Looking for a more specific outcome? We’ll build a solution to get you there.
Looking for a more specific outcome? We’ll build a solution to get you there.
RBM brings together engineering discipline, data intelligence, and clinically aligned architectures to modernize operations, strengthen decision accuracy, improve care quality, and support regulatory safe transformation.
RBM delivers consulting-led modernization that aligns clinical safety data governance, interoperability, and operational continuity to build secure, scalable systems.
Empower your teams with connected systems, actionable insights, and seamless compliance built for the next era of care.
Technology is meaningful only when it directly improves operational resilience, decision integrity, clinical efficacy, and time-to-insight. RBM designs architectures where every layer, from frontend to data pipelines, links to measurable enterprise performance outcomes rather than isolated IT upgrades.
| Technologies | What We Do | Business Outcome |
|---|---|---|
| Snowflake, BigQuery, Lakehouse | Data unification, governance, modeling, and standardization | Predictive decision integrity & cross-cohort inference |
| Kubernetes, AWS, Azure, GCP | Cloud-native operations, reliability engineering | Reduced cost-per-unit operations & elastic scalability |
| HL7, FHIR, HIPAA frameworks | Interoperability & compliance alignment | Faster system-to-system integration & audit assured |
| LLM frameworks / GenAI tooling | Clinical note automation, summarisation, insight synthesis | Reduced cognitive load & accelerated documentation |
We do not sell off-the-shelf platforms; instead, we design precise healthcare IT solutions that enhance performance, foster innovation, and drive development across all verticals of the healthcare industry.
AI synthesizes longitudinal patient histories, comorbidity patterns, medication interactions, genetic markers, and clinical literature to assist physicians in narrowing differential diagnosis pathways with more confidence. Enables earlier risk signal detection, reduces diagnostic uncertainty, strengthens decision justification, and accelerates time-to-clarity at the point of care.
Intelligent conversational agents deliver 24×7 triage, symptom intake, appointment routing, medication reminders, onboarding, FAQ resolution, and post-care follow-ups. Reduces call center load, increases patient self-service confidence, improves care continuity outside clinical walls, and creates a scalable engagement layer without expanding clinician or staff headcount.
AI rapidly screens compounds, structural analogs, and molecule activity profiles to identify promising candidates earlier in the discovery funnel. Reduces wet-lab dependency, compresses hit-to-lead cycles, improves candidate prioritization certainty, and lowers unit cost of experimentation, allowing research teams to advance more candidates with the same budget envelope.
Eligibility inference models identify patients more precisely across EHR systems, demographics, disease registry cohorts, biomarker profiles, and visit history. Dramatically improves trial enrollment speed, reduces screening waste, avoids mismatched candidate recruitment, de-risks timeline slippage, and improves the overall statistical power of trial arms.
GenAI-driven scribe tooling listens, interprets, structures, and summarizes clinical encounters into compliant, standardized, structured notes. Reduces documentation burden for physicians, improves coding accuracy, increases data density for downstream analytics, decreases transcription backlog, and materially returns time to clinicians, without compromising compliance, audit traceability, or record quality.
AI models stratify patient populations using phenotype markers, genetic signatures, imaging parameters, historical treatment outcomes, and risk scoring, enabling tailored therapeutic decisions instead of population-wide assumptions. Improves treatment response probability, reduces trial-and-error therapy cycles, enables earlier identification of responders/non-responders, and improves patient outcome quality.
AI forecasts demand patterns, case mix complexity, resource availability, procedure duration expectations, and operating constraints, allowing dynamic load balancing across OR blocks, ICU beds, nursing resources, and care units. Improves capacity utilization, reduces wait time bottlenecks, increases throughput per unit resource, and strengthens operating margin resilience.
AI automatically classifies, validates, and anomaly-checks claims based on structured/unstructured evidence and historical patterns. Improves adjudication speed, reduces manual validation effort, increases fraud hit-rate, and reinforces financial auditability across payers, enabling faster and more consistent claim cycle execution with stronger regulatory alignment.
Unlock evidence-driven decision cycles with governed data pipelines and interoperable architectures.
"The team absolutely responded to our needs."
"The most impressive part about the company is its people."
"The team delivered on time and was responsive to our needs."
"Their ability to adapt to changes and proactively manage potential roadblocks is commendable."
Our healthcare IT services are built on a robust and up-to-date technology stack, not only for its performance but also for its proven ability to meet the high-security, scalability, and intelligence needs of the healthcare industry. We do not merely employ technology but make it active to address your most pressing issues.
We develop intuitive and responsive UI that works perfectly on any device, creating smooth clinical processes for your personnel and patients.
React.js
React Native
Vue.js
Flutter
We build robust, safe, and high-performance server-side applications. It is the engine that can regularly work with great loads of patient data and make your critical systems fast, stable, and secure
Node.js
Python
PHP
We have a combination of both relational and NoSQL databases to store data with accuracy and flexibility.
