JP7282867B2 - Regional Comprehensive Care Business System - Google Patents

Regional Comprehensive Care Business System Download PDF

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JP7282867B2
JP7282867B2 JP2021208490A JP2021208490A JP7282867B2 JP 7282867 B2 JP7282867 B2 JP 7282867B2 JP 2021208490 A JP2021208490 A JP 2021208490A JP 2021208490 A JP2021208490 A JP 2021208490A JP 7282867 B2 JP7282867 B2 JP 7282867B2
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正史 近藤
崇文 福島
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Toshiba Corp
Toshiba Digital Solutions Corp
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本発明の実施形態は、介護保険事業を含めた地域包括ケア事業を実行するための地域包括ケア事業システムに関する。 An embodiment of the present invention relates to a regional comprehensive care business system for executing a regional comprehensive care business including a long-term care insurance business.

医療と介護の領域では、レセプトデータをはじめとし、電子化されたデータが数多く存在している。例えば、被保険者資格情報、医療レセプト情報、介護レセプト情報等を一元化したデータベースには、国民健康保険団体連合会が保有する国保データベース(医療介護統合DB)が存在している。医療と介護の情報を同時に保持した情報源が存在し、かつ在宅医療と介護の連携の推進が求められているが、在宅医療に関して定量的な現状把握ができておらず、連携を推進する施策等の活動の評価は困難であった。 In the fields of medical care and nursing care, there is a large amount of computerized data, including receipt data. For example, a national health insurance database (medical and long-term care integrated DB) owned by the Federation of National Health Insurance Organizations exists as a database that integrates insured person qualification information, medical receipt information, nursing care receipt information, and the like. There are information sources that hold information on medical care and nursing care at the same time, and there is a need to promote collaboration between home medical care and nursing care. It was difficult to evaluate such activities.

しかしながら、病院(特に慢性期病院)に入院している患者のように、在宅医療サービスが充実することで、退院を見込むことができる患者が存在しているという実情が分かっている。退院して自宅に戻ることが難しい要因に、自宅で在宅医療サービスを利用することができるか否か不明確であることが考えられる。また、在宅医療サービスを提供する事業者から見ても、ある地域にニーズが存在するか否かを知る手段がないため、サービスを展開し難い、といった在宅医療の推進を困難にしている要因が考えられる。 However, it is known that there are patients, such as patients who are hospitalized in hospitals (especially chronic hospitals), who can expect to be discharged from the hospital due to the enhancement of home medical care services. One of the reasons why it is difficult for people to return home after being discharged from the hospital is that it is unclear whether they can use home medical services at home. In addition, from the perspective of business operators providing home medical care services, there is no way to know whether there is a need in a certain area, so it is difficult to develop services. Conceivable.

例えば、現状、小地域単位で訪問診療が行われているが、この訪問診療の定量的な分析結果をもってしても、該当する小地域における訪問診療のニーズを把握することはできない。すなわち、在宅医療基盤が少ない、もしくはない地域においては、自宅で医療サービスを受けることができないため、ニーズを持つ潜在的在宅医療サービス利用者は病院に入院していると考えられる。 For example, at present, home-visit medical care is performed in units of small regions, but even with the quantitative analysis results of this home-visit medical care, it is not possible to grasp the needs of home-visit medical care in the relevant small region. In other words, in areas where there is little or no home care infrastructure, it is thought that potential users of home care services who have needs are hospitalized because they cannot receive medical services at home.

また、介護サービス利用者の中には、在宅医療サービスを受けることで心身状態を維持・改善させる可能性のある場合が考えられる。しかし、介護サービスのみを利用している場合、医療行為が必要か否かを判断できる医療の有識者と接する機会が無く、在宅医療サービスの潜在的ニーズを認識できない場合がある。 In addition, it is conceivable that some users of nursing care services may be able to maintain or improve their mental and physical conditions by receiving home medical care services. However, when only nursing care services are used, there is no opportunity to contact medical experts who can judge whether medical care is necessary or not, and there are cases where latent needs for home medical care services cannot be recognized.

なお、上記は在宅医療・介護連携に関するサービス量の分析に関して説明したが、介護保険サービス量の分析に関して同様の背景がある。すなわち、利用者の各種属性(疾病、要介護状態区分、認知症自立度、障害自立度、その他認定調査項目に係る心身状態、介護力等)にもとづき最適な(理想的な)介護保険サービスの組合せが想定されるが、実際にはそのサービスの組合せが達成されていないケースも多い。その理由としては、地域に居住している利用者の各種属性に応じた最適なサービス量を鑑みた整備が自治体の介護保険事業計画策定の際に考慮されていない点が考えられる。従来本課題を解決する解決策は十分講じられてこなかった。 Although the analysis of the amount of services related to home medical care and long-term care cooperation has been explained above, the analysis of the amount of long-term care insurance services has the same background. In other words, the optimal (ideal) long-term care insurance service based on the user's various attributes (disease, level of long-term care, degree of self-reliance with dementia, degree of self-reliance with disability, mental and physical condition related to other certification survey items, care ability, etc.) Although a combination is assumed, there are many cases in which the combination of services has not actually been achieved. The reason for this is thought to be that local governments do not take into account the provision of optimal service levels according to the various attributes of users living in the area when formulating long-term care insurance business plans. Conventionally, sufficient solutions have not been taken to solve this problem.

特開2002-132947号公報JP-A-2002-132947

前述の課題は、地域単位の在宅医療サービスの需要と供給の均衡を定量的に把握することで解決可能である。この場合、病院に入院して医療サービスを利用している在宅移行可能性医療サービス利用者、及び在宅医療サービスの潜在的ニーズを認識できていない状態で介護サービスを利用している在宅医療介護連携可能性福祉介護利用者の量を把握し、これを需要量とする。また、自宅にて医療サービスと介護サービスを利用している利用者、すなわち在宅医療と介護の連携を実現している利用者の量を供給量とする。需要量と供給量を小地域ごとに把握することで、どの小地域にどの程度の在宅医療・介護のサービス量を整備すべきかを明確にすることができる。 The aforementioned issues can be resolved by quantitatively grasping the balance between supply and demand for home care services on a regional basis. In this case, there is a possibility of transitioning to home medical service users who are hospitalized and using medical services, and home medical care cooperation who are using nursing care services without recognizing latent needs for home medical care services The number of potential welfare and long-term care users is grasped, and this is used as the demand amount. In addition, the amount of supply is defined as the number of users who use medical services and nursing care services at home, that is, the number of users who realize cooperation between home medical care and nursing care. By grasping the amount of demand and the amount of supply for each sub-region, it is possible to clarify the amount of home medical care and nursing care services that should be provided in which sub-region.

