US20090204437A1 - System and method for improving diagnoses of medical image reading - Google Patents
System and method for improving diagnoses of medical image reading Download PDFInfo
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- US20090204437A1 US20090204437A1 US12/365,824 US36582409A US2009204437A1 US 20090204437 A1 US20090204437 A1 US 20090204437A1 US 36582409 A US36582409 A US 36582409A US 2009204437 A1 US2009204437 A1 US 2009204437A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- 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
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- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Abstract
Description
- This application claims priority to the following co-pending U.S. Provisional Patent Applications: Ser. No. 61/065,061 filed on Feb. 8, 2008; No. 61/065,062 filed on Feb. 8, 2008; No. 61/065,085 filed on Feb. 8, 2008; and No. 61/065,055 filed on Feb. 8, 2008, the entire teachings of which are herein incorporated by reference.
- The practice of medicine has greatly advanced with the improvement of medical imaging technology. Medical imaging may include many different types of image of the human body, including x-ray imaging, computed tomography (CT) scan imaging, magnetic resonance imaging (MRI, etc. Through the use of medical imaging technology, medical professionals are able to see images of internal organs, for example, of patients to help diagnose medical conditions of the patients. While medical imaging technology has significantly improved medical care, because of the nature of creating and interpreting medical images, radiological or other imaging technique, inaccuracies in the imaging and interpretation processes of the medical images result. Because of the inaccuracies in the imaging and interpretation processes, patient medical conditions are often misdiagnosed.
- Misdiagnosis of a medical condition, such as a disease or condition, may come in the form of false positives, false negatives, and false equivocal diagnoses. A false positive is a detection of a medical condition that does not exist. A false negative is a failure to detect a medical condition that is present in a patient. A false equivocal diagnosis is a statement that a definitive diagnosis cannot be made based on the information available (e.g., “cancer cannot be ruled out”) when sufficient information is available to make a definitive diagnosis. Each of these misdiagnoses may result in higher costs of treatment, additional suffering to patients, lost productivity, exposure to treatments which themselves have side effects that diminish health status, and additional burden on the healthcare system as a whole. It has been estimated by the American College of Radiology that frequency of misdiagnosis of radiological imaging interpretations is as high as 30%. And, given that it has been estimated that 40% to 60% of total healthcare spend is influenced by radiological imaging and interpretations therefrom, misdiagnoses results from misinterpretation of medical imaging has a large impact on the healthcare system.
- Medical literature documents significant variation in misdiagnosis rates among medical image reading professionals. Much of the misdiagnoses in reading medical images occur from medical image reading professionals either not having enough experience or not having enough experience reading particular types of medical conditions (e.g., small cell lung cancer), modalities (i.e., medical imaging technology), and/or anatomical regions (i.e., body parts). For example, a large-scale study of proficiency in reading screening mammography studies concluded that false negative findings range from 3% to 71% (mean of 23%) and false positive findings range from 1% to 29% (mean of 10%), and that the higher overall accuracy was associated with more experience and a higher focus on screening mammograms. It is therefore reasonably predictable that a general radiologist who reads relatively few mammograms while attending to the broad range of clinical radiology needs of a rural community in which he or she resides, is not proficient in reading medical images for brain tumors, small cell lung cancer, or other diseases. Because of the broad nature of the clinical practice, the general radiologist is more likely than a specialist to misdiagnose both mammograms and other medical conditions where experience is not sufficient to attain proficiency.
- As is traditional protocol for treating physicians who treat patients, it is frequently true that little, if any, information is provided to medical image reading professionals. If information other than an indication of the particular anatomical region that is to be diagnosed is provided to a medical image reading professional, the information is typically symptomatic information. For example, if a patient has a headache, the medical image reading professional may provide a script with the word “headache” to indicate a symptom expressed by the patient. Alternatively, the treating physician may indicate “abdominal pain” to a medical image reading professional. Symptomatic information may provide a clue to the medical image reading professional for what to look for in the medical images. However, little, if any, patient knowledge is provided to a medical image reading professional to consider prior to reading the medical images for diagnosing the medical condition of the patient. In other words, the medical image reading professional performs his or her reading of the medical images with little or no direction from the treating physician. The reason for providing such little information may be due to culture of treating physicians, scripts being limited in space or options for treating physician comments, or simply due to paradigm of the medical profession, where treating physicians have always provided limited information to medical image reading professionals, so the trend simply perpetuates.
- To overcome the problem of medical image reading professionals receiving little, if any, information that may be used as knowledge for reading medical images to perform diagnoses of medical conditions of patients, the principles of the present invention provide for providing diagnostic information, such as a clinical question to a medical image reading professional. A third-party may collect the diagnostic information for use in ensuring that a treating physician creates a proper treatment plan for treating a medical condition. The treating physician or third-party may form a clinical question that may be a portion of the diagnostic information. The diagnostic information provided to the medical image reading professional may be general or detailed depending on the medical condition. Examples of clinical questions may include, “does this patient have lung cancer?,” “does this patient have a clogged artery?,” and “does this patient have a cerebral aneurysm?”
