National Healthcare Quality and Disparities Report
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- Adverse Events (5)
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- Trauma (1)
- Urban Health (1)
- Urinary Tract Infection (UTI) (1)
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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 25 of 44 Research Studies DisplayedBradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Lieu TA, Warton EM, Levan C
Association of medical assistant-supported virtual rooming with successful video visit connections.
The purpose of this study was to systematically evaluate medical assistant-supported virtual rooming for physician video visits to address the digital divide which exists in physician video visit availability and accessibility for patients who have lower socioeconomic status (SES), low English proficiency, or are African American or Black or Latino. The study found that of the 114,214 video visits with successful connections, 14.2% had low neighborhood SES, 3.6% needed interpreters, 20.1% were Latino, and 7.9% were African American or Black. African American or Black race, Latino ethnicity, needing an interpreter, and living in a low SES neighborhood were associated with a lower likelihood of connecting. The researchers concluded that medical assistant–supported virtual rooming was associated with successful video visit connections in this diverse population. High medical assistant supported rooming rates were associated with larger connection improvements for patients at higher risk of not connecting, including those with lower SES, of Latino ethnicity or African American or Black race, or needing interpreters.
AHRQ-funded; HS025189.
Citation: Lieu TA, Warton EM, Levan C .
Association of medical assistant-supported virtual rooming with successful video visit connections.
JAMA Intern Med 2022 Jun;182(6):680-82. doi: 10.1001/jamainternmed.2022.1032..
Keywords: Quality Improvement, Quality of Care, Telehealth, Health Information Technology (HIT), Clinician-Patient Communication, Communication, Healthcare Delivery
Shi J, Hurdle JF, Johnson SA
Natural language processing for the surveillance of postoperative venous thromboembolism.
The objective of the study was to develop a portal natural language processing approach to aid in the identification of postoperative venous thromboembolism events from free-text clinical notes. The investigators concluded that accurate surveillance of postoperative venous thromboembolism may be achieved using natural language processing on clinical notes in 2 independent health care systems. They indicated that these findings suggest natural language processing may augment manual chart abstraction for large registries such as National Surgical Quality Improvement Program.
AHRQ-funded; HS025776.
Citation: Shi J, Hurdle JF, Johnson SA .
Natural language processing for the surveillance of postoperative venous thromboembolism.
Surgery 2021 Oct;170(4):1175-82. doi: 10.1016/j.surg.2021.04.027..
Keywords: Blood Clots, Health Information Technology (HIT), Quality Improvement, Quality of Care, Surgery, Adverse Events
Cifra CL, Sittig DF, Singh H
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
This paper discusses challenges to the development of systems for effective patient outcome feedback to improve diagnosis and proposes the application of a sociotechnical approach using health information technology (HIT) to support the implementation of such systems. It discusses current barriers to effective clinician feedback, reasons for them, and features of potential IT solutions. Evaluation and implementation of the feedback process within a sociotechnical health system are then discussed. The authors use an eight-dimension sociotechnical model for studying health IT by authors Sittig and Singh. The eight dimensions are hardware and software; clinical content; human–computer interface; people; workflow and communication; organisational policies and procedures; external rules, regulations and pressures; and system measurement and monitoring. A table is included that shows the potential considerations for each dimension.
AHRQ-funded; 33201500022I; HS027363.
Citation: Cifra CL, Sittig DF, Singh H .
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
BMJ Qual Saf 2021 Jul;30(7):591-97. doi: 10.1136/bmjqs-2020-012464..
Keywords: Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care
Zhu Y, Simon GJ, Wick EC
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
Surgical complications have tremendous consequences and costs. Complication detection is important for quality improvement, but traditional manual chart review is burdensome. Automated mechanisms are needed to make this more efficient. The purpose of the study was to understand the generalizability of a machine learning algorithm between sites; automated surgical site infection (SSI) detection algorithms developed at one center were tested at another distinct center.
AHRQ-funded; HS024532.
Citation: Zhu Y, Simon GJ, Wick EC .
Applying machine learning across sites: external validation of a surgical site infection detection algorithm.