なお、上記において医療保険の適用されるサービスを医療サービス、介護保険の適用されるサービスを介護サービスと記載している。この表記は、以降も統一的に扱うこととする。また、福祉系の居宅介護サービス(訪問介護、通所介護、短期入所、訪問入浴、福祉用具貸与)を福祉系介護、医療系の居宅介護サービス(訪問看護、訪問リハビリ、通所リハビリ、居宅療養指導)を医療系介護、在宅医療サービスを在宅医療と略称表記する。 In the above description, services covered by medical insurance are referred to as medical services, and services covered by long-term care insurance are referred to as long-term care services. This notation will be treated uniformly hereafter. In addition, welfare-related in-home care services (home-visit care, outpatient care, short-term admission, home-visit bathing, rental of welfare equipment), welfare-related in-home care services, medical-related in-home care services (home-visit nursing, home-visit rehabilitation, outpatient rehabilitation, home care guidance) is abbreviated as home care, and home care service is abbreviated as home care.

また、前述した介護保険事業計画に係る課題についても、地域単位での利用者の各種属性(疾病、要介護状態区分、認知症自立度、障害自立度、その他認定調査項目に係る心身状態、介護力等)に応じた顕在している供給量と、それらの属性に対して必要となる需要量との把握により解決が可能である。 In addition, regarding the issues related to the long-term care insurance business plan mentioned above, various attributes of users in each region It is possible to solve the problem by grasping the apparent amount of supply according to the power, etc.) and the amount of demand required for those attributes.

本発明は、医療介護統合DBを利用して、これまでに定量化できなかった介護サービスの需要と供給の関係をも定量化し、介護サービスの最適供給を実現する地域包括ケア事業システムを提供することにある。 The present invention uses an integrated medical and nursing care database to quantify the relationship between demand and supply of nursing care services, which could not be quantified until now, and provides a regional integrated care business system that achieves optimal supply of nursing care services. That's what it is.

本発明の実施の形態に係る地域包括ケア事業システムは、医療及び介護に関する被保険者情報、レセプト情報、傷病名情報、要介護認定情報を少なくとも有する医療介護統合データベースを備えた情報源と、この情報源が有する情報を用い、心身状態の予め設定した複数の項目を有する介護保険利用者を、介護保険利用者の属性である疾病、要介護度、認知症自立度、障害自立度、認定調査項目、介護力に相当する心身状態等別の対象者として抽出し、これら抽出された対象者毎に、実際に受けている介護サービスの種類と、この介護サービスの種類別の量とを利用者別の心身状態等別サービスの顕在供給量として求めると共に、前記抽出された対象者毎に、心身状態である疾病、要介護度状態区分、認知症自立度、障害自立度、及び介護力の組合せ別に、各種介護サービスの要否と必要量を定義している心身状態等別サービス必要量判定表と、介護サービスを、訪問系介護サービス、通所系介護サービス、短記入所系介護サービス、及びその他のサービスに分類し、どのサービスが各種介護サービス分類に該当するかを定義している介護サービス判定表とから、各対象者が本来受けるべき介護サービスの種類とこの介護サービスの種類別の量とを利用者別の心身状態等別サービスの必要需要量として求め、これら顕在供給量と必要需要量との差異を、前記介護サービスの種類別に算出する機能を有する介護保険事業計画分析部とを備えたことを特徴とする。 An integrated community care business system according to an embodiment of the present invention includes an information source provided with an integrated medical and nursing care database having at least insured person information, medical insurance claim information, name of injury and disease information, and certification information requiring long-term care regarding medical care and nursing care; Using the information held by the information source, long-term care insurance users who have multiple preset items of mental and physical conditions , are the attributes of long-term care insurance users, disease, degree of long-term care, degree of independence with dementia, degree of independence with disability, certification survey Items, mental and physical conditions equivalent to care ability , etc. are extracted as subjects, and for each of these extracted subjects, the type of nursing care service that the user actually receives and the amount of this nursing care service by type In addition to calculating the apparent supply amount of services by different mental and physical conditions, etc., for each of the above-mentioned extracted subjects , the combination of the disease, which is the mental and physical condition, the level of care required, the degree of independence from dementia, the degree of independence from disability, and the ability to care Separately, there is a service requirement determination table by mental and physical condition that defines the necessity and required amount of various nursing care services, and nursing care services are divided into home-visit nursing care services, day care services, short office care services, and other services. , and from the nursing care service judgment table that defines which services fall under each category of nursing care service, the type of nursing care service that each subject should originally receive and the amount of each type of nursing care service as the necessary amount of demand for services classified by mental and physical conditions, etc., for each user, and calculating the difference between the apparent supply amount and the necessary demand amount for each type of nursing care service. characterized by

上記構成によれば、介護サービスの必要需要量と顕在供給量及び需要供給差異を客観的に示すことができる。 According to the above configuration, it is possible to objectively show the required demand amount, actual supply amount, and demand-supply difference of nursing care services.