- One embodiment of a process for improving diagnoses of patients may include accessing diagnostic information, prepared by a treating physician, of a medical condition of a patient from a third-party collector of the diagnostic information. Medical images, test results or other medical information associated with the medical condition of the patient may be accessed. At least a portion of the diagnostic information and the medical images may be communicated to a medical image reading professional to read and further diagnose the medical condition of the patient. In one embodiment, the diagnostic information includes a diagnostic question.
- One system for improving diagnoses of patients may include a diagnosis information access module configured to access diagnosis information associated with a medical condition of a patient from a first data repository. A medical image access module may be configured to access medical images associated with the medical condition of the patient from a second data repository. A communication module may be in communication with the diagnosis information access module and medical image access module, and be configured to communicate at least a portion of the medical diagnostic information and the medical images to a medical image reading professional for further diagnosing the medical condition of the patient. A clinical question generation module may be configured to enable a clinical question to be generated, manually, semi-automatically, or automatically, as understood in the art. In one embodiment, a diagnosis collection module may be configured to receive the diagnosis of the medical condition by the medical image reading professional and store the diagnosis-in association with the diagnostic information.
- Another process for improving diagnoses of patients may include accessing diagnostic information, prepared by a treating physician, of a medical condition of a patient from a third-party collector of diagnostic information, where the diagnostic information includes a clinical question. The clinical question may be communicated to a medical image reading professional to read and further diagnose the medical condition of the patient. The clinical question may be displayed for the medical image reading professional to use in gaining knowledge of the medical condition of the patient to improve the ability of the medical image reading professional to accurately diagnose the medical condition.
- A more complete understanding of the method and apparatus of the present invention may be obtained by reference to the following Detailed Description when taken in conjunction with the accompanying Drawings wherein:
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FIG. 1 is an illustration of an exemplary business environment in which medical professionals and organizations operate to diagnose and treat patients; -
FIG. 2 is a flow diagram of an exemplary process for collecting diagnostic information and medical images to diagnose and treat patients; -
FIG. 3 is a block diagram of an exemplary network used to collect and communicate diagnostic information and medical images to enable diagnosis and treatment of patients; -
FIG. 4 is a screen shot of an exemplary graphical user interface that enables a medical image reading professional to access medical images and diagnostic information prepared by treating physicians of associated patients; -
FIG. 5 is a screen shot of another exemplary graphical user interface that enables a medical image reading professional to access medical images and diagnostic information prepared by treating physicians of associated patients and prepare a diagnosis based on same; -
FIG. 6 is a flow diagram of an exemplary process for improving diagnoses of patients; and -
FIG. 7 is a block diagram of exemplary modules that may be utilized to provide operations in accordance with the principles of the present invention. -
FIG. 1 is an illustration of anexemplary business environment 100 in which medical professionals and organizations operate to diagnose and treat patients. Treating physicians 102 a-102 n (collectively 102) are typically medical professionals who initially meet with patients (not shown) to diagnose medical conditions of the patients. The treating physicians 102 may be a patient's primary care physician, but could also be a specialist. The treating physician 102 alternatively may be an emergency room physician or any other medical professional whose position it is to treat a patient and request medical imaging (e.g., radiology, computed tomography (CT) scan, magnetic resonance imaging (MRI)) to be performed on the patient to further assist in diagnosing a medical condition of the patient. - As understood, the medical profession is a difficult one due to risks involved with treating patients. Medical malpractice claims have become commonplace for a variety of reasons, some justified, others not. In response to the medical malpractice claims, insurance companies have attempted to limit exposure in a number of ways. One way that insurance companies have attempted to limit their exposure is by working with organizations that perform checks or oversight on medical procedures ordered by treating physicians prior to initiating the medical procedures. One such organization is a third-party diagnostic
information collection organization 104. Thisorganization 104 operates by communicating, generally via telephone or other communications network, such as the Internet, with a treating physician to ask a series of questions about a medical condition of a patient, collectdiagnostic information 106, and either corroborate with or reject the physician's diagnosis of and treatment plan for the patient. In one embodiment, the collecteddiagnostic information 106 may include a clinical question, such as “does the patient have small cell lung cancer?” Alternatively, the third-party diagnosticinformation collection organization 104 may formulate the clinical question. In either case, by collectingdiagnostic information 106, which may include a clinical question, knowledge may be collected from the treating physicians 102 that may used to help medical image reading professionals 108 a-108 n (collectively 108) perform their job of reading medical images and improve diagnoses over medical image reading professionals not having the knowledge, as has been traditional protocol. - The
