Clinical Guidelines Gold-Standard Pathways
Digitized oncology guideline intelligence designed to become part of clinical workflow rather than remain in static documents.
ONCOSure connects oncology clinical pathways, Clinical AI, patient data, operational workflows, prior authorization, revenue intelligence and enterprise systems in one purpose-built platform.

Generic enterprise systems manage transactions. ONCOSure is designed around the oncology journey and the decisions, dependencies and economics that make cancer care different.
Digitized oncology guideline intelligence designed to become part of clinical workflow rather than remain in static documents.
Patient-specific decision support for risk factors, regimen selection and comparisons, clinical trials, services, patient materials and pharmacy considerations.
Transform fragmented oncology documentation into a structured, longitudinal patient profile.

Connect clinical documentation and authorization workflows to improve treatment access and payment readiness.
Measure access, productivity, adherence, throughput, outcomes, referrals and financial performance.
Identify missed opportunities across referrals, authorizations, documentation, treatment and reimbursement.
ONCOSure can consume, interpret and digitize diagnostic, pathology, laboratory, imaging/radiology, biomarker/genomic and treatment-related documents from multiple sources.
ONCOSure can use AI and large-language-model capabilities to surface additional patient-care insights while keeping the core treatment recommendation anchored to the governed clinical decision framework.
Identify potentially relevant ongoing clinical-trial resources for the patient's clinical context.
Surface or create patient education frameworks and materials at an appropriate level for the treatment journey.
Highlight drug contraindications and safety considerations relevant to the available patient context.
Provide additional treatment-related context that may help the clinical team evaluate the patient's options.
Surface practical support considerations that may affect engagement, adherence and the care journey.
Organize available regimen alternatives side-by-side with supporting considerations for clinician review.
Extend intelligence beyond medications to oncology services and operational decisions surrounding treatment.
Bring clinical and economic context into treatment evaluation where the necessary information is available.
Bring relevant formulary considerations into the decision workflow when applicable information is available.
AI Extraction & Structuring → Comprehensive Patient Profile → Patient-Specific Clinical Context
→ Treatment Recommendation → Additional AI Clinical Insights
→ Longitudinal Analytics → Performance & Operational Improvement
The platform is purpose-built around the clinical, operational and financial complexity of cancer care.
Guidelines and clinical intelligence become actionable rather than static.
See where patients, clinicians and services slow down or lose opportunity.
Connect authorization, documentation, claims and payment to the care journey.
The ONCOSure AI Based Clinical Assistant is designed around the patient's clinical context and provides a structured workspace for oncology decision support.

