Marketo to HubSpot Migration Guide 2026: Zero Data Loss
Complete Marketo to HubSpot migration guide for 2026. Field mapping, workflow rebuild, lead scoring, Salesforc
We help hospitals, health systems, digital health companies, and life sciences organisations build the clinical, operational, and data technology that improves patient outcomes, reduces clinician burden, and meets HIPAA, GDPR, and clinical governance requirements without compromise. From EHR integration and telehealth through population health analytics and revenue cycle automation — deep healthcare domain expertise, zero compliance incidents.
Healthcare technology challenges are not isolated problems — they follow patients through every stage of their care journey. Understanding where failure occurs is the first step to designing solutions that work.
Clinical operations, patient engagement, health data, and infrastructure — the four capability areas where we deliver measurable outcomes for healthcare organisations.
We design and implement EHR/EMR integration architectures — connecting Epic, Cerner, MEDITECH, and Athenahealth to clinical decision support systems, lab platforms, imaging, and pharmacy using HL7 FHIR, HL7 v2, and DICOM standards — giving clinicians a unified patient view at the point of care.
We build telehealth and remote patient monitoring platforms — video consultation infrastructure, RPM device integration, patient portal, asynchronous clinical messaging, and the EHR integration that makes remote care documentation indistinguishable from in-person documentation.
We design and implement patient portals and digital access programmes — appointment booking, test results, care plans, prescription renewal, and clinical messaging — integrated with EHR and PAS systems so patient interactions update clinical records in real time without manual transcription.
We implement healthcare CRM programmes — Salesforce Health Cloud, Microsoft Dynamics Healthcare — managing patient acquisition, care gap identification, chronic disease management outreach, and post-discharge engagement automation, personalised using clinical and behavioural data.
We build population health management and clinical analytics capabilities — FHIR data lakes, clinical outcome dashboards, readmission risk models, chronic disease registry analytics, and quality measure reporting (HEDIS, eCQMs) — that give clinical and operations leadership the intelligence to improve care outcomes at scale.
We design and deploy AI capabilities for healthcare — clinical deterioration early warning systems, diagnostic imaging AI integration, NLP-based clinical note mining, drug interaction alerts, and sepsis prediction — integrated into clinical workflows rather than siloed as standalone tools.
We design healthcare-grade compliance architecture — HIPAA Technical Safeguards (encryption, access control, audit logging), GDPR consent management for patient data, data residency controls, third-party BAA management, and the operational policies and security monitoring that keep PHI protected.
We automate revenue cycle operations — eligibility verification, prior authorisation, clinical coding support (ICD-10/CPT), claim submission and tracking, denial management, and payment posting — reducing days in accounts receivable and improving clean claim rate without adding headcount.
Healthcare technology requirements vary significantly by care setting. Our teams have domain experience across all four — building solutions shaped by clinical workflow, not just technology capability.
Hospital environments require technology that fits around clinical workflow — not the reverse. We implement EHR integrations, clinical decision support, bed management systems, and command centre analytics that reduce time-to-information for clinicians and give operations teams real-time visibility across the hospital enterprise.
Virtual care has shifted from a pandemic necessity to a permanent part of healthcare delivery. We build telehealth platforms and remote patient monitoring programmes that deliver clinical quality at scale — integrated with EHR, covered by HIPAA, and designed for patients who are not comfortable with complex technology.
Primary care and community health organisations need technology that scales across distributed networks of clinicians — practice management, population health management, care coordination, and the interoperability infrastructure that connects community care to acute settings.
Pharmaceutical and life sciences organisations need technology across the drug development and commercial lifecycle — from clinical trial data management through regulatory submission, pharmacovigilance, medical affairs engagement, and commercial CRM programmes.
Healthcare interoperability requires expertise in clinical data standards — not just software engineering. Every integration we build uses the standard appropriate to the use case, implemented to production quality, tested against real clinical data.
Measurable improvements in clinical workflow, patient experience, and operational efficiency — backed by zero HIPAA/GDPR compliance incidents.
Clinical staff typically spend 35-55% of their working time on documentation — time taken directly from patient care. We redesign the EHR workflow, implement voice-to-text clinical documentation, and deploy AI-assisted note generation that reduces documentation burden without compromising clinical record quality.
Healthcare data breaches cost an average of $10.9 million per incident — and clinical data breaches create patient safety risks beyond the financial penalty. We architect HIPAA Technical Safeguards into every system from the ground up, not as an audit checklist before go-live. PHI encryption, access control, audit logging, and BAA management are requirements, not recommendations.
Healthcare revenue cycle problems — coding errors, missing authorisations, eligibility issues — typically cause 15-25% claim denial rates that cost hospitals 3-5% of net revenue. We automate the root causes: eligibility verification at scheduling, prior authorisation workflow, coding accuracy improvement, and denial prevention analytics that identify patterns before claims are filed.
Feedback from CMOs, CIOs, and clinical informaticists who have partnered with Rackwave Technologies to transform healthcare delivery.