diagnostic information 106 collected from the treating physicians 102 by the third-party diagnosticinformation collection organization 104 may be shared with a medical image readingprofessional network manager 110. The medical image readingprofessional network manager 110 may manage a network of the medical image reading professionals 108. In one embodiment, the medical image reading professionals 108 are teleradiologists or other medical image reading professionals who read different types of medical images (e.g., CT scans). The medical image reading professionals 108 may be independent of or employees of the medical image readingprofessional network manager 110. - A
medical imaging organization 112 may be any medical imaging facility that operates to perform medical imaging on patients. The medical imaging facility may perform radiological imaging or any other imaging in response to the treating physicians 102 providing a script (not shown) formedical images 114 to be taken. Themedical images 114 may be still images or video images. Themedical images 114 may additionally include audio, text, or other measurement information that may be generated by medical imaging equipment, as understood in the art. In one embodiment, themedical imaging organization 112 includes medical image reading professionals (not shown) who are employees or otherwise affiliated with themedical imaging organization 112. If themedical imaging organization 112 does have medical image reading professionals available to read themedical images 114, then the collecteddiagnostic information 106 may be communicated to themedical imaging organization 112 for the medical image reading professionals 108 to use. Themedical images 114 may be communicated to the medical image readingprofessional manager 110 via network(s) 116. The network(s) may include data packet networks (e.g., the Internet), telecommunication networks, or any other types of networks over which telephone calls and data may be communicated, as understood in the art. - The medical image reading
professional network manager 110 may collect and store thediagnostic information 106 andmedical images 114 of patients. The collecteddiagnostic information 106 andmedical images 114 may be communicated or otherwise distributed to the medical image reading professionals 108 or other medical image reading professionals that are not part of a network for use in gaining knowledge of a medical condition of a patient before reading medical images and diagnosing medical conditions of the patient. In response to reading the medical images and diagnosing medical conditions of patients, the medical image reading professionals 108 may generate adiagnosis 116 and communicate thediagnosis 116 back to the medical image readingprofessional network manager 110. The medical image readingprofessional network manager 110 may collect and distribute to the treating physicians directly or indirectly. It should be understood that theenvironment 100 is exemplary and that alternative configurations may be utilized to provide the medical image reading professionals 108 with thediagnostic information 106 generated by the treating physicians 102 in accordance with the principles of the present invention. -
FIG. 2 is a flow diagram of anexemplary process 200 for collecting diagnostic information and medical images to diagnose and treat patients. The process flow 200 shows how communications occur between the different parties shown inFIG. 1 . Atstep 202, a patient is assessed by a treatingphysician 102 a. The treatingphysician 102 a may perform an initial diagnosis of a medical condition. In diagnosing the medical condition of the patient, the treatingphysician 102 a may collect symptomatic information (i.e., symptoms that the patient has resulting from an underlying medical condition), diagnostic information (i.e., thoughts on what the medical condition could be), and clinical question(s) (i.e., question(s) that would lead another medical professional to investigate the possibility of the patient having a particular medical condition). - At
step 204, thediagnostic information 106, which may include a clinical question, may be communicated to the third-party diagnosticinformation collection organization 104. The communication of the information may be performed in a variety of ways, including telephone call, fax, Internet communication, or otherwise. Thediagnostic information 106 may be stored and further communicated to the medical image readingprofessional manager 110 atstep 206. Alternatively, rather than the treatingphysician 102 a communicating thediagnostic information 106 to the third-party diagnosticinformation collection organization 104, thediagnostic information 106 may be directly communicated to the medical image readingprofessional manager 110. In one embodiment, thediagnostic information 106 may be communicated to themedical imaging organization 112 to provide knowledge to the medical imaging technicians for capturing medical images that show anatomical regions in a manner that can better assist the medical image reading professional 108 a in diagnosing the medical condition of the patient. - At
step 208, themedical imaging organization 112 may image the patient to generatemedical images 114, which may be communicated to the medical image readingprofessional manager 110 atstep 210. Alternatively, themedical images 114 may be communicated directly to the medical image reading professional 108 a. If themedical images 114 are communicated to the medical image readingprofessional manager 110, then the medical image readingprofessional manager 110 may communicate both thediagnostic information 106, which may include clinical question, andmedical images 114 to the medical image reading professional 108 a atstep 212. - At
