This document summarizes a healthcare data unification solution called Quahog's HealthDSTM. The solution aims to solve the healthcare data disconnect by aggregating and normalizing data across disparate systems to create a unified patient record. This allows for seamless access to current and historical patient information. The unified data foundation also supports analytics, workflows, and real-time monitoring to generate insights and recommendations. This assists with continuous patient care and helps streamline operational processes. The expected benefits include deeper insights for improved decision-making, faster access to real-time insights, and cost savings from reduced data storage needs and advanced automation.

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Solving the Healthcare Ecosystem Data Disconnect

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Solving the Data Disconnect through Unification
Q
Clinical Interoperability This
means that systems within
the enterprise can interact
and exchange data,
allowing insights to be
accessed seamlessly
Unified Patient Records
Data organized by
individual patients allows
caregiver access to current
and historical information
from a single source, to
enhance diagnoses
Seamless Secure Patient
Engagement
Patients can be engaged
and/or coached post
discharge using secure
messaging. Patient records
enable messages to be
contextual and relevant,
creating an improved patient
experience
Better Insights and Decisions
The analytics layer (over the
unified data foundation)
enables the automation of
insight and the generation of
recommendation and
thereby more effectively
assisting with continuous
care

4. Feature Description Benefits
Data Unification
Aggregates and normalizes data
across multiple disparate systems
thereby reducing data redundancy
Reduced data storage costs
Data Organization
Auto-organizes data based on an
integrated schema and FHIR
standards, and stores data-sets ready
for further analyses and machine
learning
Improved Interoperability
across all healthcare systems.
Enables access to insights
across the enterprise
Data Connectors
Allows easy integration with existing
data sources as well as new
IoT/wearable data sources
Easy and quick implementation
saves significant time and
expenditures
Analytics Layer
Inherent models facilitate the creation
of analysis pipelines for the
day-to-day monitoring of multiple
data parameters
Run time insights allow for
faster decision-making to
improve operational
efficiencies
Workflow Engine
Built over centralized data, the
workflow engine allows users to
automate tasks and/or set up clinical
work flows
Automation eases
resource workloads while
optimizing processes and cost
savings

5. Feature Description Benefits
Data Visualization
Real-time monitors can provide
managers and caregivers with
operational insights for improved
management and continuous
monitoring
Real time insights allow users to
make timely decisions that
streamline operational processes,
while improving patient
experience
Medical NER
Allows users to query the system
in Natural Language to instantly
obtain insights without
dependencies
Allows all users within the
enterprise to obtain instant
insights without any formal
training; thus reducing the cost of
creating new reports
Engagement
The Engagement app allows
patient managers to engage and
follow-up on their patients with
personalized campaigns
Allows the enterprise to keep in
touch with their patients at all
times, including post
discharge engagement
Permissions
Enables administrators with the
ability to create access roles, and
assign permission to data based
on these roles
Ensures that data is properly
handled and safeguarded for
downstream applications

6. What results can you expect?
More Insights
Deeper insights can
provide high quality
decisions into operational
processes. The system is
constantly learning,
allowing it to be dynamic
and contextual at all times.
Faster
Real-time analytics makes
the platform perform faster
than other systems.
Caregivers receive instant
insights, which assists them
in the rapid resolution of
issues for the benefit of the
patient
Cost Savings
By removing redundancies,
the unique data
organization of the
platform optimizes
data storage. Advanced
Automation capabilities
serve to reduce resource
associated costs.
50
%
70
%
30
%

7. Health
Catalyst
Innovaccer Mede
Analytics
Gorilla
Health
Quahoglife
Data Unification Yes Yes Yes Yes Yes
Explicit Schema No No No No Yes
Data Connectors/API Yes Yes Yes Yes Yes
Analytics Yes Yes Yes No Yes
Unified Patient Records Yes Yes No No Yes
Machine Learning Pipelines No No Yes No Yes
Data Visualization/Dashboards Yes No Yes Yes Yes
Workflow Engine Yes Yes No No Yes
Patient Engagement No Yes No Yes Yes
Integrated Medical Topics (NLP) No No No No Yes
Integrated Medical Databases Yes Yes Yes No Yes
Comparison

8. Quahog's HealthDSTM
Healthcare Decision System for Continuous Care
www.quahoglife.com