JP5724020B1 - Information processing apparatus and program - Google Patents
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- 230000010365 information processing Effects 0.000 title claims abstract description 34
- 239000003814 drug Substances 0.000 claims abstract description 39
- 238000004364 calculation method Methods 0.000 claims abstract description 32
- 229940079593 drug Drugs 0.000 description 10
- 230000006870 function Effects 0.000 description 10
- 238000000034 method Methods 0.000 description 7
- 239000000825 pharmaceutical preparation Substances 0.000 description 5
- 229940127557 pharmaceutical product Drugs 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 229940127554 medical product Drugs 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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Abstract
【課題】複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数を効率的に算出する。【解決手段】診療施設における医薬品の売上に対して薬局における医薬品の売上を紐付ける際に用いられる係数を算出するための情報処理装置が提供される。この情報処理装置は、診療施設の処方規模を取得する規模取得部と、診療施設に対する薬局の関連度を取得する関連度取得部と、対象の診療施設について、当該診療施設の処方規模と、当該診療施設に対する２つ以上の薬局の関連度とに基づいて、当該２つ以上の薬局に対する当該診療施設の寄与度を算出する寄与度算出部と、対象の薬局について、当該薬局に対する２つ以上の診療施設の寄与度に基づいて、当該２つ以上の診療施設に対する当該薬局の係数を算出する係数算出部とを有する。【選択図】図３A coefficient used for associating the sales of pharmaceuticals at each of a plurality of medical facilities with the sales of pharmaceuticals at a pharmacy is efficiently calculated. An information processing apparatus is provided for calculating a coefficient used in associating sales of pharmaceuticals in a pharmacy with sales of pharmaceuticals in a medical facility. The information processing apparatus includes a scale acquisition unit that acquires a prescription scale of a medical facility, a relevance degree acquisition unit that acquires a relevance level of a pharmacy to the medical facility, a prescription scale of the medical facility, Based on the degree of association of two or more pharmacies with a medical facility, a contribution calculation unit that calculates the contribution degree of the medical facility with respect to the two or more pharmacies, and for the target pharmacy, And a coefficient calculation unit that calculates coefficients of the pharmacy for the two or more medical facilities based on the contribution degree of the medical facility. [Selection] Figure 3
Description
本発明は、情報処理装置及びプログラムに関する。 The present invention relates to an information processing apparatus and a program.
日本では医薬分業制度が採用されており、最終消費者（患者）に提供される医薬品は病院等の診療施設によって処方され、処方された医薬品を薬局が販売する。診療施設で処方箋を発行された患者の多くは、この診療施設の近くにある薬局で医薬品を購入する。薬局における医薬品の売上は、この薬局で購入された医薬品を処方した診療施設への営業活動の成果であると考えられる。そこで、特許文献１では、営業活動の成果を正確に反映すべく、薬局における医薬品の売上を、当該薬局の近くにある診療施設における医薬品の売上に紐付けた統計データを生成する。また、特許文献１では、１つの薬局の近くに複数の診療施設が存在する場合に、この薬局における医薬品の売上に診療施設ごとの係数を乗じてから各診療施設における医薬品の売上に紐付ける。 In Japan, a division of medicine system is adopted, and medicines provided to end consumers (patients) are prescribed by medical facilities such as hospitals, and pharmacies sell the prescribed medicines. Many patients who are issued prescriptions at the clinic purchase their medicines at a pharmacy near the clinic. The sales of pharmaceuticals at a pharmacy are considered to be the result of sales activities to a medical facility that prescribes drugs purchased at this pharmacy. Therefore, in Patent Document 1, in order to accurately reflect the results of sales activities, statistical data in which the sales of pharmaceuticals at a pharmacy are linked to the sales of pharmaceuticals at a medical facility near the pharmacy is generated. Further, in Patent Document 1, when there are a plurality of medical facilities near one pharmacy, the sales of the pharmaceuticals in this pharmacy are multiplied by a coefficient for each medical facility, and then associated with the sales of the pharmaceuticals in each medical facility.
従来、複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数は、薬局への聞き取りなどを通じて人的に決定されてきた。このような決定方法は非常に手間がかかっていた。そこで、本発明は、複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数を効率的に決定するための技術を提供することを目的とする。 Conventionally, the coefficient used to link the sales of pharmaceuticals in each of a plurality of medical facilities to the sales of pharmaceuticals in a pharmacy has been determined by humans through interviews with pharmacies. Such a determination method was very time-consuming. Therefore, an object of the present invention is to provide a technique for efficiently determining a coefficient used in associating the sales of pharmaceuticals at each of a plurality of medical facilities with the sales of pharmaceuticals at a pharmacy.
