5.1 RADT Object Model as a Basis for Communication—The RADT object model is the first model used to create a common library of consistent entities (objects) and their attributes in the terminology of object analytical models as applied to the healthcare domain. These object models can be used to construct and refine standards relating to healt care information and its management. Since the RADT object model underpins the design and implementation of specific systems, it provides the framework for establishing the systematics of managing observations made during health care. The observations recorded during health care not only become the basis for managing an individual's health care by practitioners but are also used for research and resource management. They define the common language for abstracting and codifying observations. The inconsistency and incompleteness of the data recorded in paper records is well known and has been noted by the Institute of Medicine's study (4). The ability to build the recommended EHR begins with RADT, as noted in Practice E1239. A more detailed specification of the RADT process and its specific functional domain shall begin with a formal model. Furthermore, following agreement on the initial model, that model shall evolve as knowledge accumulates and the initial view of the healthcare domain extends to other social and psychologic processes that link healthcare with other functional domains of society. The management of lifelong cases of care, such as those of birth defects in newborns, will involve interactions with social work and educational functional domains of experience. It has been recognized for some time (5) that a “healthcare team,” in the broader sense, is involved in dealing with these complex cases. The RADT model is the core to linking these functional domains together in a transparent way. For that reason, the object terminology is used to enable the most global view and vernacular that will facilitate communication among technical specialties that participate in managing some aspect of health care or that build systems to manage the required information.5.2 Common Terminology as a Basis for Education—The use of models and their associated terminology implies that education of the healthcare practitioners shall incorporate this view to a significant extent. While a detailed specification of systems requires extensive lexicons of carefully defined terms, a more understandable terminology shall evolve for the process of educating practitioners during their formal education as well as continuing to educate current practioners concerning how this new technology can be integrated with their existing practices. This challenge has yet to be met, but the objects and modeling concepts presented here are intended to be named with the most intuitive titles in order to promote clear understanding during their use in instruction. Nevertheless, relating these objects and their properties to everyday practice remains a significant challenge, for both the implementors of systems and educators. The perspectives cataloged here can be used in the creation of system documentation and curricula represented in a variety of media.1.1 This practice is intended to amplify Practice E1239 and to complement Practice E1384 by detailing the objects that make up the reservation, registration, admitting, discharge, and transfer (RADT) functional domain of the computer-based record of care (CPR). As identified in Practice E1239, this domain is seminal to all patient record and ancillary system functions, including messaging functions used in telecommunications. For example, it is applicable to clinical laboratory information management systems, pharmacy information management systems, and radiology, or other image management, information management systems. The object model terminology is used to be compatible with other national and international standards for healthcare data and information systems engineering or telecommunications standards applied to healthcare data or systems. This practice is intended for those familiar with modeling concepts, system design, and implementation. It is not intended for the general computer user or as an initial introduction to the concepts.

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5.1 The purpose of this practice is to provide data that can be used for evaluation of the accuracy of different CAS systems.5.2 The use of surgical navigation and robotic positioning systems is becoming increasingly common. In order to make informed decisions about the suitability of such systems for a given procedure, their accuracy capability needs to be evaluated under clinical application and compared to the requirements. As the performance of a whole system is constrained by those of its subparts, a preliminary step must be to objectively characterize the accuracy of the tracking subsystem in a controlled environment under controlled conditions.5.3 In order to make comparisons within and between systems, a standardized way of measuring and reporting accuracy is needed. Parameters such as coordinate system, units of measurement, terminology, and operational conditions must be standardized.1.1 This document provides procedures for measurement and reporting of basic static performance of surgical navigation and/or robotic positioning devices under defined conditions. They can be performed on a subsystem (for example, tracking only) or a full computer-aided surgery system as would be used clinically. Testing a subsystem does not mean that the whole system has been tested. The functionality to be tested based on this practice is limited to the performance (accuracy in terms of bias and precision) of the system regarding point localization in space by means of a pointer. A point in space has no orientation; only multidimensional objects have orientation. Therefore, orientation of objects is not within the scope of this practice. However, in localizing a point the different orientations of the pointer can produce errors. These errors and the pointer orientation are within the scope of this practice. The aim is to provide a standardized measurement of performance variables by which end users can compare within a system (for example, with different reference elements or pointers) and between different systems (for example, from different manufacturers). Parameters to be evaluated include (based upon the features of the system being evaluated):(1) Accuracy of a single point relative to a coordinate system.(2) Sensitivity of tracking accuracy due to changes in pointer orientation.(3) Relative point-to-point accuracy.1.1.1 This method covers all configurations of the evaluated system as well as extreme placements across the measurement volume.1.2 This practice defines a standardized reporting format, which includes definition of the coordinate systems to be used for reporting the measurements, and statistical measures (for example, mean, RMS, and maximum error).1.3 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard, except for angular measurements, which may be reported in terms of radians or degrees.1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

