National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Cancer (2)
- Care Coordination (1)
- Children/Adolescents (2)
- Clinician-Patient Communication (1)
- Comparative Effectiveness (1)
- Data (3)
- (-) Electronic Health Records (EHRs) (9)
- Emergency Department (2)
- Healthcare-Associated Infections (HAIs) (1)
- (-) Health Information Technology (HIT) (9)
- Hospitals (2)
- Injuries and Wounds (1)
- Patient-Centered Outcomes Research (2)
- Quality Improvement (2)
- Quality Measures (1)
- Quality of Care (1)
- Racial and Ethnic Minorities (1)
- (-) Registries (9)
- Research Methodologies (1)
- Surgery (1)
- Trauma (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 9 of 9 Research Studies DisplayedDurojaiye AB, McGeorge N, Kristen W
Characterizing the utilization of the problem list for pediatric trauma care.
The EHR problem list has the potential to support care coordination among the multidisciplinary care team that cares for pediatric trauma patients. To realize this potential, the need exists to ensure appropriate utilization by formulating acceptable usage and management policy. In this regard, understanding the prevailing utilization pattern is pivotal. To this end, in this study, the investigators analyzed EHR in tandem with trauma registry data at a Level I pediatric trauma center.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, McGeorge N, Kristen W .
Characterizing the utilization of the problem list for pediatric trauma care.
AMIA Annu Symp Proc 2018 Dec 5;2018:404-12..
Keywords: Care Coordination, Children/Adolescents, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Hospitals, Registries, Trauma
Deakyne Davies SJ, Grundmeier RW, Campos DA
The pediatric emergency care applied research network registry: a multicenter electronic health record registry of pediatric emergency care.
In this paper, the authors described the Pediatric Emergency Care Applied Research Network (PECARN) Registry, which demonstrates that emergency department (ED) data from disparate health systems and EHR vendors can be harmonized for use in a single registry with a common data model. The authors concluded that the Registry is a robust harmonized clinical registry that includes data from diverse patients, sites, and EHR vendors derived via data extraction, deidentification, and secure submission to a central data coordinating center. They suggested that the data provided be used for benchmarking, clinical quality improvement, and comparative effectiveness research.
AHRQ-funded; HS020270.
Citation: Deakyne Davies SJ, Grundmeier RW, Campos DA .
The pediatric emergency care applied research network registry: a multicenter electronic health record registry of pediatric emergency care.
Appl Clin Inform 2018 Apr;9(2):366-76. doi: 10.1055/s-0038-1651496..
Keywords: Children/Adolescents, Registries, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Tonner C, Schmajuk G, Yazdany J
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. Its authors assert that quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of electronic clinical quality measures (eCQMs) easier and measurement more clinically meaningful and accurate in coming years.
AHRQ-funded; HS024412.
Citation: Tonner C, Schmajuk G, Yazdany J .
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
Curr Opin Rheumatol 2017 Mar;29(2):131-37. doi: 10.1097/bor.0000000000000364.
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Keywords: Quality Measures, Registries, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement
Cato KD, Bockting W, Larson E
Did I tell you that? Ethical issues related to using computational methods to discover non-disclosed patient characteristics.
Using the Belmont Report's principles of respect for persons, beneficence, and justice as a framework, the authors examined the ethical issues posed by electronic phenotyping. Ethical issues identified include the ability of the patient to consent for the use of their information, the ability to suppress pediatric information, and ensuring that the potential benefits justify the risks of harm to patients.
AHRQ-funded; HS022961.
Citation: Cato KD, Bockting W, Larson E .
Did I tell you that? Ethical issues related to using computational methods to discover non-disclosed patient characteristics.
J Empir Res Hum Res Ethics 2016 Jul;11(3):214-9. doi: 10.1177/1556264616661611.
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Keywords: Clinician-Patient Communication, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research, Registries, Research Methodologies
Lee SJ, Grobe JE, Tiro JA
Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.
The objective of this study was to characterize the quality of race/ethnicity data collection efforts. The authors assessed race and ethnicity data quality across cancer registries and electronic medical records in two hospitals. Their findings suggested that high-quality race/ethnicity data are attainable. Many of the "errors" in race/ethnicity data were caused by missing or "Unknown" data values.
AHRQ-funded; HS022418.
Citation: Lee SJ, Grobe JE, Tiro JA .
Assessing race and ethnicity data quality across cancer registries and EMRs in two hospitals.
J Am Med Inform Assoc 2016 May;23(3):627-34. doi: 10.1093/jamia/ocv156..
Keywords: Cancer, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Racial and Ethnic Minorities, Registries
Marsolo K, Margolis PA, Forrest CB
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
The authors collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a “data in once” strategy. This required automating a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research.
AHRQ-funded; HS020024; HS022974.
Citation: Marsolo K, Margolis PA, Forrest CB .
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
eGEMS 2015 Aug 17;3(1):1168. doi: 10.13063/2327-9214.1168..
Keywords: Electronic Health Records (EHRs), Registries, Patient-Centered Outcomes Research, Comparative Effectiveness, Health Information Technology (HIT)
Roch AM, Mehrabi S, Krishnan A
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
The purpose of this study was to implement an automated Natural Language Processing (NLP)-based pancreatic cyst identification system. It found that NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR). This highly accurate system can help capture patients ‘at-risk’ of pancreatic cancer in a registry.
AHRQ-funded; HS019818.
Citation: Roch AM, Mehrabi S, Krishnan A .
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
HPB 2015 May;17(5):447-53. doi: 10.1111/hpb.12375..
Keywords: Cancer, Electronic Health Records (EHRs), Registries, Health Information Technology (HIT)
Boland MR, Miotto R, Weng C
A method for probing disease relatedness using common clinical eligibility criteria.
The researchers explored the feasibility of using disease-specific common eligibility features (CEFs) for representing diseases and understanding their relatedness. They constructed disease-specific CEF networks to assess the degree of overlap among three types of diseases. Using these automatically derived networks, they were able to highlight connections among schizophrenia, epilepsy and depression. This finding and similar observations confirm the value of using clinical trial eligibility criteria for identifying disease relatedness.
AHRQ-funded; HS019853.
Citation: Boland MR, Miotto R, Weng C .
A method for probing disease relatedness using common clinical eligibility criteria.
Stud Health Technol Inform 2013;192:481-5..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Registries