J Am Coll Surg 2021 Jun;232(6):963-71.e1. doi: 10.1016/j.jamcollsurg.2021.03.026..
Keywords: Healthcare-Associated Infections (HAIs), Surgery, Adverse Events, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Griffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: validation and testing to optimize yield.
Researchers validated the emergency department trigger tool (EDTT) in an independent sample and compared record selection approaches to optimize yield for quality improvement. In this single-site study of the EDTT, they observed high levels of validity in trigger selection, yield, and representativeness of adverse events, with yields that are superior to estimates for traditional approaches to adverse event detection. Record selection using weighted triggers outperformed a trigger count threshold approach and far outperformed random sampling from records with at least one trigger. They concluded that the EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the emergency department.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: validation and testing to optimize yield.
Acad Emerg Med 2020 Dec;27(12):1279-90. doi: 10.1111/acem.14101..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events, Patient Safety, Quality Improvement, Quality of Care
Luo B, McLoone M, Rasooly IR
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
A team of researchers including biomedical engineers, human factors engineers, information technology specialists, nurses, physicians, facilitators from a hospital’s simulation center, clinical informaticians, and hospital administrative leadership worked with three units at a pediatric hospital to design and conduct simulations on newly implemented monitoring technology that will be used for patient critical alarms. The system was tested using a simulation with existing hospital technology to transmit an unambiguously critical alarm that appeared to originate from an actual patient to the nurse’s mobile device, with discreet observers measuring responses.
AHRQ-funded; HS026620.
Citation: Luo B, McLoone M, Rasooly IR .
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
Biomed Instrum Technol 2020 Nov/Dec;54(6):389-96. doi: 10.2345/0899-8205-54.6.389..
Keywords: Children/Adolescents, Hospitals, Simulation, Quality Improvement, Quality of Care, Patient Safety, Health Information Technology (HIT)
Scott HF, Brilli RJ, Paul R
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
The purpose of this study was to describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and to evaluate the definition using a published framework. The investigators concluded that the Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.
AHRQ-funded; HS025696.
Citation: Scott HF, Brilli RJ, Paul R .
Evaluating pediatric sepsis definitions designed for electronic health record extraction and multicenter quality improvement.
Crit Care Med 2020 Oct;48(10):e916-e26. doi: 10.1097/ccm.0000000000004505..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Sepsis, Quality Improvement, Quality of Care
Bucher BT, Shi J, Ferraro JP
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
The authors presented the development and validation of a portable natural language processing (NLP) approach for automated surveillance of surgical site infections (SSIs). Patient clinical text notes from EHRs following surgical procedures from two independent healthcare systems were abstracted. The authors found that automated surveillance of SSIs can be achieved using NLP of clinical notes with high sensitivity and specificity.
AHRQ-funded; HS025776.
Citation: Bucher BT, Shi J, Ferraro JP .
Portable automated surveillance of surgical site infections using natural language processing: development and validation.
Ann Surg 2020 Oct;272(4):629-36. doi: 10.1097/sla.0000000000004133..
Keywords: Surgery, Healthcare-Associated Infections (HAIs), Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Alexander GL, Madsen R, Deroche CB
Ternary trends in nursing home information technology and quality measures in the United States.
This survey investigated whether improvements in nursing home information technology (NH IT) increases quality measures. Nursing home administrators were surveyed from 2014 to 2017. Nine dimensions/domains and total IT sophistication were measured. A total of 815 Year 1 surveys were completed. It was found that for every 10 units increase in administrative activity of IT use, a decrease of 1.3% occurred in the percentage of low-risk long-stay residents with bowel or bladder incontinence.
AHRQ-funded; HS022497.
Citation: Alexander GL, Madsen R, Deroche CB .
Ternary trends in nursing home information technology and quality measures in the United States.
J Appl Gerontol 2020 Oct;39(10):1134-43. doi: 10.1177/0733464819862928..
Keywords: Nursing Homes, Health Information Technology (HIT), Quality Measures, Quality Improvement, Long-Term Care, Quality of Care
Bronsert M, Singh AB, Henderson WG
Identification of postoperative complications using electronic health record data and machine learning.
