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  Systems and methods for adaptive medical decision supportUSPTO Application #: 20060112050Title: Systems and methods for adaptive medical decision support Abstract: A computer-implemented method for adaptively supporting medical decisions of at least one user includes receiving a first input from a first device, receiving a second input from a second device, determining a suggested medical decision based at least in part on the first input and the second input, and transferring the suggested medical decision to the second device. (end of abstract) Agent: Larson Newman Abel Polansky & White, LLPl.l.p. - Austin, TX, US Inventors: Risto Miikkulainen, Michael D. Dahlin, Randolph P. Lipscher USPTO Applicaton #: 20060112050 - Class: 706046000 (USPTO) Related Patent Categories: Data Processing: Artificial Intelligence, Knowledge Processing System, Knowledge Representation And Reasoning Technique The Patent Description & Claims data below is from USPTO Patent Application 20060112050. Brief Patent Description - Full Patent Description - Patent Application Claims
CROSS-REFERENCE TO RELATED APPLICATION(S) [0001] The present application claims priority from U.S. non-provisional patent application Ser. No. 09/690,354, filed Oct. 17, 2000, entitled "SYSTEMS AND METHODS FOR ADAPTIVE MEDICAL DECISION SUPPORT," naming inventors Risto Miikkulainen, Michael Dahlin, and Randolph Lipscher, which application is incorporated by reference herein in its entirety. FIELD OF THE DISCLOSURE [0002] The present disclosure relates generally to computer-implemented systems and methods of gathering and analyzing medical information and adaptively supporting medical decision-making. BACKGROUND [0003] As a result of increasing populations, the per capita number of physicians in decreasing. Thus, medical professionals have ever-increasing pressure to be more efficiently in serving their growing patient numbers, while maintaining consistent levels of quality and accuracy. Many medical professionals use electronic medical records systems (EMR systems) to aid their practices. EMR systems can bring standardization to the storage and presentation of medical information and can provide consistent access to medical information. [0004] Though EMR systems bear some advantages, the systems do not always increase efficiency to degrees that merit the time and cost of building and implementing them. For instance, many such systems have one or a few centralized points of access-terminals or other computing devices at which data may be entered and received. Users often collect data themselves and subsequently enter the collected data into the system, nearly doubling the work. These points of access are also used to access data. While electronic access is typically faster than sorting through paper files, the data may often be accessed, printed or written, and delivered or relayed to another medical professional or patient who is not present at the access point. Again, the advantage of the systems over paper methods is only slight, when weighed against the time and cost required to build and implement the systems. [0005] Because of the inefficiencies involved with using centralized points of access, electronic medical systems have rarely been adopted, except for storage purposes. Thus, systems that might support medical professionals, or other users, with medical decision-making have been slow to develop. In the 1970's, systems began to develop, which attempted to integrate clinical decision support with electronic medical records, by flagging errors or symptoms and by suggesting questions, tests, diagnoses or treatments. But again, users could access the systems only after locating one of a certain few designated hardware devices. The user was required to enter information, wait for system suggestions, and relay the information to others at remote locations. In medical practices, this often frustrated both the medical professional and the patient, by disrupting patient-doctor interactions and the fluid course of business within medical care facilities. [0006] Over time, the systems have become more specialized. But, as expensive and time-consuming as these systems are to build, they are only made more cumbersome by tailoring them to meet the desires of individual users. Medical practitioners, for example, often practice in specialized fields, such as cardiology or pediatric surgery. General practitioners often serve specific patient populations. practitioners would be helped by tailoring systems to account for the peculiarities of their particular medical field and the history of cases that they have served, while also integrating their individual habits or preferences for routine diagnostic methods, terminology, certain medication types or brands, etc., into the systems. Thus, the current systems are not nearly as efficient, helpful, accurate, or easy to use, as they could be, or as users desire them to be. [0007] As such, improved systems and methods of gathering and analyzing medical information would be desirable. BRIEF DESCRIPTION OF THE DRAWINGS [0008] FIGS. 1 and 2 include illustrations of exemplary systems, in which at least one user device and at least one general use device communicate data with a host computer. [0009] FIG. 3 includes a table illustrating examples of patient data and medical data that may be transmitted to the host computer. [0010] FIG. 4 includes a table illustrating examples of information that may be transmitted to users from the host computer. [0011] FIG. 5 includes an illustration of an exemplary method for use by a system, such as the exemplary systems illustrated in FIGS. 1 and 2. [0012] FIGS. 6 and 7 include illustrations of exemplary systems that may implement an exemplary method, such as the exemplary method illustrated in FIG. 5. [0013] FIG. 8 includes an illustration of an electronic medical chart graphical user interface. [0014] FIG. 9 includes an illustration of an exemplary method that may be implemented by a system, such as the exemplary systems illustrated in FIGS. 1, 2, 6 and 7. [0015] FIG. 10 includes an illustration of an exemplary implementation of a learning-based model. [0016] FIG. 11 includes an illustration of an exemplary implementation of a neural networks system. DETAILED DESCRIPTION [0017] In a particular embodiment, a computer-implemented method for adaptively supporting medical decisions of at least one user includes receiving a first input from a first device, receiving a second input from a second device, determining a suggested medical decision based at least in part on the first input and the second input, and transferring the suggested medical decision to the second device. [0018] In another exemplary embodiment, a computer-implemented method for adaptively supporting medical decisions of at least one user includes receiving a medical input from a user device, determining a first suggested decision from a first predictive model, determining a second suggested decision from a second predictive model, and transferring the first suggested decision and the second suggested decision to the user device. [0019] In a further exemplary embodiment, a computer-implemented method for adaptively supporting medical decisions of at least one user includes receiving a user medical input and a user medical decision from a device, determining a suggested result based at least in part on the user medical input, comparing the user medical decision to the suggested result, and providing an indication based at least in part on comparing the user medical decision to the suggested result. Continue reading... Full patent description for Systems and methods for adaptive medical decision support Brief Patent Description - Full Patent Description - Patent Application Claims Click on the above for other options relating to this Systems and methods for adaptive medical decision support patent application. ###  How KEYWORD MONITOR works... a FREE service from FreshPatents1. Sign up (takes 30 seconds). 2. Fill in the keywords to be monitored. 3. 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