ike the Ancient Mariner, we have too much
of what we need, (in our case, data) but not in the form that we need it
(in our case, standardized, unambiguous, relevant, and meaningful data
that results in actionable information that we can use for informed
decision-making).
We don’t have a shortage of data – we’re often drowning in it – what we
lack is a way to structure and organize it so that it’s useful across the
entire healthcare continuum.
It’s about healthcare information, not information technology.
Information technology, while an enabler, is only a tool. What
healthcare needs is data that supports its primary mission – patient care
– and can be communicated among healthcare partners: Providers, payers,
suppliers, distributors and manufacturers, all of whom share a symbiotic
relationship.
All of these entities are connected in a data network, each relying on
the others to provide meaningful data that facilitates
collaboration – collaboration that requires
data standardization, unification, normalization, accuracy, and
completeness to be effective and beneficial. Data unification enables
hospitals, group purchasing organizations, manufacturers, suppliers
and related entities to streamline their supply chain, analyze and
collaborate global spend and improve analytical accuracy. Unifying or
synchronizing data helps achieve a common definition of an entity’s
customers, products, suppliers, and employees – an accurate,
up-to-the-minute view of their business that they can share throughout
their enterprise and with trading partners.
Interoperability and collaboration among healthcare partners is
hampered by a lack of data synchronization (as is interoperability among
the multitude of in-house information systems: Legacy, Laboratory, Cath
Lab, Pharmacy, OR scheduling, Order Entry, etc.) As Peggy Brody of the
Coalition for Healthcare eStandards (CHeS) points-out, "bad purchasing
data is causing some serious issues in healthcare. Hospital budgets are
being hit hard due to dirty item masters and money spent tracking down
mismatches in accounts payable. Wasted clinician time, inaccurate pricing,
inaccurate rebates, returns and credits..."
These are things that budget- and labor-strapped providers cannot
afford – either in patient care or financial terms. Clinically speaking,
data and its collaboration make the difference between acceptable outcomes
and marginal or unacceptable outcomes. Financially speaking, data and its
collaboration make the difference between profit and loss.
While all parties recognize that there are significant benefits to be
realized by data synchronization, and we see article after article and
many conference sessions identifying inaccurate, incomplete, and
inconsistent data as a leading cause of many of today’s healthcare
maladies (e.g., in supply chain management), the "hard" benefits can be
difficult to quantify, and it is this lack of ROI that is causing
reluctance on the part of various members of the supply network to lead in
the adoption of standards and data synchronization (unlike the role that
the DoD took in demanding use of the Universal Product Number (UPN), or
that Wal-Mart took in requiring its suppliers to use bar coding). Early
electronic data interchange (EDI) adoption saw the same chicken-and-egg
scenario: suppliers were reluctant to invest in EDI technology until they
knew that their customers would use it, while the customers were reluctant
to invest until they knew that their suppliers would use it (and adoption
of subsequent technologies – e.g., XML – have met the same resistance to
first adoption).
Besides, the problem of data synchronization is incredibly large and
intimidating. What can be done to overcome it?
Fortunately, several organizations are engaged in the adoption of
standards to help address this problem (with thanks to Peggy Brody,
director of communications, CHeS):
• The Coalition for Healthcare eStandards (CHeS) are promoting the
adoption of standards, such as Global Location Number (GLN) to identity
customers and trading partners, United Nations Standard Product and
Services Code (UNSPSC) to standardize product
classification/categorization, and a Product Data Utility (PDU) that
provides a centralized industry resource for standardized and synchronized
product data. AHRMM supports these three CHeS initiatives.
• The Eastern Research Group Inc. proposed the use of the UPN for
medical device identification, use of a Product Data Utility (PDU) to
maintain accurate product data for EDI, and use of identification systems
in hospitals that can read UPNs and capture data or link UPNs to a PDU
database.
• The Healthcare Supply Chain Standards Coalition (HSCSC) is proposing
the use of uniform supply chain standards for business transactions with
consistent use of clean data and product information in standardized
formats.
• The Strategic Marketplace Initiative, a consortium of healthcare
providers, medical supply chain companies, and other related businesses,
is working on adopting a customer identification standard to identify
trading partner locations.