Investigators developed a machine learning algorithm for identifying patients with one or more complications using data from the electronic health record (EHR). They concluded that using machine learning on EHR postoperative data linked to American College of Surgeons National Surgical Quality Improvement Program outcomes data, a model with 163 predictors from the EHR identified complications well at their institution.
AHRQ-funded; HS026019.
Citation: Bronsert M, Singh AB, Henderson WG .
Identification of postoperative complications using electronic health record data and machine learning.
Am J Surg 2020 Jul;220(1):114-19. doi: 10.1016/j.amjsurg.2019.10.009..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Surgery, Quality Improvement, Quality of Care, Diagnostic Safety and Quality
Rudin RS, Friedberg MW, Shekelle P
Getting value from electronic health records: research needed to improve practice.
Electronic health records (EHRs) are now widely adopted in the United States, but health systems have barely begun using them to deliver high-value care. This article describes 4 potential benefits of EHR-based research: improving clinical decisions, supporting triage decisions, enabling collaboration among the care team (including patients), and increasing productivity via automation of tasks.
AHRQ-funded; HS024067.
Citation: Rudin RS, Friedberg MW, Shekelle P .
Getting value from electronic health records: research needed to improve practice.
Ann Intern Med 2020 Jun 2;172(11 Suppl):S130-s36. doi: 10.7326/m19-0878..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care, Healthcare Delivery
Tignanelli CJ, Silverman GM, Lindemann EA
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
Incomplete prehospital trauma care is a significant contributor to preventable deaths. Current databases lack timelines easily constructible of clinical events. Temporal associations and procedural indications are critical to characterize treatment appropriateness. Natural language processing (NLP) methods present a novel approach to bridge this gap. In this study, the investigators sought to evaluate the efficacy of a novel and automated NLP pipeline to determine treatment appropriateness from a sample of prehospital EMS motor vehicle crash records.
AHRQ-funded; HS026379.
Citation: Tignanelli CJ, Silverman GM, Lindemann EA .
Natural language processing of prehospital emergency medical services trauma records allows for automated characterization of treatment appropriateness.
J Trauma Acute Care Surg 2020 May;88(5):607-14. doi: 10.1097/ta.0000000000002598.
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Keywords: Trauma, Injuries and Wounds, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
Businger AC, Fuller TE, Schnipper JL
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
This paper describes the challenges, recommendations and lessons learned while developing and implementing a Patient Safety Learning Laboratory (PSLL) project, which is comprised of a suite of HIT tools integrated with a newly implemented Electronic Health Record (EHR) vendor system in the acute care setting of a large academic medical center. The PSLL Administrative Core engaged stakeholders and study personnel throughout all phases of the project. Challenges to implementation included stakeholder engagement, project scope and complexity, technology and governance, and team structure. Some changes were implemented during the trial and others were labeled as lessons learned for future iterative interventions. A willingness to think outside of current workflows and processes to change health system culture around adverse event prevention was one of the keys to success.
AHRQ-funded; HS023535.
Citation: Businger AC, Fuller TE, Schnipper JL .
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
J Am Med Inform Assoc 2020 Feb;27(2):301-07. doi: 10.1093/jamia/ocz193.
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Keywords: Patient Safety, Implementation, Health Information Technology (HIT), Quality Improvement, Quality of Care, Patient-Centered Healthcare, Electronic Health Records (EHRs), Evidence-Based Practice
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
Liss DT, Peprah YA, Brown T
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
This study described primary care practices' ability to obtain measures with reporting periods aligning with a large quality improvement initiative. Facilitators reported barriers to data collection such as practices lacking optional EHR features, and EHRs' inability to produce reporting periods across two calendar years. The authors conclude that EHR vendors' compliance with federal reporting requirements is not necessarily sufficient to support real-world quality improvement work. They recommended improvements in the flexibility and usability of EHRs' quality measurement functions, particularly for smaller practices.
AHRQ-funded; HS023921.
Citation: Liss DT, Peprah YA, Brown T .
Using electronic health records to measure quality improvement efforts: findings from a large practice facilitation initiative.
Jt Comm J Qual Patient Saf 2020 Jan;46(1):11-17. doi: 10.1016/j.jcjq.2019.09.006..
