Your AI Twin trained on your protocols, your patient data, your clinical methodology — delivering expert-level reasoning with full source traceability. No hallucination by design.
Why Generic AI Falls Short in Healthcare
Hospitals and clinical teams generate thousands of documents daily — protocols, patient records, research papers, regulatory updates. Generic AI tools treat this complexity as a search problem. Healthcare needs reasoning.
Patient histories span years of visits, lab results, imaging, prescriptions, and specialist notes — scattered across departments and systems. Generic AI retrieves fragments. Clinicians need the complete picture, synthesized.
ESC guidelines, WHO recommendations, institutional protocols — they update faster than any team can track. A missed update means outdated care. Generic AI doesn't know which version applies to your institution.
In healthcare, a fabricated drug interaction or an invented dosage isn't just wrong — it's potentially lethal. Generic AI models have no mechanism to distinguish verified clinical data from generated text. There is zero margin for error.
When a senior doctor retires, decades of clinical intuition — pattern recognition across thousands of cases, nuanced decision-making — disappears overnight. No generic tool captures tacit medical expertise.
Healthcare doesn't need another search engine with a chat interface.
It needs an AI that reasons like a clinician — trained on your protocols, grounded in your data, verified by design.
Four Layers of Intelligence, Built for Clinical Precision
Define the domain, role, tone, language, and citation rules. Your Twin becomes a cardiologist, an oncologist, a clinical pharmacist — with the formality and precision your institution expects.
Upload your institutional protocols, clinical guidelines, patient case histories, formulary databases, and research papers. The Twin knows what's in the knowledge base — and critically, knows what it doesn't know.
The Twin learns your documentation style — your vocabulary, your report structure, your way of presenting findings. Discharge summaries, referral letters, and case notes read as if you wrote them.
This is what makes PRISM fundamentally different. The Twin doesn't just find information — it cross-references patient history against current guidelines, recognizes patterns across hundreds of cases, and proactively flags risks you haven't considered.
Single-Tenant Use Cases
Even a single department or practice benefits from PRISM's reasoning capabilities. No enterprise deployment required — just your knowledge, your protocols, your Twin.
The Twin cross-references patient presentation against your institutional protocols, current guidelines, and historical case outcomes — delivering ranked recommendations with evidence grading.
Synthesize years of visits, lab trends, imaging results, and specialist consultations into a coherent clinical narrative — identifying patterns invisible in fragmented records.
Beyond standard interaction databases: the Twin checks proposed medications against the patient's complete history, allergies, institutional formulary, and current evidence — including contraindications specific to your patient population.
Analyze hundreds of papers against your research focus. The Twin identifies methodology gaps, conflicting findings, and emerging trends — structured in your academic writing style.
Generate discharge summaries, referral letters, and clinical notes in your personal documentation style — maintaining your structure, vocabulary, and level of detail. Every output review-ready.
Capture decades of senior clinical expertise — diagnostic intuitions, treatment preferences, case-specific reasoning — and make it accessible to junior staff, residents, and new team members 24/7.
When Multiple Twins Work Together
In larger healthcare organizations, PRISM's true power emerges: specialized Twins in different departments share reasoning across boundaries — catching risks, surfacing insights, and coordinating care that siloed systems miss.
Drug interaction alerts cross-referenced with the patient's complete clinical history, not just a static database lookup. The Pharmacy Twin's formulary expertise combines with the Clinical Twin's patient context for truly personalized medication safety.
Detects new prescription for flecainide in post-MI patient
Patient's MI history + structural heart disease flagged from cardiology records
Contraindication alert with alternative antiarrhythmic options from formulary
Impact: Prevents a potentially life-threatening prescription error that a standard drug interaction database — without access to the patient's full cardiac history — would not have caught.
The Research Twin understands active trial protocols and eligibility criteria. The Clinical Twin knows the current patient population. Together, they automatically screen patients for trial eligibility — a process that traditionally takes weeks per study.
New Phase III trial for PCSK9 inhibitor in familial hypercholesterolemia — loads eligibility criteria
Screens 2,400 cardiology patients against inclusion/exclusion criteria including lab values and comorbidities
Ranked list of 18 eligible candidates with match scores and scheduling recommendations
Impact: Trial recruitment timeline reduced from 6 weeks to 48 hours. Higher enrollment quality. No eligible patient overlooked due to departmental silos.
When HIPAA regulations update or a new GDPR interpretation emerges, the Compliance Twin doesn't just file the change — it triggers an impact analysis across every department Twin, identifying which protocols, workflows, and data practices need review.
New GDPR guidance on clinical data anonymization published
Scans all departmental Twins for data handling procedures that reference patient identifiers
Generates per-department compliance gap reports with specific protocol sections to update
Impact: Regulatory changes assessed across the entire organization in hours, not months. Complete audit trail. Zero departments overlooked.
Built for Healthcare's Strictest Requirements
Patient data never leaves your infrastructure. PRISM's self-hosted architecture ensures Protected Health Information (PHI) is processed locally, with access controls that meet HIPAA's technical safeguard requirements.
Full compliance with European data protection regulations. Patient consent management, data minimization, and the right to erasure are built into PRISM's architecture — not bolted on as an afterthought.
PRISM supports the documentation, traceability, and audit requirements of clinical research environments — from investigator-initiated studies to multi-center Phase III trials.
Every interaction with PRISM is logged, traceable, and attributable. Know exactly what was asked, what sources were consulted, what reasoning was applied, and what output was generated — at any point in time.
See the Difference Between Retrieval and Clinical Reasoning
"The patient has documented ACE inhibitor intolerance. What's the best alternative for heart failure management given the new ESC guidelines?"
"ACE inhibitor alternatives for heart failure include ARBs (such as valsartan, losartan, or candesartan), ARNI (sacubitril/valsartan), or in some cases, hydralazine plus isosorbide dinitrate."
"The ESC guidelines recommend ARBs as an alternative in patients who cannot tolerate ACE inhibitors. Discuss options with the treating physician."
❌ No knowledge of this specific patient's history
❌ No awareness of institutional formulary or protocols
❌ No cross-reference with patient's other medications
❌ Generic textbook answer — any medical student could provide this
❌ No source traceability — which ESC guideline section?
Patient history analyzed: 3 documented episodes of ACE inhibitor intolerance (angioedema in 2023, persistent cough with enalapril and ramipril in 2024).
Source: Patient file — encounters #2847, #3102, #3341Guideline cross-reference: ESC 2025 Heart Failure Guidelines, Section 11.3 — ARBs recommended as first-line alternative (Evidence Level B).
Source: ESC 2025 HF Guidelines, uploaded Jan 2025Physician preference detected: Dr. Rossi's prescribing history shows preference for valsartan-based regimens in similar cases (14 of 18 ARB prescriptions).
Source: Prescribing pattern analysis — Dr. Rossi's patient cohortPattern recognition: 47 similar cases in department — patients with angioedema history showed 92% tolerability with valsartan vs 78% with candesartan.
Source: Departmental outcomes data — 2022-2025Recommendation: Switch to Valsartan 160mg with potassium monitoring at 2-week intervals. Flag for renal function check at 4 weeks given concurrent spironolactone.
Source: Institutional formulary + monitoring protocol v2.33 encounters referenced, with dates, prescribing physician, and adverse event documentation linked.
ESC 2025 Heart Failure Guidelines — specific section and evidence level cited. Document upload verified Jan 2025.
47 comparable cases analyzed from department database. Formulary and monitoring protocol versions specified.
See how PRISM's reasoning engine transforms your clinical protocols, patient data, and institutional expertise into an AI that thinks like your best specialist — deployed on your infrastructure.
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