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helping you revolutionize human health management by combining the best of Data Science + Medical Science
Wil Yu – [email protected]
what: ensuring the best of medical science is applied in every patient interaction (for both acute and chronic care)
how: using real-time big analytics with ever-learning graph combining hundreds of healthcare data sets and over 22,000+ physician hours of curation
raw big data processed into curated, usable real-time big knowledge
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To realize this vision we combined graph analytics & medical science
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The Medical Graph allows Lumiata to apply the same transformational techniques to health analytics that Google applied to web search
Raw Data
Demographics
Previous Diagnoses
Labs
Meds Step 2a Apply the Graph of Medicine (160M+ data points to connect and apply medical science to health data)
Step 2b Generate GapDx by lab, med, criteria, and Graph
Step 1 Convert raw data into longitudinal per patient data
How we conduct our analyses…
Step 3 HCC Analysis
Step 4 Patient Story & Opportunity Report
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Graph analytics + medical science
symptom diagnosis Labs Imaging
Tx Procs Meds Envir.
Factors, Seasons
lifestyle
Types of Nodes
symptom diagnosis
Labs
∫(age, gender, duration, ethnicity, …)
diagnosis ∫(age, gender, sensitivity, specificity,,…)
Types of Edges
Enabling us to create a per patient micro-graph and its extension enabling a personalized markov model analytics for example.
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Key Diagnoses via Graph Analytics depression alcoholism schizophrenia bipolar disorder general anxiety disorder diabetes mellitus type 2 dysthymic disorder anxiety post traumatic stress disorder myocardial infarction major depressive disorder obsessive compulsive disorder obesity nicotine addiction metabolic syndrome hypothyroidism hypertension obstructive sleep apnea mania chronic obstructive pulmonary disease hypercholesterolemia
Zooming into a part of Lumiata’s Medical Graph
Patient Story Per Patient
From raw data to a conscience current and probable future patient story
Multiple raw data files with scattered patient data
Lumiata generates a per patient JSON object
Using Lumiata Medical Graph a per patient story is generated
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Health Systems & Risk
Bearers
Emerging,HIT
Develprs
delivered through
API: machine to machine interface to simplify use – application programmers interface
App: web and mobile software for specific purposes 10
Apps & APIs
… all of which for individuals and populations are
helping you revolutionize human health management by combining the best of Data Science + Medical Science
Wil Yu – [email protected]