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
Topics
- (-) Arthritis (6)
- Decision Making (1)
- (-) Electronic Health Records (EHRs) (6)
- Evidence-Based Practice (1)
- Health Information Technology (HIT) (4)
- Medication (1)
- Orthopedics (1)
- Outcomes (3)
- Patient-Centered Outcomes Research (1)
- Patient Safety (1)
- Quality Improvement (2)
- Quality Measures (1)
- Quality of Care (2)
- Surgery (1)
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 6 of 6 Research Studies DisplayedHumbert-Droz M, Izadi Z, Schmajuk G
Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national rheumatology informatics system for effectiveness registry.
Researchers developed and evaluated a natural language processing pipeline for extracting outcome measures in rheumatology from free-text outpatient rheumatology notes within the ACR's Rheumatology Informatics System for Effectiveness (RISE) registry. All patients in RISE from 2015 to 2018 were included. The researchers found the pipeline to have good internal and external validity and they concluded that it could facilitate measurement of clinical and patient reported outcomes for use in both research and quality measurement.
AHRQ-funded; HS025638.
Citation: Humbert-Droz M, Izadi Z, Schmajuk G .
Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national rheumatology informatics system for effectiveness registry.
Arthritis Care Res 2023 Mar; 75(3):608-15. doi: 10.1002/acr.24869..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice
Giardina JC, Cha T, Atlas SJ
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
The purpose of this study was to develop and validate an algorithm to identify patients receiving four elective orthopedic surgeries to promote shared decision-making. The surgeries included were: 1) knee arthroplasty to treat knee osteoarthritis (KOA); 2) hip arthroplasty to treat hip osteoarthritis (HOA); 3) spinal surgery to treat lumbar spinal stenosis (SpS); and 4) spinal surgery to treat lumber herniated disc (HD). Electronic medical records were reviewed to ascertain a “gold standard” determination of the procedure and primary indication status. Each case had electronic algorithms consisting of ICD-10 and CPT codes for each combination and indication applied to their record. A total of 790 procedures were included in the study. The sensitivity of the algorithms ranged from 0.70 (HD) to 0.92 (KOA). Specificity ranged from 0.94 (SpS) to 0.99 (HOA, KOA).
AHRQ-funded; HS000055.
Citation: Giardina JC, Cha T, Atlas SJ .
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
BMC Med Inform Decis Mak 2020 Aug 12;20(1):187. doi: 10.1186/s12911-020-01175-1.
.
.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Orthopedics, Surgery, Arthritis, Decision Making
Gandrup J, Li J, Izadi Z
Three quality improvement initiatives and performance of rheumatoid arthritis disease activity measures in electronic health records: results from an interrupted time series study.
This study evaluated the effect of 3 HIT initiatives on the performance of rheumatoid arthritis (RA) disease activity measures and outcomes in an academic rheumatology clinic. The three initiatives implemented to facilitate performance of the Clinical Disease Activity Index (CDAI) were: 1) an EHR flowsheet to input scores, 2) peer performance reports, and 3) an EHR Smartform including a CDAI calculator. Data from 995 patients with 8,040 encounters between 2012 and 2017 was included. Electronic capture of CDAI scores increased from 0% to 64%. Peer performance reporting and the SmartForm kept performance stable. Physician satisfaction increased after SmartForm implementation.
AHRQ-funded; HS025638.
Citation: Gandrup J, Li J, Izadi Z .
Three quality improvement initiatives and performance of rheumatoid arthritis disease activity measures in electronic health records: results from an interrupted time series study.
Arthritis Care Res 2020 Feb;72(2):283-91. doi: 10.1002/acr.23848..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Norgeot B, Glicksberg BS, Trupin L
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis.
This study researched the use of artificial intelligence learning models to predict clinical outcomes in patients with rheumatoid arthritis (RA). Patients from a university hospital (UH) and a public safety-net hospital (SNH). The populations were quite different from each other. A total of 578 UH patients and 242 SNH patients were included in the study. Patients at the UH were seen more frequently than the SNH patients and were often prescribed high-class medications (63% vs. 28.9%). The model that was used showed a statistically random performance based on each patients’ most recent disease activity score.
AHRQ-funded; HS024412.
Citation: Norgeot B, Glicksberg BS, Trupin L .
Assessment of a deep learning model based on electronic health record data to forecast clinical outcomes in patients with rheumatoid arthritis.
JAMA Netw Open 2019 Mar;2(3):e190606. doi: 10.1001/jamanetworkopen.2019.0606..
Keywords: Arthritis, Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes
Schmajuk G, Yazdany J
Leveraging the electronic health record to improve quality and safety in rheumatology.
In the coming years, developing and leveraging tools within the electronic health record (EHR) will be the key to making the next big strides in improving the health of patients with rheumatoid arthritis and other rheumatic diseases, including building EHR infrastructure to capture patient outcomes and developing automated methods to retrieve information from free text of clinical notes.
AHRQ-funded; HS024412.
Citation: Schmajuk G, Yazdany J .
Leveraging the electronic health record to improve quality and safety in rheumatology.
Rheumatol Int 2017 Oct;37(10):1603-10. doi: 10.1007/s00296-017-3804-4.
.
.
Keywords: Electronic Health Records (EHRs), Quality of Care, Patient Safety, Quality Improvement, Arthritis
Yazdany J, Robbins M, Schmajuk G
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
The researchers sought to develop and test electronic clinical quality measures for rheumatoid arthritis. Disease activity assessment, functional status assessment, disease-modifying antirheumatic durg use, and tuberculosis screening measures have achieved national endorsement and are recommended for use in federal quality reporting programs.
AHRQ-funded; HS024412.
Citation: Yazdany J, Robbins M, Schmajuk G .
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
Arthritis Care Res 2016 Nov;68(11):1579-90. doi: 10.1002/acr.22984.
.
.
Keywords: Electronic Health Records (EHRs), Medication, Quality Measures, Arthritis, Outcomes