step 214, the medical image reading professional 108 a may diagnose the patient based on thediagnostic information 106 andmedical images 114. Adiagnosis 116 may be communicated to the medical image readingprofessional manager 110 atstep 216 a and, in response, the medical image reading professional manager may communicate thediagnosis 116 to the treatingphysician 102 a. It should be understood that the medical image reading professional 108 a may communicate thediagnosis 116 directly to the treatingphysician 102 a as well. Atstep 218, the treatingphysician 102 a may create a treatment plan. -
FIG. 3 is a block diagram of anexemplary network 300 used to collect and communicate diagnostic information and medical images to enable diagnosis and treatment of patients. Thenetwork 300 may include computing and/or communications devices at each organization and medical professional. For example, treating physicians may utilized personal computers 302 a-302 n (collectively 302) or other computing devices, such as servers (not shown) for communicating with acommunications network 304. A third-party diagnosticinformation collection organization 104 may utilize telephones (not shown) andserver 306 for collecting diagnostic information of patients from treating physicians. Astorage unit 308 that stores adata repository 310 of diagnostic information collected from the treating physicians may be in communication with theserver 306. Thedata repository 310 may be a database of any configuration, as understood in the art. - Medical image reading professionals may utilize personal computers 312 a-312 n (collectively 312) for receiving and communicating information, such as diagnostic information and medical images over the
network 304. A medical image reading professional network manager may utilize aserver 314 for collecting information, such as diagnostic information and medical images, in astorage unit 316 in one or more data repositories 318 a-318 n (collectively 318). A medical imaging organization may utilize aserver 320 for collecting medical images and storing the medical images in astorage unit 322 in adata repository 324. Although each organization is shown to have oneserver -
Data packets 326 may be communicated betweenservers data packets 326 may utilize any communications protocol for communicating data, voice, images, or video, as understood in the art. It should be understood that the use ofdata packets 326 is exemplary and that any other communications protocol may be utilized for communicating the diagnostic information and medical images. The communications between each of the computing and/or communications devices provided inFIG. 3 may be performed in the same or analogous manner as provided inFIGS. 1 and 2 . -
FIG. 4 is a screen shot of an exemplary graphical user interface (GUI) 400 that enables a medical image reading professional to access medical images and diagnostic information prepared by treating physicians of associated patients. TheGUI 400 may be a website provided by the medical image reading professional manager for medical image reading professionals in a medical image reading professional network or otherwise access diagnostic information and associated medical images of patients. TheGUI 400 may be a website on the Internet, virtual private network (VPN), intranet, or any other network. In one embodiment, theGUI 400 may include alist 402 of indicia representative of patients. The indicia may be alphanumeric and may be patient names or other identifiers. A medical image reading professional interfacing with theGUI 400 may select a patient, such as a patient having identifier P6996, using a pointing device, such as a computer mouse that controls acursor 404, as understood in the art. In selecting the patient, the medical image reading professional may click the indicia or other selectable graphical element. - In response to the medical image reading professional selecting the patient,
patient information 406 may be displayed in theGUI 400. In one embodiment, thepatient information 406 may include medical “thumbnails” of medical images 408 a-408 n (collectively 408) and a listing ofdiagnostic information 410 in atext region 412. As previously described, the diagnostic information may include symptomatic information, diagnostic information, and clinical question(s). Each of the medical images 408 may be selectable such that a medical image reading professional may double-click on a medical image and the medical image may be displayed in a pop-up window, another webpage (seeFIG. 5 ), or same webpage as currently being displayed. It should be understood that theGUI 400 is exemplary and that there are many alternative configurations of enabling a medical image reading professional to access the medical images 408 and diagnostic information. -
FIG. 5 is a screen shot of anotherexemplary GUI 500 that enables a medical image reading professional to access medical images and diagnostic information prepared by treating physicians of associated patients and prepare a diagnosis based on same. TheGUI 500 may display amedical image 502 of ananatomical region 504, such as a brain. TheGUI 500 may includeimage selection elements 506 to enable the medical image reading professional to selectively view each of the medical images in a set of medical images associated with a patient to diagnose a medical condition. Furthermore,image adjustment elements 508 may be selectively utilized to enable the medical image reading professional to adjust or otherwise alter themedical image 502. For example, the image adjustment elements may be used to zoom in/out, change contrast, sharpen, or perform any other image adjustment(s) as understood in the art. Theimage adjustment elements 508 may be provided with any graphical control element(s), as understood in the art. - A diagnosis
