The Scienza Health real-world dataset is a proprietary clinical data lake of 12.3 million senior care patients across 14,613 facilities, with 27 billion clinical records spanning 10+ years longitudinally. It includes a 3-million-patient neurodegenerative cohort and 2,500+ speech biomarkers per encounter, and powers Proactive Decision Orders through real-time cohort benchmarking on the GIA® platform.
27 Billion Clinical Records.
One Powerful Data Lake.
Real-world evidence from 12.3 million senior care patients across 14,613 facilities — the proprietary dataset behind GIA® AI Co-Clinician.
Key Facts
- Patients
- 12.3M
- Facilities
- 14,613
- Records
- 27B
- Years
- 10+
- Biomarkers
- 2,500+
- Brain-health cohort
- 3M
This content is intended for informational purposes and does not constitute medical advice. Citing research does not mean this page or the product has been independently peer reviewed.
For partners evaluating the data layer behind GIA® platform, Proactive Decision Orders, and clinical intelligence. Review our clinical governance framework, peer-reviewed research, and EHR integrations.
Every clinical signal, captured.
Medications, diagnoses, structured assessments, daily care outcomes — longitudinally linked and queryable in sub-second time.
3 Million Neurodegenerative Patients.
One of the largest real-world brain-health cohorts in healthcare — the foundation for speech biomarker validation.
Voice biomarker data — the differentiator.
Scienza Health is the only senior-care data partner with proprietary voice biomarker capture integrated directly into the longitudinal record. Each patient encounter contributes 2,500+ acoustic and linguistic features — the unstructured signal traditional EHR datasets cannot replicate.
- Speech-derived markers from natural patient conversation, captured at point of care
- Validated against peer-reviewed clinical endpoints (academic medical centers, MIT, Mayo, NIH consortium) — see research
- AUC 0.97 for Parkinson’s detection from conversational speech (peer-reviewed)
- Continuously expanding: every screening encounter adds to the longitudinal cohort
Where the signal comes from.
Structured clinical data
- EHR (PointClickCare-integrated)
- MDS — Section C (BIMS), G (functional), N (medications)
- Medication administration records
- Diagnoses (ICD-10), problem lists
- Care plans, ADL/IADL functional measures
- Daily clinical events — transfers, falls, behavioral incidents, vitals
Voice + multimodal data
- 2,500+ speech biomarkers per encounter
- Acoustic features — prosody, pitch, timing, articulation
- Linguistic features — lexical complexity, semantic coherence
- Computer vision signals (consented video encounters)
- Outcome linkage — speech features tied to clinical trajectory
1.3 billion outcomes are not all equal.
Pharma and payor research questions hinge on the right outcomes, captured with the right structure.
- Disease progression — functional decline, BIMS score change, ADL/IADL trajectories
- Adverse events — falls, behavioral incidents, medication-related events, transfers
- Hospital utilization — avoidable transfers, readmissions, length of stay
- Mortality and discharge outcomes
- Treatment response — medication initiation/titration tied to clinical trajectory
How the data powers Proactive Decision Orders.
The dataset isn’t a backend asset that sits in cold storage. It is the engine. Every new patient encounter is benchmarked, in real time, against the millions of like-cohort patients who came before — same demographics, same diagnosis history, same functional baseline, same trajectory shape. Like-cohort outcomes condition the model. The result: highly probable clinical orders before the physician walks in.
- New patient encounter → voice + structured data captured
- Cohort match → like-patients selected from 12.3M longitudinal records
- Outcome distribution → probability surface for next-best clinical actions
- Highest-probability orders surfaced to clinician with reasoning
- Clinician reviews and approves — every action gates through human judgment
- Action and outcome feed back — the loop sharpens
Without longitudinal scale, cohort matching produces noise. Without outcome linkage, probability surfaces are flat. We have both. That is why Proactive Decision Orders work — and why they are difficult to copy.
Without data, there is no AI.
We have the data.
- 10+ years longitudinal — trajectory, not snapshots
- 14,613 facilities across diverse settings — built-in generalizability
- 3M+ neurodegenerative patients — statistical power where it matters
- Continuously updated via native PointClickCare integration — daily, not batches
- Voice biomarker capture at point of care — uncopyable from claims data alone
Real-world evidence, every angle.
Pharma & biotech
Identify trial-eligible cohorts, generate post-market evidence, validate drug-target hypotheses against the largest senior-care neurodegenerative cohort in production today.
