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    For the lay person, the term database is just another geek word that is just so prevalent in today’s society. From the office, to the home, and to just about any industry, p
    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
    eople refer to their information as being kept in a ‘database’.

    So somehow, we all get this idea that the database is some cabinet that holds all the data for a given organ
    ; or drug, device, and biological product and fixed dose combination would include two or more combinations of drug.

    Examples of combination products may in
    zation.

    But what is a database, anyway?

    A database is any collection of data organized for storage in a computer memory and designed for easy access by authorized users. T
    lude drug-coated devices, drugs packaged with delivery devices in medical kits, and drugs and devices packaged separately but intended to be used together.

    he data may be in the form of text, numbers, dates, or encoded graphics.

    Since databases made their debut 1950s, they have become mightily important in the everyday operati
    here is enormous increase in the number of combination products entering the market in the recent years. Combination products have proven advantages but fixe
    ns of every major and even minor industry.

    Databases make the output of needed data and reports easy, convenient, and almost instantaneous. This is a far cry from the ‘barb
    d dose combinations are still in the process of convincing regulatory authority on their advantages over the single ingredient formulations.

    Combination pro
    aric’ methods once employed by every industry.

    Those outdated methods included collating data from paper files whenever a report was needed. That process wasted a lot of ti
    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
    e and effort. With the help of databases, these manual methods quickly found their demise.

    Small databases were first developed or funded by the U.S. government for agency
    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
    or professional use. But in the 1960s, databases became commercially available to the public.

    However, their use was channeled through a few so-called research centers that
    nation products and maximize the revenues. But the companies involved in this practice are overlooking that they are burdening the patients both economically
    collected information inquiries and performed them in batches. Online databases—that is, databases available to anyone who could link up to them by computer—first appeared i
    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
    n the 1970’s.

    Computer programs that manage and query a database are known as database management systems (DBMS). Database systems are actively studied in information scien
    ts. Some of the combination products were well accepted by physicians while others suffered. Companies involved in development of combination products are fi
    e.

    The overriding concept of databases is the idea of a collection of facts, or pieces of information. Databases may be structured in a number of ways, known as database mo
    ding difficulty in defining their combination products and facing various challenges from selecting a combination to marketing it.

    Following aspects would a
    els.

    Database Models

    Flat Model

    The flat (or table) model consists of a single, two-dimensional array of data elements. All members of a given column are assumed to be si
    dd to the challenges in developing combination products:

    Which markets to tap where the combination products can do fairly well?
    Which combination prod
    milar values, and all members of a row are assumed to be related to one another. For instance, columns for name and password might be used as a part of a system security dat
    cts are meaningful and rational?
    Which therapeutic categories to select?
    Which Combinations can address unmet needs of the patients?
    Do combin
    base.

    Each row would have the specific password associated with a specific user. Columns of the table often have a type associated with them, defining them as character dat
    tions increase the patient compliance?
    What would be the developing cost?
    How to tackle the risks encountered during combination product developmen
    a, date or time information, integers, or floating point numbers.

    This model is the basis spreadsheet systems such as Lotus 123 or Microsoft Excel. However, these applicati
    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
    ns are not typically thought of as databases per se.

    Network Model

    The network model allows multiple datasets to be used together through the use of pointers (or reference
    ping new procedures for reviewing their safety, efficacy and quality.

    Professional from academic institutions, pharmaceutical industries, health care indust
    s). Some columns contain pointers to different tables instead of data. Many major industries adopted this model in the past few decades.

    Relational Model

    The relational mo
    y and representatives from various regulatory agencies are working out to design the regulatory requirements for manufacture and sale of combination products
    el is the most popular of the database models today. This model is the basis for such database systems as Oracle, mySQL, and even Microsoft Access.

    In this model, logically
    .

    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
    related data is kept in tables not unlike the flat model. However, unlike the network model in which tables are connected via pointers, the relational model is interconnect
    elopment. They need to be wiser in analyzing the market trends and the regulatory requirements.

    Companies that provide selfless information through particip
    d using keys or values within data rows in tables that point to other tables.

    The SQL or Structured Query Language is used to manipulate and derive data from such databases


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

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