text entry box 510 may be provided for the medical image reading professional to enter diagnosis information associated with each medical image or the entire set of medical images. For example, the medical image reading professional may enter a finding, such as “cerebral aneurysm identified measuring 2 mm in diameter.” In addition, the medical image reading professional may utilize a graphical tool (not shown) to overlay anindicator 512 onto themedical image 502 to point to or otherwise identify (e.g., encircle or highlight) a medical condition, such as an aneurysm. The medical image reading professional may further utilize a measuring tool (not shown) to measure the size of the aneurysm and display the size on themedical image 502. It should be understood that additional diagnostic tools, manual, semi-automatic, or automatic, may be utilized in accordance with the principles of the present invention. In addition, the diagnostic tools may be configured to automatically generate, with or without confirmation by the medical image reading professional, diagnostic information into the diagnosistext entry box 510. - The medical image reading professional may select a “save”
button 514 to save the set of altered medical images and diagnostic information as he or she is working. A submitbutton 516 may also be provided on theGUI 500 to enable the medical image reading professional to submit the diagnoses and altered medical images to a medical image reading professional manager and/or treating physician when complete. -
FIG. 6 is a flow diagram of anexemplary process 600 for improving diagnoses of patients. Theprocess 600 starts atstep 602, where diagnostic information prepared by a treating physician of a medical condition of a patient may be accessed from a third-party collector of the diagnostic information. Atstep 604, medical images associated with the medical condition of the patient may be accessed. In accessing the diagnostic information and medical images, one or more data repositories that store the diagnostic information and medical images may be accessed. Alternatively, the diagnostic information and medical images may be passively received via a communications network. Atstep 606, at least a portion of the diagnostic information and medical images may be communicated to a medical image reading professional to read and further diagnose the medical condition of the patient. In communicating the diagnostic information and medical images, each may be posted on a website, provided in a queue for selection and download, or otherwise made available to a medical image reading professional to receive via download, or otherwise. In one embodiment, the diagnostic information and medical images may be communicated substantially simultaneously, where substantially simultaneously may include downloading both to or from a GUI. Alternatively, each of the diagnostic information and medical images may be downloaded or received separately from the same (e.g., medical image reading professional network manager) or different location (e.g., medical imaging organization and third-party diagnostic information collection organization). In response to the medical image reading professional completing a further diagnosis of the medical condition of the patient, the further diagnosis may be communicated back to the medical image reading professional network and/or treating physician. - The diagnostic information may include a clinical question, which may be provided by the treating physician or derived from diagnostic information provided by the treating physician. If derived from the diagnostic information, the derivation may be performed by a third-party diagnostic information collection organization. The clinical question may be communicated with the diagnostic information.
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FIG. 7 is a block diagram ofexemplary modules 700 that may be utilized to provide operations in accordance with the principles of the present invention. The modules may include a diagnosticinformation access module 702, medicalimage access module 704, andcommunication module 706. The diagnosticinformation access module 702 may be configured to access diagnostic information from a third-party diagnostic information collection organization, a data repository at the medical image reading professional manager, a treating physician, or via a communication. In one embodiment, themodule 702 may include a search function for searching a data repository for a particular record associated with a particular patient using a patient identifier. The medicalimage access module 704 may be configured to access medical images from a data repository at a medical imaging organization or medical image reading professional network manager. The medicalimage access module 704 may include a search function for search a data repository for a particular record with a particular patient. Thecommunication module 706 may be configured to communicate with themodules GUI module 708 may be configured to generate a GUI for a user to enable the medical image reading professional to download the diagnostic information and medical images utilizing the communication module. Thediagnosis collection module 710 may be configured to receive a diagnosis of a medical condition of a patient as prepared by the medical image reading professional (seeFIG. 5 ). In one embodiment, thediagnosis collection module 710 may be configured to store the diagnosis prepared by the medical image reading professional in association with the diagnostic information. A clinicalquestion generation module 712 may also be provided to enable treating physician or third-party to generate and submit a clinical question. In one embodiment, the clinicalquestion generation module 712 may provide for the question to be entered manually or selected via a list of potential clinical questions. Themodules 700 may be software modules executed on a computing system, such as a server, operating on a communications network. It should be understood that themodules 700 are exemplary and that additional and/oralternative modules 700 may be utilized to perform the same or analogous functionality in accordance with the principles of the present invention. - The previous detailed description of a small number of embodiments for implementing the invention is not intended to be limiting in scope. One of skill in this art will immediately envisage the methods and variations used to implement this invention in other areas than those described in detail. The following claims set forth a number of the embodiments of the invention disclosed with greater particularity.
