[go: up one dir, main page]

EP1611538A2 - Procede et systeme de preparation et d'evaluation automatiques de donnees medicales - Google Patents

Procede et systeme de preparation et d'evaluation automatiques de donnees medicales

Info

Publication number
EP1611538A2
EP1611538A2 EP04726425A EP04726425A EP1611538A2 EP 1611538 A2 EP1611538 A2 EP 1611538A2 EP 04726425 A EP04726425 A EP 04726425A EP 04726425 A EP04726425 A EP 04726425A EP 1611538 A2 EP1611538 A2 EP 1611538A2
Authority
EP
European Patent Office
Prior art keywords
data
database
organ function
function profile
data source
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP04726425A
Other languages
German (de)
English (en)
Inventor
Volker Mohr
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of EP1611538A2 publication Critical patent/EP1611538A2/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Definitions

  • the invention relates to a method and an arrangement for the automatic preparation and evaluation of medical data for the purpose of determining and outputting diagnostic and / or medical and nursing relevant information from a large number of available data sources.
  • data source is understood to mean all types of media that contain information about a patient, for example X-rays, computer tomography, ultrasound images, blood tests, genetic analyzes, but also medical reports and formal documents such as vaccination certificates, prescriptions, reports and like.
  • Original, copy, physical or electronic data sources can be used.
  • a method for determining a diagnostically relevant parameter from electrocardiographic and magnetocardiographic data in which certain vectors are calculated from the data and related to one another in order to obtain information regarding certain heart diseases.
  • the known methods do not allow automated preparation and evaluation of data of the most varied types within the meaning of the present invention.
  • the object of the invention is to specify a method and an arrangement by means of which data originating from a large number of different data sources can be processed and evaluated according to uniform criteria in order to provide doctors, nursing staff and other members of the medical and non-medical professions with a decision-making aid for diagnoses or
  • Fig. 1 shows a schematic flow diagram of the basic
  • Fig. 2 shows a detailed flow chart of the method step of
  • FIG. 3 shows a detailed flow diagram of the method step of storing a data source.
  • Fig. 4 shows a possible form of representation of a virtual data sheet generated with the method according to the invention, which e.g. can be played on a screen.
  • FIG. 5 shows a data sheet according to FIG. 4 with sample data.
  • FIG. 6 shows a detailed flow chart of the method step of FIG.
  • Fig. 7 shows a schematic diagram to illustrate the operation of the
  • FIG. 8 shows a detailed flow diagram of the method step of validating the database.
  • FIG. 9 shows a schematic basic sketch of a possible arrangement for carrying out the method according to the invention.
  • Processing of a data source the data source being an X-ray image.
  • 11 shows a second example of the sequence of the method step of processing a data source, the data source being a doctor's letter.
  • FIG. 1 shows the basic sequence of a preferred embodiment of a method according to the invention for the automated processing of a data source, namely in the form of a customary flow chart as used in computer programming.
  • This type of representation usually begins with a block 10, which contains the title or name of the respective method, which is part of a method composed of several methods.
  • Such a process component is usually referred to as a module.
  • block 10 thus designates the module “processing data source”, which begins with a start instruction 12 and, if not previously, one
  • a data source 18 is first read from a so-called customer folder 16, which contains all non-validated data sources, and is initially recorded in a so-called database only with regard to its existence (method step 20).
  • the database is the entirety of all information stored about a patient.
  • the database preferably contains the following information elements:
  • ID information (identification information to identify the patient)
  • Information about the data sources e.g. type, creation date, result of the evaluation
  • the result of the data source being recorded in the database or as
  • Health data content of data sources
  • content documentation Structured summaries (aggregate) of the health data Links of the multidimensional structured referencing between elements of the database.
  • the customer folder is a kind of temporary "collective folder" for all data sources, the evaluation, storage, processing, structured summary and multidimensional structured referencing of which has not yet been checked by the validation of the database.
  • Data sources for a patient are kept until the validation of the database is completed.
  • the data sources are only briefly removed from the customer folder when the data sources are stored in the patient's database. After saving, they are integrated back into the customer folder and kept there until the validation of the database is completed.
  • the original documents in the customer folder are returned to the sender or destroyed, taking into account the requirements of data protection.
  • the customer folder is then dissolved.
  • Health data the medically and nursing-relevant information content contained in the data source, hereinafter referred to as "health data" for short, is identified in a next method step 22 and also recorded in the database.
  • the data sources can be a wide variety of sources, e.g. for written records of examinations and treatments or the dispensing of medicines or medical devices that have been placed with doctors, hospitals, members of the medical and auxiliary professions or pharmacies, - formal documents such as vaccination certificates, medical reports, examination or
  • Image data from examinations with imaging methods such as X-ray, ultrasound, magnetic resonance tomography, computer tomography, positron emission tomography, endoscopic examinations, photographs, for example of the skin
  • Product data such as data from implants, medicines and aids or other medical devices with which the respective patient was cared for, personal memories of the patient or his relatives without formal documentation.