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3.1 With the proliferation of computers and other electronic devices, it is difficult to imagine a crime that could not potentially involve digital evidence. Because of the paucity of degree programs in computer forensics, practitioners have historically relied on practical training through law enforcement or vendor-specific programs or both.3.2 In this guide, curricula for different levels of the educational system are outlined. It is intended to provide guidance to:3.2.1 Individuals interested in pursuing academic programs and professional opportunities in computer forensics,3.2.2 Academic institutions interested in developing computer forensics programs, and3.2.3 Employers seeking information about the educational background of graduates of computer forensics programs and evaluating continuing education opportunities for current employees.1.1 This guide will improve and advance computer forensics through the development of model curricula consistent with other forensic science programs.1.2 Section 4 describes the alternative paths by which students may arrive at and move through their professional training. Sections 5 through 7 cover formal educational programs in order of increasing length: a two- year associate degree, a four-year baccalaureate degree, and graduate degrees. Section 8 provides a framework for academic certificate programs offered by educational institutions. Section 9 outlines model criteria and implementation approaches for training and continuing education opportunities provided by professional organizations, vendors, and academic institutions.1.3 Some professional organizations recognize computer forensics, forensic audio, video, and image analysis as subdisciplines of computer forensics. However, the curricula and specific educational training requirements of subdisciplines other than computer forensics are beyond the scope of this guide.1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

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1.1 This guide establishes a process for the verification of application software used to calculate the mechanical properties of materials.1.2 This guide has two purposes: (1) it provides guidelines for creating standard data sets for verifying computer-generated test results, and (2) it describes how users can verify whether the calculations in their application software produce accurate, acceptable results. This does not ensure that the software will produce correct results in all cases. The verification is only for those conditions covered by the standard data sets. This guide uses the concept of standard “data sets,” which are made available by the ASTM groups responsible for each of the individual standards.1.3 This guide defines the terminology, the format, and the process for the use of these data sets and how the data sets are to be used for verification. It does not define the specific data sets required to verify each of the application standards. Rather, such data sets would become a necessary part of the standard and would be classified as an adjunct in accord with the definition in section B29 of the “Form and Style for ASTM Standards.” This classifies an adjunct as any material that is required for use of the standard but is not practicable to publish as an integral part of the standard.1.4 In Annex A1 there is an example of how such data sets would be made available for one example standard.1.5 Because the verification data sets are contained in files supplied to the application software in the computer, this procedure only provides verification of post-test calculations performed by the computer system. It does not evaluate the data acquisition system, real-time calculations, or any other part of the software beyond the post-test calculations.1.6 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

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2.1 Commercially available computer material management programs are being used regularly in the rubber industry. These programs typically will retrieve information from a raw material or compounding material data base by chemical name, CAS registry number, trade name, and supplier name. Retrieving information by these fields can present problems. The common chemical names are not standardized. IUPAC nomenclature is standardized but the names typically are too lengthy for easy retrieval. Also, the user may not have information such as trade name, supplier name, or CAS registry number.2.2 An alternate method of retrieving information from a raw material or compounding material data base is to sort by classification. This has the added advantage of enabling a compounder to select a compounding material from a given classification for a new compound formulation.1.1 This classification is intended to establish a method to find compounding materials on a computer data base by both functional and chemical classification. This classification will include rubber compounding materials or ingredients normally used in formulating rubber compounds. This classification is not intended for use in rubber latex or solvent based rubber adhesive applications.1.2 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.1.3 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

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The purpose of this practice is to describe techniques and procedures for computer forensics in regard to evidence handling, computers, digital imaging, and forensic analysis and examination.The examiner should be trained in accordance with Guide E2678.Individuals not trained in proper digital evidence procedures should consult with an appropriate specialist before proceeding.When dealing with technology outside your area of expertise, consult with an appropriate specialist before proceeding.1.1 This practice describes techniques and procedures for computer forensics within the context of a criminal investigation.1.1.1 This practice can be applicable to civil litigation.1.2 This practice describes seizing possible evidence, proper evidence handling, digital imaging, forensic analysis/examination, evidence-handling documentation, and reporting.1.3 This practice is not all inclusive and does not contain information relative to specific operating systems or forensic tools.1.4 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

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