Talk to RWE team →Payors & Medicare Advantage
Risk stratification at the patient level, HCC documentation completeness, avoidable-utilization signal years before claims data surfaces it.
Talk to plan-partnerships team →Health systems & SNF operators
Benchmark outcomes against the cohort. Power your screening, documentation, and quality programs with the data layer behind GIA® AI Co-Clinician.
Talk to clinical-partnerships team →Research collaborators
Academic medical centers, NIH-funded consortia, brain-health foundations — partner with us on joint studies, data access, and longitudinal research.
Talk to research team →Enterprise-grade. Research-ready.
- HIPAA compliant. Fully de-identified.
- 5-Layer Governance. AES-256. Human-in-the-Loop.
- Continuously updated — new patient encounters and clinical events flow daily.
- 95% compression: 8TB raw → 400GB queryable. Sub-second query speed via AWS Athena.
- Python, R, and SQL compatible. 37 dimension + 23 fact tables.
- Demographically diverse cohorts; detailed breakdowns available under partnership.
Frequently Asked Questions about the Scienza Health Dataset
What is the scope and depth of the patient data included in your dataset?
The dataset provides a comprehensive, longitudinal view of senior care patients, encompassing 12.3 million individuals across 14,613 facilities. It includes over 27 billion clinical records, spanning more than 10 years, offering deep historical context for patient journeys. This breadth supports robust analysis of long-term health trends, treatment patterns, and outcomes within the senior care population — crucial for understanding disease progression and intervention effectiveness across research and operational initiatives.
How do you ensure patient privacy and compliance with healthcare regulations?
The dataset is fully HIPAA compliant and rigorously de-identified before access. We employ 5-Layer Governance, AES-256 encryption, and Human-in-the-Loop review to safeguard data integrity and prevent unauthorized access. This commitment to privacy allows partners to conduct sensitive research and analysis confidently. For more, see our clinical governance framework at /clinical-governance.
Does your dataset include specific cohorts for brain health conditions, and what is their scale?
Yes — the brain-health cohort includes 3 million patients: 624,000 with Alzheimer's, 420,000 with Parkinson's, 268,000 with vascular dementia, and 1.7 million with other dementias. This specialized cohort provides an unparalleled resource for understanding progression, treatment, and outcomes across brain-health conditions, supporting targeted research and real-world evidence generation. See /research for peer-reviewed validation studies.
How frequently is the dataset updated, and how does it integrate with existing systems?
The dataset is updated daily via native PointClickCare integration, ensuring access to current real-world data from senior care facilities. Data is queryable through AWS Athena and compatible with Python, R, and SQL — fitting into existing analytical environments without retooling. Daily refresh supports timely insights and proactive decision-making. For integration details see /integrations.
What kind of speech biomarker data is available, and how can it be used?
The dataset uniquely includes 2,500+ speech biomarkers per patient encounter. These acoustic and linguistic features capture subtle changes in speech indicative of neurological decline or other health shifts. They support early detection, progression monitoring, and treatment-efficacy assessment in brain-health conditions. This non-invasive signal also powers GIA® AI Co-Clinician and Proactive Decision Orders. Learn more at /speech-biomarkers-explained.
What analytical capabilities does your platform provide for leveraging this dataset?
The platform powers GIA® AI Co-Clinician with real-time cohort benchmarking that identifies patient-specific risks and opportunities. Proactive Decision Orders (PDO) translates these insights into evidence-based recommendations for care teams before the physician walks in. The dataset is AWS Athena queryable and compatible with Python, R, and SQL for advanced analytics and custom research. See /platform for full capabilities and /pdo for the decision-orders product.
How does this dataset support the generation of real-world evidence for clinical and commercial strategies?
With 12.3 million senior care patients and 10+ years of longitudinal records, the dataset enables study of disease trajectories, treatment effectiveness, and patient outcomes in diverse real-world settings. This evidence informs clinical trial design, market access strategy, and post-market evaluation — complementing traditional clinical trial data with population-level signal. Validated across 19 peer-reviewed studies with an academic medical center, MIT, NIH, and Mayo. See /research.
How do you ensure the quality, accuracy, and reliability of the data?
Quality is enforced through a multi-stage pipeline: data flows daily from 14,613 facilities via native PointClickCare integration, undergoing cleaning, normalization, and lineage tracking. The longitudinal scale and 27 billion clinical records support internal validation and cross-referencing. GIA® AI Co-Clinician benchmarks new patient encounters against like-cohorts in real time, providing continuous anomaly detection and quality signal. See /clinical-governance for our governance framework.
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