  • the individual health data already differ on superficial observation by a variety of characteristics e.g. regarding the origin of the information provided by the patient himself, his relatives, doctors, health care institutions such as hospitals, health insurance companies, public health facilities, nursing staff,
  • Relatives of the medical and auxiliary professions or pharmacists can come from the different qualities of the information, which range from personal reminder to formalized protocols of individual examinations to a summary, - the age of the information, the diagnostic and medical-nursing informative value, the degree of its accuracy , the degree of their technical quality, the media such as paper, film, electronic storage media.
  • the different characteristics of each of these characteristics for each information relevant in a data source from a diagnostic or medical-nursing point of view, i.e. the health data, means that the meaning, validity, topicality and relevance of the respective information cannot be determined prima vista.
  • the method according to the invention now advantageously makes it possible to eliminate these disadvantages by means of a systematic structured test procedure, on the basis of which the importance of a data source is analyzed.
  • This process - also called evaluation of a data source - is shown in Fig. 2:
  • End instruction 74 begins with the fact that the health data 78 contained in a data source 76, that is to say all the information which do not serve to identify the patient but which describe his medical condition, are read out. After reading out, this health data is checked under certain criteria and evaluated on a predeterminable scale. For this purpose, a checklist "Origin of health data" (80) can first be read in, on the basis of which the step “Check origin of health data” (82) and the step “Rating origin of health data” (84) are carried out. The results obtained are stored in order to determine an overall result (method step 86). Other checklists 88
  • steps 94, 96 and 98 are used to carry out checks regarding the time interval between the health event report (94), formal quality of the document (96) and content quality of the document (98).
  • steps 100, 102 and 104 a rating is then given with regard to the time interval between the health event report (100), the formal quality of the document (102) and the content-related quality of the document (104).
  • the "ratings" are each temporarily stored in order to determine 86 the overall result.
  • the term "health event” is understood to mean the state or the sequence of states which are the subject of a data source.
  • the health event depicted in a doctor's letter can, for example, describe the course of treatment from the time of admission to the hospital until discharge.
  • the Health event depicted in an x-ray image describes the state at the time the x-ray examination was carried out and the x-ray image was taken.
  • Process step 86 which consists of the successive ratings for the individual tests.
  • the individual ratings can preferably be expressed in simple notes or letters, such as known from the system of school grades or from the valuation of listed commercial companies.
  • a possible rating system is shown in Tables 1 to 4, the "best grade” corresponding to the letter A, the "worst grade” corresponding to the letter E and criteria that cannot be rated at all receive the number 0.
  • Such a method according to the invention thus advantageously makes it possible for the further processing of the health data evaluated in this way to immediately classify it in terms of its relevance for a specific question, both automatically and manually.
  • the data source (module 120) is stored in the database before, after or parallel to the method step of evaluating a data source, as shown in FIG. 3. It is assumed in the flow chart shown in FIG. 3 that a database already exists for a specific patient, which can be opened (method step 126) and which, for example, contains the identification data of the patient Contains patients and the previously entered data source information. If there is no database for a patient, this would be created first.
  • a data source 130 is then read out of the customer folder 128 and stored electronically in the database (method step 132), which means that the data source is stored in the database (134).
  • the data source is then stored in the customer folder again until a validation 138 has been completed in the database.
  • data source 140 is stored in customer folder 142 and passed on to the validation process. When the validation is complete, the customer portfolio can be dissolved.
  • Boundary conditions are based on queries 32, 34, 36 and 38. under the aspect of whether or not the information contained in the data source is complete in relation to a specific question. For this purpose, it is checked in method step 32 whether the data source is complete.
  • a search (method step 34) is necessary and the data source is marked accordingly, for which different procedures are available. For example, be provided that when a search is required, an acoustic and / or optical
  • Notification signal generated and output on a corresponding output unit can also be started automatically, for which purpose e.g. can be carried out in such a way that, depending on the type of information to be researched, either a database is automatically queried or an e-mail is generated automatically and sent to a researcher.
  • the invention thus advantageously allows the person skilled in the art to choose the procedure which is optimally adapted to the respective application.
  • a data source for example data sources of the "internal document” type, in which, for example, personal memories of the patient or his or her Relatives are retained (internal documents secure all knowledge about the patient that is not documented in external data sources, for example, information that the patient himself and his attending doctors give by telephone, or information that results from the processing of the external sources ), it can happen that it is determined that a debriefing is necessary, for example because the information provided is inconsistent (query 34 - "debriefing required?").
  • the data source can then be marked accordingly in such a way that a meeting with the patient or his relatives can be made automatically or manually (method step 42).