本発明の実施形態に用いる情報源を説明する図である。It is a figure explaining the information source used for embodiment of this invention. 本発明の実施形態に係る地域包括ケア事業システムの全体構成を示す機能ブロック図である。BRIEF DESCRIPTION OF THE DRAWINGS It is a functional block diagram which shows the whole community comprehensive care business system structure which concerns on embodiment of this invention. 実施形態に用いる心身状態等別サービス必要判定表を示す図である。It is a figure which shows the service necessity determination table|surface classified by psychosomatic condition etc. used for embodiment. 実施形態に用いる介護サービス判定表を示す図である。It is a figure which shows the care service determination table|surface used for embodiment. 実施形態における利用者別心身状態等別サービス利用実績量(顕在供給量)算出ロジックを説明する図である。FIG. 10 is a diagram for explaining the calculation logic of service usage record amount (actual supply amount) classified by user's physical and mental condition, etc., in the embodiment. 実施形態における利用者別心身状態等別必要サービス量(必要需要量)算出ロジックを説明する図である。FIG. 4 is a diagram for explaining logic for calculating required service amount (required demand amount) for each user's individual mental and physical condition, etc. in the embodiment; 実施形態における小地域分析部の小地域別供給量の算出ロジックを説明する図である。FIG. 10 is a diagram for explaining the calculation logic of the supply amount for each sub-region of the sub-region analysis unit in the embodiment; 実施形態における小地域分析部の小地域別需要量の算出ロジックを説明する図である。It is a figure explaining the calculation logic of the demand amount classified by subregion of the subregion analysis part in embodiment. 実施形態における小地域分析部の小地域別需要供給差異の算出ロジックを説明する図である。FIG. 4 is a diagram for explaining calculation logic of a demand-supply difference for each sub-region by a sub-region analysis unit in the embodiment; 実施形態における介護サービスを細分化して分析を行う場合に用いる細分化された判定表を説明する図である。It is a figure explaining the subdivided determination table used when subdividing and analyzing the care service in embodiment.

以下、本発明の実施の形態について、図面を参照して詳細に説明する。 BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

図1は、この実施の形態に係る地域包括ケア事業システムで用いられる情報源1の構成を示す。図1において、情報源1のひとつである医療介護統合データベース(以下、医療介護統合DB)1.1は、被保険者情報1.1.1、医療レセプト情報1.1.2、介護レセプト情報1.1.3、傷病名情報1.1.4、要介護認定情報1.1.5、健診情報1.1.6を保持する。 FIG. 1 shows the configuration of an information source 1 used in the integrated community care business system according to this embodiment. In FIG. 1, an integrated medical and nursing care database (hereafter referred to as integrated medical and nursing care DB) 1.1, which is one of the information sources 1, includes insured person information 1.1.1, medical receipt information 1.1.2, nursing care receipt information 1.1.3, name of injury or disease information 1.1.4, long-term care requirement certification information 1.1.5, and medical examination information 1.1.6.

本発明の実施の形態では、被保険者情報1.1.1から個人を特定する番号(記号)、生年月日の年月から計算できる年齢、及び住所コードを活用する。また、医療レセプト情報1.1.2から診療行為の分類を認識する区分番号を、介護レセプト情報1.1.3から利用している介護のサービス種類コードを活用する。さらに、傷病名情報1.1.4及び要介護認定情報1.1.5から疾病情報と要介護状態区分を活用する。加えて、定量的分析の精度を向上させるため、医療介護統合DB1.1の上記以外の情報、及び医療介護統合DB1.1以外のその他情報源1.2を用いる。 In the embodiment of the present invention, a number (symbol) for identifying an individual, an age that can be calculated from the date of birth, and an address code are utilized from the insured person information 1.1.1. In addition, the classification number for recognizing the classification of medical treatment from the medical receipt information 1.1.2 and the nursing care service type code used from the nursing care receipt information 1.1.3 are utilized. Furthermore, the disease information and the classification of the state of need for care are utilized from the injury or disease name information 1.1.4 and the care need certification information 1.1.5. In addition, in order to improve the accuracy of the quantitative analysis, information other than the above in the integrated medical and nursing care DB 1.1 and other information sources 1.2 other than the integrated medical and nursing care DB 1.1 are used.

図2は、本発明の実施の形態に係る地域包括ケア事業システムの全体構成を示している。この地域包括ケア事業システムは、図1で示した情報源1を含むコンピュータシステムとして構築されており、以下説明する各機能ブロックは、このコンピュータシステムにより実行される機能を表している。 FIG. 2 shows the overall configuration of the regional comprehensive care business system according to the embodiment of the present invention. This regional comprehensive care business system is constructed as a computer system including the information source 1 shown in FIG. 1, and each functional block described below represents a function executed by this computer system.

図2の地域包括ケア事業システムの主体となる介護保険事業計画分析部16は、介護保険事業計画区分別対象者抽出部16.1、小地域設定部2.2、小地域分析部16.2を有する。 The long-term care insurance business plan analysis unit 16, which is the main body of the regional comprehensive care business system in FIG. have

介護保険事業計画区分別対象者抽出部16.1は、医療介護統合DB1.1を用いて、心身状態等別対象者の抽出部16.1.1により心身状態等別対象者の抽出を行う。ここで、心身状態等とは、介護保険利用者の各種属性(疾病、要介護度、認知症自立度、障害自立度、認定調査項目、介護力等)に相当する。心身状態等別対象者とは、介護保険利用者のうち、予め設定した上述の各種属性を有する対象者である。心身状態等別対象者の抽出部16.1.1は、図1で示した医療介護統合DB1.1の、被保険者情報1.1.1、医療レセプト情報1.1.2、介護レセプト情報1.1.3、要介護認定情報1.1.5を用いて上述した対象者を抽出する。 The target person extraction unit 16.1 by long-term care insurance business plan classification uses the medical care integrated DB 1.1 to extract the target person by mental and physical condition, etc. by the extraction unit 16.1.1 of the target person by mental and physical condition, etc. . Here, the mental and physical conditions and the like correspond to various attributes of users of long-term care insurance (disease, level of nursing care required, degree of self-reliance with dementia, degree of self-reliance with disability, certification survey items, care ability, etc.). Subjects classified by mental and physical conditions, etc. are subjects having various attributes set in advance among users of long-term care insurance. The extracting unit 16.1.1 of subjects classified by mental and physical conditions, etc., extracts the insured person information 1.1.1, the medical insurance claim information 1.1.2, the nursing care insurance claim, and the medical care insurance integrated DB 1.1 shown in FIG. The target person mentioned above is extracted using the information 1.1.3 and the long-term care requirement certification information 1.1.5.