Claims (20)
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110093796A1 (en) * | 2009-10-20 | 2011-04-21 | Otho Raymond Plummer | Generation and data management of a medical study using instruments in an integrated media and medical system |
US20120036466A1 (en) * | 2010-08-04 | 2012-02-09 | General Electric Company | Systems and methods for large data set navigation on a mobile device |
US10199123B2 (en) | 2009-10-20 | 2019-02-05 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
USD1014543S1 (en) * | 2021-07-08 | 2024-02-13 | Medicaltek Co., Ltd. | Display screen with graphical user interface |
Families Citing this family (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102015041A (en) * | 2008-02-29 | 2011-04-13 | 松下电工株式会社 | Motion equipment system |
US9646079B2 (en) | 2012-05-04 | 2017-05-09 | Pearl.com LLC | Method and apparatus for identifiying similar questions in a consultation system |
US9904436B2 (en) | 2009-08-11 | 2018-02-27 | Pearl.com LLC | Method and apparatus for creating a personalized question feed platform |
WO2011019852A1 (en) * | 2009-08-11 | 2011-02-17 | JustAnswer Corp. | Method and apparatus for expert quality control |
JP5383431B2 (en) * | 2009-10-27 | 2014-01-08 | キヤノン株式会社 | Information processing apparatus, information processing method, and program |
US9536046B2 (en) * | 2010-01-12 | 2017-01-03 | Microsoft Technology Licensing, Llc | Automated acquisition of facial images |
US8516108B2 (en) * | 2010-10-01 | 2013-08-20 | Robert Bosch Healthcare Systems, Inc. | Self-governing medical peer rating system for health management content |
US10380320B2 (en) | 2012-02-03 | 2019-08-13 | Passport Health Communications, Inc. | Data restructuring for consistent formatting |
US20130262132A1 (en) * | 2012-03-30 | 2013-10-03 | Mckesson Financial Holdings | Methods, apparatuses and computer program products for facilitating real-time metrics impacting behavior of individuals to optimize performance |
US20130297323A1 (en) * | 2012-05-01 | 2013-11-07 | Netspective Communications Llc | System and method for providing clinical views or recommendations |
US9501580B2 (en) | 2012-05-04 | 2016-11-22 | Pearl.com LLC | Method and apparatus for automated selection of interesting content for presentation to first time visitors of a website |
US9275038B2 (en) | 2012-05-04 | 2016-03-01 | Pearl.com LLC | Method and apparatus for identifying customer service and duplicate questions in an online consultation system |
US10140888B2 (en) * | 2012-09-21 | 2018-11-27 | Terarecon, Inc. | Training and testing system for advanced image processing |
US9324111B2 (en) * | 2012-12-07 | 2016-04-26 | Passport Health Communications, Inc. | 271 embedded alerts |
US10510449B1 (en) * | 2013-03-13 | 2019-12-17 | Merge Healthcare Solutions Inc. | Expert opinion crowdsourcing |
US20150112701A1 (en) * | 2013-10-18 | 2015-04-23 | American Registry for Diagnostic Medical Sonography, Inc. | Simulated clinical case-based systems and methods for assessment of health-care professional's competence in evaluating and interpreting images and data |
US8977024B1 (en) * | 2014-01-31 | 2015-03-10 | Afraxis, Inc. | Distributed anatomical image analysis |
US20170140474A1 (en) * | 2014-11-18 | 2017-05-18 | Hung Tran | System and method for a micro-transaction based, crowd-sourced expert system that provides economic incentivized real-time human expert answers to questions, automated question categorization, parsing, and parallel routing of questions to experts, guaranteed response time and expert answers |
US20160232472A1 (en) * | 2015-02-06 | 2016-08-11 | Remedy Indiana, Inc. | System and method of health care management focused on physician enhancement |
US9519753B1 (en) | 2015-05-26 | 2016-12-13 | Virtual Radiologic Corporation | Radiology workflow coordination techniques |
US11309069B2 (en) * | 2016-07-18 | 2022-04-19 | C/Hca, Inc. | Aggregating data to identify diversion events |
EP3407226A1 (en) | 2017-05-24 | 2018-11-28 | Koninklijke Philips N.V. | An apparatus and method for providing feedback to a participant of a communication |
US10799189B2 (en) * | 2017-11-22 | 2020-10-13 | General Electric Company | Systems and methods to deliver point of care alerts for radiological findings |
US10783634B2 (en) | 2017-11-22 | 2020-09-22 | General Electric Company | Systems and methods to deliver point of care alerts for radiological findings |
US11049250B2 (en) * | 2017-11-22 | 2021-06-29 | General Electric Company | Systems and methods to deliver point of care alerts for radiological findings |
CN113614756A (en) * | 2019-03-26 | 2021-11-05 | Hrl实验室有限责任公司 | System and method for forecasting alerts with programmable human-machine hybrid ensemble learning |
