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AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Children/Adolescents (2)
- Clinical Decision Support (CDS) (2)
- Communication (1)
- Critical Care (1)
- Elderly (2)
- (-) Electronic Health Records (EHRs) (17)
- (-) Emergency Department (17)
- Emergency Medical Services (EMS) (3)
- Falls (1)
- Healthcare Utilization (1)
- Health Information Exchange (HIE) (2)
- Health Information Technology (HIT) (13)
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- Kidney Disease and Health (1)
- Medical Errors (1)
- Medication (2)
- Nursing (1)
- Patient-Centered Outcomes Research (1)
- Patient Safety (2)
- Provider: Health Personnel (1)
- Quality Improvement (1)
- Quality Measures (1)
- Quality of Care (3)
- Risk (2)
- Rural Health (1)
- Sepsis (1)
- Shared Decision Making (1)
- Simulation (1)
- Teams (1)
- Telehealth (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 17 of 17 Research Studies DisplayedPatterson BW, Jacobsohn GC, Maru AP
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
This study compared seven different strategies for identifying falls in older adult emergency department (ED) visits using electronic health record (EHR) data. This retrospective cohort study used randomly selected data from 500 ED visits by patients 65 and older at an academic medical center from December 2016 to April 2017. The seven strategies tested were: Chief complaint (CC), ICD codes, Restrictive ICD codes, Broad ICD codes, Combined approaches, Natural language processing (NLP), and Manual abstraction (gold standard). When compared with manual chart review, NLP was found to be the most accurate fall identification strategy, followed by a combination of a restrictive ICD code-based definition with CC.
AHRQ-funded; HS024558.
Citation: Patterson BW, Jacobsohn GC, Maru AP .
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
J Am Geriatr Soc 2020 Dec;68(12):2965-67. doi: 10.1111/jgs.16831..
Keywords: Elderly, Falls, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
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
Topaz M, Woo K, Ryvicker M
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
About 30% of home healthcare patients are hospitalized or visit an emergency department (ED) during a home healthcare (HHC) episode. Novel data science methods are increasingly used to improve identification of patients at risk for negative outcomes. The aim of the study was to identify patients at heightened risk hospitalization or ED visits using HHC narrative data (clinical notes).
AHRQ-funded; HS027742.
Citation: Topaz M, Woo K, Ryvicker M .
Home healthcare clinical notes predict patient hospitalization and emergency department visits.
Nurs Res 2020 Nov/Dec;69(6):448-54. doi: 10.1097/nnr.0000000000000470..
Keywords: Elderly, Home Healthcare, Emergency Department, Hospitalization, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Martinez DA, Levin SR, Klein EY
Early prediction of acute kidney injury in the emergency department with machine-learning methods applied to electronic health record data.
Researchers analyzed routinely collected emergency department (ED) data and developed prediction models with capacity for early identification of ED patients at high risk for acute kidney injury. They found that machine learning applied to routinely-collected ED data identified ED patients at high risk for acute kidney injury up to 72 hours before they met diagnostic criteria. They recommended further prospective evaluation.
AHRQ-funded; HS027793.
Citation: Martinez DA, Levin SR, Klein EY .
Early prediction of acute kidney injury in the emergency department with machine-learning methods applied to electronic health record data.
Ann Emerg Med 2020 Oct;76(4):501-14. doi: 10.1016/j.annemergmed.2020.05.026..
Keywords: Kidney Disease and Health, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Scott HF, Colborn KL, Sevick CJ
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
The purpose of this observational cohort study was to derive and validate a model of risk of septic shock among children with suspected sepsis, using data known in the electronic health record at hospital arrival. The investigators concluded that their model estimated the risk of septic shock in children at hospital arrival earlier than existing models. They indicate it leveraged the predictive value of routine electronic health record data through a modern predictive algorithm and suggest it has the potential to enhance clinical risk stratification in the critical moments before deterioration.
AHRQ-funded; HS025696.
Citation: Scott HF, Colborn KL, Sevick CJ .
Development and validation of a predictive model of the risk of pediatric septic shock using data known at the time of hospital arrival.
J Pediatr 2020 Feb;217:145-51.e6. doi: 10.1016/j.jpeds.2019.09.079..
Keywords: Children/Adolescents, Sepsis, Emergency Department, Hospitals, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Horng S, Joseph JW, Calder S
Assessment of unintentional duplicate orders by emergency department clinicians before and after implementation of a visual aid in the electronic health record ordering system.
The purpose of this cohort study was to determine whether a simple visual aid was associated with a reduction in duplicate ordering of tests and medications. An interrupted time series model was used to analyze a series of consecutive patients who visited the emergency department of a large volume academic hospital. The researchers conclude that passive visual cues that provided just-in-time decision support were associated with reductions in unintentional duplicate orders for laboratory and radiology tests but not in unintentional duplicate medication orders.