We had 14 clinical systems that did not talk to each other — clinicians were logging into multiple systems mid-consultation to piece together a patient's history. Rackwave built a FHIR-based integration layer connecting Epic, two lab systems, PACS, and pharmacy in six months. Clinicians now have a unified patient timeline in Epic. The time savings in our ED alone justified the entire programme cost within eight months. More importantly, our nurses report that they now feel they are giving care, not doing data entry.
Our telehealth platform handled 500,000 consultations in the first year. Rackwave built the entire infrastructure in 14 weeks — HIPAA-compliant video, asynchronous messaging, RPM device ingestion, and the EHR integration that means clinicians never have to leave Epic to document a virtual visit. We had zero HIPAA incidents and 99.97% uptime. The platform has been audited three times by our compliance team and passed without a finding each time.
Our denial rate was 22% — causing significant revenue leakage and a stretched billing team processing denials manually. Rackwave automated eligibility verification, implemented ICD-10 coding accuracy tools, and built denial pattern analytics that identified the top five root causes. Within six months, our clean claim rate went from 74% to 91%. The billing team now focuses on complex cases rather than correctable errors, and net revenue improved by $2.3 million in the first year.
“Rackwave Technologies has significantly improved our marketing performance while providing reliable cloud services. We’ve been using their solutions for a while now, and the experience has been seamless, scalable, and results-driven.”
David Larry
Founder & CEOCommon questions about healthcare technology services with Rackwave Technologies.
HIPAA compliance is an architectural requirement, not a final-step checklist. Every system we build for a healthcare client starts with a HIPAA risk analysis — identifying where PHI flows, who can access it, and what controls are required. We implement the three categories of HIPAA Technical Safeguards: access controls (role-based, unique user identification, automatic logoff), audit controls (logging all PHI access and modifications), and transmission security (TLS encryption in transit). We also implement encryption at rest for all PHI storage. We execute Business Associate Agreements before any work begins, and all our staff with PHI access complete annual HIPAA training. We have maintained a zero-incident record across 70+ healthcare clients.
Yes. We have integration experience with Epic (using Epic APIs, SMART on FHIR, and HL7 interfaces), Cerner (CDS Hooks, Cerner Millennium APIs, and HL7 v2 interfaces), and MEDITECH (REST APIs and HL7 v2). The specific integration approach depends on what the EHR vendor supports and what your organisation has licensed — some Epic customers have SMART on FHIR enabled; others work through HL7 v2 interfaces. We conduct a technical scoping session with your EHR team before committing to an integration architecture to ensure we are using the approach that will work reliably in your specific environment.
HL7 FHIR (Fast Healthcare Interoperability Resources, pronounced "fire") is the modern standard for healthcare data exchange. It defines a RESTful API and a set of data resources (Patient, Observation, Condition, Medication, etc.) that allow healthcare systems to share clinical data in a standardised format. FHIR matters because it makes healthcare data accessible in a structured, queryable format — enabling patient portals, analytics, AI applications, and payer-provider data sharing that was previously impossible without expensive custom interfaces. In the US, CMS and ONC regulations now require FHIR-based APIs for patient data access. In the UK, the NHS App and national care records programmes use FHIR. We build FHIR R4-compliant implementations and have experience with US Core and UK Core conformance profiles.
Yes. We build telehealth platforms from the ground up — HIPAA-compliant video infrastructure (using Twilio, Daily.co, or AWS Chime as the video layer), asynchronous clinical messaging, appointment booking, patient intake forms, and the EHR integration that ensures virtual visit documentation lands in the correct clinical record without manual re-entry. We also integrate remote patient monitoring devices — glucose monitors, blood pressure cuffs, continuous glucose monitors, pulse oximeters — into the telehealth platform and EHR. Every telehealth platform we build is tested for HIPAA compliance before launch and includes audit logging for all video session access.
Healthcare data is special category data under GDPR and requires explicit consent or a legal basis under Article 9(2) for processing. We design healthcare systems in Europe to meet both GDPR and any applicable national health data laws (the UK DPA 2018, the French Loi Informatique et Libertés, the German BDSG, etc.). Our GDPR compliance architecture for healthcare includes: lawful basis identification for each processing purpose, privacy notice and consent capture where required, Data Protection Impact Assessment (DPIA) for high-risk processing, data subject rights fulfilment (access, rectification, erasure where legally permissible), data retention enforcement, and international transfer controls for any cloud services processing EU patient data outside the EEA.
Yes. Population health management requires three capabilities: a clinical data infrastructure (FHIR data lake, EHR data extraction, claims data integration), analytics models (chronic disease registries, readmission risk, care gap identification), and workflow tools (care manager dashboards, outreach automation, closed-loop referral tracking). We build all three. The data infrastructure is typically built on a cloud data warehouse (Snowflake, BigQuery, or Redshift) with FHIR-native data models. The analytics layer uses dbt for data modelling and Tableau, Power BI, or Looker for visualisation. The workflow layer connects back to the EHR and care coordination platform so analytics findings trigger actionable workflows rather than generating reports that no one acts on.