  • Certain data sources e.g. pure analyzes of blood values and the like require a manual or automatic evaluation with regard to the meaning of the result (query 36 - "Evaluation of data source required?").
  • Data sources of this type can also be marked in a manner analogous to the manner already described in such a way that manual or automatic evaluation of the respective data source is also initiated or carried out (method step 44).
  • All sub-processes or processes 40, 42, 44 and 46 lead to the data source having to be processed, that is to say treated in a separate process 48. If the results of queries 32, 34, 36 and 38 are negative in each case, further processing 48 of the data source is not necessary and the health data contained in the data source can be automatically structured according to a predefinable scheme (predefinable boundary conditions) (method step 50), the structured summary thus created is referred to here as an "aggregate". In step 52, this aggregate is transferred to a virtual so-called data sheet, which will be described in connection with FIGS. 4 and 5, and one obtains such a data sheet 54 with an aggregate.
  • predefinable scheme predefinable boundary conditions
  • the data contained in the virtual data sheet can still be referenced (module 56 - "multidimensional structured referencing") and all of them Data sources and the database derived from the information contained in the data sources can be validated (Module 58 - "Validation database”).
  • FIGS. 4 and 5 Such a virtual data sheet is shown in FIGS. 4 and 5, a possible basic structure of the virtual data sheet being shown in FIG. 4 and a virtual one in FIG. 5
  • the virtual data sheets can be made available to the doctor, nurse or members of other medical and auxiliary professions in a wide variety of forms and make daily work much easier for them. It is particularly advantageous if the virtual data sheets are stored and maintained at a central location. If a patient visits different doctors, they can transmit current information to the central office, which then updates the virtual data sheet and for authorized persons, e.g. other doctors, available. In this way it becomes e.g. possible in the care of an emergency patient or one
  • the data sheet shown in FIGS. 4 and 5 contains the following information blocks:
  • Organ function profile - unexplained symptoms, findings, differential diagnoses as well as a pictogram in which e.g. the location of surgical scars and the like can be indicated.
  • Data sheets with this structure have proven particularly useful, but it is of course possible to add more or different information blocks to the data sheet record and / or arrange the information blocks differently.
  • Standardizing the data sheet has the advantage that users of the data sheet, once they have familiarized themselves with the structure of the data sheet, can find information in a data sheet very quickly, since then information of a certain type is always arranged in the same place in the data sheet ,
  • the pictogram shows the body trunk, which has two surgical scars in this patient, the approximate position of which can be read from the relative position to the navel, also indicated in the pictogram, and the two lowest ribs.
  • a particularly advantageous embodiment of the method according to the invention provides that the health information available for a patient is referenced, that is to say linked to one another in such a way that relationships can be made visible and related information can be called up in a simple manner, e.g. via the virtual data sheet:
  • the virtual data sheet can not only show the most important basic information for the doctor or nurse, but it can also advantageously serve as a retrieval mask for the database on which the data sheet is based.
  • the individual elements in the data sheet can be designed as hyperlinks, so that by clicking on an element of the data sheet displayed on a screen, further information on the element clicked, e.g. Information regarding the heart or the central nervous system is available.
  • the invention now proposes to link related health data and the data sources on which these health data are based, according to certain specifiable medical and nursing criteria, as shown in FIG. 6.
  • FIG. 6 shows the module "multidimensional structured referencing", which is shown in FIG.
  • Module 1 has been provided with the reference number 56 and, when implemented by a computer program, contains a start instruction 200 and an end instruction 202.
  • Module 58 validation database
  • module 56 In the case of multidimensional structured referencing, the existing information elements, of which three are shown by way of example in FIG. 6 and have been given the reference symbols 204, 206 and 208, are first read in and then analyzed and assigned to one another in method step 210, taking into account those which have taken place previously Evaluation of the individual data sources, including the result of the evaluation of the data sources 212 and the individual data sources in stored form 214, which contain the individual health data, are read.
  • the last procedural step is the so-called validation of the database (module 58), which follows the referencing.
  • Validating according to ISO 9000 means providing objective evidence that the requirements for an intended one
  • FIG. 8 shows this module 58, in the usual manner of representation, again between a start instruction 300 and an end instruction 302.
  • the customer folder 302, all of which are not validated, is read out as the basis of the checking method
  • Data sources 304 ie all data sources that have not yet gone through the "validation database” process.
  • method step 306 it is then checked whether the identification information of the data sources in the customer folder with the identification information in the database to match. If this is not the case, the information that does not match is corrected (method step 308).
  • method step 310 the information about the data sources in the database is checked to determine whether corresponding data sources exist in the customer folder for the information. If this is not the case, in method step 312 a correction of non-matching information is made.
  • a check is carried out to determine whether the contents of the data sources in the customer folder with the structured summary
  • the database is released in method step 326 and the structured summary of the database in the form of the data sheet is released in method step 328.