ONCOSure is designed as an agentic AI platform: specialized AI agents can interpret information, reason over the governed oncology context, orchestrate multi-step workflows, retrieve the right evidence, prepare actions and hand work back to the appropriate clinical or operational user.
Ingest and reconcile pathology, biomarkers, labs, imaging, diagnosis, stage, prior treatment and other clinical documents into a continuously organized oncology context.
Apply patient-specific evidence to structured clinical decision logic, surface relevant pathway branches and prepare treatment options for clinician review.
Coordinate downstream steps such as care plans, orders, treatment readiness, prior authorization, scheduling and follow-up across the oncology workflow.
Retrieve relevant guideline components, references, clinical-trial resources, formulary information and other supporting context without replacing the governed pathway.
Identify workflow gaps, delays, missing prerequisites, authorization bottlenecks and performance signals across surgery, systemic therapy and radiation.
Support patient education, follow-up, treatment adherence and communication workflows using the longitudinal oncology context.
ONCOSure applies AI at multiple points in the oncology lifecycle while keeping authoritative clinical decision logic distinct from generative AI. The objective is to reduce information burden, organize clinical context and surface useful insights without asking a generative model to independently invent a cancer treatment recommendation.
Published Clinical Guidelines guideline and compendium content is transformed with AI assistance into structured clinical question-and-answer decision trees.
Structured clinical logic is subjected to automated testing and Clinical Guidelines scientist validation before controlled release into patient-specific decision support.
Pathology, biomarkers, laboratory results, imaging and other patient evidence are connected to the applicable clinical decision framework.
ONCOSure connects clinical knowledge to patient-specific workflow, so teams can see what should happen, what has happened and where the journey is deviating.
Operationalize oncology guidelines and make relevant pathway information available within the care workflow.
Help clinicians navigate complex guideline information through an intelligent question-and-answer experience.
Track the oncology journey over time rather than treating every encounter as an isolated event.
The ONCOSure capabilities guide provides concrete product views and workflow diagrams that complement the platform story: the Suite architecture, Clinical Guidelines content model, treatment workflow, pathway maintenance and testing, the ONCOSure interface, patient journey and ONCODoctor care planning.
The architecture view shows how ONCOSure brings guideline pathways, staging, terminology, care plans, biomarkers, imaging, drugs and labs, ordering, analytics and governed guideline management together.
The workflow spans staging, biomarker testing, inference mapping, regimen selection, prior authorization, care plans, treatment and patient follow-up.
The patient journey views reinforce ONCOSure's focus on connecting clinical information and treatment events over time.
The ONCODoctor view combines biomarker recommendations, regimens and categories, evidence blocks, care plans, clickable references, guideline pathways and ordering templates.
ONCOSure brings surgery, systemic therapy and radiation into one performance and workflow framework.
Monitor referral, readiness, diagnosis-to-surgery progression, throughput and operational performance.
Connect regimen decisions, authorization, treatment delivery, documentation and adherence.
Monitor referral, simulation, treatment initiation, completion, utilization and patient progression.
Connect patient flow, clinical quality, productivity and financial performance.
ONCOSure is the oncology-specific operating layer. The enterprise EMR remains the enterprise system of record while ONCOSure captures and orchestrates oncology-specific intelligence and workflows.
Registration, scheduling, enterprise workflows and the broader longitudinal record.
Clinical pathways, AI intelligence, patient profile, oncology workflows, KPIs, access and revenue intelligence.
Medication-management and oncology functions where those systems provide the underlying capability.
Connect · Normalize · Orchestrate oncology information across the enterprise environment.
Structured and unstructured clinical information feeding the oncology profile.
Coverage and reimbursement information connected to the clinical journey.
Operational events transformed into measurable oncology performance.
Patient-aware clinical intelligence, pathways and decision support.
Structured longitudinal patient information for multidisciplinary decisions.
Capacity, throughput, productivity and workflow performance.
Authorization, documentation, denial and revenue-leakage intelligence.
A unified view connecting clinical performance to oncology growth.
A more connected journey with fewer avoidable delays and handoffs.
Request a demonstration of the ONCOSure Oncology Operating System, including the AI Based Clinical Assistant, pathways, patient intelligence, KPI dashboard, PMJAY workflows and enterprise integration.
Meet the organizations working with ONCOSure and learn more about the company behind the Oncology Operating System.
FHIREngine Inc. is a US based HealthCare IT company with a subsidiary in India which specializes in innovative solutions for payers and providers. FHIREngine's team has more than 100 years of combined experience in creating and successfully deploying technologies that have helped the payers and providers streamline their operations and reduced operational costs achieving significant savings. FHIREngine Inc. products use HL7-FHIR (Fast HealthCare Interoperability Resources), X12 EDI (Electronic Data Exchange 278/275 and 270/271) and SNOMED CT based platform that allow payers and providers to significantly reduce administrative burden.
Hear directly from an ONCOSure customer in this short testimonial. The video is presented here as part of the core ONCOSure story—alongside the clinical intelligence, workflow and operating-system capabilities.

Oncology-focused clinical organization and ONCOSure customer.

Hospital organization and ONCOSure customer.

Healthcare organization working with ONCOSure.

Healthcare organization working with ONCOSure.

Healthcare organization working with ONCOSure.

Healthcare organization working with ONCOSure.

Healthcare organization working with ONCOSure.

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