 |
Recombinant
Data Trust
What It Is
The Recombinant Data Trust is a healthcare data
warehouse, which can be built incrementally, that aggregates, cleanses,
and centrally manages patient information to simultaneously support the
needs of both healthcare operations and clinical research, while
complying with privacy and security requirements. It includes a
pre-defined data schema, data extraction utilities, and data quality
tools focused on healthcare needs.
The data schema provides a framework for
organizing data in a star schema including key structures for a broad
group of standard data sources such as electronic health records
(EHRs), payer claims, billing, patient scheduling, EMPI, laboratory
systems, and gene chips. Extraction utilities include adapters to load
messages from common communication systems such as HL7, XML data
request utilities, and packaged adapters to specific structured data
sets from common source systems. Data quality tools support the
normalization and cleansing of data ranging from simple transformations
including standardizing units to inches to more complex logical changes
to apply reference ontologies to data stored in ad-hoc coding systems
as well as the monitoring of the success and failures in the data
transformation process.
How It Works
Unlike large-scale data warehouse projects that require that all data
sources be integrated from the beginning, the Recombinant Data Trust
takes an incremental approach to building a healthcare data
repository.
Using our Provider Analytics Roadmap
(PAR) methodology Recombinant prioritizes the data
needs of end-users to define a phased process that delivers releases at
four-month increments or less. The Data Trust phases are tied directly
to the delivery of data applications to clinicians and researchers,
ensuring immediate value while working toward a long-term vision.
The Recombinant Data Trust brings together data
siloed in disparate sources to enable integrated reporting at the
hospital level and across multiple hospitals, takes the load off
transactional systems to avoid performance degradation, and permits the
development of a governance mechanism to establish consistent use of
data together with data security and privacy.
Features & Benefits
Improves data quality
- Provides a
reliable, leading-edge process for clinical data cleansing,
normalization, extraction, transformation, and loading (ETL) to present
high-value data for secondary use
- Enables ontology
standardization to connect legacy data with national standards (e.g.,
ICD9, rxNorm, LOINC, CPT, Medispan, First Data Bank, HL7)
- Offers visibility
into consistency of care across a provider organization
Gains efficiencies
- Makes data
available for rapid ad hoc queries and structured
reports, reducing custom analytics projects and one-off efforts
- Reduces the
pressure on MDs, PhDs, and operations staff to be data gophers, giving
them more time to find answers from the available data
- Promotes the
capture and maintenance of a provider’s long-term clinical
history, furthering both visibility and organizational memory for cost
and quality improvement
- Offers cost
efficiencies through a single development and IT infrastructure
investment that satisfies the data access requirements of both
providers and clinical researchers
- Lowers the total
cost of ownership (TCO) and increases the rate of innovation by
leveraging the wisdom across multiple institutions adopting the Data
Trust
Improves performance
- Reduces and
simplifies the load on mission-critical EHR applications and the teams
that support them
- Empowers
researchers and clinicians to achieve higher performance goals through
reliable and efficient flow of integrated clinical data
- Breaks down siloed
operations and organizational thinking, thereby promoting a common goal
Furthers operational goals
- Provides ability
to audit the access and use of personal health information (PHI) in an
organization to meet regulatory requirements
- Promotes
governance over data sources and distribution
- Enables delivery
of custom data sets to external partners (e.g., CDC, UHC, PHRs, Payers,
etc.)
- Supports system
transitions (e.g., application switches) through continuity and data
repository access
Getting Started
For a demonstration of the Recombinant Data Trust
or more information on how we can create a clinical data warehouse to
meet the needs of your organization, please contact us.
|
|