AHRQ-funded; HS024288.
Citation: Horng S, Joseph JW, Calder S .
Assessment of unintentional duplicate orders by emergency department clinicians before and after implementation of a visual aid in the electronic health record ordering system.
JAMA Netw Open 2019 Dec 2;2(12):e1916499. doi: 10.1001/jamanetworkopen.2019.16499..
Keywords: Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Patient-Centered Outcomes Research, Medication
Cochran AL, Rathouz PJ, Kocher KE
A latent variable approach to potential outcomes for emergency department admission decisions.
The authors sought to provide a general framework to evaluate admission decisions from electronic healthcare records. They estimated that while admitting a patient with higher latent needs reduced the 30-day risk of revisiting the emergency department or later being admitted through the emergency department by over 79%, admitting a patient with lower latent needs actually increased these 30-day risks by 3.0% and 7.6%, respectively.
AHRQ-funded; HS024160.
Citation: Cochran AL, Rathouz PJ, Kocher KE .
A latent variable approach to potential outcomes for emergency department admission decisions.
Stat Med 2019 Sep 10;38(20):3911-35. doi: 10.1002/sim.8210..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department, Clinical Decision Support (CDS), Shared Decision Making, Hospitalization
Wang X, Kim TC, Hegde S
Design and evaluation of an integrated, patient-focused electronic health record display for emergency medicine.
This study used work-centered usability methods to evaluate an integrated patient-focused status display designed to support ED clinicians' communication and situation awareness regarding a patient's health status and progress through their ED plan of care. The display design was informed by previous studies we conducted examining the information and cognitive support requirements of ED providers and nurses. The investigators concluded that participants' subjective ratings of usability, usefulness, and support for cognitive objectives were encouraging.
AHRQ-funded; HS022542.
Citation: Wang X, Kim TC, Hegde S .
Design and evaluation of an integrated, patient-focused electronic health record display for emergency medicine.
Appl Clin Inform 2019 Aug;10(4):693-706. doi: 10.1055/s-0039-1695800..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department
Patterson BW, Pulia MS, Ravi S
Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review.
This systematic review examined the scope and influence of electronic health record-integrated clinical decision support (CDS) technologies implemented in hospital emergency departments. A literature search was conducted using 4 databases from the inception of these CDS systems through January 2018. Out of 2,558 potential studies identified, 42 met inclusion criteria. Common uses for CDS technologies included medication and radiology ordering practices, and more comprehensive systems supporting diagnosis and treatment for specific diseases. The majority of studies (83%) reported positive effects on outcomes, with most studies using a pre-post experimental design (76%). The authors concluded that although most studies show positive effects of CDS technologies, many of the studies were small and poorly controlled.
AHRQ-funded; HS024342; HS024558; HS022086.
Citation: Patterson BW, Pulia MS, Ravi S .
Scope and influence of electronic health record-integrated clinical decision support in the emergency department: a systematic review.
Ann Emerg Med 2019 Aug;74(2):285-96. doi: 10.1016/j.annemergmed.2018.10.034..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department
Kimmel HJ, Brice YN, Trikalinos TA
Real-time emergency department electronic notifications regarding high-risk patients: a systematic review.
In this study, the authors systematically reviewed evidence on the feasibility and efficacy of real-time electronic notifications about patients at high risk of emergency department (ED) recidivism. They concluded that real-time electronic notifications of ED providers regarding patients at high risk of ED recidivism are feasible and may help reduce resource utilization and costs. The authors indicate that large knowledge gaps remain regarding patient- and provider-centered outcomes.
AHRQ-funded; HS022998.
Citation: Kimmel HJ, Brice YN, Trikalinos TA .
Real-time emergency department electronic notifications regarding high-risk patients: a systematic review.
Telemed J E Health 2019 Jul;25(7):604-18. doi: 10.1089/tmj.2018.0117..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospital Readmissions
Durojaiye AB, Levin S, Toerper M
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.
This study electronic health record (EHR) data to compare usage patterns from pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The data was used to compare demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS). Three distinct groups were compared: fully connected, partially connected, and disconnected. The fully connected group had a decreased ED LOS compared with the partially connected group.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, Levin S, Toerper M .
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.
J Am Med Inform Assoc 2019 Jun;26(6):506-15. doi: 10.1093/jamia/ocy184..
