National Healthcare Quality and Disparities Report
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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 155 Research Studies DisplayedBobo WV, Ryu E, Petterson TM
Bi-directional association between depression and HF: an electronic health records-based cohort study.
This study examined whether heart failure (HF) patients were more likely to be diagnosed with depression, or patients with depression were more likely to be diagnosed with HF. This retrospective cohort study utilized electronic health records (EHRs) from a large healthcare system in 2006 for adults who received primary care services. The EHR identified 10,649 people with depression, and 5,911 people with HF between 2006 to 2018. In the depression cohort there were 2,024 newly diagnosed occurrences of HF, and 944 occurrences of newly diagnosed depression in the HF cohort over 4-6 years of follow-up. There was a significantly higher risk of developing HF in the depression cohort than vice versa.
AHRQ-funded; HS023077.
Citation: Bobo WV, Ryu E, Petterson TM .
Bi-directional association between depression and HF: an electronic health records-based cohort study.
J Comorb 2020 Jan-Dec;10:2235042x20984059. doi: 10.1177/2235042x20984059..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Depression, Electronic Health Records (EHRs), Health Information Technology (HIT), Chronic Conditions
Desai AD, Wang G, Wignall J
User-centered design of a longitudinal care plan for children with medical complexity.
This study’s goal was to determine content priorities and design preferences for a longitudinal care plan (LCP) among caregivers and healthcare providers who care for children with complex medical conditions (CMC) in acute care settings. Thirty iterative one-on-one design sessions with 10 caregivers and 20 providers were conducted. There was high within-group variability in content preferences among caregivers compared to provider groups. The authors identified 6 design preferences: a familiar yet customizable layout, a problem-based organization schema, linked content between sections, a table layout for most sections, a balance between unstructured and structured data fields, and use of family-centered terminology.
AHRQ-funded; HS024299.
Citation: Desai AD, Wang G, Wignall J .
User-centered design of a longitudinal care plan for children with medical complexity.
J Am Med Inform Assoc 2020 Dec 9;27(12):1860-70. doi: 10.1093/jamia/ocaa193..
Keywords: Children/Adolescents, Chronic Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT), Care Coordination, Caregiving
Davoudi A, Lee NS, Chivers C
Patient interaction phenotypes with an automated remote hypertension monitoring program and their association with blood pressure control: observational study.
Researchers explored the unique phenotypes of patient interactions with an automated text messaging platform for blood pressure (BP) monitoring and to estimate associations between interaction phenotypes and BP control. Through a secondary analysis of data from a randomized controlled trial for adults with poorly controlled hypertension, they identified unique interaction phenotypes among patients engaging with an automated text message platform for remote BP monitoring; only the minimalist communication style was associated with achieving target BP. They recommended identifying and understanding interaction phenotypes to tailor future automated texting interactions and design future interventions to achieve better BP control.
AHRQ-funded; HS026372.
Citation: Davoudi A, Lee NS, Chivers C .
Patient interaction phenotypes with an automated remote hypertension monitoring program and their association with blood pressure control: observational study.
J Med Internet Res 2020 Dec 3;22(12):e22493. doi: 10.2196/22493..
Keywords: Telehealth, Blood Pressure, Health Information Technology (HIT)
Everson J, Cheng AK, Patrick SW
Association of electronic prescribing of controlled substances with opioid prescribing rates.
The purpose of this study was to assess the association between use of electronic prescribing of controlled substances (EPCS) and trends in opioid prescribing. Results suggested that an increased use of EPCS was not associated with decreased opioid prescribing or a decrease in the amount prescribed and may have been associated with a small increase in opioid prescribing. Recommendations included levers to ensure that EPCS is integrated with outside data and that information is actively used to inform prescribing decisions.
AHRQ-funded; HS026395.
Citation: Everson J, Cheng AK, Patrick SW .
Association of electronic prescribing of controlled substances with opioid prescribing rates.
JAMA Netw Open 2020 Dec;3(12):e2027951. doi: 10.1001/jamanetworkopen.2020.27951..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Opioids, Medication, Practice Patterns, Provider: Physician, Provider: Clinician, Provider
Patterson 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)
Miller AC, Ward MM, Ullrich F
Emergency department telemedicine consults are associated with faster time-to-electrocardiogram and time-to-fibrinolysis for myocardial infarction patients.
The objective of this study was to evaluate the impact of telemedicine on the timeliness of emergency acute myocardial infarction (AMI) care for patients presenting to rural emergency departments (EDs) with chest pain. Findings showed that, in telemedicine networks, telemedicine consultation during the ED visit was associated with improved timeliness of electrocardiogram evaluation and increased use of fibrinolytic reperfusion therapy for rural AMI patients.
AHRQ-funded; HS025753.
Citation: Miller AC, Ward MM, Ullrich F .