US11423538B2 (en) * | 2019-04-16 | 2022-08-23 | Covera Health | Computer-implemented machine learning for detection and statistical analysis of errors by healthcare providers |
US11521716B2 (en) * | 2019-04-16 | 2022-12-06 | Covera Health, Inc. | Computer-implemented detection and statistical analysis of errors by healthcare providers |
JP7467109B2 (en) * | 2019-12-26 | 2024-04-15 | キヤノンメディカルシステムズ株式会社 | Task allocation support device, task allocation support system, task allocation support program, and task allocation support method |
US20220391987A1 (en) * | 2021-06-08 | 2022-12-08 | Anthony Allogia | Blockchain-based insurance claims transaction processing system and method |
Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020010395A1 (en) * | 1995-10-06 | 2002-01-24 | Strawder Glenn G. | Method for monitoring radiology machines, operators and examinations |
US20050021375A1 (en) * | 2002-04-04 | 2005-01-27 | Satoshi Shimizu | Cooperative diagnosis system |
US20050187787A1 (en) * | 2004-02-23 | 2005-08-25 | Rademr, Inc. | Method for payer access to medical image data |
US20050256743A1 (en) * | 2004-05-11 | 2005-11-17 | Dale Richard B | Medical imaging-quality assessment and improvement system (QAISys) |
US20060005347A1 (en) * | 2003-02-12 | 2006-01-12 | Mtd Products Inc | Combination string trimmer and blower tool |
US20060106640A1 (en) * | 2004-11-18 | 2006-05-18 | Deline Douglas N | Medical credit assurance method |
US20060122865A1 (en) * | 2004-11-24 | 2006-06-08 | Erik Preiss | Procedural medicine workflow management |
US20060173663A1 (en) * | 2004-12-30 | 2006-08-03 | Proventys, Inc. | Methods, system, and computer program products for developing and using predictive models for predicting a plurality of medical outcomes, for evaluating intervention strategies, and for simultaneously validating biomarker causality |
US20060195339A1 (en) * | 2005-02-25 | 2006-08-31 | Brent Backhaus | Multiple resource planning system |
US20070011024A1 (en) * | 2005-07-08 | 2007-01-11 | Dale Richard B | Business method - global data center for quality assessment and improvement system (GDC-QAISys) |
US20070136355A1 (en) * | 2005-12-14 | 2007-06-14 | Siemens Aktiengesellschaft | Method and system to detect and analyze clinical trends and associated business logic |
US20070232868A1 (en) * | 2006-01-30 | 2007-10-04 | Bruce Reiner | Method and apparatus for generating a radiologist quality assurance scorecard |
US20070232885A1 (en) * | 2006-03-03 | 2007-10-04 | Thomas Cook | Medical imaging examination review and quality assurance system and method |
US20070250352A1 (en) * | 2006-04-20 | 2007-10-25 | Tawil Jack J | Fully Automated Health Plan Administrator |
US20080004904A1 (en) * | 2006-06-30 | 2008-01-03 | Tran Bao Q | Systems and methods for providing interoperability among healthcare devices |
US20080306760A1 (en) * | 2007-06-07 | 2008-12-11 | Todd Minnigh | Administrative reports for digital radiology department |
US20090089082A1 (en) * | 2007-09-28 | 2009-04-02 | Microsoft Corporation | Get prep questions to ask doctor |
US20090094058A1 (en) * | 2007-01-29 | 2009-04-09 | Bruce Reiner | Quality assurance scorecard for diagnostic medical agent administration |
US20090132285A1 (en) * | 2007-10-31 | 2009-05-21 | Mckesson Information Solutions Llc | Methods, computer program products, apparatuses, and systems for interacting with medical data objects |
US7765109B2 (en) * | 2006-01-19 | 2010-07-27 | AG Mednet, Inc. | Systems and methods for obtaining readings of diagnostic imaging studies |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7366676B2 (en) * | 2001-05-29 | 2008-04-29 | Mevis Breastcare Gmbh & Co. Kg | Method and system for in-service monitoring and training for a radiologic workstation |
US7280612B2 (en) * | 2003-07-25 | 2007-10-09 | Zarbana Digital Fund Llc | Digital branch calibrator for an RF transmitter |
US20070180046A1 (en) * | 2005-09-30 | 2007-08-02 | Benjamin Cheung | Method for transporting medical diagnostic information over a wireless communications system |
US20070143164A1 (en) | 2005-12-01 | 2007-06-21 | Sanjeev Kaila | Business practice management system |
-
2009
- 2009-02-04 US US12/365,796 patent/US8073713B2/en active Active
- 2009-02-04 US US12/365,787 patent/US8214229B2/en active Active
- 2009-02-04 US US12/365,824 patent/US20090204437A1/en not_active Abandoned
- 2009-02-04 US US12/365,815 patent/US8224675B2/en not_active Expired - Fee Related
-
2011
- 2011-06-23 US US13/167,579 patent/US20110251857A1/en not_active Abandoned
Patent Citations (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020010395A1 (en) * | 1995-10-06 | 2002-01-24 | Strawder Glenn G. | Method for monitoring radiology machines, operators and examinations |
US20050021375A1 (en) * | 2002-04-04 | 2005-01-27 | Satoshi Shimizu | Cooperative diagnosis system |