  • FIG. 9 shows, purely schematically, a possible arrangement for carrying out the method according to the invention, in which a first data processing unit 410 is connected to a second data processing unit 412 via wireless or wired line means, in particular via a data network such as the Internet, for the purpose of data exchange.
  • the first data processing unit 410 is, for example, in the access of a doctor or a hospital and has at least one input unit 414 in the form of a Keyboard and / or a mouse and at least one output unit 416, in particular in the form of a screen.
  • the second data processing unit 412 manages and monitors access to a database 418 in which the patient's databases are stored (in the
  • each patient is assigned a database and several databases form a database).
  • the data in the database can be maintained from the second data processing unit 412.
  • the technical solution will usually look in practice such that the database can only be maintained from a separate third data processing unit 420.
  • This third data processing unit has several input units 422, 424 and 426, which it e.g. enable you to scan existing documents in paper form, to read existing documents on different storage media and to enter information that cannot be recorded automatically by hand.
  • Customer folder created, whereby all non-validated data sources, that is to say those data sources that have not yet gone through the process of validating the database, are classified in the customer folder.
  • the individual data sources are then processed in the manner described above, so that finally a virtual data sheet and a validated database in the database 418 can be saved.
  • the data are preferably still referenced, so that links between the individual pieces of information are generated in the manner described above.
  • Data line means establish a connection between the first data processing unit 410 in its access and the second data processing unit 412 via the data line means, whereupon the authorization of the requesting data processing unit 410 for accessing certain patient files is first checked in the usual manner.
  • the second data processing unit 412 reads out the requested data from the database 418 and transmits it to the first data processing unit 410 so that the data can be output on the output unit 416.
  • FIGS. 10 and 11 exemplify the sequence of the "machining" method
  • the data source to be processed being an x-ray image 518 in the example of FIG. 10 and a doctor's letter 618 in the example of FIG. 11.
  • the method steps such as evaluating the data source (method step 24) or storing the data source (method step 26 ) have already been explained in detail above in connection with FIG. 1, so that reference is made to the description there.
  • the x-ray image is first recorded in the database.
  • the data source recorded is recorded in the database, that is to say according to its meaning, in terms of its meaning. For example, step 522 could detect that pneumonia is present in the left lung. Health data 528 consequently contains the entry "Pneumonia left lung”.
  • steps 32, 34, 36 and 38 are then used to check whether processing of the data source is necessary. If this is not the case, the structured summary (method step 550) with the diagnosis "pneumonia left lung” is carried out.
  • This diagnosis is transferred to the data sheet in method step 552.
  • the data source 618 is a doctor's letter.
  • this is initially recorded in the database
  • the content of the doctor's letter is then recorded in the database, which content can be, for example, "pneumonia left lung; antibiotic treatment; healing”.
  • health data 628 receives the entry "Pneumonia left lung; antibiotic treatment; healing".
  • This structured summary (the aggregate) is then transferred to data sheet 654 in method step 652.
  • diagnostic codes which are used to encrypt certain diagnoses in such a way that they can be more easily recognized and processed by the data processing systems which have been customary to date.
  • a coding system has been introduced in Germany in which around 25,000 different diagnoses are each assigned a code consisting of letters and numbers. So far, doctors in hospitals that work with this system have to convert the diagnoses identified in each case into the corresponding diagnosis codes using extensive tables after the visit, which can easily lead to input errors.
  • the invention can now preferably be carried out in such a way that in those data sources in which a diagnostic code is contained, the diagnostic code is automatically checked for correctness and that if errors or at least very rare diagnoses are found during this correctness test, a corresponding signal is generated, which leads to the corresponding
  • the method according to the invention can then automatically cause the diagnosis to either be confirmed or corrected.
  • a database in particular a self-learning one
  • Database which contains typical diagnostic code errors, for example frequently occurring typing errors (e.g. K92.2 instead of K29.2). If such a database is provided, the method can be carried out in such a way that when discrepancies arise, a correction proposal is automatically generated and, for example, on a corresponding output unit. a screen that is displayed (as is known, for example, from word processing programs used for spell checking).
  • the method can be carried out in such a way that a specific diagnosis is automatically converted into the corresponding diagnosis code.
  • Customers of such a database can on the one hand be doctors and hospitals, for whom access to continuously updated medical information about a patient, which is also recorded by other doctors and hospitals, is interesting for reasons of care, but also for economic and economic reasons (avoidance of double examinations) ,
  • Customers of such a database can also be individual patients who are interested in particularly good medical care or who are at increased risk of illness and who want to ensure that, even in emergencies, a doctor who is not familiar with the patient's previous history , immediately Get access to a complete patient record.
  • This procedure is hereby expressly designated as part of the invention and is claimed to be protectable in those countries whose national law permits.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Treatment And Welfare Office Work (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