Emergency department telemedicine consults are associated with faster time-to-electrocardiogram and time-to-fibrinolysis for myocardial infarction patients.
Telemed J E Health 2020 Dec;26(12):1440-48. doi: 10.1089/tmj.2019.0273..
Keywords: Telehealth, Health Information Technology (HIT), Emergency Department, Rural Health, Heart Disease and Health, Cardiovascular Conditions
Radovic A, Odenthal K, Flores AT
Prescribing technology to increase uptake of depression treatment in primary care: a pre-implementation focus group study of SOVA (Supporting Our Valued Adolescents).
Supporting Our Valued Adolescents (SOVA) is a web-based technology intervention designed to increase depression and anxiety treatment uptake by adolescents in the context of an anonymous peer community with an accompanying website for parents. With a goal of informing the design of a hybrid effectiveness-implementation randomized controlled trial, we conducted a pre-implementation study in two primary care practices to guide implementation strategy development. We conducted focus groups with primary care providers (PCPs) at three different timepoints with PCPs (14 total) from two community practices.
AHRQ-funded; HS022989.
Citation: Radovic A, Odenthal K, Flores AT .
Prescribing technology to increase uptake of depression treatment in primary care: a pre-implementation focus group study of SOVA (Supporting Our Valued Adolescents).
J Clin Psychol Med Settings 2020 Dec;27(4):766-82. doi: 10.1007/s10880-019-09669-5.
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Keywords: Children/Adolescents, Depression, Anxiety, Behavioral Health, Primary Care, Health Information Technology (HIT), Implementation
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
Flynn G, Jia H, Reynolds NR
Protocol of the randomized control trial: the WiseApp trial for improving health outcomes in PLWH (WiseApp).
This paper outlines the protocol for the WiseApp randomized control trial. The WiseApp contains real-time medication monitoring linking an electronic pill bottle and fitness tracker to the app, helping persons living with HIV (PLWH) self-manage their medication adherence and improve their overall quality of life. The primary objective of the trial is to test the effect of the WiseApp's medication adherence features on antiretroviral adherence in underserved PLWH in New York City. The real-time monitoring of the WiseApp has the potential to help providers initiate interventions to help patients resume treatment before drug resistance begins.
AHRQ-funded; HS025071.
Citation: Flynn G, Jia H, Reynolds NR .
Protocol of the randomized control trial: the WiseApp trial for improving health outcomes in PLWH (WiseApp).
BMC Public Health 2020 Nov 25;20(1):1775. doi: 10.1186/s12889-020-09688-0..
Keywords: Human Immunodeficiency Virus (HIV), Medication, Telehealth, Health Information Technology (HIT), Patient Adherence/Compliance, Patient Self-Management, Chronic Conditions, Care Management, Healthcare Delivery
Salmasian H, Blanchfield BB, Joyce K
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Wrong-patient order entry (WPOE) errors have a high potential for harm; these errors are particularly frequent wherever workflows are complex and multitasking and interruptions are common, such as in the emergency department (ED). The purpose of this study was to evaluate whether the use of noninterruptive display of patient photographs in the banner of the electronic health record (EHR) is associated with a decreased rate of WPOE errors.
AHRQ-funded; HS024713.
Citation: Salmasian H, Blanchfield BB, Joyce K .
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
AMA Netw Open 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication, Medication: Safety, Patient Safety, Diagnostic Safety and Quality
Yang J, Wang L, Phadke
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor. The purpose of this study was to develop a deep learning model to identify allergic reactions in the free-text narrative of hospital safety reports and evaluate its generalizability, efficiency, productivity, and interpretability. The investigators concluded that their study showed that a deep learning model could accurately and efficiently identify allergic reactions using free-text narratives written by a variety of health care professionals.
AHRQ-funded; HS025375.
Citation: Yang J, Wang L, Phadke .
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
JAMA Netw Open 2020 Nov 2;3(11):e2022836. doi: 10.1001/jamanetworkopen.2020.22836..
Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Patient Safety
Pantell MS, Adler-Milstein J, Wang MD
A call for social informatics.
This article discusses the emergence of a new subfield of health informatics, focused on the application of information technologies to capture and apply social data in conjunction with health data to advance individual and population health. Many professional organizations have endorsed screening for social determinants of health (SDOH), and the US Office of the National Coordinator for Health Information Technology has recommended increased capacity of health information technology to integrate and support use of SDOH in clinical settings.
AHRQ-funded; HS026383.
Citation: Pantell MS, Adler-Milstein J, Wang MD .
A call for social informatics.
J Am Med Inform Assoc 2020 Nov;27(11):1798-801. doi: 10.1093/jamia/ocaa175..
Keywords: Health Information Technology (HIT), Social Determinants of Health
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)
Yang J, Landrum MB, Zhou L
Disparities in outpatient visits for mental health and/or substance use disorders during the COVID surge and partial reopening in Massachusetts.