US20060005347A1 (en) * | 2003-02-12 | 2006-01-12 | Mtd Products Inc | Combination string trimmer and blower tool |
US20050187787A1 (en) * | 2004-02-23 | 2005-08-25 | Rademr, Inc. | Method for payer access to medical image data |
US20050256743A1 (en) * | 2004-05-11 | 2005-11-17 | Dale Richard B | Medical imaging-quality assessment and improvement system (QAISys) |
US20060106640A1 (en) * | 2004-11-18 | 2006-05-18 | Deline Douglas N | Medical credit assurance method |
US20060122865A1 (en) * | 2004-11-24 | 2006-06-08 | Erik Preiss | Procedural medicine workflow management |
US20060173663A1 (en) * | 2004-12-30 | 2006-08-03 | Proventys, Inc. | Methods, system, and computer program products for developing and using predictive models for predicting a plurality of medical outcomes, for evaluating intervention strategies, and for simultaneously validating biomarker causality |
US20060195339A1 (en) * | 2005-02-25 | 2006-08-31 | Brent Backhaus | Multiple resource planning system |
US20070011024A1 (en) * | 2005-07-08 | 2007-01-11 | Dale Richard B | Business method - global data center for quality assessment and improvement system (GDC-QAISys) |
US20070136355A1 (en) * | 2005-12-14 | 2007-06-14 | Siemens Aktiengesellschaft | Method and system to detect and analyze clinical trends and associated business logic |
US7765109B2 (en) * | 2006-01-19 | 2010-07-27 | AG Mednet, Inc. | Systems and methods for obtaining readings of diagnostic imaging studies |
US20070232868A1 (en) * | 2006-01-30 | 2007-10-04 | Bruce Reiner | Method and apparatus for generating a radiologist quality assurance scorecard |
US7831445B2 (en) * | 2006-01-30 | 2010-11-09 | Bruce Reiner | Method and apparatus for generating an administrative quality assurance scorecard |
US20070232885A1 (en) * | 2006-03-03 | 2007-10-04 | Thomas Cook | Medical imaging examination review and quality assurance system and method |
US20070250352A1 (en) * | 2006-04-20 | 2007-10-25 | Tawil Jack J | Fully Automated Health Plan Administrator |
US20080004904A1 (en) * | 2006-06-30 | 2008-01-03 | Tran Bao Q | Systems and methods for providing interoperability among healthcare devices |
US20090094058A1 (en) * | 2007-01-29 | 2009-04-09 | Bruce Reiner | Quality assurance scorecard for diagnostic medical agent administration |
US20080306760A1 (en) * | 2007-06-07 | 2008-12-11 | Todd Minnigh | Administrative reports for digital radiology department |
US20090089082A1 (en) * | 2007-09-28 | 2009-04-02 | Microsoft Corporation | Get prep questions to ask doctor |
US20090132285A1 (en) * | 2007-10-31 | 2009-05-21 | Mckesson Information Solutions Llc | Methods, computer program products, apparatuses, and systems for interacting with medical data objects |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110093796A1 (en) * | 2009-10-20 | 2011-04-21 | Otho Raymond Plummer | Generation and data management of a medical study using instruments in an integrated media and medical system |
US8429547B2 (en) * | 2009-10-20 | 2013-04-23 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US8627221B2 (en) * | 2009-10-20 | 2014-01-07 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US20140108037A1 (en) * | 2009-10-20 | 2014-04-17 | Universal Research Solutions, Llc | Generation and Data Management of a Medical Study Using Instruments in an Integrated Media and Medical System |
US9153003B2 (en) * | 2009-10-20 | 2015-10-06 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US9460267B2 (en) * | 2009-10-20 | 2016-10-04 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US20160371465A1 (en) * | 2009-10-20 | 2016-12-22 | Universal Research Solutions, Llc | Generation and Data Management of a Medical Study Using Instruments in an Integrated Media and Medical System |
US10199123B2 (en) | 2009-10-20 | 2019-02-05 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US11170343B2 (en) * | 2009-10-20 | 2021-11-09 | Universal Research Solutions, Llc | Generation and data management of a medical study using instruments in an integrated media and medical system |
US20120036466A1 (en) * | 2010-08-04 | 2012-02-09 | General Electric Company | Systems and methods for large data set navigation on a mobile device |
JP2012038309A (en) * | 2010-08-04 | 2012-02-23 | General Electric Co <Ge> | Systems and methods for large data set navigation on a mobile device |
USD1014543S1 (en) * | 2021-07-08 | 2024-02-13 | Medicaltek Co., Ltd. | Display screen with graphical user interface |
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US20090204445A1 (en) | 2009-08-13 |
US20090204426A1 (en) | 2009-08-13 |
US8214229B2 (en) | 2012-07-03 |
US20090204436A1 (en) | 2009-08-13 |
US20110251857A1 (en) | 2011-10-13 |
US8224675B2 (en) | 2012-07-17 |
US8073713B2 (en) | 2011-12-06 |
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