After reviewing multiple vendors, UNC Health chose Hyland for the ability to
capture, index and unify access to documents, media and images for integrated
use within the EMR, ERP and HRIS workflows.
Matthew Castellano, System Executive Director for IT, Business and Revenue
Cycle Systems and Innovation, UNC Health noted Hyland offered solutions that
were extensive and scalable across many enterprise use cases, which drives
"On the clinical side, UNC eliminated silos of medical images stored in PACS at
multiple facilities by implementing a single clinical image repository with
Hyland’s Acuo vendor neutral archive (VNA) and enabled universal access
within Epic workflow through the NilRead diagnostic viewer. We have eliminated
nine PACS and three reporting systems," said Vineeta Khemani, director
of Information Services Division Architecture and Clinical Systems at UNC
Health. "This not only results in hard cost savings, but also reduces annual
support and enhancement costs."
UNC Health also stored and indexed EKGs, consult notes and other unstructured
patient documents through Hyland’s OnBase content services platform and
delivered the documents within patient context for use within the Epic EMR
workflow. With the Epic EMR and Hyland’s enterprise imaging and content
services integration, UNC Health achieved its One Patient, One Chart vision.
Notable patient-centered benefits have also been attained. For example, the
tight integration between the imaging system and the EMR means that DVDs no
longer need to be burned in order to share images from one UNC Health facility
to another. Instead, images are electronically available enterprise-wide,
almost in real time, which accelerates physician consults and reduces
instances of unnecessary repeat imaging tests.
UNC Health further leveraged Hyland Healthcare content services platform to
improve operational efficiencies, expedite workflows and reduce costs. UNC
Health added document capture, machine learning classification, extraction of
data and automated workflow to its enterprise resource planning space to
improve its clean pass-through and invoice-processing rates.
"In AP, we’ve eliminated steps needed to rekey data because we’re
extracting data via OCR (optical character recognition) and passing that through
interfaces, so we don’t have individuals reading through paper and
rekeying data to associate unstructured data with the corresponding purchase
order," Castellano said.
UNC Health’s best practice uses of technology has supported their
digital transformation and Stage 7 achievement of three HIMSS analytics
domains, including the Electronic Medical Record Adoption Model (EMRAM),
Outpatient Electronic Medical Record Adoption Model (O-EMRAM) and the Adoption
Model for Analytics Maturity (AMAM). The EMRAM certifications reflect the
highest level of completeness, governance, privacy and security, analytics and
disaster recovery planning around electronic medical records an organization
can attain. UNC is also expected to among the first to achieve Stage 7 for
HIMS Digital Imaging Adoption Model (DIAM).