PostgreSQL
MongoDB
Firebase
We deploy on high-quality premises, HIPAA-compliant cloud infrastructure, and auto-deploy to ensure massive scalability and 99.99% uptime.
AWS
GCP
Azure
Docker
Kubernetes
We deeply integrate the best business tools into your platform. This simplifies patient payment and streamlines the digital patient experience.
Stripe
PayPal
Mailchimp
Google Analytics
We use powerful AI constructs to analyze images, effectively roboticizing the initial stage of processing medical images (X-rays, scans). This allows for earlier disease detection and drives telehealth diagnostics.
Google Cloud Vision
AWS
Rekognition
e use the power of natural language processing to read and write human language. We apply it to parse structured information from unstructured clinical documentation, enabling smart chatbots to provide 24/7 patient support.
spaCy
GPT
We create and deploy custom machine models trained on your data. This will enable you to transition from reactive to proactive care by identifying vulnerable groups of patients.
Machine Learning Models
We automate office processes with high volume and repetition. This removes human mistakes in processes and enables concentration on high-value, patient-facing processes.
UiPath
Automation Anywhere
One of the most important decisions we can make as an organization is choosing our digital health partner. It is not merely a vendor relationship but a strategic alliance that will contribute to your clinical efficacy, operational efficiency, and patient interaction even in the coming years. This is the reason why we are preferred by the industry leaders.
01
Our intelligent clinical ecosystems are secure, compliant, and outcome-oriented from day one.
Our methodology delivers:
02
The kind of experience we have is not generic; it is developed within the context of the intricacies of the healthcare environment. We are providing high-impact services of:
03
The only company that can support you in the whole digital health lifecycle, from initial strategy to long-term optimization and scale.
04
Trust is a prerequisite in healthcare. Our security and compliance are integrated into everything we are engineering.
As a leading healthcare IT services company, we not only develop healthcare applications but also create compliant, secure, and scalable digital ecosystems for the industry. Our 3-pillar framework has enabled us to turn your vision into a successful market-leading digital health platform.
Our framework is the proven blueprint for transforming your vision into a compliant, scalable, and impactful reality. Let’s move from concept to cornerstone of modern healthcare.
We dislodge key healthcare data silos by creating Healthcare IT solutions built on the best technology. With our alliances, your platform is safe, smart, and future-oriented connected care.
MongoDB
Let’s convert healthcare complexity into measurable value. Modernizing platforms, unifying data, or scaling AI, RBM enables intelligent clinical and research performance, not incremental fixes.
We partner with healthcare and life sciences enterprises to design and operationalize digital ecosystems that improve care quality, resilience, and outcome integrity.
Yes, we integrate with Epic, Cerner, Allscripts, and custom legacy systems using HL7 / FHIR-aligned interoperability scaffolding. Integration is engineered without destabilizing existing clinical workflows or documentation fidelity.
Yes, we deploy and operate enterprise workloads across AWS, Azure, and GCP. Architectures incorporate resilience engineering, governed identity, encrypted data paths, and workload elasticity aligned to clinical operating constraints.
GenAI and predictive models are applied within governance frameworks, bias controls, explainability constraints, and audit traceability. Our mandate is augmentation, not algorithmic replacement of clinical judgement or scientific authority.
No, AI elevates clinical efficiency, decision confidence, coding quality, and insight synthesis. It reduces low-value workload, not clinical or research expertise. Physicians and domain specialists remain primary decision makers.
Transformation is staged, progressive, and dependency-aware. We minimize operational disruption through phased migration, decoupled interfaces, and concurrent reliability monitoring, so continuity is protected while capability expands.
No, patient-facing touchpoints remain accessible throughout the transition. We architect cutover paths designed to preserve continuity so patient experience is protected while new capability layers activate behind the scenes.
Yes, architectures are aligned to HIPAA, GDPR, HITRUST, and regional data sovereignty constraints. Data path enforcement and zero-trust identity models ensure cross-geography compliance consistency.
Yes, we enable AI-based cohort stratification, eligibility inference, and patient-matching pipelines, improving recruitment velocity and reducing screening waste across therapeutic areas and research programs.
Observability frameworks, telemetry, anomaly detection, and incident automation are standard, enabling proactive reliability assurance and reduced resolution cycles as platforms evolve under real-world demand patterns.
Zero-trust identity enforcement is the default, not an add-on, covering credential governance, encryption, access boundary enforcement, and secure API policy alignment across platform layers.
No, continuous optimization is included. We maintain SLA/SLO alignment, cost-performance tuning, model drift surveillance, release cadence governance, and progressive capability expansion as an operational discipline, not one-time delivery.
Vision. Expertise. Results.
Our team guarantees exceptional results.
We've streamlined processes to maximize efficiency.
We are the trusted choice for repeat clients worldwide.
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