the power of actionable analytics: where is the value in
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1 PROPRIETARY AND CONFIDENTIAL © 2018 HVH Precision Analytics LLC
The Power of Actionable Analytics:Where is the Value in Real World Data?March 27, 2018
2 PROPRIETARY AND CONFIDENTIAL © 2018 HVH Precision Analytics LLC
Big Data – What Is It & So What?
Big Data = Volume, Velocity, Variety, Complexity• Dataset size and/or structure beyond the ability of typical
database software tools to capture, store, manage, visualize and analyze
• Ubiquitous – Commerce, Cyber, Web, Healthcare, Financial, IoT, Social, DoD, etc.
Need – Holistic, Enterprise Solutions Architect• Next-Generation Analytics – Predictive, Prospective,
Optimization• Enterprise Data Architecture / Business Intelligence
• Content Services Integration – Discovery, quality, standards, access/authentication, performance (scale, latency)
Big Data By Itself Has No Value
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Big Data ≠ Value
December 2016
Indu
strie
s
Value Captured
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Actionable Intelligence
Information
Real World Data
Predict
Identify
Intervene
Measurable Value
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Patient Definition
Undiagnosed Patient
Diagnosed Patient
Model Created from Known Patients
Run Model to separate patients from non-patients
Find Patients (Diagnosed & Undiagnosed)
Patients are defined by analyzing clinical and natural history data, expert input, and drug and diagnosis codes over time and across multiple de-identified data sets
Feature ExtractionFeature extraction and disease model creation is achieved by refining the patient profile and applying machine learning and information theoretic techniques
PredictionOnce disease models are developed, HVH applies developed models to the remaining population, which enables HVH to identify undiagnosed patients in addition to diagnosed but untreated patients
1 2 3
APPLICABLE TO:Ultra-rare, rare, hard to diagnose and broad diseases
Predictive Modeling
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Predict: Early Diagnosis of ALS
Outcome 3Challenge 1 Approach 2
HVH presented findings at AAN and have a manuscript in review with a national medical journal focused on neurology
ALS was known to present its first signs 12 months prior to diagnosis
Our machine learning techniques identified differentiating signals in the patient journey
Determine the signals that can be used to accelerate the diagnosis of ALS
Patient Definition
FeatureExtraction
Prediction & Analysis
Identifiedsignals in patients five years prior to ALS diagnosis
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Identify: Multiple Sclerosis Patients and Subpopulations
Outcome 3Challenge 1 Approach 2
The client efficientlyexpanded outreach and converted patients quickly
HVH was able to incorporate several KOL insights to create multiple patient definitions
HVH uncovered exactly where patients and treating providers were to facilitate engagement
Identifylapsed and naïve patients to engage their providers
Patient Definition
FeatureExtraction
Prediction & Analysis
EmpoweredPrecision physician messaging and targeting
HVH was able to provide a real world market size that was much larger than the company had originally estimated
Cohort B
On-Therapy
Naïve
Lapsed
Diagnosed
Client Estimation Of Market
Cohort DCohort C
Real World Evidence of Market
Cohort A
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Intervene: NASH Primary Care Physicians and Specialists
Outcome 3Challenge 1 Approach 2
HVH discovered patients were going to different specialists than expected
Such a segmentation was previously only available through a liver biopsy
HVH analyzed EHR and claims to create “data-equivalent” markers for FIB4, APRI metrics
SegmentNASH patients by severity of fibrosis stages
Patient Definition
FeatureExtraction
Prediction & Analysis
UncoveredAccurate patient segmentations absent a liver biopsy
HVH determined previously unknown demographics and the actual referral patterns for specialists which differed from the expected path
9 PROPRIETARY AND CONFIDENTIAL © 2018 HVH Precision Analytics LLC
Actionable Intelligence
Information
Real World Data
Predict
Identify
Intervene
Measurable Value
10 PROPRIETARY AND CONFIDENTIAL © 2018 HVH Precision Analytics LLC
HVH Precision Analyticswww.hvhprecision.com
Oodaye ShuklaChief Data [email protected]
Ed KalpasMedical [email protected]
Predict
Identify
Intervene