• HIMSS has created the Integration and Interoperability Steering
Committee to guide the industry on allocating resources to develop and
implement standards and technology needed to achieve interoperability.
What is needed, however, is an overall body to coordinate these, and
other, initiatives and ensure consistency and coverage of issues, and
resolve overlaps and conflicts.
Managing a corporate asset
All supply network partners need to recognize that data is a corporate
asset and can provide a competitive advantage (this already is known to a
large extent on the revenue side; now, equal attention must be paid to the
expense side). They need to make it a priority to protect this asset by
ensuring its quality through accuracy, completeness and timeliness so that
they can effectively turn that data into actionable information for
decision-making. This, in turn, will lead to significant savings and
productivity increases that not only will fund further IT projects (that,
themselves, will lead to greater savings and productivity), but other
projects, as well.
And everyone needs to become involved in the adoption and
implementation of standards and data "housekeeping" to enable data
synchronization (how many members of the healthcare supply network have
"homegrown" classification systems and haven’t adopted UNSPSC or
cross-referenced their categories to those of the UNSPSC; how many cling
to outdated numbering schemas – often with "intelligent" coding that
either is out-of-date or limits system use, rather than adopting the UPN
or cross-referencing to it, etc.)?
Data as strategic weapon
For providers, in particular, this new data imperative is going to be a
challenge because many hospitals don’t view data as a strategic weapon
(nor do they recognize Materials Management as one, either) – IT and
Materials Management are cost centers/overhead that consume resources and
don’t directly contribute to revenue. Clean, accurate, timely data
requires effort and money – which hospitals often are more willing to
spend on medical equipment and technology. Providers must make the
commitment to adopt and implement standards; other members of the supply
network know when their customers have done so and then can work with them
in a true partnership for everyone’s benefit – especially the patient.
Providers need to recognize that savings realized through effective IT
positioning and deployment can help pay not only for IT initiatives
themselves, but also for medical equipment and technology. And significant
savings in materials management is the "low-hanging fruit" whose ROI has
been documented in many sources. This easily-achievable success can be a
springboard to successive IT initiatives that expand the savings and make
a significant contribution directly to the hospital’s bottom line.
GPOs, suppliers, distributors, and manufacturers (hereafter
collectively referred to as "suppliers") expect that providers/customers
be able to clearly communicate goods and service requirements so that the
supplier understands what is required and can properly provide them under
the terms of their agreements (and this includes the technology to do so –
whether it be EDI, XML, bar coding, supplier portals for collaboration,
RFID and others). If the supplier is expected to provide reporting to
their customers and/or perform specific functions (e.g., order
acknowledgements or ASNs, supplier-managed inventory, consignment,
drop-shipments, spend analytics, recall notifications, RFP quotations,
etc.), then data provided by the customer must be consistent and
synchronized with that of the supplier. Similarly, data synchronization is
required for reverse logistics (i.e., from the customer to the supplier –
e.g., returns, exchanges, etc.)
Software companies expect that providers implement their solutions
properly (including sufficient implementation team and user training) and,
when appropriate, with guidance from the software company (which, after
all, always has "skin in the game"). In a recent survey, it was discovered
that hospitals implement, on average, only 30 percent of the materials
management functions provided in a software package; one can only wonder
then of the quality of the data that was loaded from legacy systems or
manually added. Material, service, and supplier master files seem to be
especially vulnerable to inaccurate, incomplete, and incorrectly
structured data, and accurate historical data may be completely lacking.
In such cases, providers should consult with the software company (who,
after all, knows best what’s required to realize maximum benefit from
their system) and follow their advice.
Acute problem in acute care
As we continue to see this shift towards increased collaboration among
healthcare providers, payers, partners, patients, suppliers and
manufacturers, thus creating a more complex web of information-sharing,
the problems posed by data inconsistency grow even more acute and it
becomes even more of an imperative for all members of the healthcare
ecosystem to work together to define and adopt standards that facilitate
communication and data transparency.
At the beginning of information and
knowledge is data. Decisions and processes based on synchronized and
accurate/complete data lead to positive outcomes, reduced risk, increased
productivity and patient and employee satisfaction, and lower costs. When
you’re dealing with decisions associated with patient care and underlying
financial issues, those are exactly the results that you want to see.