小地域設定部2.2は、住所コードと小地域の関連を定義する。すなわち、小地域区分決定部2.2.1で小地域区分の決定を行い、その結果を表形式化する住所コード小地域区分関連設定部2.2.2で住所コードと小地域との関連を設定する。 The subregion setting section 2.2 defines the relationship between address codes and subregions. That is, the sub-area division determination unit 2.2.1 determines sub-area divisions, and the address code sub-region division association setting unit 2.2.2 converts the results into a tabular format. set.

小地域分析部16.2は、小地域ごとに介護サービスの後述する需要供給量を分析するもので、上述した抽出結果について、利用者小地域特定部16.2.1により、住所コードを活用して小地域特定を行う。また、各算出部16.2.2および16.2.3により小地域別に介護サービスの需要供給量、すなわち、顕在供給量と必要需要量を算出する。さらに、小地域別に算出した需要供給の定量的な値から、小地域別需要供給差異算出部16.2.4により小地域別の需要供給差異の算出を行う。 The sub-region analysis unit 16.2 analyzes the supply and demand of nursing care services, which will be described later, for each sub-region, and the user sub-region identification unit 16.2. to identify a small area. Calculation units 16.2.2 and 16.2.3 also calculate the supply and demand for nursing care services, that is, the actual supply and the required demand for each subregion. Furthermore, from the quantitative value of the demand and supply calculated for each sub-region, the sub-region demand and supply difference calculation unit 16.2.4 calculates the sub-region demand and supply difference.

なお、顕在供給量とは、抽出された対象者が実際に受けているサービス量であり、必要需要量とは、抽出された対象者が本来受けるべきサービス量である。 The actual supply amount is the amount of service actually received by the extracted target person, and the required demand amount is the amount of service that the extracted target person should originally receive.

図3は、心身状態等別サービス必要量判定部17のデータ構成を示す判定表(以下、これを心身状態等別サービス必要量判定表17と呼ぶ)を示している。この心身状態等別サービス必要量判定表17では、介護サービスを、訪問系介護サービス、通所系介護サービス、及び短期入所系介護サービスに分類している。心身状態(各属性)については、それぞれ判定値、すなわち、疾病では疾病1~疾病5、要介護度状態区分では要支援1~要介護5、認知症自立度ではI~M、障害自立度ではJ,A,B,C、及び介護力では大、小等が設定されている。 FIG. 3 shows a determination table (hereinafter referred to as the required service amount determination table 17 for each mental and physical condition) showing the data configuration of the required service amount determination unit 17 for each mental and physical condition. In this mental and physical condition-based service requirement determination table 17, nursing care services are classified into home-visit nursing care services, outpatient nursing care services, and short-term admission nursing care services. Regarding mental and physical conditions (each attribute), each judgment value, that is, disease 1 to 5, care need level condition classification support 1 to care need 5, dementia independence level I to M, disability independence level J, A, B, C, and care force are set to large, small, and the like.

この心身状態等別サービス必要量判定表17では、心身状態である疾病、要介護度状態区分、認知症自立度、障害自立度、及び介護力の組合せによって、各心身状態の対象者が本来どのような介護サービスを受けるべきかを判定するため、各種介護サービスの要否(白丸の有無)と必要量(単位数、回(日)数)を定義している。 In this mental and physical condition-specific service required amount determination table 17, depending on the combination of the physical and mental condition disease, level of nursing care level, dementia independence level, disability independence level, and care ability, what kind of person is the subject of each mental and physical condition? In order to determine whether or not to receive such care services, it defines the necessity (whether or not there is a white circle) and the required amount (number of units, times (days)) of various care services.

ここで介護力とは、例として、独居(介護力なし)、同居(介護力あり)、及び同居(介護力なし)などを想定している。 Here, the care ability is assumed to be, for example, living alone (no care ability), living together (with care ability), and living together (no care ability).

なお、疾病以外に、医療に係る状態像項目である各種検査項目(疾病の状態を評価するための血液検査結果等)との組合せにより、疾病の治癒状況等とサービスの対応関係も考慮することが可能になる。さらに、要介護状態区分、認知症自立度、及び障害自立度以外に、各種認定調査項目(第1群:ADL、第2群:IADL、第3群:認知機能、第4群:精神・行動障害等)との組合せとサービスの対応関係を踏まえて、心身状態と介護サービスの対応関係も考慮することができる。さらに、介護力以外に、経済力(保険料段階等)なども考慮することも可能である。 In addition to the disease, consider the relationship between the healing status of the disease and the service by combining various test items (blood test results for evaluating the state of the disease, etc.), which are status items related to medical care. becomes possible. Furthermore, in addition to the long-term care status classification, dementia independence, and disability independence, various certification survey items (group 1: ADL, group 2: IADL, group 3: cognitive function, group 4: mental/behavior Disability, etc.) can also be considered based on the correspondence relationship between mental and physical conditions and nursing care services. Furthermore, it is also possible to consider economic capacity (insurance premium level, etc.) in addition to nursing care capacity.

図4は、介護サービス判定部18のデータ構成を表す判定表(以下、これを介護サービス判定表18と呼ぶ)を示している。この介護サービス判定表18では、介護サービスを分類し、かつ具体的なサービス名を列挙して、どのサービスが各種介護サービス分類に該当するか否かの判定を定義している。すなわち、介護サービス判定表18では、介護サービスを、訪問系介護サービス、通所系介護サービス、短記入所系介護サービス、及びその他のサービスに分類する。 FIG. 4 shows a determination table representing the data configuration of the care service determination unit 18 (hereinafter referred to as the care service determination table 18). In this care service determination table 18, care services are classified, specific service names are listed, and determination as to which service corresponds to various care service classifications is defined. That is, in the care service determination table 18, the care services are classified into visiting care services, outpatient care services, short office care services, and other services.

