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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
26 to 50 of 296 Research Studies DisplayedSockolow PS, Bowles KH, Wojciechowicz C
Incorporating home healthcare nurses' admission information needs to inform data standards.
Patient transitions into home health care (HHC) often occur without the transfer of information needed for critical clinical decisions and the plan of care. Owing to a lack of universally implemented standards, there is wide variation in information transfer. In this study, the investigators sought to characterize missing information at HHC admission. They conducted a mixed methods study with 3 diverse HHC agencies.
AHRQ-funded; HS024537.
Citation: Sockolow PS, Bowles KH, Wojciechowicz C .
Incorporating home healthcare nurses' admission information needs to inform data standards.
J Am Med Inform Assoc 2020 Aug;27(8):1278-86. doi: 10.1093/jamia/ocaa087..
Keywords: Home Healthcare, Transitions of Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Curran RL, Kukhareva PV, Taft T
Integrated displays to improve chronic disease management in ambulatory care: a SMART on FHIR application informed by mixed-methods user testing.
This study’s objective was to evaluate a novel electronic health record (EHR) add-on application for chronic disease management that uses an integrated display to decrease user cognitive load, improve efficiency, and support clinical decision making. The authors designed an application using the technology framework known as SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources). They used mixed methods to obtain user feedback on a prototype to support ambulatory providers managing chronic obstructive pulmonary disease. Two patient scenarios were presented to the participants using the regular EHR with and without access to their prototype. Results measured was the percentage of expert-recommended ideal care tasks completed. Timing, keyboard and mouse use, and participant surveys were also collected. The 13 participants complete more recommended care using the prototype (81% vs 48%) and recommended tasks per minute over long sessions. Keystrokes per task were also lower with the prototype (6 vs 18). While there was a learning curve for this application, it will increase efficiency and patient care with practice.
AHRQ-funded; HS026198.
Citation: Curran RL, Kukhareva PV, Taft T .
Integrated displays to improve chronic disease management in ambulatory care: a SMART on FHIR application informed by mixed-methods user testing.
J Am Med Inform Assoc 2020 Aug;27(8):1225-34. doi: 10.1093/jamia/ocaa099..
Keywords: Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Care Management, Ambulatory Care and Surgery, Clinical Decision Support (CDS), Shared Decision Making
Misra-Hebert AD, Milinovich A, Zajichek A
Natural language processing improves detection of nonsevere hypoglycemia in medical records versus coding alone in patients with type 2 diabetes but does not improve prediction of severe hypoglycemia events: an analysis using the electronic medical record
The purpose of this study was to determine if natural language processing (NLP) improves detection of non-severe hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of future severe hypoglycemia (SH). The authors identified NSH events by diagnosis codes and NLP 2005 to 2017 and built an SH prediction model. Their findings showed that detection of NSH improved with NLP in patients with type 2 diabetes without improving SH prediction.
AHRQ-funded; HS024128.
Citation: Misra-Hebert AD, Milinovich A, Zajichek A .
Natural language processing improves detection of nonsevere hypoglycemia in medical records versus coding alone in patients with type 2 diabetes but does not improve prediction of severe hypoglycemia events: an analysis using the electronic medical record
Diabetes Care 2020 Aug;43(8):1937-40. doi: 10.2337/dc19-1791..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality
Everson J, Rubin JC, Friedman CP
Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.
This study reexamined the results of a prominent 2009 national report that reported 9% of US hospitals had adopted a “basic” electronic health record (EHR) system. That calculation relied on specific treatment of the data. The authors reanalyzed the 2008 American Heart Association Information Technology supplement and complementary sources to get a range of estimates of EHR adoption. By 2008 73% of hospitals had begun the transition to EHR, with the majority having adopted at least 6 of the 10 functionalities of a basic system. Aggregate data showed that 58% of hospitals had completed the transition, and when accounting for measurement error they estimated that 30% of hospitals may have adopted a basic EHR. This is significantly higher than the 9% figure popularly used and might have led to different policies then.
AHRQ-funded; HS026395.
Citation: Everson J, Rubin JC, Friedman CP .
Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.
