goodwin Procter LLP on behalf of Loyal, with OM Partners serving as Loyal’s primary financial advisor.

The post Clarify Health Acquires Loyal Health to Build Closed-Loop Network Intelligence Platform appeared first on ITDigest.

“This partnership reflects how we’re thinking about Clerri as a platform, not a single product. Membership has always been our foundation, but the practices we serve need a unified surface for every financial conversation with a patient. Our integration with Cherry is the first of several innovations built around that idea,” said Jacob Evans, Chief Product and Technology Officer at Clerri.

Cost is the most common reason patients delay or decline treatment. Clerri’s integration with Cherry eliminates the friction at the exact moment it matters most: case presentation. With financing and membership both accessible from a single workflow, staff can walk a patient through their full range of options, including savings through a membership plan, flexible payment terms through Cherry, or both, all without leaving the platform or logging into a separate system.

Also Read: Ambience Healthcare Expands Chart-Aware Intelligence to Full Inpatient Workflow

One Workflow. Two Powerful Tools. Zero Extra Steps.

The Cherry integration is simple to set up and offers a streamlined three-step process that fits naturally into the existing Clerri experience:

1. Connect your API key to Clerri. From the Practice Portal, navigate to Product Settings › Connect Cherry. Paste the API key and the integration is live. Setup takes about two minutes.
2. Initiate a pre-approval from the treatment plan. From within the patient’s treatment plan in the Clerri platform, staff can run a Cherry pre-approval on the spot. The result is a financing range valid for 60 days, returned in seconds.
3. Patient applies and gets financing. The patient completes a ~30-second application on their phone. Cherry manages the checkout process end to end. Once complete, the practice receives payment for the treatment.

Staff never leave the Clerri platform. There is nothing new to log into, no separate software to manage, and no additional training required to get up and running.

Source: PRNewswire

The post Clerri Integrates Patient Financing Through New Cherry Partnership appeared first on ITDigest.

Also Read: SandboxAQ Integrates Quantitative AI Models With Claude to Accelerate Scientific Discovery

The model will initially be tested within the Mayo Clinic facility. Ownership of the AI model will belong to Mayo Clinic, but Microsoft intends to distribute it via Azure Foundry APIs. Commenting on the collaboration, Gianrico Farrugia, M.D., president and CEO, Mayo Clinic, said, “Now, by combining our clinical expertise and data foundation with Microsoft’s engineering and AI capabilities, we are once again building something new in healthcare and bringing more of Mayo Clinic to more patients.” The partnership seeks to improve patient outcomes while expanding access to trusted healthcare expertise globally.

Read More: Mayo Clinic and Microsoft collaborate to develop a frontier AI model for healthcare

The post Mayo Clinic and Microsoft Join Forces to Build Advanced AI Model for Healthcare appeared first on ITDigest.

Stellarus AtlasIQ brings together a health plan’s clinical, claims, member, provider, and operational data into a single, trusted source of truth, transforming siloed systems into a continuously updated secure foundation for decision-making and AI deployment. This enables organizations to shift from relying on batch-processed, static file transfers to real-time, integrated operations, making it possible to operationalize AI for speed and accuracy across core workflows such as customer service, authorizations for care, and processing claims.

“As healthcare organizations accelerate AI adoption, the limiting factor has been the underlying data infrastructure required to support them at scale,” said Vanessa Colella, President and CEO of Stellarus. “AtlasIQ removes structural constraints by eliminating lock-in and creating a foundation where data flows cleanly, workflows remain stable, and new capabilities can be introduced without disruption. That shift unlocks something far bigger than operational efficiency. With AtlasIQ the industry can finally move at the pace required to improve outcomes, reduce cost, and deliver a fundamentally better experience for every member and provider.”

Also Read: AssureCare Launches NutraVance – Delivering the Industry’s First End-to-End Nutrition Platform for Population Health

AtlasIQ operates on the Stellarus enterprise platform and currently handles more than 530 billion records for Blue Shield of California, with over 15,000 integration and quality logic rules that cover health plan data from members, providers, customer experiences, claims, and providers. Automated quality checks are running constantly, ensuring accuracy and integrity are reliably validated. This structure guarantees that data is not only aggregated but also governed, trustworthy, auditable, and prepared for enterprise-wide use. Specifically, Stellarus AtlasIQ provides:

• Unified data ingestion across clinical, claims, and operational sources
• Real-time normalization, quality validation, and classification
• Secure, compliant infrastructure with built-in PHI/PII classification aligned to HIPAA and SOC 2 requirements

“At Blue Shield of California, we’ve seen firsthand how critical it is to bring healthcare into the digital age,” said Paul Markovich, President and CEO of Ascendiun, parent company of Stellarus and Blue Shield of California.” AtlasIQ pulls and integrates all the healthcare data that health plans, members, and physicians need to make faster decisions and get better, more efficient care. Through Stellarus, we’re delivering the kind of infrastructure that can help transform healthcare.”

Source: PRNewswire

The post Stellarus Launches AtlasIQ, A New Foundation for Modern Healthcare appeared first on ITDigest.

Nutrition is a core lever of population health because it directly shapes both the incidence of disease and the resilience of communities across the lifespan. As healthcare increasingly recognizes nutrition as a foundational driver of chronic disease outcomes, preventive care, and health equity, organizations face a common challenge: translating Food as Medicine programs from isolated pilots into integrated clinical services. Most programs fail to scale. Despite growing investment in nutrition interventions, fragmented vendors, disconnected workflows, limited patient engagement, and unclear reimbursement pathways often prevent organizations from building nutrition interventions that are operationally and financially sustainable.

NutraVance is the first solution built to change that.