上記課題に鑑みて、 診療施設における医薬品の売上に対して薬局における医薬品の売上を紐付ける際に用いられる係数を算出するための情報処理装置であって、診療施設の処方規模を取得する規模取得手段と、診療施設に対する薬局の関連度を取得する関連度取得手段と、対象の診療施設について、当該診療施設の処方規模と、当該診療施設に対する２つ以上の薬局の関連度とに基づいて、当該２つ以上の薬局に対する当該診療施設の寄与度を算出する寄与度算出手段と、対象の薬局について、当該薬局に対する２つ以上の診療施設の寄与度に基づいて、当該２つ以上の診療施設に対する当該薬局の前記係数を算出する係数算出手段とを備えることを特徴とする情報処理装置が提供される。 In view of the above problems, an information processing apparatus for calculating a coefficient used when linking a pharmaceutical product sales in a pharmacy to a medical product sales in a medical facility, and acquiring a prescription scale of the medical facility A degree of association, a degree-of-association acquisition means for acquiring a degree of association of the pharmacy with respect to the medical facility, a prescription scale of the medical facility, and a degree of association of two or more pharmacies with respect to the medical facility, The degree of contribution calculation means for calculating the degree of contribution of the medical facility to the two or more pharmacies and the two or more medical facilities for the target pharmacy based on the degree of contribution of the two or more medical facilities to the pharmacy There is provided an information processing apparatus comprising: coefficient calculation means for calculating the coefficient of the pharmacy for the drug.
上記手段により、複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数を効率的に決定するための技術が提供される。 By the above means, a technique is provided for efficiently determining a coefficient used in associating the sales of pharmaceuticals in each of a plurality of medical facilities with the sales of pharmaceuticals in a pharmacy.
添付の図面を参照しつつ本発明の実施形態について以下に説明する。様々な実施形態を通じて同様の要素には同一の参照符号を付し、重複する説明を省略する。また、各実施形態は適宜変更、組み合わせが可能である。 Embodiments of the present invention will be described below with reference to the accompanying drawings. Throughout the various embodiments, similar elements are given the same reference numerals, and redundant descriptions are omitted. In addition, each embodiment can be appropriately changed and combined.
図１を参照して、情報処理装置１００の構成例について説明する。情報処理装置１００は、複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数を算出する。診療施設とは医師が処方箋を発行する医療施設のことであり、例えば病院、医院、診療所、クリニックなどを含む。薬局とは処方箋に従って医薬品を最終消費者に販売する施設であり、例えば調剤薬局、ドラッグストアなどを含む。診療施設における医薬品の売上とは、例えば診療施設が治療のため及び院内処方のために購入した医薬品の金額又は数量のことである。薬局における医薬品の売上とは、例えば薬局が販売のために購入した医薬品の金額又は数量のことである。医薬品の売上は、単一種類の医薬品についての売上であってもよいし、複数種類の医薬品についての合計の売上であってもよい。 A configuration example of the information processing apparatus 100 will be described with reference to FIG. The information processing apparatus 100 calculates a coefficient used when associating the sales of pharmaceuticals at each of a plurality of medical facilities with the sales of pharmaceuticals at a pharmacy. The medical facility is a medical facility where a doctor issues a prescription, and includes, for example, a hospital, a clinic, a clinic, a clinic, and the like. A pharmacy is a facility that sells pharmaceuticals to end consumers according to a prescription, and includes, for example, dispensing pharmacies and drug stores. The sales of pharmaceuticals at a medical facility is, for example, the amount or quantity of the pharmaceutical purchased by the medical facility for treatment and in-hospital prescription. The sales of pharmaceuticals at a pharmacy is, for example, the amount or quantity of a pharmaceutical purchased by a pharmacy for sale. The sales of pharmaceutical products may be sales for a single type of pharmaceutical product, or may be total sales for a plurality of types of pharmaceutical products.
情報処理装置１００は、例えばサーバやパーソナルコンピュータなどで実現される。情報処理装置１００は、単体の装置で実現されてもよいし、ネットワークを介して相互に接続された複数の装置で実現されてもよい。情報処理装置１００は図１に示す構成要素を備える。ＣＰＵ１０１は情報処理装置１００全体の動作を制御する。メモリ１０２は情報処理装置１００の動作に用いられるプログラムや一時データなどを記憶する。メモリ１０２は例えばＲＯＭやＲＡＭなどにより実現される。入出力部１０３は、情報処理装置１００のユーザが情報処理装置１００を操作するための機能を提供し、例えばマウスやキーボードなどの入力装置と、ディスプレイなどの出力装置で実現される。通信部１０４は、情報処理装置１００が外部の装置と通信する機能を提供し、例えばネットワークカードなどで実現される。外部の装置との通信は有線であってもよいし、無線であってもよい。 The information processing apparatus 100 is realized by, for example, a server or a personal computer. The information processing apparatus 100 may be realized by a single device or may be realized by a plurality of devices connected to each other via a network. The information processing apparatus 100 includes the components shown in FIG. The CPU 101 controls the overall operation of the information processing apparatus 100. The memory 102 stores programs and temporary data used for the operation of the information processing apparatus 100. The memory 102 is realized by, for example, a ROM or a RAM. The input / output unit 103 provides a function for the user of the information processing apparatus 100 to operate the information processing apparatus 100, and is realized by an input device such as a mouse or a keyboard and an output device such as a display. The communication unit 104 provides a function for the information processing apparatus 100 to communicate with an external apparatus, and is realized by, for example, a network card. Communication with an external device may be wired or wireless.
