Healthcare intelligence that
predicts, reasons, and proves itself.
MahCare predicts what is coming, reasons about why, challenges its own conclusions before they ever reach a clinician, and leaves evidence anyone can verify — across ambulatory, community, home, pharmacy-linked, and hybrid care. Monitoring is a feature. This is the category above it.
What is MahCare
A healthcare intelligence platform. Not a monitoring widget or an EHR wrapper.
MahCare sits between clinical record systems and the frontline teams who deliver care, and turns the stream of events into reasoning, foresight, and action. In organisations with multiple source systems it becomes the intelligence and coordination layer. In lighter-weight settings it is the primary system of record for care operations while integrating with prescribing, diagnostics, finance, and external records.
The incumbents in digital care are monitoring companies with dashboards and risk scores. MahCare treats monitoring as one feature of a larger system — one that predicts, explains cause, checks its own work, and proves every decision. Not a workflow tool. A reasoning platform.
Care execution layer
Turns referrals, plans, alerts, and visits into managed work — prioritised by predicted risk, not just queue order. Reduces missed handoffs, overdue work, and operational chaos.
Patient engagement layer
Runs patient, proxy, and caregiver messaging across app, SMS, email, voice, and letter, personalised to each patient's state. Improves adherence and attendance.
AI workforce layer
A governed roster of AI workers for intake, triage, drafting, outreach, and coding — every consequential output challenged and risk-checked before it is shown or acted on.
Reasoning & prediction layer
Causal models, calibrated forecasts, and what-if simulation that explain why something is likely and what the next-best action is — with honest uncertainty on every number.
Evidence & compliance layer
Verifiable provenance for every write, decision, and AI output. Audit trails, DSAR packages, access reviews, and investigation packs that an external auditor can check.
Developer & marketplace layer
APIs, SDKs, event streams, configuration packs, and partner apps. Expands distribution and product stickiness without forking the core.
What makes it different
Six things monitoring platforms cannot do.
These are not add-ons bolted onto a dashboard. They are the reasoning substrate of the platform — the reason a recommendation is trustworthy enough to act on.
Causal reasoning
Recommendations are grounded in an estimable cause-and-effect relationship, not a correlation. When an effect cannot be established, MahCare says so instead of guessing.
Honest uncertainty
Every risk score arrives with a calibrated confidence band, validated against real outcomes. No bare probability is ever shown on its own.
Self-checking AI
Every consequential AI output is argued against by independent critics and passed through a risk gate before it is shown or executed. Weak or unsafe outputs are blocked or sent to review.
Care simulation
Roll the future forward before you act — "what happens if we escalate now versus wait" — and compare the chosen action against the next-best alternatives in real time.
Adaptive autonomy
An AI worker earns more independence as it proves itself, and loses it the moment calibration drifts or incidents rise. Autonomy is a dial that responds to trust, never a fixed setting.
Verifiable evidence
Every decision carries cryptographically anchored, externally verifiable provenance — the inputs, model and prompt versions, and reviewer decisions behind it. Proof, not assertion.
Seven pillars, one platform
Every pillar a first-class product surface.
These are not modules bolted together. Each pillar is engineered as a primary surface with its own deployment model, data guarantees, and commercial uplift path.
Command Centre
Unified operational command surface for work, risk, capacity, patient state, and branch performance — with a live forecast and the reasoning behind every alert.
Care Graph
Longitudinal, causally-aware graph connecting patients, episodes, tasks, messages, and outcomes — the substrate that lets the platform reason about cause and effect.
AI Workforce
Governed AI worker runtime. Twelve task-specific agents with adaptive autonomy, model routing, self-checking, and human-review gates.
Evidence Ledger
Verifiable audit, evidence, policy, and review fabric across every workflow and AI decision — externally checkable, not just internally logged.
Studio
Low-code tooling for pathways, forms, roles, policies, automations, prompts, and integrations.
Marketplace
App, connector, template, and pathway distribution channel. Partners amplify distribution and extensibility.
Benchmark Network
Opt-in, privacy-preserving analytics across tenants for operational, engagement, and pathway benchmarks.
Integrations
FHIR-aligned canonical model, OpenAPI 3.1 contracts, SSO, SCIM, messaging, and payer adapters.
A governed AI workforce
Twelve AI workers.
Every one checks its own work.
Every AI worker records model, prompt version, sources, reviewer, and outcome. Every consequential output is argued against and risk-checked before it is shown. Clinically influential outputs require human approval. Medication plans are untouchable. Evidence is the default, not the exception.
