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Pages 511-528

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From page 511... ... See Association for the major causes of, 187 Advancement of Medical preventing, 185–187 Instrumentation scenario for interoperability Academic institutions, terminologies of, demonstration project, 74–75 104–106 triggers for, 205 Accountability versus learning Adverse Event Reporting System (AERS) , case study, 262–263 215–221, 335 concept of preventability, 268–269 functional requirements, 215–216 implications for patient safety data implications for data standards, 217– systems, 269–273 221 Scherkenbach's cycle of fear, 265–268 Adverse events (AEs) Read the entire page →
From page 512... ... See Australian Incident for adverse events, 327 Monitoring System for chart review, 205 AIMS Risk Assessment Index (RAI) , 294 increasing importance of, 221–222 Alert message, 327 for outpatient adverse events, 208 Alertness, 230 Alternative Summary Reporting-Medical Devices (ASR) Read the entire page →
From page 513... ... See Consolidated Health Informatics patient safety reporting systems and Child Health Accountability Initiative applications, 250–278 (CHAI) , overview of, 312–313 recommendations, 169–170 Children's Health Insurance Program standardized reporting, 279–316 (CHIP) Read the entire page →
From page 514... ... , 108–111 149, 152 National Alliance for Health mapping to supplemental Information Technology, 117– terminologies, 154–155 118 medical device terminologies, 153–154 National Committee on Vital and overview of core and supplemental Health Statistics (NCVHS) , 115 terminologies, 150–151 Public Health Data Standards Systemized Nomenclature for Human Consortium, 116–117 and Veterinary Medicine, reporting standards, 111–114 Clinical Terms (SNOMED CT) Read the entire page →
From page 515... ... , 7, 11, 16, 25, Data standards, 63–64, 127–168, 214–215, 46–47, 89, 108, 123, 335 217, 221, 242–245 leadership strengthened for the NHII, comprehensive list of data sources and 123 reporting requirements, 130– Detection of adverse events, 185–187 131 comparison of various approaches for, data interchange formats, 12–14, 48– 203–204 49, 128–129, 158–162 data requirements for, 204–206 defining terms, 128–132, 217–218 design and operation of system definitions and models, 128–132, 242– components, 243 243 general framework for processing design and operation of system near-miss reports, 240 components, 243–244 implications for data standards, 214– implementation, 163–164 215 Read the entire page →
From page 516... ... See Department of Health and EHR. See Electronic health record Human Services Eindhoven classification model, medical Diabetes Quality Improvement Project version, 22, 297, 300–301 (DQIP) Read the entire page →
From page 517... ... , 22, 336 113–114, 336 Free text uses, 233 Frequency of adverse drug events by F cause, 183 FACCT. See Foundation for Accountability G Failure mode and effect analysis (FMEA) Read the entire page →
From page 518... ... , 72, Implementation 336 of adverse event systems, 183–184 HEDIS. See Health Plan Employer Data of the common report format, 304–307 and Information of data standards, 163–164 HFMEA. Read the entire page →
From page 519... ... , 5, 25, 337 with adverse event systems, 239–240 Sentinel Event Policy, 418–423 of individual human error/recovery Journal of American Informatics models with team-based error/ Association (JAMIA) , 337 recovery models, 193 "Just" culture, 177 with other systems, 234 of retrospective and prospective techniques, 193–194 K International Classification of Diseases (ICD) Read the entire page →
From page 520... ... See Medicomp Systems rules for detecting possible adverse Incorporated drug events using automated MedDRA. See Medical Dictionary for surveillance, 207 Drug Regulatory Affairs triggers for outpatient adverse drug Medical device terminologies, 153–154 events, 208 Medical Dictionary for Drug Regulatory MPSMS. Read the entire page →
From page 521... ... See National Drug Codes conceptual model of standards-based, NDF RT. See National Drug File Clinical integrated data systems to Drug Reference Terminology support patient safety, 56–61 Near-miss analysis, 30, 171–172, 226–245, dimensions of, 54 332, 338 elements of, 6–8 causal continuum assumption, 230– enforcement of privacy and security, 90 231 federal leadership and public-private data collection, 237–238 partnerships, 96–126 design and operation of system financial incentives, 88–90 components, 244 health care data standards, 127–168 framework for processing near-miss implementing the systems, 72–78, 86– reports, 240–242 91 functional aspects, 215–216 informatics components, 61–72 functional requirements of near-miss organizational leadership, 86–88 systems, 234–236 practical approaches to moving fundamental aspects of near-miss forward, 78–86 systems, 232–233 recommendations, 6–8, 45, 47 gaps between ideal and current technical assistance, 90 systems, 242 Read the entire page →