規模取得部１０５、関連度取得部１０６、寄与度算出部１０７及び係数算出部１０８は、複数の診療施設のそれぞれにおける医薬品の売上に、薬局における医薬品の売上を紐付ける際に用いられる係数を決定するための機能を提供する。これらの構成要素の動作については後述する。これらの構成要素の一部又は全部は、電子回路のようなハードウェアで実現されてもよいし、プログラムのようなソフトウェアで実現されてもよい。ソフトウェアで構成される場合に、これらの構成要素の機能を規定するプログラムがメモリ１０２に読み出され、このプログラムに従ってＣＰＵ１０１が動作することによって処理が行われる。 The scale acquisition unit 105, the relevance level acquisition unit 106, the contribution level calculation unit 107, and the coefficient calculation unit 108 determine a coefficient used when associating the sales of the drug in the pharmacy with the sales of the drug in each of the plurality of medical facilities. Provide the function to do. The operation of these components will be described later. Some or all of these components may be realized by hardware such as an electronic circuit, or may be realized by software such as a program. When configured by software, a program defining functions of these components is read into the memory 102, and processing is performed by the CPU 101 operating according to the program.
記憶部１０９は各種のデータを格納する機能を提供し、例えば磁気ディスク装置などで実現される。記憶部１０９は、施設距離ファイル１１１及び診療施設情報ファイル１１２を格納する。図２を参照して、これらのファイルの詳細について説明する。施設距離ファイル１１１は、診療施設と薬局との間の距離に関する情報を保持する。ここで、距離は２つの施設間の直線距離であってもよいし、道路に沿って測定した移動距離であってもよい。診療施設名２１１は、診療施設の名称を表す。診療施設名２１１は診療施設を一意に特定できればどのような形式であってもよく、ＩＤやコード等の識別子で表されていてもよい。薬局名２１２は、薬局の名称を表す。薬局名２１２は薬局を一意に特定できればどのような形式であってもよく、ＩＤやコード等の識別子で表されていてもよい。各エントリは、診療施設と薬局との間の距離を表す。例えば、診療施設Ｈ１と薬局Ｐ１との間の距離は、「１」（単位は例えば１００ｍ）である。説明を簡単にするために施設距離ファイル１１１は診療施設及び薬局をそれぞれ２つだけ含むが、診療施設数及び薬局数はこれより多くてもよい。 The storage unit 109 provides a function of storing various data, and is realized by, for example, a magnetic disk device. The storage unit 109 stores a facility distance file 111 and a medical facility information file 112. Details of these files will be described with reference to FIG. The facility distance file 111 holds information regarding the distance between the medical facility and the pharmacy. Here, the distance may be a linear distance between two facilities, or may be a moving distance measured along a road. The medical facility name 211 represents the name of the medical facility. The medical facility name 211 may have any format as long as the medical facility can be uniquely identified, and may be represented by an identifier such as an ID or a code. The pharmacy name 212 represents the name of the pharmacy. The pharmacy name 212 may have any format as long as it can uniquely identify the pharmacy, and may be represented by an identifier such as an ID or a code. Each entry represents the distance between the clinic and the pharmacy. For example, the distance between the medical facility H1 and the pharmacy P1 is “1” (the unit is, for example, 100 m). In order to simplify the explanation, the facility distance file 111 includes only two clinics and pharmacies, but the number of clinics and pharmacies may be larger.
診療施設情報ファイル１１２は、診療施設に関する情報を保持する。診療施設名２１１は、診療施設の名称を表す。診療施設名２１１についての説明は診療施設名２２１についても同様に成り立つ。医師数２２２は、各エントリの診療施設に所属する医師の人数を表す。売上２２３は、各エントリの診療施設における過去の所定の期間（例えば、特定の年又は特定の月）の医薬品の売上を表す。例えば、診療施設Ｈ１の売上は「２０」（単位は例えば１００万円）である。院外処方率２２４は、各エントリの診療施設における過去の所定の期間（例えば、特定の年又は特定の月）の院外処方の比率を表す。説明を簡単にするために施設距離ファイル１１１は診療施設を２つだけ含むが、診療施設数はこれより多くてもよい。また、施設距離ファイル１１１は、医師数２２２、売上２２３及び院外処方率２２４以外の項目を有していてもよい。 The medical facility information file 112 holds information regarding medical facilities. The medical facility name 211 represents the name of the medical facility. The explanation for the medical facility name 211 is similarly applied to the medical facility name 221. The number of doctors 222 represents the number of doctors belonging to the medical facility of each entry. The sales 223 represents the sales of the medicine in the past predetermined period (for example, a specific year or a specific month) in the medical facility of each entry. For example, the sales of the medical facility H1 is “20” (unit: 1 million yen, for example). The out-of-hospital prescription rate 224 represents the ratio of out-of-hospital prescription for a predetermined period in the past (for example, a specific year or a specific month) at the medical facility of each entry. In order to simplify the explanation, the facility distance file 111 includes only two medical facilities, but the number of medical facilities may be larger. The facility distance file 111 may have items other than the number of doctors 222, the sales 223, and the out-of-hospital prescription rate 224.