L'invention concerne un procédé et un système permettant de préparer et d'évaluer des données provenant d'une pluralité de différences sources de données, selon des critères homogènes, afin de procurer une aide à la décision dans le cadre de diagnostics ou de mesures thérapeutiques et d'autres décisions, à des médecins, au personnel soignant et à tout autre personnel connexe. A cet effet, il est prévu un procédé de préparation et d'évaluation automatiques de données médicales, dans le but de déterminer et de fournir des informations significatives sur le plan du diagnostic et/ou des soins médicaux, à partir d'une pluralité de sources de données présentes. Selon ce procédé, toutes les sources de données sont regroupées dans une base de données commune. Chaque source de données est évaluée selon des critères prédéfinissables et le résultat de cette évaluation (appréciation) est mémorisé, avec affectation à la source de données. Les données contenues dans la base de données sont référencées de sorte que des éléments de la base de données associés les uns aux autres par le contenu, soient liés et puissent être affichés de manière automatique, en tant qu'éléments connexes. Une combinaison structurée (agrégation) est effectuée automatiquement, sous forme de feuille de données virtuelle, à partir des sources de données, selon des conditions marginales prédéterminables.
EP04726425A 2003-04-08 2004-04-08 Procede et systeme de preparation et d'evaluation automatiques de donnees medicales Withdrawn EP1611538A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE10316298A DE10316298A1 (de) 2003-04-08 2003-04-08 Verfahren und Anordnung zur automatischen Aufbereitung und Auswertung medizinischer Daten
PCT/DE2004/000756 WO2004092997A2 (fr) 2003-04-08 2004-04-08 Procede et systeme de preparation et d'evaluation automatiques de donnees medicales

