A strategic view of adverse event coding.In April, FDA FDA abbr. Food and Drug Administration FDA, n.pr See Food and Drug Administration. FDA, n.pr the abbreviation for the Food and Drug Administration. announced that adverse event concepts represented in the Highlights Section of the Structured Product Label, as part of the new Physicians Labeling Rule, must be "code-able" to a term within a subset of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) referred to as the "Problem List Subset". This announcement generated considerable confusion within the pharmaceutical industry, particularly among data management and labeling departments. Among the concerns generated was the impact this announcement would have on the use of MedDRA, a terminology and dictionary widely used in industry for "coding" of adverse events for regulatory reporting. Many viewed this action by FDA as a burden on industry, since it was interpreted as suggesting the need to revamp information systems used in adverse event data collection and management. Despite this confusion, this action by FDA provides industry an opportunity to consider its strategy concerning terminology management in its information systems and the role that other standardized coding systems might play in managing safety relevant data. SNOMED CT SNOMED (Systematized Nomenclature of Medicine), is a systematically organised computer processable collection of medical terminology covering most areas of clinical information such as diseases, findings, procedures, microorganisms, pharmaceuticals etc. is a highly developed and very "fine-grained" medical terminology Medical terminology is a vocabulary for accurately describing the human body and associated components, conditions, processes and procedures in a science-based manner. This systematic approach to word building and term comprehension is based on the concept of: (1) Word roots, (2) that has been under intense expert development for many years. It has been viewed as having the potential to serve as the standard medical concept representation system for electronic health records, and has been officially recognized as such in information systems supporting government-sponsored health care activities. Knowledge and understanding of SNOMED CT and a fresh look at the role and robustness of coding systems would be advantageous for industry. As a first step in understanding how to leverage modern health care coding systems for industry-related needs, one should understand that "coding" systems are not "religion." The ultimate goal is to leverage each and every coding system based on the business cases and needs that emerge. Interest in and/or use of SNOMED CT does not mean that MedDRA needs to be replaced or that it serves industries less well than SNOMED CT might. An ideal approach would be to have core set of terminology services and capabilities that enable cross-mapping of multiple terminologies, serving up the code set that represents the intended concept according to according to prep. 1. As stated or indicated by; on the authority of: according to historians. 2. In keeping with: according to instructions. 3. business requirements. Hence, for labeling purposes, a terminology support system can mange mange (mānj), contagious skin disease of domestic and wild animals. The several types of mange, including follicular and sarcoptic mange, are caused by various minute parasitic mites that burrow into skin, hair follicles, or sweat glands. the representation of concepts within the Structured Product Label while at that same time support MedDRA coding based for other needs. SNOMED CT has the advantage of fine-grained logical concept representation such that the expressivity expressivity /ex·pres·siv·i·ty/ (eks?pres-siv´i-te) in genetics, the extent to which an inherited trait is manifested by an individual. is more specific. Each concept in SNOMED CT has a "definition" that is based on the formal relationships between and among the terms within SNOMED CT. This enables more consistent coding across multiple users. Because SNOMED CT has inherent logic it is also suitable for use in technologies that leverage natural language processing Natural language processing Computer analysis and generation of natural language text. The goal is to enable natural languages, such as English, French, or Japanese, to serve either as the medium through which users interact with computer systems such as for automated coding. The inherent logic in SNOMED CT also provides the potential for explicit rules that might support auto-coding into MedDRA. SNOMED CT can potentially provide fine-grained coding of concepts within the narrative of adverse event safety reports, enabling more sensitive and specific analytics of those reports. Industry should begin to gain better understanding of emergence of highly comprehensive, detailed, and logic-based terminologies as part of their forward thinking information management strategies, especially those strategies that involve the leveraging of information for electronic health records. Alex Ruggieri is the Chief Medical Officer and Senior Director for Safety Solutions with Cerner Corporation in its Cerner Galt division. Dr. Ruggieri has extensive experience in the regulatory and risk management aspects of the therapeutics and device development industry. He has directed and managed a therapeutic area within a large biotechnology company and also served as a director for information management and strategy in safety and regulatory affairs Regulatory Affairs (RA), also called Government Affairs, is a profession within regulated industries, such as pharmaceuticals, medical devices, energy, and banking. Regulatory Affairs professionals usually have responsibility for the following general areas: n the field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine. fellowship at Mayo Clinic Mayo Clinic: see Mayo, Charles Horace. Mayo Clinic voluntary association of more than 500 physicians in Rochester, Minnesota. [Am. Hist.: EB, 11: 723] See : Medicine , where he worked on terminology management in automated systems, text mining and creation of clinical data warehouses to support data mining and hypothesis exploration from electronic medical records. He received his M.D. from Georgetown University Georgetown University, in the Georgetown section of Washington, D.C.; Jesuit; coeducational; founded 1789 by John Carroll, chartered 1815, inc. 1844. Its law and medical schools are noteworthy, and its archives are especially rich in letters and manuscripts by and and his masters in public health from Johns Hopkins University Johns Hopkins University, mainly at Baltimore, Md. Johns Hopkins in 1867 had a group of his associates incorporated as the trustees of a university and a hospital, endowing each with $3.5 million. Daniel C. . Dr. Ruggieri joined Cerner in September of 2006 to join in Cerner initiatives to bring the power of data emerging from robust electronic health information repositories to stakeholders in the therapeutics industry. Dr. Ruggieri leads the Medical and Data Services Division of Cerner Galt and also contributes to technological solutions development in the therapeutics and drug safety arenas. Dr. Ruggieri's main focus is enabling the development and access of clinical data stores to support risk management and safety assessment business cases in the therapeutics development industry. Dr. Ruggieri will be speaking on SNOMED-CT at a one-hour ExpertBriefings.com audioconference, Wed. May 9, 2 p.m. EDT EDT abbr. Eastern Daylight Time EDT Eastern Daylight Time EDT n abbr (US) (= Eastern Daylight Time) → hora de verano de Nueva York EDT . To register, call (703) 779-8777 or visit www.ExpertBriefings.com |
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