施設距離ファイル１１１及び診療施設情報ファイル１１２は、情報処理装置１００のユーザにより生成されて記憶部１０９に格納されてもよいし、情報処理装置１００の外部の装置から通信部１０４を通じてダウンロードされてもよい。外部の装置からこれらのファイルをダウンロードする場合に、ファイル全体を一括してダウンロードしてもよいし、ファイルのエントリごとに必要に応じてダウンロードしてもよい。 The facility distance file 111 and the medical facility information file 112 may be generated by a user of the information processing apparatus 100 and stored in the storage unit 109, or may be downloaded from a device external to the information processing apparatus 100 through the communication unit 104. Good. When downloading these files from an external device, the entire file may be downloaded at once, or may be downloaded as needed for each entry of the file.
続いて、図３のフローチャートを参照して、情報処理装置１００の動作例について説明する。動作開始前に記憶部１０９に施設距離ファイル１１１及び診療施設情報ファイル１１２が格納されているとする。 Next, an operation example of the information processing apparatus 100 will be described with reference to the flowchart of FIG. It is assumed that the facility distance file 111 and the medical facility information file 112 are stored in the storage unit 109 before the operation starts.
ステップＳ３０１で、規模取得部１０５は、診療施設情報ファイル１１２を参照して、各診療施設の処方規模を算出し、処方規模テーブル４１０を生成する。処方規模とは、診療施設が院外の薬局の医薬品の売上に与える影響の規模を表す数値のことである。例えば、一部の実施形態では、規模取得部１０５は、診療施設情報ファイル１１２の売上２２３と院外処方率２２４とを乗算することによって処方規模を算出する。このようにして生成された処方規模テーブル４１０を図４に示す。処方規模テーブル４１０において、処方規模４１２は各エントリの診療施設の処方規模を示す。規模取得部１０５は、処方規模テーブル４１０をメモリ１０２に格納してもよいし、記憶部１０９に格納してもよい。 In step S301, the scale acquisition unit 105 refers to the medical facility information file 112, calculates the prescription scale of each medical facility, and generates the prescription scale table 410. The prescribing scale is a numerical value representing the scale of the influence of the medical facility on the sales of pharmaceuticals in out-of-hospital pharmacies. For example, in some embodiments, the scale acquisition unit 105 calculates the prescription scale by multiplying the sales 223 of the medical facility information file 112 and the out-of-hospital prescription rate 224. The prescription scale table 410 generated in this way is shown in FIG. In the prescription scale table 410, the prescription scale 412 indicates the prescription scale of the medical facility of each entry. The scale acquisition unit 105 may store the prescription scale table 410 in the memory 102 or the storage unit 109.
処方規模を算出する方法は上記の例に限られない。規模取得部１０５は、例えば医師数２２２のみに基づいて処方規模を算出してもよいし、診療施設情報ファイル１１２に含まれない他のパラメータに基づいて処方規模を算出してもよい。また、上記の例では、規模取得部１０５は処方規模を自身が算出することによって取得したが、これに代えて、規模取得部１０５は情報処理装置１００の外部の装置から処方規模を受信することによって取得してもよい。 The method of calculating the prescription scale is not limited to the above example. The scale acquisition unit 105 may calculate the prescription scale based only on the number of doctors 222, for example, or may calculate the prescription scale based on other parameters not included in the medical facility information file 112. Further, in the above example, the scale acquisition unit 105 acquires the prescription scale by itself, but instead, the scale acquisition unit 105 receives the prescription scale from a device outside the information processing apparatus 100. May be obtained by
続いて、ステップＳ３０２で、関連度取得部１０６は、施設距離ファイル１１１を参照して、各診療施設に対する各薬局の関連度を算出し、関連度テーブル４２０を生成する。診療施設に対する薬局の関連度とは、当該診療施設により発行された処方箋の医薬品が当該薬局で購入される見込みを表す数値のことである。例えば、一部の実施形態では、関連度取得部１０６は、施設距離ファイル１１１に示される距離の２乗の逆数を取ることによって関連度を算出する。この算出方法は、診療施設に近い薬局ほど処方箋の医薬品が購入される見込みが高いという知見に基づく。このようにして生成された関連度テーブル４２０を図４に示す。関連度テーブル４２０において、各エントリは関連度を示す。関連度取得部１０６は、関連度テーブル４２０をメモリ１０２に格納してもよいし、記憶部１０９に格納してもよい。関連度取得部１０６は、得られた関連度が所定の閾値よりも小さい場合に、この関連度を「０」に置き換えることによって、後続の処理を簡略化してもよい。 Subsequently, in step S <b> 302, the association degree acquisition unit 106 refers to the facility distance file 111, calculates the association degree of each pharmacy with respect to each medical facility, and generates the association degree table 420. The degree of association of a pharmacy with a medical facility is a numerical value that represents the likelihood that a prescription medicine issued by the medical facility will be purchased at the pharmacy. For example, in some embodiments, the degree of association acquisition unit 106 calculates the degree of association by taking the reciprocal of the square of the distance indicated in the facility distance file 111. This calculation method is based on the knowledge that prescription drugs are more likely to be purchased at pharmacies that are closer to the clinic. FIG. 4 shows the association degree table 420 generated in this way. In the relevance level table 420, each entry indicates a relevance level. The relevance level acquisition unit 106 may store the relevance level table 420 in the memory 102 or the storage unit 109. When the obtained degree of association is smaller than a predetermined threshold, the degree of association acquisition unit 106 may simplify subsequent processing by replacing the degree of association with “0”.
