helping you revolutionize human health management by combining the best of Data Science + Medical Science

Wil Yu – wil@lumiata.com

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 – wil@lumiata.com