Referral Intake Agent
Reads inbound referrals, extracts facts, flags missing items, suggests triage, creates tasks.
Patient Concierge Agent
Handles booking guidance, reminders, and low-risk administrative interactions.
Documentation Agent
Drafts notes, visit summaries, transfer summaries, and discharge packs.
Care Coordination Agent
Watches open pathways, overdue tasks, and breach risks. Proposes actions.
Medication Adherence Agent
Monitors refill gaps, missed doses, reported issues, and outreach effectiveness.
Prior-Auth Agent
Assembles documents, maps checklists, drafts rationale, tracks submission status.
Quality Auditor Agent
Reviews documentation completeness, missing evidence, policy deviations, audit gaps.
Coding & Revenue Agent
Suggests codes, completeness improvements, package mapping, leakage flags.
Inbox Triage Agent
Clusters, prioritises, and routes tasks, messages, and alerts.
Executive Analyst Agent
Generates weekly performance narratives, anomaly explanations, board commentary.
No AI autonomously prescribes, discontinues, or silently writes to the legal clinical record. Clinically influential outputs require human review. This is a hard product safety boundary, not a toggle.
Who uses MahCare
Built for operators with coordination burden and compliance pressure.
Community and home-care operators
High coordination burden. Medication follow-up complexity. Multi-site visibility need. Compliance pressure from CQC, DTAC, DSPT.
Private clinic groups
Growth pressure. Patient communication at scale. No-show reduction. Pathway standardisation. Private billing handoff and quote management.
Ambulatory specialty groups
Scheduling friction. Prior authorisation burden. Documentation overhead. Patient follow-up leakage. Value-based care reporting needs.
Care management organisations
Longitudinal coordination. Risk stratification with calibrated uncertainty. Outreach burden. ROI sensitivity. Strong fit for Care Graph and predictive outreach.
Pharmacy-linked services
Adherence monitoring. Refill coordination. Patient communications. Task routing. Evidence and audit for dispensing workflows.
Digital-first healthtech
Operators building new models that need clinical safety governance, audit infrastructure, and multi-channel patient engagement out of the box.
Measurable journeys
Eight journeys. Each with a hard outcome metric.
MahCare is judged by hard metrics. Every journey traces to source events. Every source event is on the ledger. Every metric is exportable and independently verifiable.
Referral to first contact
Intake, eligibility, triage, scheduling, reminders, handoff, escalation.
Care-plan execution
Versioned plans, task emission, reminders, observations, reviews, closure summaries.
Medication coordination
Reconciliation, refill reminders, omission capture, pharmacy follow-up, adherence interventions.
Observation escalation
Threshold checks, alert routing, acknowledgement, action tasks, closure evidence.
Visit execution
Scheduling, mobile offline checklist, capture, sync, follow-up tasks, documents.
Patient engagement loop
Templates, channel routing, reminder sequences, reply triage, proxy handling.
Prior auth & revenue prep
Evidence assembly, checklist completion, tasking, payer communication, outcome tracking.
Compliance response
DSAR, access review, incident pack, legal hold, export approval.
Deployment-ready
One core. Two country packs. Zero forks.
United Kingdom
Built for NHS-adjacent reality
NHS login and NHS Notify adapters. DTAC and DSPT workflow support. Clinical safety workflow support (requires customer-side Clinical Safety Officer engagement). dm+d medication terminology. GDPR and DPA 2018 operating workflows.
United States
Ambulatory & value-based care
Designed to HIPAA Security Rule principles. US Core and SMART on FHIR adapter patterns. Prior-authorization workflow design. NPI provider identifier support. RxNorm and NDC medication terminology.
Engineering principles
Evidence over assertion. Always.
Causal and evidenced by default
Recommendations are tied to an estimable cause, and every write, decision, and AI output is committed to the Evidence Ledger — independently reviewable, cryptographically anchored, exportable as verifiable evidence on demand.
Self-checking, human where it matters
Every consequential AI output is challenged and risk-gated before it acts. Clinically influential outputs require review. Medication plans are immutable without confirmation. Break-glass access creates visible review items. No silent mutations.
Configurable without forking
Tenants configure agent autonomy, review thresholds, model providers, retention, and market-specific policies through Studio. Enterprise control without engineering intervention.
Design partner programme open
See care that predicts, reasons, and proves itself.
We are onboarding design partners across Europe and the USA. Clinicians, operators, and founders welcome. Bring the hardest workflow you have — we want to see it run on MahCare.