処方規模を算出する方法は上記の例に限られない。関連度取得部１０６は、例えば診療施設と薬局との間の距離に他の関数を適用することによって関連度を算出してもよい。また、関連度取得部１０６は、距離に基づくのではなく、他のパラメータ、例えば診療施設から薬局までの移動時間や、薬局の知名度、宣伝量、売上などに基づいて関連度を算出してもよい。一般に、ある診療施設で処方された医薬品が、ある薬局で購入される見込みと、当該診療施設に対する当該薬局の関連度とが正の相関を有していればよい。また、上記の例では、関連度取得部１０６は関連度を算出することによって取得したが、これに代えて、関連度取得部１０６は情報処理装置１００の外部の装置から関連度を受信することによって取得してもよい。 The method of calculating the prescription scale is not limited to the above example. The association degree acquisition unit 106 may calculate the association degree by applying another function to the distance between the medical facility and the pharmacy, for example. In addition, the relevance level acquisition unit 106 may calculate the relevance level based on other parameters, for example, travel time from a medical facility to a pharmacy, pharmacy name recognition, advertising volume, sales, and the like, not based on distance. Good. Generally, it is only necessary that a drug prescribed at a medical facility has a positive correlation between the likelihood that a pharmaceutical product is purchased at a certain pharmacy and the degree of association of the pharmacy with the medical facility. In the above example, the degree-of-association acquisition unit 106 obtains the degree of association, but instead, the degree-of-association acquisition unit 106 receives the degree of association from an apparatus outside the information processing apparatus 100. May be obtained by
続いて、ステップＳ３０３で、寄与度算出部１０７は、処方規模テーブル４１０及び関連度テーブル４２０を参照して、薬局に対する診療施設の寄与度を算出し、寄与度テーブル４３０を生成する。寄与度算出部１０７は、すべての診療施設の寄与度を算出してもよいし、関心のある一部の診療施設についてのみ寄与度を算出してもよい。薬局に対する診療施設の寄与度とは、当該薬局において処方箋により販売される医薬品の売上に対して、当該診療施設がどの程度寄与したかを表す数値のことである。例えば、一部の実施形態では、寄与度算出部１０７は、寄与度が算出される対象の診療施設の処方規模と、当該対象の診療施設に対する各薬局の関連度とに基づいて、各薬局に対する当該診療施設の寄与度を算出する。寄与度算出部１０７は、対象の診療施設に対して所定の条件を満たす薬局についてのみ寄与度を算出し、条件を満たさない他の薬局の寄与度を「０」としてもよい。所定の条件の第１の例は、対象の診療施設に対する関連度の順位が所定の順位以内（例えば、上位４０個）であることである。所定の条件の第２の例は、対象の診療施設に対して所定の値以上の関連度を有することである。所定の条件の第３の例は、対象の診療施設と同じ区画（例えば、同じ町、市など）に含まれる薬局のことである。所定の条件の第４の例は、当該診療施設に対して正の関連度を有することである。 Subsequently, in step S303, the contribution calculation unit 107 refers to the prescription scale table 410 and the association table 420, calculates the contribution of the medical facility to the pharmacy, and generates the contribution table 430. The contribution calculation unit 107 may calculate the contributions of all the medical facilities or may calculate the contributions only for some of the medical facilities that are interested. The degree of contribution of a medical facility to a pharmacy is a numerical value indicating how much the medical facility has contributed to sales of pharmaceuticals sold by prescription at the pharmacy. For example, in some embodiments, the contribution calculation unit 107 is configured for each pharmacy based on the prescription scale of the target medical facility for which the contribution is calculated and the degree of association of each pharmacy with the target medical facility. The degree of contribution of the medical facility is calculated. The contribution degree calculation unit 107 may calculate the contribution degree only for pharmacies that satisfy a predetermined condition for the target medical facility, and may set the contribution degree of other pharmacies that do not satisfy the condition to “0”. The first example of the predetermined condition is that the rank of the degree of association with the target medical facility is within a predetermined rank (for example, the top 40). A second example of the predetermined condition is to have a degree of relevance greater than or equal to a predetermined value for the target medical facility. A third example of the predetermined condition is a pharmacy included in the same section (for example, the same town, city, etc.) as the target medical facility. A fourth example of the predetermined condition is having a positive degree of association with the medical facility.