Publications (1)

Publication Number Publication Date
EP1611538A2 true EP1611538A2 (fr) 2006-01-04

Family

ID=33103287

Family Applications (1)

Application Number Title Priority Date Filing Date
EP04726425A Withdrawn EP1611538A2 (fr) 2003-04-08 2004-04-08 Procede et systeme de preparation et d'evaluation automatiques de donnees medicales

Country Status (4)

Country Link
US (1) US20070027710A1 (fr)
EP (1) EP1611538A2 (fr)
DE (1) DE10316298A1 (fr)
WO (1) WO2004092997A2 (fr)

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8200775B2 (en) * 2005-02-01 2012-06-12 Newsilike Media Group, Inc Enhanced syndication
US8347088B2 (en) * 2005-02-01 2013-01-01 Newsilike Media Group, Inc Security systems and methods for use with structured and unstructured data
US20070106754A1 (en) * 2005-09-10 2007-05-10 Moore James F Security facility for maintaining health care data pools
US20070050446A1 (en) * 2005-02-01 2007-03-01 Moore James F Managing network-accessible resources
US8140482B2 (en) 2007-09-19 2012-03-20 Moore James F Using RSS archives
US9202084B2 (en) 2006-02-01 2015-12-01 Newsilike Media Group, Inc. Security facility for maintaining health care data pools
US8700738B2 (en) * 2005-02-01 2014-04-15 Newsilike Media Group, Inc. Dynamic feed generation
US20080195483A1 (en) * 2005-02-01 2008-08-14 Moore James F Widget management systems and advertising systems related thereto
US20080046471A1 (en) * 2005-02-01 2008-02-21 Moore James F Calendar Synchronization using Syndicated Data
US20060265489A1 (en) * 2005-02-01 2006-11-23 Moore James F Disaster management using an enhanced syndication platform
US20080046369A1 (en) * 2006-07-27 2008-02-21 Wood Charles B Password Management for RSS Interfaces
US9477497B2 (en) * 2008-09-26 2016-10-25 Juniper Networks, Inc. Methods for determining resource dependency and systems thereof
DE102008051858B4 (de) * 2008-10-16 2010-06-10 Newbase Gmbh Datenorganisations- und auswertungsverfahren
DE102009031970A1 (de) 2009-07-06 2011-01-20 Michael Keil Automatisierte Ermittlung und/oder Aufbereitung von Informationen
CA2930056A1 (fr) * 2013-11-12 2015-05-21 Ecbig (E-Commerce & Business Integration) Aps Systeme et procede de combinaison d'informations sur les produits medicinaux de medicaments
US10346922B2 (en) 2015-01-06 2019-07-09 Pareto Intelligence, Llc Systems and methods for providing insurer risk data
CN105426661B (zh) * 2015-12-21 2018-05-04 华中科技大学同济医学院附属协和医院 一种非计划二次手术信息管理方法及管理系统
CN109859837A (zh) * 2019-01-18 2019-06-07 陈德昌 一种基于医疗数据的脓毒症预警方法、系统及存储介质
CN110298328B (zh) * 2019-07-03 2021-08-20 中国工商银行股份有限公司 测试数据形成方法、测试数据形成装置、电子设备和介质
EP3806031A1 (fr) * 2019-10-08 2021-04-14 Koninklijke Philips N.V. Procédé mis en oeuvre par ordinateur pour l'analyse automatisée du biais dans les mesures effectuées sur des images médicales d'une structure anatomique
AT524707A1 (de) 2021-01-28 2022-08-15 Blockhealth Gmbh Verfahren zum Ordnen von Gesundheitsdaten

