National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedRoch 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)
Kamal AH, Nipp RD, Bull JH
Quality of palliative care for patients with advanced cancer in a community consortium.
The authors formed the Carolinas Consortium for Palliative Care and collected a quality data registry to monitor their practice and to inform quality improvement efforts. They demonstrated that measures evaluating process assessment, as opposed to interventions, are better documented. They concluded that analyzing data on quality is feasible and valuable in community-based palliative care and that, overall, processes to collect data on quality using nontechnology methods may underestimate true adherence to quality measures.
AHRQ-funded; HS022763.
Citation: Kamal AH, Nipp RD, Bull JH .
Quality of palliative care for patients with advanced cancer in a community consortium.
J Pain Symptom Manage 2015 Feb;49(2):289-92. doi: 10.1016/j.jpainsymman.2014.05.024.
.
.
Keywords: Cancer, Healthcare Delivery, Quality of Care, Palliative Care, Registries