Medical Billing Knowledge Management with Communal Documentation and Adaptive Search

Google became a standard reference tool forof shared inter-article repository on the Web to
almost every group of age and interest. Butthe next, intra-article level, allowing multiple
Google frustrates doctors looking for bettercontributors share editing process of the same
understanding of medical billing complexities anddocument. By localizing and focusing shared
modern straight through billing technologies. Thisefforts to the same documents, the resulting
article briefly explores the contradictory forces ofsites achieve relevance degrees unobservable to
the most popular search algorithm on the planetpopularity-based search engines.Wikipedia is the
and outlines specialized, collaborative, andmost popular example of Wiki: BBC News has
self-learning technologies to solve its limitations incalled Wikipedia "one of the most reliably useful
the context of medical billing and compliance.sources of information around, on or off-line."
Google's Limitations As of the end of JanuaryWikipedia, like numerous other wikis, is void of
2005, the indexable Web was estimated at 11.5commercialization and link-driven popularization.
billion pages [Gulli and Signorini], growing from 200However, Wikipedia has two other problems:
million pages in 1997. Without effective searchLimited depth in spite of data availability on the
engines, such as Google, the Web would eitherInternet. For instance, a search for "Straight
not achieve such huge proportions in such a shortThrough Billing," "Billing Compliance," or "Medical
time or become the epitome of documentBilling Transparency" returns no results.
anarchy. Internet search engines in general andLimited search capabilities, most notably sharing
Google in particular have transformed the Worldwith Google low precision and lack of context.
Wide Web from stagnant data repository with aSearch experts used specialization to approach
slow and result-poor search process to a dynamicboth problems above. Separate specialized wikis
world of continuously expanding and rich sourcefor reference and education solve limited depth
of information of gargantuan proportions.Googleproblem and separate specialized search engines
today represents state of the art of "groupsolve limited search problem. For instance, is a
mind," which is defined by people who activelyresult of collaborative effort to document a
create and manage text on the Internet andnarrowly defined body of knowledge related to
hyperlinks to that text. Its success is rooted inmedical billing. As a Wiki, it started without a
relevance of retrieved results and in high speed ofpopularity-based search engine, relying on its
result retrieval. Google proved that using pagenarrowly defined body of knowledge, which allows
popularity to rank its relevance to the originaldeeper penetration into specific topics. It is easy
query has tremendous pragmatic value to theto see the emergence of multiple wikis, each
broadest groups of Internet users.However, thededicated to narrowly defined, specific topic.
same popularity-based search algorithms alsoBillingWiki Enhanced with Specialized Billing Search
cause imperfections and frustrations. GoogleEngine A special purpose Billing Search Engine
superimposes only minimal order to this anarchy,integrated within BillingWiki allows the members of
just enough to find tons of interesting informationa community interested in medical billing to
but far from serving a comprehensive referenceimprove their search experience. Such reinforced
source. It would be a mistake to rely on GoogleBillingWiki solves several shared shortcomings of
for an ultimate source of reference informationGoogle and Wiki, while retaining key advantages
[Hargittai]. The list of Google's shortcomingsof collaborating and specialization.A major
includes Low precision. Google does not return anadvantage of Billing Search Engine over standard
answer or solution to your problem. Instead, youGoogle's search is the ability to allow users to
receive a set of links to Web pages withindicate satisfaction with the search result and to
information of various degrees of relevance toinfluence its future behavior. Specifically, Billing
your search. This kind of answer results inSearch Engine allows to:
multi-step operation, where you first must identify
the most promising links, then "drill in" for moreEdit result relevance by promoting or demoting
information, refine your initial search and repeatentries on the result page.
the entire process. For instance, a search forCreate and maintain dynamic context, eliminating
"medical billing" returns ads for medical jobs,non-relevant results. "Learn" from the community
career guides, online learning courses, andby continuously enhancing the set of search
advertisements for billing products. No context.terms both by adding/deleting search terms and
For example, a search for "medical compliance,"modifying their relative importance. Edit and
retrieves advertisement to hire reimbursementvisually communicate the degree of relevance of
compliance consultants along with a source for thethe search terms. The search engine displays
top quality disposables, and governmentsearch terms and modifies their font size (color)
employment regulations for leave of absence dueto reflect relative term popularity. For example, a
to medical necessity. A search for "billingsearch for "Billing Compliance" using specialized
compliance," retrieves pages containingBilling Search Engine returns pages containing
descriptions of compliance programs atcompliance solutions, descriptions of compliance
universities, descriptions of compliance trainingterminology, audit risk management, and
courses, etc. "GoogleWashing." GoogleWashing is anumerous examples of and press releases about
process of altering online associations with abilling compliance violations. Summary Google
keyword by prolific linking using external sources,search may not be the optimal solution for
e.g., blogs. The downside of this process is that itprofessionals interested in most current reference
excludes other high value reference sources, e.g.,material and innovations in straight through medical
books or articles unavailable for Google indexingbilling, compliance management, billing
and promotes commercial sites only.transparency, preferential patient scheduling,
Commercialization instead of education. Forelectronic medical records, and computer aided
example, a search for "medical claims processing"coding. A two-component architecture of the new
retrieves "tips on starting a medical claimsgeneration billing knowledge archival systems, such
processing business" and advertising foras BillingWiki.com, offers multiple solution
companies looking for billing salespeople and sellingimprovements. It includes a communal billing
claims processing software and services, insteadknowledge base and a specialized search engine.
of references to and descriptions of processes orBy facilitating continuous improvement and learning
summarized product/service reviews. Unknownfrom its own users community, the resulting wiki
credibility. Its responses do not have an externalperformance outpaces Google's performance for
source of credibility rating. They are rankedmedical billing knowledge queries. References
according to a "popularity" formula. No feedback.
Limited and indirect ability to influence the searchAntonio Gulli and Alessio Signorini, "The Indexable
results by creating or deleting links. Complete lackWeb is More Than 11.5 Billion Pages,"
of ability to modify search results or search
terms. Google helps us using the Internet as aEszter Hargittai, "Life beyond Google," Yuval
source of collaborative but highly biasedLirov, PhD, author of "Mission Critical Systems
knowledge. For comparison, Google and bookManagement" (Prentice Hall, 1997), inventor of
references occupy two opposing ends ofmultiple patents in artificial intelligence and
spectrum of information materials arranged alongcomputer security, and CEO of Billing Technologies.
credibility and relevance dimensions. Wiki - SharedVericle delivers comprehensive practice workflow
Knowledge Repository on the Web Wikiengine that integrates patient scheduling, electronic
technology aims at the middle ground betweenmedical records (EMR), billing, transcription, and
the extremes of the spectrum defined by Googlecompliance management. It improves billing
and book encyclopedias. Wiki takes the conceptperformance and reduces audit risk.