所定の条件を満たす薬局が２つ以上存在する場合に、寄与度算出部１０７は、当該２つ以上の薬局の関連度の合計値に対する各薬局の関連度の比率を、対象の診療施設の処方規模に乗算することによって各薬局に対する寄与度を算出する。例えば、関連度テーブル４２０において、診療施設Ｈ１が対象の診療施設であり、診療施設Ｈ１に対して所定の条件を満たす薬局が薬局Ｐ１と薬局Ｐ２との２つだけであるとする。この場合に、寄与度算出部１０７は、診療施設Ｈ１に対する薬局Ｐ１の関連度「１」と診療施設Ｈ１に対する薬局Ｐ２の関連度「１／９」の合計値「１０／９」に対する薬局Ｐ１の関連度「１」の比率「９／１０」を診療施設Ｈ１の処方規模「１０」に乗算して得られた値「９」を、薬局Ｐ１に対する診療施設Ｈ１の寄与度とする。 When there are two or more pharmacies that satisfy the predetermined condition, the contribution calculation unit 107 calculates the ratio of the relevance level of each pharmacy to the total value of the relevance levels of the two or more pharmacies, and the prescription of the target medical facility. The contribution to each pharmacy is calculated by multiplying the scale. For example, in the association degree table 420, it is assumed that the medical facility H1 is the target medical facility, and that there are only two pharmacies, the pharmacy P1 and the pharmacy P2, that satisfy the predetermined condition for the medical facility H1. In this case, the contribution degree calculation unit 107 includes the pharmacy P1 with respect to the total value “10/9” of the degree of association “1” of the pharmacy P1 with respect to the medical facility H1 and the degree of association “1/9” of the pharmacy P2 with respect to the medical facility H1. The value “9” obtained by multiplying the prescription scale “10” of the medical facility H1 by the ratio “9/10” of the degree of association “1” is set as the contribution of the medical facility H1 to the pharmacy P1.
所定の条件を満たす薬局が１つしか存在しない場合に、対象の診療施設の処方規模が当該対象の薬局に対する当該診療施設の寄与度になる。所定の条件を満たす薬局が１つも存在しない場合に、すべての薬局に対する寄与度が「０」となる。 When there is only one pharmacy that satisfies the predetermined condition, the prescription scale of the target medical facility is the contribution of the medical facility to the target pharmacy. When there is no pharmacy that satisfies the predetermined condition, the contribution to all pharmacies is “0”.
このようにして生成された寄与度テーブル４３０を図４に示す。寄与度テーブル４３０において、各エントリは寄与度を示す。寄与度算出部１０７は、寄与度テーブル４３０をメモリ１０２に格納してもよいし、記憶部１０９に格納してもよい。 The contribution degree table 430 generated in this way is shown in FIG. In the contribution table 430, each entry indicates a contribution. The contribution degree calculation unit 107 may store the contribution degree table 430 in the memory 102 or may be stored in the storage unit 109.
寄与度を算出する方法は上記の例に限られない。所定の条件を満たす薬局が２つ以上存在する場合に、寄与度算出部１０７は、当該２つ以上の薬局の関連度から得られる値と、当該２つ以上の薬局のうちの１つの薬局の関連度と、対象の診療施設の処方規模とに関数を適用することによって当該１つの薬局に対する寄与度を算出すればよい。この関数では、１つの薬局に対する寄与度は、対象の診療施設の処方規模と当該１つの薬局の関連度とに対して正の相関を有する。これは、処方規模が大きい診療施設ほど薬局に対する寄与度が大きく、関連度が大きい薬局ほど診療施設から受ける寄与が大きくなるという知見に基づく。 The method for calculating the contribution is not limited to the above example. When there are two or more pharmacies that satisfy the predetermined condition, the contribution calculation unit 107 calculates the value obtained from the degree of association between the two or more pharmacies and the pharmacy of one of the two or more pharmacies. What is necessary is just to calculate the contribution with respect to the said one pharmacy by applying a function to a relevance degree and the prescription scale of a target medical treatment facility. In this function, the degree of contribution to one pharmacy has a positive correlation with the prescription scale of the target medical facility and the degree of association of the one pharmacy. This is based on the knowledge that a medical facility with a larger prescription scale has a greater contribution to the pharmacy and a pharmacy with a higher relevance has a greater contribution from the medical facility.