J Am Med Inform Assoc 2020 Aug;27(8):1198-205. doi: 10.1093/jamia/ocaa090..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Marchak JG, Cherven B, Williamson Lewis R
User-centered design and enhancement of an electronic personal health record to support survivors of pediatric cancers.
This article’s objective is to demonstrate how user-centered design theory and methods can be employed to develop and iteratively improve technologies to support childhood cancer survivors. A series of focus groups and structured interviews were conducted with young adult survivors of childhood cancer (n = 3), parents (n =11), and healthcare providers (n = 14) to understand their needs as potential users and the contexts in which they use an electronic personal health record (PHR) tool for survivors called Cancer SurvivorLink™. Usability evaluations were conducted to assess the functionality of the PHR. Three major themes were identified: “Learn” – education about the lifelong healthcare needs of pediatric cancer survivors; “Store” – secure electronic storage for healthcare documents to direct long-term care follow-up; and “Share” – communication functionality to allow sharing of health documents with healthcare providers.
AHRQ-funded; HS017831.
Citation: Marchak JG, Cherven B, Williamson Lewis R .
User-centered design and enhancement of an electronic personal health record to support survivors of pediatric cancers.
Support Care Cancer 2020 Aug;28(8):3905-14. doi: 10.1007/s00520-019-05199-w..
Keywords: Children/Adolescents, Cancer, Electronic Health Records (EHRs), Health Information Technology (HIT)
Heintzman J, Marino M, Clark K
Using electronic health record data to study Latino immigrant populations in health services research.
The purpose of this study was to validate an electronic health record (EHR)-based algorithm that could serve as a safe proxy for self-reported immigration status for health services researchers. Researchers developed an EHR algorithm to classify a population of patients as likely undocumented or recent Latino immigrants and validated this algorithm by conducting semi-structured interviews of staff. They concluded that the EHR has potential for studying immigration status in health services research, although more study is needed to determine the accuracy and utility of EHRs for this purpose.
AHRQ-funded; HS021522.
Citation: Heintzman J, Marino M, Clark K .
Using electronic health record data to study Latino immigrant populations in health services research.
J Immigr Minor Health 2020 Aug;22(4):754-61. doi: 10.1007/s10903-019-00925-2..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Racial and Ethnic Minorities, Health Services Research (HSR)
Casillas A, Cemballi AG, Abhat A
An untapped potential in primary care: semi-structured interviews with clinicians on how patient portals will work for caregivers in the safety net.
Researchers used qualitative methods to explore safety net providers' perspectives on portal use among caregivers for their patients. They found that providers recognized the potential for portals to improve information delivery and communication by helping caregivers assist socially and medically complex patients in the safety net. Providers in safety net sites also discussed a clear need for better ways to keep in touch with patients and connect with caregivers, yet security and privacy are perhaps of higher importance in these settings and may pose challenges to portal adoption. Further, caregivers of patients in the safety net likely face similar communication barriers as patients, especially with respect to digital literacy, health literacy, and English proficiency.
AHRQ-funded; HS022408; HS022561.
Citation: Casillas A, Cemballi AG, Abhat A .
An untapped potential in primary care: semi-structured interviews with clinicians on how patient portals will work for caregivers in the safety net.
J Med Internet Res 2020 Jul 20;22(7):e18466. doi: 10.2196/18466..
Keywords: Primary Care, Caregiving, Electronic Health Records (EHRs), Health Information Technology (HIT)
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
Homco J, Carabin H, Nagykaldi Z
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
The purpose of this study was to compare observed performance scores measured using 2 imperfect reference standard data sources with misclassification-adjusted performance scores obtained using bayesian latent class analysis. Using aspirin, blood pressure, and smoking performance data from the Healthy Hearts for Oklahoma Project, researchers found that extracting information for the same individuals using different data sources generated different performance score estimates. Recommendations included further research to identify the sources of these differences.
AHRQ-funded; HS023919.
Citation: Homco J, Carabin H, Nagykaldi Z .
Validity of medical record abstraction and electronic health record-generated reports to assess performance on cardiovascular quality measures in primary care.