訪問系介護サービスとしては、訪問介護、訪問入浴、訪問看護、訪問リハビリテーション、及び居宅療養管理指導等がある。通所系介護サービスとしては、通所介護、通所リハビリ等がある。短期入所系介護サービスとしては、短期入所生活介護、短期入所生活介護(老健)等がある。その他サービスとしては、特養等の施設系サービスや、グループホームや特定施設入所者生活介護、及び小規模多機能等がある。 Home-visit care services include home-visit care, home-visit bathing, home-visit nursing care, home-visit rehabilitation, and home care management guidance. Day care services include day care, day rehabilitation, and the like. Short-term inpatient care services include short-term inpatient life care and short-term inpatient life care (health for the elderly). Other services include facility-based services such as special nursing homes, group homes, living care for residents of specific facilities, and small-scale multi-functional services.

介護サービス判定表18は、上述した各介護サービスを介護サービス名(介護1~介護6)で表し、これらの介護サービスが、訪問系介護サービス、通諸系介護サービス、短期入所系介護サービス、及びその他サービスのどれに該当するかを白丸印で定義している。 Nursing care service determination table 18 represents each of the above-mentioned nursing care services by a nursing service name (nursing care 1 to nursing care 6), and these nursing care services are home-visit nursing care services, general nursing care services, short-term admission nursing care services, and Which of the other services corresponds is defined with a white circle mark.

サービスの判定定義は、上記判定表を更新することで変更が可能である。 Service determination definitions can be changed by updating the above determination table.

図2で示した介護保険事業計画区分別対象者抽出部16.1は、前述のように、医療介護統合DB1.1を情報源とし、その被保険者情報1.1.1、医療レセプト情報1.1.2、介護レセプト情報1.1.3、要介護認定情報1.1.5、及びその他DB1.2の情報に基づいて、心身状態等別対象者を抽出するが、ここでは抽出された対象者について、利用者別の心身状態等別サービス利用実績(顕在供給量)を抽出すると共に利用者別の心身状態等別サービス必要量(必要需要量)を抽出する。これらの具体的な過程を図5、図6にて説明する。 The target person extraction unit 16.1 by long-term care insurance business plan classification shown in FIG. Based on 1.1.2, nursing care receipt information 1.1.3, nursing care certification information 1.1.5, and other information in DB 1.2, the subject by mental and physical condition etc. is extracted, but here it is extracted For the selected target person, the actual service usage record (actual supply amount) classified by mental and physical conditions, etc., for each user is extracted, and the service required amount (required demand amount) classified by mental and physical conditions, etc. for each user is extracted. These specific processes will be described with reference to FIGS. 5 and 6. FIG.

図5で示すように、利用者別の心身状態等別サービス利用実績(顕在供給量)19は、医療介護統合DB1.1の各種実績情報と、住所コード等を有するその他DB1.2を情報源とし、図4で示した介護サービス判定表18を用いて抽出される。この際、抽出データには、利用者ごとに住所コードが紐づいている。 As shown in FIG. 5, service usage record (actual supply amount) 19 by user's mental and physical condition is obtained from various record information in medical care integrated DB 1.1 and other DB 1.2 having address codes etc. as information sources. , and is extracted using the care service determination table 18 shown in FIG. At this time, the extracted data is associated with an address code for each user.

図5では、医療介護統合DB1.1及びその他DB1.2の各種情報から抽出された対象者のうち、例えば、利用者個人記号[a3692a2]の利用者は、各心身状態が疾病名[疾病1]、要介護状態区分[要介護3]、認知症自立度[I]、障害自立度[J2]、介護力[介護力大]であり、実際受けているサービスが訪問系介護サービスの、介護サービス名[介護1]、単位数[600]、回(日)数[3]と、通所系介護サービスの、介護サービス名[介護3]、単位数[800]、回(日)数[5]との2種類であり、短期入所系介護サービスは受けていない、ことを表している。 In FIG. 5, among the subjects extracted from the various information in the integrated medical and nursing care DB 1.1 and the other DB 1.2, for example, the user with the individual user code [a3692a2] has a disease name [disease 1 ], nursing care level category [need nursing care 3], degree of independence with dementia [I], degree of independence with disability [J2], and care ability [high care ability]. Service name [Nursing care 1], number of units [600], number of times (days) [3], and care service name [Nursing care 3], number of units [800], number of times (days) [5] ], indicating that they do not receive short-term nursing care services.

これに対し、図6は、利用者別の心身状態等別サービス必要量(必要需要量)20を表している。この必要需要量20は、医療介護統合DB1.1の被保険者情報1.1.1と、住所コード等を有するその他DB1.2を情報源とし、図3で示した心身状態等別サービス必要量判定表17と図4で示した介護サービス判定表18を用いて抽出される。この際も、抽出データには、利用者ごとに住所コードが紐づいている。 On the other hand, FIG. 6 shows the service required amount (necessary demand amount) 20 by mental and physical condition, etc. for each user. This necessary demand amount 20 is obtained from the insured person information 1.1.1 of the integrated medical and nursing care DB 1.1 and the other DB 1.2 having address codes, etc. It is extracted using the amount judgment table 17 and the care service judgment table 18 shown in FIG. In this case as well, the extracted data is associated with an address code for each user.

図6では、医療介護統合DB1.1及びその他DB1.2の各種情報から抽出された対象者のうち、図5で説明した利用者と同じ対象者、すなわち、利用者個人記号[a3692a2]の利用者についてみると、心身状態は、疾病名[疾病1]、要介護状態区分[要介護3]、認知症自立度[I]、障害自立度[J2]、介護力[介護力大]と同じであるが、本来受けるべきサービスは、訪問系介護サービスの、介護サービス名[介護1]、単位数[900]、回(日)数[5]と、通所系介護サービスの介護サービス名[介護3]。単位数[1200]、回(日)数[8]との2種類であり、短期入所系介護サービスは受けていない。 In FIG. 6, the same target person as the user explained in FIG. For the person, the mental and physical condition is the same as the name of disease [disease 1], level of nursing care requirement [3], degree of independence with dementia [I], degree of independence with disability [J2], and care ability [high care ability]. However, the services that should be received are the care service name [care 1], the number of units [900], the number of times (days) [5], and the care service name [care 3]. There are two types, the number of units [1200] and the number of times (days) [8], and no short-term inpatient nursing care service is received.