続いて、ステップＳ３０４で、係数算出部１０８は、寄与度テーブル４３０を参照して、診療施設に対する薬局の係数を算出し、係数テーブル４４０を生成する。係数算出部１０８は、すべての薬局の係数を算出してもよいし、関心のある一部の薬局についてのみ係数を算出してもよい。診療施設に対する薬局の係数とは、上述のように、診療施設における医薬品の売上に対して薬局における医薬品の売上を紐付ける際に用いられる係数のことである。例えば、一部の実施形態では、係数算出部１０８は、係数が算出される対象の薬局に対する各診療施設の寄与度に基づいて、各診療施設に対する当該薬局の寄与度を算出する。係数算出部１０８は、対象の薬局に対して正の値の寄与度を有する診療施設に対してのみ係数を算出し、寄与度が「０」である診療施設の係数を「０」とする。すなわち、対象の薬局における医薬品の売上に寄与していない診療施設に対しては当該薬局の売上を紐付けない。 Subsequently, in step S304, the coefficient calculation unit 108 refers to the contribution degree table 430, calculates the coefficient of the pharmacy for the medical facility, and generates the coefficient table 440. The coefficient calculation unit 108 may calculate coefficients for all pharmacies, or may calculate coefficients for only some pharmacies that are interested. The coefficient of the pharmacy for the medical facility is a coefficient used when associating the sales of the pharmaceutical in the pharmacy with the sales of the pharmaceutical in the medical facility as described above. For example, in some embodiments, the coefficient calculation unit 108 calculates the contribution degree of the pharmacy to each medical facility based on the contribution degree of each medical facility to the target pharmacy for which the coefficient is calculated. The coefficient calculation unit 108 calculates a coefficient only for a medical facility that has a positive contribution to the target pharmacy, and sets the coefficient of a medical facility that has a contribution of “0” to “0”. In other words, the sales of the pharmacy are not linked to the medical facility that does not contribute to the sales of the drug in the target pharmacy.
対象の薬局に対して正の値の寄与度を有する診療施設が２つ以上存在する場合に、係数算出部１０８は、当該２つ以上の診療施設の寄与度の合計値に対する各診療施設の寄与度の比率を、各診療施設に対する係数として算出する。例えば、寄与度テーブル４３０において、薬局Ｐ１が対象の薬局であり、薬局Ｐ１に対して正の寄与度を有する診療施設が診療施設Ｈ１と診療施設Ｈ２との２つだけであるとする。この場合に、係数算出部１０８は、薬局Ｐ１に対する診療施設Ｈ１の寄与度「９」と薬局Ｐ１に対する診療施設Ｈ２の寄与度「４」の合計値「１３」に対する診療施設Ｈ１の関連度「９」の比率「９／１３」を、診療施設Ｈ１に対する薬局Ｐ１の係数とする。 When there are two or more clinics having a positive contribution to the target pharmacy, the coefficient calculation unit 108 determines the contribution of each clinic to the total value of the contributions of the two or more clinics. The ratio of degrees is calculated as a coefficient for each medical facility. For example, in the contribution degree table 430, it is assumed that the pharmacy P1 is the target pharmacy and there are only two medical facilities, the medical facility H1 and the medical facility H2, that have a positive contribution to the pharmacy P1. In this case, the coefficient calculation unit 108 determines the degree of association “9” of the medical facility H1 with respect to the total value “13” of the contribution “9” of the medical facility H1 to the pharmacy P1 and the contribution “4” of the medical facility H2 to the pharmacy P1. "9/13" is a coefficient of the pharmacy P1 for the medical facility H1.
対象の薬局に対して正の値の寄与度を有する診療施設が１つしか存在しない場合に、この１つの診療施設に対する対象の薬局の係数は「１」となる。対象の薬局に対して正の値の寄与度を有する診療施設が１つも存在しない場合に、すべての診療施設に対する係数が「０」となる。 When there is only one clinic having a positive contribution to the target pharmacy, the coefficient of the target pharmacy for this one clinic is “1”. When there is no clinic that has a positive contribution to the target pharmacy, the coefficient for all clinics is “0”.
このようにして生成された係数テーブル４４０を図４に示す。係数テーブル４４０において、各エントリは係数を示す。係数算出部１０８は、係数テーブル４４０をメモリ１０２に格納してもよいし、記憶部１０９に格納してもよい。 FIG. 4 shows the coefficient table 440 generated in this way. In the coefficient table 440, each entry indicates a coefficient. The coefficient calculation unit 108 may store the coefficient table 440 in the memory 102 or the storage unit 109.