JAMA Netw Open 2020 Jul;3(7):e209411. doi: 10.1001/jamanetworkopen.2020.9411..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Cardiovascular Conditions, Quality Measures, Quality of Care, Primary Care, Provider Performance, Evidence-Based Practice
Lacson R, Healey MJ, Cochon LR
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
The purpose of this study was to assess the prevalence of unscheduled radiologic examination orders in an electronic health record and to assess the proportion of unscheduled orders that are clinically necessary. Unscheduled radiologic examination orders were retrieved for seven modalities: computed tomography, magnetic resonance imaging, ultrasound, obstetric ultrasound, bone densitometry, mammography, and fluoroscopy. Findings showed that large numbers of radiologic examination orders remain unscheduled in the electronic health record. Identifying and performing clinically necessary unscheduled radiologic examination orders may help reduce diagnostic errors related to diagnosis and treatment delays and enhance patient safety.
AHRQ-funded; HS024722.
Citation: Lacson R, Healey MJ, Cochon LR .
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
J Am Coll Radiol 2020 Jun;17(6):765-72. doi: 10.1016/j.jacr.2019.12.021..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Imaging, Patient Safety
Di Tosto G, McAlearney AS, Fareed N
Metrics for outpatient portal use based on log file analysis: algorithm development.
This study’s goal was to document the functionality of an outpatient portal in the context of outpatient care by mining portal usage data and to provide insights into how patients use this tool. The authors developed a taxonomy of functions and actions and computed analytic metrics, including frequency and comprehensiveness of use. They found that function use was comprehensive at the patient level, while each session was instead limited to the use of one specific function. They hope to promote the replicability of their study at other institutions and to contribute to the establishment of best practices that can facilitate the adoption of behavioral metrics that enable the measurement of patient engagement based on the outpatient portal use.
AHRQ-funded; HS024091; HS024349; HS024379.
Citation: Di Tosto G, McAlearney AS, Fareed N .
Metrics for outpatient portal use based on log file analysis: algorithm development.
J Med Internet Res 2020 Jun 12;22(6):e16849. doi: 10.2196/16849..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery, Health Services Research (HSR), Research Methodologies
Singh H, Sittig DF
A sociotechnical framework for Safety-Related Electronic Health Record Research reporting: the SAFER Reporting Framework.
Electronic health record (EHR)-based interventions to improve patient safety are complex and sensitive to who, what, where, why, when, and how they are delivered. This article proposed a methodological reporting framework for EHR interventions targeting patient safety and built on an 8-dimension sociotechnical model previously developed by the authors for design, development, implementation, use, and evaluation of health information technology.
AHRQ-funded; HS022087; HS024459; HS017820.
Citation: Singh H, Sittig DF .
A sociotechnical framework for Safety-Related Electronic Health Record Research reporting: the SAFER Reporting Framework.
Ann Intern Med 2020 Jun 2;172(11 Suppl):S92-s100. doi: 10.7326/m19-0879..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Communication
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
Lyles CR, Nelson EC, Frampton S
Using electronic health record portals to improve patient engagement: research priorities and best practices.
This literature review identified 53 studies published from September 2013 to June 2019 that informed best practices and priorities for future research on patient engagement with electronic health record (EHR) data through patient portals. While 90% of health care systems now offer patient portals, only 15-30% of patients use them to access their physicians or health care systems. Studies reviewed mostly involved outpatient settings and fell into 3 major categories: interventions to increase use of patient portals, usability testing of portal interfaces, and documentation of patient and clinician barriers to portal use. Limited health or digital literacy impacted patients’ use of portals. Clinicians reported a lack of workflows to support patient engagement through portals.
AHRQ-funded; HS023558.
Citation: Lyles CR, Nelson EC, Frampton S .
Using electronic health record portals to improve patient engagement: research priorities and best practices.
Ann Intern Med 2020 Jun 2;172(11 Suppl):S123-s29. doi: 10.7326/m19-0876..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient and Family Engagement, Evidence-Based Practice, Health Literacy, Clinician-Patient Communication
Wang L, Blackley SV, Blumenthal KG
A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record.
Incomplete and static reaction picklists in the allergy module led to free-text and missing entries that inhibit the clinical decision support intended to prevent adverse drug reactions. In this study, the investigators developed a novel, data-driven, "dynamic" reaction picklist to improve allergy documentation in the electronic health record (EHR). The investigators concluded that their dynamic reaction picklist was superior to the static picklist and suggested proper reactions for allergy documentation.