From page 522... ... See Nursing Outcomes 245 Classifications incident causation model, 228 Normalized notations for clinical drugs integration with adverse events (RxNORM) , 150, 338 systems, 239–240 North American Nursing Diagnosis mindfulness/alertness, 230 Association (NANDA) Read the entire page →
From page 523... ... , 83 data system design, 270 Perspective Online, 85 design and operation of system Practice-based research networks components, 244 (PBRNs) , 109 in health care settings, 17–20 President's Information Technology IOM-Health Level Seven Advisory Committee, 6 demonstration project, 72–78 Preventability level of help provided for collecting concept of, 268–269 and analyzing the data, 236 Preventing adverse drug events, 185–187 nature of the information collected, Prevention quality indicator (PQI) Read the entire page →
From page 524... ... , 338, of QI/PHA methodologies, 486–489 481–485 quality improvement tools, 473–481 features common to all approaches, 486 unique features to specific PHA tools, features unique to specific tools, 487 487 FMEA/HFMEA, 481–482 Quality improvement tools, 473–481 HACCP, 482–483 proactive hazard analysis approaches, HAZOP, 484 476–477 PHA, 484–485 quality improvement approaches, 474– quality improvement tools, 476–477 475 RCA, 485 Six Sigma, 480–481 Probabilistic risk assessment (PRA) , 338 TPS, 479–480 case studies, 499–501 TQM/CQI, 478–479 Professional associations Quality in Australian Health Care Study, 30 terminologies of, 104–106 Quality indicators for patient safety Program for Appropriate Technology in (QIPS) Read the entire page →
From page 525... ... , 333, 338 RCA. See Root-cause analysis case studies, 501–503 Recommendations, 6–8, 15–17, 45, 47– proactive hazard analysis, 485 48, 49–50 Root-cause taxonomies clinical data interchange standards, 16, context variables, 233 49 failure root causes, 233 clinical terminologies, 16–17, 50 free text, 233 elements of a health information need for, 233 infrastructure, 6–8 recovery root causes, 233 establishment of comprehensive RSNA. Read the entire page →
From page 526... ... See Statewide Planning and 108–111 Research Cooperative System reporting standards, 111–114 Special Nutritionals Adverse Event terminologies, 102–108 Monitoring System (SNAEMS) , State reporting systems, 382–401 338 analysis of serious events, 384 Standardized mappings of terminologies, examples from the New York and 105, 107–108 Florida reporting system, 386– Standardized report format 393 basic domains, 286–287 Florida state annual report, 400 causal analysis, 293, 295–301 Florida state Code 15 report, 401 desirable parameters of a medical Florida state reportable events, 399 event reporting system, 285 format for reporting, 382–383 essential elements of, 283–304 method of reporting, 383 event-type taxonomy, 287–292 New York Patient Occurrence lessons learned, 302 Reporting and Tracking System need for, 280–283 (NYPORTS) Read the entire page →
From page 527... ... , verifying adverse events, 196 80, 85, 339 Total quality management (TQM) , 339 example of federal patient safety/ and quality improvement tools, 478– health care reporting and 479 surveillance systems, 374–381 Read the entire page →
From page 528... ... , 103 Voluntary reporting, 204, 335 World Organization of National Colleges, VSD. See Vaccine Safety Datalink Academies, and Academic Associations of General Practitioners and Family W Physicians (WONCA) Read the entire page →

From page 511...

... See Association for the major causes of, 187 Advancement of Medical preventing, 185–187 Instrumentation scenario for interoperability Academic institutions, terminologies of, demonstration project, 74–75 104–106 triggers for, 205 Accountability versus learning Adverse Event Reporting System (AERS) , case study, 262–263 215–221, 335 concept of preventability, 268–269 functional requirements, 215–216 implications for patient safety data implications for data standards, 217– systems, 269–273 221 Scherkenbach's cycle of fear, 265–268 Adverse events (AEs)

Index Pages 511-528

Index
Pages 511-528