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Google became a standard reference tool for almost every group of age and interest. But Google frustrates doctors looking for better understanding of medical billing complexities and modern straight through billing technologies. This article briefly explores the contradictory forces of the most popular search algorithm on the planet and outlines specialized, collaborative, and self-learning technologies to solve its limitation

According to USFDA, a combination product is one composed of any combination of a drug and device; biological product and device; drug and biological product

s in the context of medical billing and compliance.

Google's Limitations

As of the end of January 2005, the indexable Web was estimated at 11.5 billion pages [Gulli and Signorini], growing from 200 million pages in 1997. Without effective search engines, such as Google, the Web would either not achieve such huge proportions in such a short time or become the epitome of document anarchy. Internet search engines in ge

; or drug, device, and biological product and fixed dose combination would include two or more combinations of drug.

Examples of combination products may in

eral and Google in particular have transformed the World Wide Web from stagnant data repository with a slow and result-poor search process to a dynamic world of continuously expanding and rich source of information of gargantuan proportions.

Google today represents state of the art of "group mind," which is defined by people who actively create and manage text on the Internet and hyperlinks to that text. Its success is rooted

lude drug-coated devices, drugs packaged with delivery devices in medical kits, and drugs and devices packaged separately but intended to be used together.

n relevance of retrieved results and in high speed of result retrieval. Google proved that using page popularity to rank its relevance to the original query has tremendous pragmatic value to the broadest groups of Internet users.

However, the same popularity-based search algorithms also cause imperfections and frustrations. Google superimposes only minimal order to this anarchy, just enough to find tons of interesting informa

here is enormous increase in the number of combination products entering the market in the recent years. Combination products have proven advantages but fixe

ion but far from serving a comprehensive reference source. It would be a mistake to rely on Google for an ultimate source of reference information [Hargittai]. The list of Google's shortcomings includes

Low precision. Google does not return an answer or solution to your problem. Instead, you receive a set of links to Web pages with information of various degrees of relevance to your search. This kind of

d dose combinations are still in the process of convincing regulatory authority on their advantages over the single ingredient formulations.

Combination pro

answer results in multi-step operation, where you first must identify the most promising links, then "drill in" for more information, refine your initial search and repeat the entire process. For instance, a search for "medical billing" returns ads for medical jobs, career guides, online learning courses, and advertisements for billing products.

No context. For example, a search for "medical compliance," r

ucts have become life saving products for the pharmaceutical companies who doesn’t have many innovative molecules in their product pipeline and have been inc

trieves advertisement to hire reimbursement compliance consultants along with a source for the top quality disposables, and government employment regulations for leave of absence due to medical necessity. A search for "billing compliance," retrieves pages containing descriptions of compliance programs at universities, descriptions of compliance training courses, etc.

"GoogleWashing." GoogleWashing is a proc

easingly used in the product life cycle management. Even the companies having product patents are trying to extend their product life cycle through the combi

ss of altering online associations with a keyword by prolific linking using external sources, e.g., blogs. The downside of this process is that it excludes other high value reference sources, e.g., books or articles unavailable for Google indexing and promotes commercial sites only.

Commercialization instead of education. For example, a search for "medical claims processing" retrieves "tips on starting a me

nation products and maximize the revenues. But the companies involved in this practice are overlooking that they are burdening the patients both economically

ical claims processing business" and advertising for companies looking for billing salespeople and selling claims processing software and services, instead of references to and descriptions of processes or summarized product/service reviews.

Unknown credibility. Its responses do not have an external source of credibility rating. They are ranked according to a "popularity" formula.

No feedbac

and physically. They need to rightly judge the benefits of the combination products and they have to even look at the risks involved when combining the produ

k. Limited and indirect ability to influence the search results by creating or deleting links. Complete lack of ability to modify search results or search terms.

Google helps us using the Internet as a source of collaborative but highly biased knowledge. For comparison, Google and book references occupy two opposing ends of spectrum of information materials arranged along credibility and relevance dimensions

ts. Some of the combination products were well accepted by physicians while others suffered. Companies involved in development of combination products are fi

Wiki - Shared Knowledge Repository on the Web

Wiki technology aims at the middle ground between the extremes of the spectrum defined by Google and book encyclopedias. Wiki takes the concept of shared inter-article repository on the Web to the next, intra-article level, allowing multiple contributors share editing process of the same document. By localizing and focusing shared efforts to the same documents, the resu

ding difficulty in defining their combination products and facing various challenges from selecting a combination to marketing it.