Keywords: Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Quality of Care
King CR, Abraham J, Kannampallil TG
Protocol for the effectiveness of an anesthesiology control tower system in improving perioperative quality metrics and clinical outcomes: the TECTONICS randomized, pragmatic trial.
The primary objective of this trial was to determine whether an anesthesiology control tower (ACT) prevents clinically relevant adverse postoperative outcomes including 30-day mortality, delirium, respiratory failure, and acute kidney injury. Clinicians in operating rooms randomized to ACT support receive decision support from clinicians in the ACT. In operating rooms randomized to no intervention, the current standard of anesthesia care is delivered. The intention-to-treat principle will be followed for all analyses.
AHRQ-funded; HS024581.
Citation: King CR, Abraham J, Kannampallil TG .
Protocol for the effectiveness of an anesthesiology control tower system in improving perioperative quality metrics and clinical outcomes: the TECTONICS randomized, pragmatic trial.
F1000Res 2019 Nov 29;8:2032. doi: 10.12688/f1000research.21016.1.
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Keywords: Quality Measures, Quality Improvement, Quality of Care, Surgery, Telehealth, Health Information Technology (HIT)
Kang SK, Garry K, Chung R
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
The authors developed natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations using the electronic health records for patients who underwent chest CT before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. They concluded that NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.
AHRQ-funded; HS024376.
Citation: Kang SK, Garry K, Chung R .
Natural language processing for identification of incidental pulmonary nodules in radiology reports.
J Am Coll Radiol 2019 Nov;16(11):1587-94. doi: 10.1016/j.jacr.2019.04.026..
Keywords: Imaging, Diagnostic Safety and Quality, Health Information Technology (HIT), Electronic Health Records (EHRs), Quality Improvement, Quality of Care
Smith AB, Mueller D, Garren B
Using qualitative research to reduce readmissions and optimize perioperative cystectomy care.
This study examined the need for qualitative research on meaningful patient-reported outcomes (PROs) to prevent complications and readmissions after cystectomy. The investigators looked at the potential use of mobile communication devices (mHealth) to capture patients’ experiences and to improve outcomes. Interviews were conducted with 15 readmitted patients and 10 of their partners over 45 semi-structured in-depth interviews. The most common perspectives were that patients and their caregivers were overloaded with cystectomy education; they need to know what are normal post-operative symptoms; and that using mHealth would help with patient and caregiver education.
AHRQ-funded; HS024134.
Citation: Smith AB, Mueller D, Garren B .
Using qualitative research to reduce readmissions and optimize perioperative cystectomy care.
Cancer 2019 Oct 15;125(20):3545-53. doi: 10.1002/cncr.32362..
Keywords: Hospital Readmissions, Surgery, Health Information Technology (HIT), Quality Improvement, Quality of Care, Hospitals, Patient-Centered Healthcare
Knierim KE, Hall TL, Dickinson LM
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
The objective of this study was to determine how quickly primary care practices can report electronic clinical quality measures (eCQMs) and to identify the practice characteristics associated with faster reporting. Examining the EvidenceNOW Southwest initiative, the researchers’ results showed that the time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Additional support for practices to succeed in new programs that require eCQM reporting was recommended.
AHRQ-funded; HS023904.
Citation: Knierim KE, Hall TL, Dickinson LM .
Primary care practices' ability to report electronic clinical quality measures in the EvidenceNOW Southwest Initiative to Improve Heart Health.
JAMA Netw Open 2019 Aug 2;2(8):e198569. doi: 10.1001/jamanetworkopen.2019.8569..
Keywords: Primary Care, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care, Heart Disease and Health, Cardiovascular Conditions, Patient-Centered Outcomes Research, Evidence-Based Practice, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dalal AK, Fuller T, Garabedian P
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
This study examined systems engineering and human factors support of a system of novel electronic health record (EHR)-integrated tools for patient safety in the hospital. The authors established a Patient Safety Learning Laboratory of 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with their EHR to identify, assess, and mitigate threats to patient safety. They identified 7 themes regarding use of 12 systems engineering and human factors over the 4-year project.
AHRQ-funded; HS023535.