AHRQ-funded; HS025375.
Citation: Wang L, Blackley SV, Blumenthal KG .
A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record.
J Am Med Inform Assoc 2020 Jun;27(6):917-23. doi: 10.1093/jamia/ocaa042..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Clinical Decision Support (CDS)
Furukawa MF, Eldridge N, Wang Y
AHRQ Author: Furukawa MF, Eldridge N
Electronic health record adoption and rates of in-hospital adverse events.
Researchers examined the association of hospitals' electronic health record (EHR) adoption and occurrence rates of adverse events among exposed patients. The study included patients hospitalized for acute cardiovascular disease, pneumonia, or conditions requiring surgery. The researchers found that patients exposed to a fully electronic EHR were less likely to experience in-hospital adverse events.
AHRQ-authored.
Citation: Furukawa MF, Eldridge N, Wang Y .
Electronic health record adoption and rates of in-hospital adverse events.
J Patient Saf 2020 Jun;16(2):137-42. doi: 10.1097/pts.0000000000000257..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Events, Inpatient Care, Hospitals, Patient Safety
Zhou Y, Abel GA, Hamilton W
Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: a longitudinal data-linkage study using primary care electronic health records.
Sub-optimal use or interpretation of imaging investigations prior to diagnosis of certain cancers may be associated with less timely diagnosis, but pre-diagnostic imaging activity for urological cancer is unknown. In this study, the investigators analysed linked data derived from primary and secondary care records and cancer registration to evaluate the use of clinically relevant imaging tests pre-diagnosis, in patients with bladder and kidney cancer diagnosed in 2012-15 in England.
AHRQ-funded; HS022087.
Citation: Zhou Y, Abel GA, Hamilton W .
Imaging activity possibly signalling missed diagnostic opportunities in bladder and kidney cancer: a longitudinal data-linkage study using primary care electronic health records.
Cancer Epidemiol 2020 Jun;66:101703. doi: 10.1016/j.canep.2020.101703..
Keywords: Cancer, Diagnostic Safety and Quality, Imaging, Primary Care, Electronic Health Records (EHRs), Health Information Technology (HIT)
Clarke MA, Fruhling AL, Sitorius M
Impact of age on patients' communication and technology preferences in the era of meaningful use: mixed methods study.
Impact of age on patients' communication and technology preferences in the era of meaningful use: mixed methods study.
AHRQ-funded; HS022110.
Citation: Clarke MA, Fruhling AL, Sitorius M .
Impact of age on patients' communication and technology preferences in the era of meaningful use: mixed methods study.
J Med Internet Res 2020 Jun;22(6):e13470. doi: 10.2196/13470..
Keywords: Elderly, Clinician-Patient Communication, Communication, Patient and Family Engagement, Electronic Health Records (EHRs), Health Information Technology (HIT)
Latulipe C, Mazumder SF, Wilson RKW
Security and privacy risks associated with adult patient portal accounts in US hospitals.
The authors sought to identify the proportions of hospitals that provide proxy accounts to caregivers of adult patients, endorse password sharing with caregivers, and enable patients to restrict the types of information seen by their caregivers. They found that almost half of surveyed hospital personnel recommended password sharing and that few hospitals enabled patients to limit the types of information seen by those with proxy access. They concluded that hospitals and electronic health record vendors need to improve the availability and setup process of proxy accounts in a way that allows caregivers to care for patients without violating their privacy.
AHRQ-funded; HS021679.
Citation: Latulipe C, Mazumder SF, Wilson RKW .
Security and privacy risks associated with adult patient portal accounts in US hospitals.
JAMA Intern Med 2020 Jun;180(6):845-9. doi: 10.1001/jamainternmed.2020.0515..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Caregiving, Hospitals
Weng Y, Tian L, Tedesco D
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. This article describes a trajectory analysis for postoperative pain using electronic health records. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement.
AHRQ-funded; HS024096.
Citation: Weng Y, Tian L, Tedesco D .