このように、心身状態が同じ利用者個人記号[a3692a2]の利用者について、図6で示す本来受けるべき介護サービス量と、図5で示す実際に受けている介護サービス量との間に差が生じている。 In this way, there is a difference between the amount of nursing care service that should be received in FIG. 6 and the amount of nursing care service actually received in FIG. is occurring.

次に、これらの需要供給量を、図2で示した小地域分析部16.2により小地域ごとに分析する。すなわち、図5と図6で示した利用者別の心身状態等別サービス利用実績量(顕在供給量)19と利用者別の心身状態等別サービス必要量(必要需要量)20の抽出結果について、利用者小地域特定部16.2.1により、住所コードを活用して利用者の小地域特定を行い、各算出部16.2.2及び16.2.3により小地域別の顕在供給量と必要需要量を算出する。さらに、小地域別に算出した需要供給の定量的な値から、小地域別需要供給差異算出部16.2.4により小地域別の需要供給差異の算出を行う。以下、これらの詳細説明を行う。 Next, these demand and supply quantities are analyzed for each sub-region by the sub-region analysis unit 16.2 shown in FIG. That is, regarding the extraction results of the actual service usage amount (actual supply amount) 19 by user's mental and physical condition, etc. shown in FIGS. , the user subregion identification unit 16.2.1 uses the address code to identify the subregion of the user, and the calculation units 16.2.2 and 16.2.3 determine the actual supply by subregion. Calculate quantity and required quantity. Furthermore, from the quantitative value of the demand and supply calculated for each sub-region, the sub-region demand and supply difference calculation unit 16.2.4 calculates the sub-region demand and supply difference. These will be described in detail below.

まず、顕在供給量の算出について図7を用いて説明する。図2で示した小地域別心身状態等別サービス種類別の顕在供給量算出部16.2.2は、前述のように抽出部16.1.1で抽出された、利用者別心身状態等別サービス利用実績(顕在供給量)19から、小地域区分表11.1や追加抽出条件11.2を用いて、地域別に人数を重複除去カウントし、単位数の和や回数の和を顕在供給量として算出した小地域別顕在供給量分析表21を作成する。 First, calculation of the apparent supply amount will be described with reference to FIG. The apparent supply amount calculation unit 16.2.2 for each service type by service type, such as mental and physical conditions by small area, shown in FIG. From the results of other service usage (actual supply amount) 19, the number of people by area is counted to eliminate duplication using the sub-area classification table 11.1 and additional extraction conditions 11.2, and the sum of the number of units and the sum of the number of times is the actual supply An actual supply amount analysis table 21 for each sub-region calculated as an amount is created.

小地域区分表11.1は住所コードを小地域に関連付けした表である。また、顕在供給量を算出する際に追加抽出条件11.2による条件設定を行うことで、様々な場合の供給量の算出を実現できる。例えば、サービス種類や年齢などの情報を活用した抽出条件を適用することができる。さらに、介護や生活に係る状態像項目と合わせて抽出を行うことで、各種認定調査項目(ADL、IADL、認知機能、精神・行動障害等)との組合せによる抽出も可能になる。 The sub-area division table 11.1 is a table that associates address codes with sub-areas. Further, by setting conditions according to the additional extraction condition 11.2 when calculating the actual supply amount, it is possible to calculate the supply amount in various cases. For example, it is possible to apply extraction conditions that utilize information such as service types and ages. Furthermore, by performing extraction together with state image items related to nursing care and life, it is possible to extract by combining various certified survey items (ADL, IADL, cognitive function, mental/behavioral disorders, etc.).

次に、必要需要量の算出について図8を用いて説明する。図2で示した小地域別心身状態等別サービス種類別の必要需要量算出部16.2.3は、前述のように抽出部16.1.1で抽出された、利用者別心身状態等別サービス必要量(必要需要量)20から、小地域区分表11.1や追加抽出条件11.2を用いて小地域別に人数を重複除去カウントし、単位数の和や回数の和を必要需要量として算出した小地域別必要需要量分析表22を作成する。 Next, the calculation of the required amount of demand will be described with reference to FIG. The necessary demand amount calculation unit 16.2.3 for each service type by service type, such as mental and physical conditions by small area shown in FIG. From the separate service required amount (necessary demand amount) 20, the number of people for each small area is counted by removing duplicates using the small area classification table 11.1 and the additional extraction condition 11.2, and the sum of the number of units and the sum of the number of times is calculated as the required demand A necessary demand quantity analysis table 22 for each sub-region calculated as a quantity is created.

なお、単位数と回数の必要需要量は、心身状態等別サービス必要量判定表17に定義した値によるものであり、人数の需要量及び供給量は医療介護統合DB1.1から算出した値である。 In addition, the required amount of units and number of times is based on the values defined in the mental and physical condition etc. service required amount determination table 17, and the demanded amount and supply amount of the number of people are the values calculated from the medical care integrated DB 1.1 be.

図2で示した小地域別需要供給差異算出部16.2.4は、上述のように小地域別に算出した需要供給の定量的な値から小地域別の需要供給差異の算出を行う。以下、図9を用いて詳述する。 The demand and supply difference calculation unit 16.2.4 for each subregion shown in FIG. 2 calculates the demand and supply difference for each subregion from the quantitative values of demand and supply calculated for each subregion as described above. Details will be described below with reference to FIG.

図9で示すように、小地域別需要供給差異算出部16.2.4は、前述した小地域別顕在供給量分析表21及び小地域別必要需要量分析表22から、サービス分類別に需要量(人数、単位数、回(日)数)及び供給量(同左)の和をそれぞれ算出し、小地域別需要供給量分析表23.1で示す結果を得る。さらに、需要の対供給比率を以下の式(2)で定義する。 As shown in FIG. 9, the sub-regional demand and supply difference calculation unit 16.2.4 calculates demand for each service category from the aforementioned sub-regional apparent supply analysis table 21 and sub-regional required demand analysis table 22. Calculate the sum of (the number of people, the number of units, the number of times (days)) and the amount of supply (same as the left), and obtain the results shown in Table 23.1 of Analysis of Demand and Supply by Small Area. Furthermore, the ratio of demand to supply is defined by the following equation (2).

