Human Experience Intelligence Platform
proHX is the intelligence engine between your data and your decisions — connecting patient, workforce, and operational signals into the clarity healthcare leaders need.
Ten years building the case for experience as a system-level driver, from IBM and PwC boardrooms into healthcare.
Physician and healthcare executive working across clinical care, insurance, pharma, and health tech. Advisor to the UN and WEF.
The core problem is not a lack of data — it's the inability to translate it into aligned action. Experience does not fail suddenly. It erodes, quietly, across journeys and segments, weeks before outcomes fail.
Patient, workforce, and operational data live in disconnected dashboards, reviewed in separate forums by separate teams.
Systems run 10–20+ surveys annually but response rates fall to 20–30%, with declining trust that feedback leads to action.
Different teams use different metrics, creating competing narratives about the same underlying problem.
Without a clear intelligence layer, leaders default to the loudest problems — not the most important ones.
Patient experience and workforce experience are two sides of the same system. Layer operational data over both, patient flow, length of stay, readmissions, turnover, and the business case for change writes itself. Experience isn't the soft metric. It's the leading indicator.
This isn't another point solution. proHX starts at the signal and lands in the boardroom, a single intelligence layer between the systems you already run and the decisions your leadership has to make.
Ingests signals continuously, constructs journeys automatically, overlays patient, workforce, and operational data — then prioritises what matters now.
Contextual outreach and feedback capture across the patient journey — embedded, QR, and multi-channel. Right signal, right moment.
Safe, flexible, and anonymous staff channels — capturing frontline pressure, barriers, and improvement signals before they become incidents.
Embedded AI agent that turns intelligence into reports, journeys, personas, stakeholder materials, and business cases. Makes the platform actionable.
proHX detects pressure signals from operational and clinical data, then opens a safe, anonymous channel for frontline staff to respond — in 30 seconds, on their own device.
proHX reconstructs each patient's visit from signals your systems already hold, then opens a simple, personal channel for feedback at any point along the way. No generic surveys. No guesswork. Just the right question, at the right moment.
One worked example, Ward 4B, threading through seven beats of the proHX loop. From signal arriving, through investigation and decision, to the loop closing.
CX Copilot turns a confirmed pattern into a governance-ready brief, drafted in seconds, scoped to the right authority tier, routed to a named owner. Not a chatbot. A governance instrument.
By turning fragmented signals into ranked, routed action, proHX shortens the distance between insight and impact across the operating priorities health systems already measure.
Transitions between acute, community and home are where signal, and patients, get lost.
Detects discharge-to-readmission patterns across post-discharge surveys, EHR events, and community handover signals.
Outcome and cost data sit in separate dashboards from the experience signals that explain them.
Correlates cost-per-patient, LOS, and readmission with workforce and patient experience signals on the same chain.
Portal, EHR, and app investments are evaluated on usage, not on whether they reduce friction in care.
Reads adoption signals against experience and workforce outcomes to surface where digital actually moves the needle.
Capacity, throughput, and bed turnover are managed reactively, in operational silos.
Joins throughput, bed-event, and workforce-pressure signals to flag utilisation drift before it becomes failure.
Why referrals stall, and why patients leave, is rarely traceable to a system cause.
Connects referral funnel data with patient experience, access, and clinician engagement signals.
Regulators want evidence-led, cross-domain accountability. Most systems still assemble it from scratch each cycle.
Maintains a continuous, audit-grade chain of signal, decision, and outcome, ready for the next CQC, JCI, or board cycle.
Pilots of ambient AI, telemedicine, and new care models run without a baseline for what actually changed in the human system.
Provides the before/after signal layer that lets innovation teams measure impact across patient and workforce experience, not just adoption metrics.
Three users. Three different relationships with the system. One platform that changes what each of them can do.
Spends most of her time producing reports, not acting on them
Can't connect what patients say to what operations teams see
Knowing something is wrong before she can prove it clearly enough to act
KPIs tell him what broke. Nothing tells him what's about to break.
Experience data and operational data reviewed in completely separate meetings
Making resource decisions that look rational on paper but feel wrong in practice
Finds out about patient experience problems through complaints — always too late
Staff tell her everything face to face. None of it makes it into any system.
Whether declining staff morale on Ward B is connected to rising patient dissatisfaction on the same ward
Healthcare IT estates are not clean. proHX is designed for messy environments — not ideal ones. Here is the honest answer to every technical objection.
Connects read-only via API where available, structured data export or secure file transfer where APIs don't. FHIR R4 and HL7 v2 supported for EHR event ingestion. No write access. No workflow disruption. If the integration breaks, source systems continue normally.
Supports regional data residency requirements including sovereign cloud deployment. Organisations define exactly which data leaves their environment, in what form, under what conditions. Specified contractually before any integration begins.
Built to detect patterns across journeys and segments, not to build profiles of individual patients. GDPR, HIPAA, and local frameworks supported by design. Data minimisation applied at ingestion. Workforce signals have aggregation thresholds, so no individual response is identifiable.
Role-based access throughout. All data encrypted in transit and at rest. SSO and MFA standard. Audit logging on all data access events. Infrastructure aligned to ISO 27001 and SOC 2 standards, with formal certification on the security roadmap.
CX Copilot operates on processed intelligence only, never raw patient data. No customer data used for model training. Every AI output is evidence-cited and traceable to its source signals. Human-in-the-loop by design, with full audit trail on every brief generated.
Week 1-2: signal landscape mapping and integration scoping. Week 3-4: API connections established, data flowing. Week 5-6: first intelligence view validated with the team. Week 7-8: first governance brief produced and reviewed with leadership. After 8 weeks, weekly intelligence updates run continuously.
proHX is being developed against three named milestones: MVP, Scale, Growth. Each is scoped, evidence-led, and tied to a real path to enterprise deployment.
What's underway right now.
What unlocks once MVP lands.
What proHX becomes at scale.
Start with the intelligence you already have. Expand from there.