Following aspects would a

ting sites achieve relevance degrees unobservable to popularity-based search engines.

Wikipedia is the most popular example of Wiki: BBC News has called Wikipedia "one of the most reliably useful sources of information around, on or off-line." Wikipedia, like numerous other wikis, is void of commercialization and link-driven popularization. However, Wikipedia has two other problems:

Limited depth in spite of dat

dd to the challenges in developing combination products:

Which markets to tap where the combination products can do fairly well?
Which combination prod

availability on the Internet. For instance, a search for "Straight Through Billing," "Billing Compliance," or "Medical Billing Transparency" returns no results.

Limited search capabilities, most notably sharing with Google low precision and lack of context.

Search experts used specialization to approach both problems above. Separate specialized wikis for reference and education solve limited depth p

cts are meaningful and rational?
Which therapeutic categories to select?
Which Combinations can address unmet needs of the patients?
Do combin

roblem and separate specialized search engines solve limited search problem. For instance, BillingWiki.com is a result of collaborative effort to document a narrowly defined body of knowledge related to medical billing. As a Wiki, it started without a popularity-based search engine, relying on its narrowly defined body of knowledge, which allows deeper penetration into specific topics. It is easy to see the emergence of multi

tions increase the patient compliance?
What would be the developing cost?
How to tackle the risks encountered during combination product developmen

le wikis, each dedicated to narrowly defined, specific topic.

BillingWiki Enhanced with Specialized Billing Search Engine

A special purpose Billing Search Engine integrated within BillingWiki allows the members of a community interested in medical billing to improve their search experience. Such reinforced BillingWiki solves several shared shortcomings of Google and Wiki, while retaining key advantages of collaborat

t?

As combination products don't fit into the traditional categories of drugs, medical devices, or biological products, the USFDA is in the process of devel

ng and specialization.

A major advantage of Billing Search Engine over standard Google's search is the ability to allow users to indicate satisfaction with the search result and to influence its future behavior. Specifically, Billing Search Engine allows to:

Edit result relevance by promoting or demoting entries on the result page.

Create and maintain dynamic context, eliminating non-relevant results.

ping new procedures for reviewing their safety, efficacy and quality.

Professional from academic institutions, pharmaceutical industries, health care indust

/li>

"Learn" from the community by continuously enhancing the set of search terms both by adding/deleting search terms and modifying their relative importance.

Edit and visually communicate the degree of relevance of the search terms. The search engine displays search terms and modifies their font size (color) to reflect relative term popularity.

For example, a search for "Billing Compliance" u

y and representatives from various regulatory agencies are working out to design the regulatory requirements for manufacture and sale of combination products

sing specialized Billing Search Engine returns pages containing compliance solutions, descriptions of compliance terminology, audit risk management, and numerous examples of and press releases about billing compliance violations.

Summary

Google search may not be the optimal solution for professionals interested in most current reference material and innovations in straight through medical billing, compliance managemen

.

As there is an increasing trend of the combination products companies manufacturing such products should be able to tackle the problems involved in the de

, billing transparency, preferential patient scheduling, electronic medical records, and computer aided coding. A two-component architecture of the new generation billing knowledge archival systems, such as BillingWiki.com, offers multiple solution improvements. It includes a communal billing knowledge base and a specialized search engine. By facilitating continuous impr

elopment. They need to be wiser in analyzing the market trends and the regulatory requirements.

Companies that provide selfless information through particip

vement and learning from its own users community, the resulting wiki performance outpaces Google's performance for medical billing knowledge queries.

References

Antonio Gulli and Alessio Signorini, "The Indexable Web is More Than 11.5 Billion Pages," http://www.cs.uiowa.edu/~asignori/web-size/
Eszter Hargittai, "Life beyond Google," http://news.bbc.co.uk/2/hi/technology/3601371.stm

tion in industry events and feedback to regulatory authorities would be able to face the challenges and will be successful in developing combination products

HTTP = HTML link (for blogs, profiles,phorums):
<a href="http://www.mainsubjects.org.ua/article/32825/mainsubjects-Electronic-Medical-Billing-Knowledge-Base-With-Communal-Document-Control--Adaptive-Search-Software.html">Electronic Medical Billing Knowledge Base With Communal Document Control + Adaptive Search Software</a>

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