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Health Informatics J 2020 Jun;26(2):1404-18. doi: 10.1177/1460458219881339..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Pain, Surgery, Orthopedics, Research Methodologies, Health Services Research (HSR)
Huguet N, Kaufmann J, O'Malley J
Using electronic health records in longitudinal studies: estimating patient attrition.
This study’s objective was to estimate overall and among adults with diabetes or hypertension: 1) patient attrition over a 3-year period at community health centers; and 2) the likelihood that patients with Medicaid switched their primary care source. Data was collected from the retrospective cohort study of 2012-2017 claims data Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Data Research Network of community health centers. This study focused on Oregon Medicaid enrollees with a total of 232,891 patients aged 19-64 with a gap of 6 months or more following a claim for a visit billed to a primary care source. The authors theorized the reason was due to patients with Medicaid permanently changing their primary care source. They found that attrition over 3 years averaged 33.5% but patients with diabetes or hypertension was lower (25% or less). Among Medicaid patients the attrition rate 12% for community health center patients compared with 39% for single-provider practice patients.
AHRQ-funded; HS025962.
Citation: Huguet N, Kaufmann J, O'Malley J .
Using electronic health records in longitudinal studies: estimating patient attrition.
Med Care 2020 Jun;58(Suppl 1):S46-S52. doi: 10.1097/mlr.0000000000001298...
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diabetes, Blood Pressure, Chronic Conditions, Primary Care, Medicaid
Soleimani J, Pinevich Y, Barwise AK
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Although diagnostic error (DE) is a significant problem, it remains challenging for clinicians to identify it reliably and to recognize its contribution to the clinical trajectory of their patients. The purpose of this work was to evaluate the reliability of real-time electronic health record (EHR) reviews using a search strategy for the identification of DE as a contributor to the rapid response team (RRT) activation. Early and accurate recognition of critical illness is of paramount importance.
AHRQ-funded; HS026609.
Citation: Soleimani J, Pinevich Y, Barwise AK .
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Appl Clin Inform 2020 May;11(3):474-82. doi: 10.1055/s-0040-1713750..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety
Dixon BE, Zhang Z, Amo JN
Improving notifiable disease case reporting through electronic information exchange-facilitated decision support: a controlled before-and-after trial.
This study examined the results of implementing an electronic, prepopulated notifiable disease report form on case reporting rates by ambulatory care clinics to public health authorities. They conducted a 2-year controlled before-and-after trial of a health information exchange (HIE) in Indiana. Data was analyzed from electronic prepopulated reports and paper and fax reports submitted to a local health department for 7 conditions by using a difference-in-differences model. Provider reporting rates for chlamydia and gonorrhea increased significantly during the baseline period. During the intervention period they decreased significantly in control clinics. Completion and timeliness improved for both intervention and control clinics.
AHRQ-funded; HS020909.
Citation: Dixon BE, Zhang Z, Amo JN .
Improving notifiable disease case reporting through electronic information exchange-facilitated decision support: a controlled before-and-after trial.
Public Health Rep 2020 May/Jun;135(3):401-10. doi: 10.1177/0033354920914318..
Keywords: Health Information Exchange (HIE), Health Information Technology (HIT), Electronic Health Records (EHRs), Public Health, Public Reporting, Ambulatory Care and Surgery
Classen DC, Holmgren AJ, Co Z
National trends in the safety performance of electronic health record systems from 2009 to 2018.
This study examined trends in the safety performance of electronic health records (EHRs) in hospitals from 2009 to 2018. The Leapfrog Health IT Safety Measure test was administered by the Leapfrog Group from July 2018 to December 1, 2019. Overall mean performance scores increased from 53.9% in 2009 to 65.6% in 2018. Mean hospital scores for categories representing basic clinical decision support increased from 69.8% in 2009 to 85.6% in 2018. Advanced decision clinical support also increased from 29.5% in 2009 to 46.1%. These results showed great improvement, but there is still substantial safety risk in current hospital EHR systems.
AHRQ-funded; HS023696.
Citation: Classen DC, Holmgren AJ, Co Z .
National trends in the safety performance of electronic health record systems from 2009 to 2018.
JAMA Netw Open 2020 May;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Patient Safety, Quality Measures, Clinical Decision Support (CDS), Quality Indicators (QIs)
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