Keywords: Children/Adolescents, Trauma, Electronic Health Records (EHRs), Health Information Technology (HIT), Emergency Department, Healthcare Utilization
Bond WF, Barker LT, Cooley KL
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
This article describes the integration of remote telehealth electronic intensive care unit (eICU) personnel into in situ simulations with rural emergency department (ED) care teams and the technical challenges of creating shared awareness of the patient's condition and the care team's progress among the care team, the eICU, and those running the simulation. The purpose of the simulations was to introduce telehealth technology and new processes of engaging the eICU via telehealth during sepsis care in rural EDs; development of the scenarios included experts in sepsis, telehealth, and emergency medicine. A shared in situ simulation clinical actions observational checklist was created using an off-the-shelf survey software program. The checklist was completed during the simulations by an onsite observer, and shared with the eICU team via teleconferencing software to and cue eICU nurse engagement. Staff from the two EDs were engaged and an eICU nurse participated in debriefing via the telehealth video system.
AHRQ-funded; HS024027.
Citation: Bond WF, Barker LT, Cooley KL .
A simple low-cost method to integrate telehealth interprofessional team members during in situ simulation.
Simul Healthc 2019 Apr;14(2):129-36. doi: 10.1097/sih.0000000000000357..
Keywords: Critical Care, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Rural Health, Simulation, Teams, Telehealth
Benda N, Hettinger A, Bisantz A
Communication in the electronic age: an analysis of face-to-fact physician-nurse communication in the emergency department.
This study described the patterns and content of nurse to physician verbal conversations in three emergency departments (EDs) with electronic health records. It found that physician participants experienced significantly more communication events than nurse participants, while nurses initiated significantly more communication events than physicians. Most of the communication events occurred at the physician workstation followed by patient treatment areas.
AHRQ-funded; HS022542.
Citation: Benda N, Hettinger A, Bisantz A .
Communication in the electronic age: an analysis of face-to-fact physician-nurse communication in the emergency department.
Journal of Healthcare Informatics Research 2017 Dec;1(2):218-30.
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Keywords: Communication, Electronic Health Records (EHRs), Provider: Health Personnel, Emergency Department, Nursing
Everson J, Kocher KE, Adler-Milstein J
Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations.
This study assessed whether electronic health information exchange (HIE) is associated with improved emergency department (ED) care processes and utilization through more timely clinician viewing of information from outside organizations. It concluded that the relationship between HIE and improved care processes and reduced utilization in the ED is mediated by faster accessing of information from outside organizations.
AHRQ-funded; HS024160.
Citation: Everson J, Kocher KE, Adler-Milstein J .
Health information exchange associated with improved emergency department care through faster accessing of patient information from outside organizations.
J Am Med Inform Assoc 2017 Apr 1;24(e1):e103-e10. doi: 10.1093/jamia/ocw116.
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Keywords: Electronic Health Records (EHRs), Emergency Department, Emergency Medical Services (EMS), Quality of Care, Health Information Exchange (HIE)
Goss FR, Plasek JM, Lau JJ
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
This paper presents early experience and preliminary findings in developing an allergy module for a general natural language processing (NLP) system, named Medical Text Extraction, Reasoning, and Mapping System (MTERMS), to extract and encode allergy information from clinical text. The preliminary results demonstrate the feasibility using NLP to extract and encode allergy information from clinical notes.
AHRQ-funded; HS022728.
Citation: Goss FR, Plasek JM, Lau JJ .
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
AMIA Annu Symp Proc 2014 Nov 14;2014:580-8..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Emergency Medical Services (EMS), Emergency Department
Garg N, Kuperman G, Onyile A
Validating health information exchange (HIE) data for quality measurement across four hospitals.
The study objective was to validate the secondary use of HIE data for two emergency department (ED) quality measures: identification of frequent ED users and early (72-hour) ED returns in four hospitals. It found that there was no significant difference in the total counts for frequent ED users or early ED returns for any of the four hospitals.
AHRQ-funded; HS021261.
Citation: Garg N, Kuperman G, Onyile A .
Validating health information exchange (HIE) data for quality measurement across four hospitals.
AMIA Annu Symp Proc 2014 Nov 14;2014:573-9..
Keywords: Electronic Health Records (EHRs), Emergency Department, Quality of Care, Health Information Exchange (HIE), Quality Measures
Peterson SM, Gurses AP, Regan L
Resident to resident handoffs in the emergency department: an observational study.
This study aimed to identify hazards to patient safety and barriers to efficiency related to resident handoffs in the ED. It found that residents were interrupted, on average, every 8.5 min. The most common deficit in relaying the plan of care strategy was failing to relay medications administered (32 percent). In addition, there were ambiguities related to medication administration.
AHRQ-funded; HS018762.
Citation: Peterson SM, Gurses AP, Regan L .
Resident to resident handoffs in the emergency department: an observational study.
J Emerg Med 2014 Nov;47(5):573-9. doi: 10.1016/j.jemermed.2014.06.027..
Keywords: Emergency Department, Emergency Medical Services (EMS), Patient Safety, Electronic Health Records (EHRs), Medication