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| Pediatric Health Information System | |
|---|---|
| Name | Pediatric Health Information System |
| Type | Clinical administrative database |
| Subject | Pediatric healthcare data |
Pediatric Health Information System
The Pediatric Health Information System is a clinical and administrative database used by children's hospitals for benchmarking, research, and operational analytics. It aggregates inpatient, outpatient, and emergency department data from participating pediatric centers to support clinical care, quality improvement, and health services research. The system interfaces with hospital information systems, electronic health records, and analytics platforms to produce standardized datasets for multicenter comparison and policy analysis.
The Pediatric Health Information System aggregates administrative, billing, and clinical encounter data from member institutions such as Children's Hospital of Philadelphia, Boston Children's Hospital, Texas Children's Hospital, St. Jude Children's Research Hospital, and Seattle Children's Hospital to enable comparative analyses across pediatric populations. It standardizes elements drawn from source systems like Epic Systems Corporation, Cerner Corporation, Allscripts, MEDITECH, and McKesson into a common dataset compatible with research networks including National Institutes of Health, Agency for Healthcare Research and Quality, Centers for Disease Control and Prevention, American Academy of Pediatrics, and Pediatric Research in Inpatient Settings Network. Stakeholders include academic centers, professional societies such as Society for Pediatric Research, health policy bodies like The Joint Commission, and data vendors such as IBM Watson Health and OptumInsight.
Development involved collaborations among children's hospitals, academic researchers, and industry partners following models used by databases such as National Surgical Quality Improvement Program, State Inpatient Databases, Healthcare Cost and Utilization Project, Surveillance, Epidemiology, and End Results Program, and registries like Pediatric Cardiac Care Consortium. Early contributors included pediatric informatics groups affiliated with Johns Hopkins Hospital, Children's National Hospital, Cincinnati Children's Hospital Medical Center, University of California, San Francisco Medical Center, and Vanderbilt University Medical Center. Funding, governance, and methodological evolution intersected with initiatives from Robert Wood Johnson Foundation, Gates Foundation, Institute of Medicine, and federal agencies including National Center for Health Statistics. Over time, standards from Health Level Seven International and terminologies such as ICD-10, CPT (Current Procedural Terminology), LOINC, SNOMED CT, and RxNorm were integrated.
The system's architecture uses extract-transform-load pipelines to pull source data from electronic health record vendors like Epic Systems Corporation and Cerner Corporation, transform records using mappings aligned with SNOMED CT and ICD-10, and store standardized tables for diagnoses, procedures, charges, and demographics akin to models used by Observational Health Data Sciences and Informatics and the PCORnet common data model. Data elements include encounter-level records, patient demographics, payer information referencing programs such as Medicaid (United States), and clinical cost metrics comparable to datasets from Centers for Medicare & Medicaid Services and Healthcare Cost and Utilization Project. Analytical layers leverage platforms such as SAS Institute, R (programming language), Python (programming language), and cloud services from Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
Clinicians and administrators use the dataset for case mix adjustment, morbidity and mortality benchmarking, length-of-stay analysis, and resource utilization studies similar to projects by Pediatric Quality Improvement Collaborative and registries like Virtual Pediatric Systems. Applications include pediatric subspecialty benchmarking for pediatric cardiology, neonatology, pediatric oncology, and pediatric critical care medicine informed by practice guidelines from American Academy of Pediatrics, American Heart Association, and Society of Critical Care Medicine. Administrative use cases involve billing reconciliation against Centers for Medicare & Medicaid Services coding guidance, capacity planning aligned with standards from The Joint Commission, and payer negotiations with entities such as Blue Cross Blue Shield and UnitedHealthcare.
Governance structures mirror frameworks from Health Insurance Portability and Accountability Act of 1996, data use agreements similar to those used in consortia like National Patient-Centered Clinical Research Network, and institutional review board oversight at participating centers such as Yale New Haven Hospital and Children's Hospital Colorado. Privacy protections apply de-identification standards referenced in guidance from Office for Civil Rights (United States Department of Health and Human Services), and security practices draw on controls advocated by National Institute of Standards and Technology and federal cybersecurity directives. Legal and ethical considerations involve compliance with statutes like Children's Online Privacy Protection Act where relevant and contractual governance with hospital systems and vendors including IBM Watson Health.
Researchers utilize the database for epidemiology, comparative effectiveness, and outcomes research published in journals affiliated with Pediatrics (journal), The Journal of Pediatrics, JAMA Pediatrics, New England Journal of Medicine, and The Lancet Child & Adolescent Health. Multicenter quality improvement collaboratives modeled on IHI Open School and registries such as National Pediatric Cardiology Quality Improvement Collaborative employ the data for run charts, control diagrams, and statistical process control alongside methodological contributions from institutions like Harvard Medical School, Stanford University School of Medicine, and University of Pennsylvania Perelman School of Medicine.
Adoption requires alignment with hospital informatics teams at centers such as Cincinnati Children's Hospital Medical Center, integration with EHR vendors like Epic Systems Corporation, and negotiation of data use agreements paralleling efforts by PCORI. Challenges include variation in coding practices across institutions, timeliness of data submission, risk adjustment limitations similar to critiques of Hospital Compare (Medicare), and balancing data utility with privacy obligations under Health Insurance Portability and Accountability Act of 1996 and institutional policies. Ongoing efforts draw on collaborations with academic centers, professional societies, funders, and technology partners to enhance data quality, expand coverage, and support evidence-based pediatric care.
Category:Healthcare databases