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7076436B1 (en) * 1996-07-08 2006-07-11 Rlis, Inc. Medical records, documentation, tracking and order entry system
US6708184B2 (en) * 1997-04-11 2004-03-16 Medtronic/Surgical Navigation Technologies Method and apparatus for producing and accessing composite data using a device having a distributed communication controller interface
US6831668B2 (en) * 2000-04-03 2004-12-14 Business Objects, S.A. Analytical reporting on top of multidimensional data model
US6988088B1 (en) * 2000-10-17 2006-01-17 Recare, Inc. Systems and methods for adaptive medical decision support
US20020082870A1 (en) * 2000-11-20 2002-06-27 Mark Penny System and method for processing patient medical information
US6938206B2 (en) * 2001-01-19 2005-08-30 Transolutions, Inc. System and method for creating a clinical resume

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2004092997A2 *

Also Published As

Publication number Publication date
DE10316298A1 (de) 2004-11-04
WO2004092997A3 (fr) 2005-07-07
US20070027710A1 (en) 2007-02-01
WO2004092997A2 (fr) 2004-10-28

Similar Documents

Publication Publication Date Title
EP1611538A2 (fr) Procede et systeme de preparation et d'evaluation automatiques de donnees medicales
DE69712371T2 (de) Verfahren und Vorrichtung zur Unterstützung eines Benutzers zum Erzeugen eines medizinischen Protokolls
US7707046B2 (en) Automated processing of electronic medical data for insurance and disability determinations
DE4023785A1 (de) System zur speicherung, bereitstellung und aktualisierung von festen und/oder variablen patienten- und behandlungsdaten
DE10240216A1 (de) Verfahren und Datenbank zum Auffinden von medizinischen Studien
EP1324254A1 (fr) Système de recherche de l'histoire d'un patient ou des archives utilisant des mots clefs
US20200143925A1 (en) Forensic system and method for detecting fraud, abuse, and diversion in the prescriptive use of controlled substances
Zeitz et al. Policies that drive the nursing practice of postoperative observations
Morrissey-Ross Documentation: If you haven't written it, you haven't done it
Hoffmann et al. Associations of an Easy-to-Understand Patient Letter on the Health Literacy of Patients after Discharge from Hospital: Results of a Randomized Controlled Intervention Study
CH709951B1 (de) Computerimplementiertes Patientendatensystem und Verfahren, welches davon Gebrauch macht.
DE202022103482U1 (de) Aufbereitung von Diagnoseinformationen
DE102005009056A1 (de) Verfahren zum Betrieb eines medizinischen Informationssystems
EP1102193A1 (fr) Système médical pour l'acheminement/transfer de données du patient
EP1232467A2 (fr) Systeme de communication destine a l'interaction de laboratoires medicaux et de centres de traitement medicaux
Shell et al. Florence Nightingale, Dr. Ernest Codman, American College of Surgeons Hospital Standardization Committee, and The Joint Commission: Four Pillars in the Foundation of Patient Safety
DE102020210709A1 (de) Computersystem und verfahren zur gleichzeitigen verbesserung und codierung von klinischen dokumenten
EP1923807A2 (fr) Procédé et système destinés à la mise à disposition d'informations patients en fonction de l'application
DE102005005601B4 (de) Zugriffssteuerung und Verfahren zur Steuerung des Zugriffs auf medizinische Daten
DE102024105658A1 (de) System zur Entscheidungsunterstützung, Verfahren zum Erzeugen und/oder Aktualisieren einer Wissensbasis, Verfahren zum Erzeugen von Empfehlungsdaten und computerlesbares Speichermedium
Dohr-Hashemi et al. Patientenzentrierte Medizin: Was wollen Patient* innen?
WO2003003273A2 (fr) Systeme expert pour deceler des contre-indications en cas de droit d'acces limite aux donnees de patients
DE102023209377A1 (de) Computerimplementiertes Verfahren und System zum automatischen Bereitstellen von Krankheitsinformationen
Zager et al. Nursing process, workload management, and quality improvement
WO2005081164A2 (fr) Procede et systeme d'information pour realiser un examen clinique sur un patient

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20051010

AK Designated contracting states

Kind code of ref document: A2

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IT LI LU MC NL PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL HR LT LV MK

DAX Request for extension of the european patent (deleted)
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20091103