Citation: Dalal AK, Fuller T, Garabedian P .
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
J Am Med Inform Assoc 2019 Jun;26(6):553-60. doi: 10.1093/jamia/ocz002..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Hospitals, Quality Improvement, Quality of Care
Tieu L, Hobbs A, Sarkar U
Adapting patient experience data collection processes for lower literacy patient populations using tablets at the point of care.
This study compared the acceptability of low-literacy tablet-based and traditional paper-based patient experience surveys in English and Spanish. The Consumer Assessment of Healthcare Providers & Systems Clinician & Group Survey (CG-CAHPS) was adapted for a pilot survey using low-literacy questions in Spanish and English. The majority of interview participants preferred the tablet version over the traditional paper-based survey. This was especially true for the younger and Latino respondents.
AHRQ-funded; HS022408.
Citation: Tieu L, Hobbs A, Sarkar U .
Adapting patient experience data collection processes for lower literacy patient populations using tablets at the point of care.
Med Care 2019 Jun;57 Suppl 6 Suppl 2:S140-s48. doi: 10.1097/mlr.0000000000001030..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Health Literacy, Patient Experience, Primary Care, Quality of Care, Quality Improvement, Racial and Ethnic Minorities, Urban Health
Fowler FJ, Cosenza C, Cripps LA
The effect of administration mode on CAHPS survey response rates and results: a comparison of mail and web-based approaches.
The researchers compared response rates, respondents' characteristics, and substantive results for CAHPS surveys administered using web and mail protocols. They found that response rates to surveys administered using the Internet protocols were lower than for the surveys administered by mail, but characteristics of respondents and survey answers were very similar across protocols. Respondents without email addresses tended to be older, less educated, and more likely to be male than those with email addresses, and there were a few differences in their responses.
AHRQ-funded; HS016978.
Citation: Fowler FJ, Cosenza C, Cripps LA .
The effect of administration mode on CAHPS survey response rates and results: a comparison of mail and web-based approaches.
Health Serv Res 2019 Jun;54(3):714-21. doi: 10.1111/1475-6773.13109..
Keywords: Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Patient Experience, Primary Care, Quality of Care, Quality Improvement
Toomey SL, Elliott MN, Zaslavsky AM
Improving response rates and representation of hard-to-reach groups in family experience surveys.
This study examined the use of an audio-enabled tablet to survey parents of children discharged from 4 units of a children’s hospital. Normal mail survey response rates are very low, especially for black, Latino, and low-income respondents. This survey was done day of discharge at the hospital and there was a response rate of 71.1% via tablet versus 16.3% for mail only. The Child Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was used. Tablet response rates were highest with fathers, those more likely to have a high school education or less, less likely to be white, and more likely to be publicly insured. The results are promising for future surveys using tablet administration.
AHRQ-funded; HS020513; HS025299.
Citation: Toomey SL, Elliott MN, Zaslavsky AM .
Improving response rates and representation of hard-to-reach groups in family experience surveys.
Acad Pediatr 2019 May - Jun;19(4):446-53. doi: 10.1016/j.acap.2018.07.007..
Keywords: Caregiving, Children/Adolescents, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Health Information Technology (HIT), Hospitals, Low-Income, Patient Experience, Quality of Care, Quality Improvement, Racial and Ethnic Minorities
Colborn KL, Bronsert M, Hammermeister K
Identification of urinary tract infections using electronic health record data.
Using the American College of Surgeons National Surgical Quality Improvement Program UTI status of patients who underwent an operation at the University of Colorado Hospital, the investigators sought to develop an algorithm for identifying UTIs using data from the electronic health record. The investigators concluded that a model with 14 predictors from the electronic health record identifies UTIs well, and it could be used to scale up UTI surveillance or to estimate the impact of large-scale interventions on UTI rates.
AHRQ-funded; HS026019.
Citation: Colborn KL, Bronsert M, Hammermeister K .
Identification of urinary tract infections using electronic health record data.
Am J Infect Control 2019 Apr;47(4):371-75. doi: 10.1016/j.ajic.2018.10.009..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Quality of Care, Quality Improvement, Surgery, Urinary Tract Infection (UTI)