“Food as Medicine isn’t a new idea – the clinical evidence has been there for years, and healthcare has known that without being able to act. The tools weren’t there. The workflow wasn’t there. The infrastructure wasn’t there. NutraVance is the answer to that,” said Yousuf Ahmad, CEO of AssureCare. “We built it because we believe nutrition belongs at the center of care – not beside it. The patients we serve deserve a healthcare system that treats food with the same rigor, coordination, and accountability expected of other clinical services.”

The platform brings together nutrition assessment, care planning, personalized meal planning, nutrient analysis, patient engagement, and reimbursement workflows into a single, integrated solution – all embedded directly into clinical and administrative processes. This connected approach helps organizations move nutrition from a well-intentioned initiative to an integrated clinical service.

Rather than functioning as another standalone food or meal-delivery solution, NutraVance enables healthcare organizations to manage the full lifecycle of nutrition care – from identifying at-risk populations and assessing nutritional needs to coordinating interventions, documenting services, supporting billing and reimbursement, and measuring outcomes longitudinally.

“Nutrition has historically lived outside core healthcare workflows, which limits both impact and scalability,” said Mayur Yermaneni, EVP of Strategy & Innovation at AssureCare. “Our vision for NutraVance was to build more than a nutrition application – we set out to create an intelligent, clinically integrated platform for Food as Medicine. By combining agentic AI, patient engagement, clinical workflows, and reimbursement enablement into one ecosystem, NutraVance helps transform nutrition from a disconnected benefit into a measurable, operationalized component of whole-person care. This launch reflects our broader strategy of embedding responsible AI directly into healthcare delivery to improve outcomes.”

Also Read: Octagos Launches Ask Atlas, the First AI Tool Built for Device Clinics to Ask Questions of Their Own Data 

At the core of NutraVance is AssureCare’s emerging agentic AI framework, designed to support more intelligent, personalized, and scalable nutrition management while maintaining strong clinical governance and evidence-based safeguards.

NutraVance leverages AI-assisted capabilities to:

• Generate personalized nutrition and meal recommendations aligned to clinical conditions, allergies, preferences, and care goals
• Analyze nutritional intake and longitudinal wellness patterns to identify emerging risks and care opportunities
• Support patient engagement through intelligent outreach, reminders, education, and adaptive guidance
• Assist care teams with documentation and workflow automation to reduce administrative burden
• Continuously learn from patient interactions and outcomes while operating within configurable clinical guardrails and standards-based oversight

The platform is designed to augment – not replace – clinical expertise, enabling dietitians, care managers, and healthcare organizations to extend their reach while preserving transparency, governance, and accountability.

NutraVance also creates a more connected patient experience by enabling individuals to actively participate in nutrition and wellness management while contributing meaningful, interoperable health data back into the care ecosystem.

“As a dietitian, I’ve seen firsthand what happens when nutrition sits outside the care workflow – it becomes deprioritized, under-documented, and disconnected from both the patient and the broader care journey,” said Brian Jones, Director of Nutrition for AssureCare. “NutraVance connects nutrition directly into the clinical experience while giving patients a more active role in sharing meaningful nutrition and wellness data. Every interaction helps build a more complete, interoperable picture of the patient over time. That’s not just better technology, it’s better care.”

With NutraVance, AssureCare is helping healthcare organizations move beyond fragmented Food as Medicine pilots and toward a future where nutrition becomes a connected, measurable, and AI-enabled pillar of care delivery.

Source: PRNewswire

The post AssureCare Launches NutraVance™ – Delivering the Industry’s First End-to-End Nutrition Platform for Population Health appeared first on ITDigest.

This new feature is based on a headless API concept that enables AI agents to operate as the main users of the platform, utilizing services without the need for conventional user interfaces. This release comes after Cognizant’s previous introduction of AI-based applications like TriZetto Assistant and Autonomous Workflow Agents, and is a major move towards the wider adoption of AI in healthcare processes.

“This is the first move in opening our healthcare platforms to a new kind of consumer,” said Prasad Sankaran, President, Cognizant AI Products and Platforms. “AI agents are increasingly joining human users in enterprise workflows, and for regulated industries like healthcare, that requires a platform that is policy-governed, auditable and built on industry-standard healthcare interoperability protocols. Every future solution built on the TriZetto Unify platform strategy will treat agents as first-tier consumers from the start.”

Also Read: Oticon Medical Expands Non-Surgical Hearing Solutions With New Ponto Instant Portfolio

Prior authorization continues to be a significant stumbling block throughout the U.S. health care system. It frequently causes treatment delays for patients and raises the work load on providers. Cognizant’s goal is to give healthcare professionals more time for engaging in patient-centric activities by allowing AI assistants to take care of routine tasks like figuring out if authorization is needed, what documents are required and making the authorization request.

Surya Gummadi President Cognizant Americas, said that healthcare is always a huge challenge for any society. Firstly, we need a highly qualified healthcare workforce to deliver quality healthcare services. Secondly, we need to keep the cost of healthcare affordable for the people who need it the most. AI agents, he added, may be used for repetitive administrative work but will always be subject to human oversight.

The new Electronic Prior Authorization solution incorporates industry-standard HL7 FHIR APIs and supports emerging AI integration standards, including the Model Context Protocol (MCP). Cognizant plans to extend agent-ready capabilities across the broader TriZetto Unify portfolio over the next year.

Supporting more than 200 million healthcare members and processing over $500 billion in annual healthcare transactions, TriZetto’s platform is positioned to help healthcare organizations move from AI experimentation to practical, large-scale deployment that improves efficiency and accelerates patient access to care.

The post Cognizant Expands TriZetto Unify with AI Agent Access to Streamline Prior Authorization appeared first on ITDigest.