需要の対供給比率 = 必要需要量 ÷ 顕在供給量 ・・・(2)
図9の例の人数における需要の対供給比率は、小地域a、小地域b、小地域cそれぞれ、次のように算出される。
Ratio of demand to supply = Necessary demand ÷ Apparent supply (2)
The demand-to-supply ratio of the number of people in the example of FIG. 9 is calculated as follows for each of subregion a, subregion b, and subregion c.

小地域aの需要の対供給比率=75÷50=1.5
小地域bの需要の対供給比率=45÷30=1.5
小地域cの需要の対供給比率=15÷10=1.5
このとき、供給量について、既存の介護サービス提供者の提供している介護サービス量が能力を超えている、もしくはその逆であるかを考慮した供給量調整を調整部23.2で行うことが考えられる。具体的には、算出の分母である供給量に調整量を乗算することで実現する。これは、需要供給差異に対して、介護サービス提供者の体制を変更しなくても需要供給の均衡を保つことができる可能性を考慮するための処理である。
Demand to supply ratio of subregion a = 75/50 = 1.5
Demand to supply ratio of subregion b = 45/30 = 1.5
Demand to supply ratio of subregion c = 15/10 = 1.5
At this time, the adjustment unit 23.2 can adjust the supply amount considering whether the amount of nursing care service provided by the existing nursing care service provider exceeds the capacity or vice versa. Conceivable. Specifically, it is realized by multiplying the supply amount, which is the denominator of the calculation, by the adjustment amount. This is a process for considering the possibility of maintaining a balance between demand and supply without changing the care service provider's system against the difference between supply and demand.

図10で示すように、サービス種類の分類を細分化することが可能である。図3~図9では、3種類の大分類(訪問系介護サービス、通所系介護サービス、短期入所系介護サービス)として説明したが、それぞれの大分類を構成するサービス種類に細分化して同様の分析を実施することができる。すなわち、訪問系介護サービスとしては、訪問介護、訪問入浴、訪問看護、訪問リハビリテーション、及び居宅療養管理指導等に分け、通所系介護サービスとしては、通所介護、通所リハビリ等に分け、短期入所系介護サービスとしては、短期入所生活介護、短期入所生活介護(老健)等に分けて集計分析を行ってもよい。このとき、3種類の大分類の場合と同じ手法で分析が可能である。 As shown in FIG. 10, the classification of service types can be subdivided. In Figures 3 to 9, three major categories (home-visit care services, outpatient care services, and short-term inpatient care services) were explained, but the same analysis was performed by subdividing into the service types that make up each major category. can be implemented. In other words, home-visit care services are divided into home-visit care, home-visit bathing, home-visit nursing, home-visit rehabilitation, and in-home care management guidance, etc., and outpatient care services are divided into outpatient care, outpatient rehabilitation, etc., and short-term inpatient care. The services may be divided into short-term inpatient life care, short-term inpatient life care (elderly health care), and the like, and aggregate analysis may be performed. At this time, the analysis can be performed by the same method as in the case of the three major classifications.

本発明のいくつかの実施形態を説明したが、これらの実施形態は例として提示したものであり、発明の範囲を限定することは意図していない。これら新規な実施形態は、その他のさまざまな形態で実施されることが可能であり、発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更を行うことができる。これらの実施形態やその変形は、発明の範囲や要旨に含まれると共に、特許請求の範囲に記載された発明とその均等の範囲に含まれる。 While several embodiments of the invention have been described, these embodiments have been presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are included in the scope of the invention described in the claims and equivalents thereof.

1…情報源
1.1…医療介護統合DB
1.1.1…被保険者情報
1.1.2…医療レセプト情報
1.1.3…介護レセプト情報
1.1.4…傷病名情報
1.1.5…要介護認定情報
1.1.6…健診情報
1.2…その他情報源(医療介護統合DBの情報と関連付け可能な情報)
2…在宅医療介護連携分析部
2.2…小地域設定部
2.2.1…小地域区分決定部
2.2.2…住所コード小地域区分関連設定部
16…介護保険事業計画分析部
16.1…介護保険事業計画区分別対象者抽出部
16.1.1…心身状態等別対象者の抽出部
16.2…小地域分析部
16.2.1…利用者小地域特定部
16.2.2…小地域別心身状態等別サービス種類別顕在供給量算出部
16.2.3…小地域別心身状態等別サービス種類別必要需要量算出部
16.2.4…小地域別需要供給差異算出部
17…心身状態等別サービス必要量判定表
18…介護サービス判定表
19…利用者別心身状態等別サービス利用実績量(顕在供給量)
20…利用者別心身状態等別サービス必要量(必要需要量)
21…小地域別供給量分析表
22…小地域別需要量分析表
23.1…小地域別需要供給量分析表
23.2…供給量調整部
24…細分化版介護サービス判定表


1...Information source 1.1...Integrated medical care database
1.1.1 Insured Person Information 1.1.2 Medical Receipt Information 1.1.3 Nursing Care Receipt Information 1.1.4 Injury or Sickness Name Information 1.1.5 Nursing Care Certification Information 1.1 .6 Health checkup information 1.2 Other information sources (information that can be associated with information in the integrated medical and nursing care DB)
2 Home medical care cooperation analysis part 2.2 Small area setting part 2.2.1 Small area classification determination part 2.2.2 Address code small area classification related setting part 16 Long-term care insurance business plan analysis part 16 16.1...Target person extraction unit by long-term care insurance business plan classification 16.1.1...Target person extraction unit by mental and physical condition, etc. 16.2...Small area analysis unit 16.2.1...User small area identification unit 16.1. 2.2 Calculation unit for actual supply amount by service type by physical and mental condition, etc. by sub-region 16.2.3 Calculation unit for required demand amount by service type by physical and mental condition, etc. by sub-region 16.2.4 Demand by sub-region Supply difference calculation unit 17 -- Service required amount determination table by mental and physical condition, etc. 18 -- Nursing care service determination table 19 -- Actual service usage amount (apparent supply amount) by user, by mental and physical condition, etc.
20 … Required amount of service (necessary amount of demand) according to physical and mental condition, etc., of each user
21... Small area supply analysis table 22. Small area demand analysis table 23.1. Small area demand and supply analysis table 23.2.