係数を算出する方法は上記の例に限られない。対象の薬局に対して正の値の寄与度を有する診療施設が２つ以上存在する場合に、係数算出部１０８は、当該２つ以上の診療施設の寄与度から得られる値と、当該２つ以上の診療施設のうちの１つの診療施設の寄与度とに関数を適用することによって当該１つの診療施設に対する係数を算出すればよい。この関数では、１つの診療施設に対する係数は、当該１つの診療施設の寄与度に対して正の相関を有する。これは、寄与度が大きな診療施設に大きな係数を割り当てたいという要求に基づく。 The method for calculating the coefficient is not limited to the above example. When there are two or more clinics having a positive contribution to the target pharmacy, the coefficient calculation unit 108 calculates the value obtained from the contributions of the two or more clinics and the two A coefficient for the one medical facility may be calculated by applying a function to the contribution degree of one of the above medical facilities. In this function, the coefficient for one clinic has a positive correlation with the contribution of the clinic. This is based on a request to assign a large coefficient to a medical facility with a large contribution.
上述の実施形態では診療施設ごとに薬局の係数を算出したが、さらに細かな粒度で薬局の係数を算出してもよい。例えば、診療施設の診療領域ごと（例えば、内科ごと、眼科ごとなど）薬局の係数を算出すればよい。例えば内科について各診療施設に対する薬局の係数を算出する場合には、上述の処方規模テーブル４１０の処方規模４１２として、各エントリの診療施設のうち内科による処方規模を取得すればよい。 In the above-described embodiment, the pharmacy coefficient is calculated for each medical facility, but the pharmacy coefficient may be calculated with a finer granularity. For example, the coefficient of a pharmacy may be calculated for each medical treatment area of a medical facility (for example, for each internal medicine, ophthalmology, etc.). For example, when calculating the coefficient of the pharmacy for each medical facility for the internal medicine, the prescription scale by the internal medicine among the medical facilities of each entry may be acquired as the prescription scale 412 of the prescription scale table 410 described above.
上述の実施形態では、情報処理装置１００は、取得した処方規模及び関連度に基づいて、各診療施設に対する各薬局の係数を機械的に算出することができ、係数の算出の効率が向上する。 In the above-described embodiment, the information processing apparatus 100 can mechanically calculate the coefficient of each pharmacy for each medical facility based on the acquired prescription scale and degree of association, and the coefficient calculation efficiency is improved.
１００ 情報処理装置、１０５ 規模取得部、１０６ 関連度取得部、１０７ 寄与度算出部、１０８ 係数算出部 DESCRIPTION OF SYMBOLS 100 Information processing apparatus, 105 Scale acquisition part, 106 Relevance degree acquisition part, 107 Contribution degree calculation part, 108 Coefficient calculation part
Claims (7)
診療施設の処方規模を取得する規模取得手段と、
診療施設に対する薬局の関連度を取得する関連度取得手段と、
対象の診療施設について、当該診療施設の処方規模と、当該診療施設に対する２つ以上の薬局の関連度とに基づいて、当該２つ以上の薬局に対する当該診療施設の寄与度を算出する寄与度算出手段と、
対象の薬局について、当該薬局に対する２つ以上の診療施設の寄与度に基づいて、当該２つ以上の診療施設に対する当該薬局の前記係数を算出する係数算出手段とを備えることを特徴とする情報処理装置。 An information processing apparatus for calculating a coefficient used when linking sales of pharmaceuticals at a pharmacy with sales of pharmaceuticals at a medical facility,
A scale acquisition means for acquiring the prescription scale of the medical facility;
Relevance level acquisition means for acquiring the relevance level of the pharmacy to the medical facility;
For the target medical facility, a contribution calculation that calculates the degree of contribution of the medical facility to the two or more pharmacies based on the prescription scale of the medical facility and the degree of association of the two or more pharmacies with the medical facility Means,
Information processing comprising: a target pharmacy, coefficient calculation means for calculating the coefficient of the pharmacy for the two or more medical facilities based on contributions of the two or more medical facilities to the pharmacy apparatus.
前記係数算出手段は、前記対象の薬局について、当該薬局に対する前記２つ以上の診療施設の寄与度と、当該薬局に対する前記２つ以上の診療施設のうちの１つの診療施設の寄与度とに基づいて、当該１つの診療施設に対する当該薬局の前記係数を算出することを特徴とする請求項１に記載の情報処理装置。 The degree-of-contribution calculation means includes, for the target medical facility, a value obtained from a prescription scale of the medical facility, a degree of association of the two or more pharmacies with the medical facility, and the two or more Based on the degree of association of one pharmacy among the pharmacies, the degree of contribution of the medical facility to the one pharmacy is calculated,
The coefficient calculation means is based on the contribution degree of the two or more medical facilities to the pharmacy and the contribution degree of one of the two or more medical facilities to the pharmacy for the target pharmacy. The information processing apparatus according to claim 1, wherein the coefficient of the pharmacy for the one medical facility is calculated.
前記係数算出手段が算出する係数は、前記１つの診療施設の寄与度に正の相関を有することを特徴とする請求項１又は２に記載の情報処理装置。 The contribution calculated by the contribution calculation means has a positive correlation between the prescription scale of the target medical facility and the relevance of the one pharmacy,
The information processing apparatus according to claim 1, wherein the coefficient calculated by the coefficient calculation unit has a positive correlation with the contribution degree of the one medical facility.
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