Claims (4)

医療及び介護に関する被保険者情報、レセプト情報、傷病名情報、要介護認定情報を少なくとも有する医療介護統合データベースを備えた情報源と、
この情報源が有する情報を用い、心身状態の予め設定した複数の項目を有する介護保険利用者を、介護保険利用者の属性である疾病、要介護度、認知症自立度、障害自立度、認定調査項目、介護力に相当する心身状態等別の対象者として抽出し、これら抽出された対象者毎に、実際に受けている介護サービスの種類と、この介護サービスの種類別の量とを利用者別の心身状態等別サービスの顕在供給量として求めると共に、前記抽出された対象者毎に、心身状態である疾病、要介護度状態区分、認知症自立度、障害自立度、及び介護力の組合せ別に、各種介護サービスの要否と必要量を定義している心身状態等別サービス必要量判定表と、介護サービスを、訪問系介護サービス、通所系介護サービス、短記入所系介護サービス、及びその他のサービスに分類し、どのサービスが各種介護サービス分類に該当するかを定義している介護サービス判定表とから、各対象者が本来受けるべき介護サービスの種類とこの介護サービスの種類別の量とを利用者別の心身状態等別サービスの必要需要量として求め、これら顕在供給量と必要需要量との差異を、前記介護サービスの種類別に算出する機能を有する介護保険事業計画分析部と、
を備えたことを特徴とする地域包括ケア事業システム。
an information source comprising an integrated medical and nursing care database having at least insured person information, claim information, injury or disease name information, and long-term care certification information regarding medical and nursing care;
Using the information held by this information source, long-term care insurance users who have multiple preset items of mental and physical conditions are identified as attributes of long-term care insurance users, such as illness, degree of care required, degree of independence with dementia, degree of independence with disability, and certification. The subjects are extracted according to survey items, mental and physical condition equivalent to care ability , etc., and for each of these extracted subjects, the type of nursing care service actually received and the amount of this nursing service by type are used. In addition to obtaining the apparent supply amount of services by mental and physical conditions, etc. for each person, for each of the extracted subjects, the physical and mental conditions of disease, level of care need, degree of independence with dementia, degree of independence with disability, and care ability For each combination, there is a service requirement judgment table by mental and physical condition that defines the necessity and required amount of various nursing care services, and nursing care services are divided into home-visit nursing care services, day care services, short office care services, and Based on the long-term care service judgment table that categorizes into other services and defines which services fall under each type of long-term care service classification, the type of long-term care service that each subject should originally receive and the amount of each type of long-term care service as the required amount of demand for services by mental and physical condition, etc., for each user, and the difference between the actual supply amount and the required amount of demand is calculated for each type of nursing care service;
A regional comprehensive care business system characterized by comprising:
前記介護保険事業計画分析部は、
前記情報源が有する情報を用い、前記利用者別の心身状態等別サービスの顕在供給量と、前記利用者別の心身状態等別サービスの必要需要量とを求める心身状態等別対象者抽出部と、
住所コードと予め決定された小地域区分の決定との関連が設定された小地域設定部と、
前記心身状態等別対象者抽出部で求められた前記顕在供給量と前記必要需要量とから小地域別の顕在供給量と必要需要量とを算出し、これら顕在供給量と必要需要量との差異を小地域別に算出する小地域分析部と、
を有することを特徴とする請求項1に記載の地域包括ケア事業システム。
The long-term care insurance business plan analysis department
A target person extraction unit for each mental and physical condition, etc., that obtains the actual supply amount of the service for each mental and physical condition, etc. for each user and the necessary demand amount for the service for each user, for each mental and physical condition, using the information held by the information source. and,
a sub-region setting unit in which a relationship between an address code and determination of a pre-determined sub-region division is set;
Calculate the actual supply and the necessary demand for each sub-region from the actual supply and the necessary demand obtained by the subject person extraction unit by mental and physical condition, etc., and compare the actual supply and the necessary demand. a subregional analysis unit that calculates the difference for each subregion;
The regional comprehensive care business system according to claim 1, characterized by comprising:
前記小地域別の顕在供給量は、対応する小地域で同じサービス種類を受けている人数、サービス単位数、サービス回数とし、前記小地域別の必要需要量は、前記対応する小地域で同じサービス種類を本来受けるべき人数、サービス単位数、サービス回数とすることを特徴とする請求項2に記載の地域包括ケア事業システム。 The apparent supply volume for each sub-region is the number of people receiving the same type of service in the corresponding sub-region, the number of service units, and the number of service times, and the required demand for each sub-region is the same service for the corresponding sub-region. 3. The integrated regional care business system according to claim 2, wherein the type is the number of people who should receive the service, the number of units of service, and the number of service times. 前記介護保険事業計画分析部は、前記顕在供給量と前記必要需要量との差異を、前記必要需要量を前記顕在供給量で除算する需要の対供給比率として求めることを特徴とする請求項1乃至請求項3いずれか1項に記載の地域包括ケア事業システム。 2. The long-term care insurance business plan analysis unit obtains the difference between the actual amount of supply and the required amount of demand as a demand-to-supply ratio obtained by dividing the required amount of demand by the actual amount of supply. The regional comprehensive care business system according to any one of claims 1 to 3.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001109813A (en) 1999-10-13 2001-04-20 Hitachi Ltd Care service confirming method and its implementing method, and recording medium with recorded processing program thereof
JP2001243293A (en) 2000-02-25 2001-09-07 Hitachi Ltd Method and system for adjusting information among service providers

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001109813A (en) 1999-10-13 2001-04-20 Hitachi Ltd Care service confirming method and its implementing method, and recording medium with recorded processing program thereof
JP2001243293A (en) 2000-02-25 2001-09-07 Hitachi Ltd Method and system for adjusting information among service providers

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