The purpose of this study was to examine changes in outpatient visits for mental health and/or substance use disorders (MH/SUD) in an integrated healthcare organization during the initial Massachusetts COVID-19 surge and partial state reopening. The investigators concluded that MH/SUD visit volume increased during the COVID surge and was supported by rapidly-scaled telemedicine.
AHRQ-funded; HS025375.
Citation: Yang J, Landrum MB, Zhou L .
Disparities in outpatient visits for mental health and/or substance use disorders during the COVID surge and partial reopening in Massachusetts.
Gen Hosp Psychiatry 2020 Nov-Dec;67:100-06. doi: 10.1016/j.genhosppsych.2020.09.004..
Keywords: Behavioral Health, Substance Abuse, COVID-19, Disparities, Access to Care, Ambulatory Care and Surgery, Telehealth, Health Information Technology (HIT)
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)
Ward TM, Skubic M, Rantz M
Human-centered approaches that integrate sensor technology across the lifespan: opportunities and challenges.
Children, parents, older adults, and caregivers routinely use sensor technology as a source of health information and health monitoring. The purpose of this paper was to describe three exemplars of research that used a human-centered approach to engage participants in the development, design, and usability of interventions that integrate technology to promote health. The exemplars were based on current research studies that integrated sensor technology into pediatric, adult, and older adult populations living with a chronic health condition.
AHRQ-funded; HS018477.
Citation: Ward TM, Skubic M, Rantz M .
Human-centered approaches that integrate sensor technology across the lifespan: opportunities and challenges.
Nurs Outlook 2020 Nov-Dec;68(6):734-44. doi: 10.1016/j.outlook.2020.05.004..
Keywords: Health Information Technology (HIT), Patient and Family Engagement, Health Services Research (HSR), Research Methodologies
Thate JA, Couture B, Schnock KO
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
It is clear that interdisciplinary communication and collaboration have the potential to mitigate healthcare-associated harm, yet there is limited research on how communication through documentation in the patient record can support collaborative decision making. Understanding what information is needed to support collaborative decision making is necessary to design electronic health information systems that facilitate effective communication and, ultimately, safe care. To explore this issue, the investigators focused on information needs related to central venous catheter management and the prevention of central line-associated blood stream infections.
AHRQ-funded; HS0235335.
Citation: Thate JA, Couture B, Schnock KO .
Information needs and the use of documentation to support collaborative decision-making: implications for the reduction of central line-associated blood stream infections.
Comput Inform Nurs 2020 Nov 2;39(4):208-14. doi: 10.1097/cin.0000000000000683..
Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Decision Making, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Jacobs M, Briley P, Ellis C
Quantifying experiences with telepractice for aphasia therapy: a text mining analysis of client response data.
The investigators’ goal was to use content analysis (CA) to measure posttreatment satisfaction with a telepractice approach for aphasia treatment. Seventeen persons with aphasia (PWA) received 12 treatment sessions over a 6-week period, after which CA was utilized to explore patient satisfaction with this treatment approach. The investigators concluded that their study demonstrated that CA can be an effective approach for determining satisfaction with aphasia treatment, particularly among PWA with limited verbal abilities.
AHRQ-funded; HS025043.
Citation: Jacobs M, Briley P, Ellis C .
Quantifying experiences with telepractice for aphasia therapy: a text mining analysis of client response data.
Semin Speech Lang 2020 Nov;41(5):414-32. doi: 10.1055/s-0040-1716887..
Keywords: Telehealth, Health Information Technology (HIT), Patient Experience, Neurological Disorders
Gance-Cleveland B, McDonald CC, Walker RK
Use of theory to guide development and application of sensor technologies in nursing.
In this paper, three nurse scientists summarize their presentations at the Council for the Advancement of Nursing Science 2019 Advanced Methods Conference on Expanding Science of Sensor Technology in Research discussing the theoretical underpinnings of sensor technologies development and use in nursing research and practice.
AHRQ-funded; HS024738; HS018646.
Citation: Gance-Cleveland B, McDonald CC, Walker RK .
Use of theory to guide development and application of sensor technologies in nursing.
Nurs Outlook 2020 Nov-Dec;68(6):698-710. doi: 10.1016/j.outlook.2020.04.007..
Keywords: Health Information Technology (HIT), Nursing, Health Services Research (HSR), Research Methodologies
Brady PW, Schondelmeyer AC, Landrigan CP
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
Investigators used direct bedside observation to determine continuous pulse oximetry monitor use in infants with bronchiolitis and then assessed if an active continuous monitoring order was present in the electronic health record. They found that most monitored infants did not have an active monitoring order. The positive predictive value of a monitoring order was 77%, and the negative predictive value was 69%. They recommended that teams intending to measure continuous pulse oximetry use understand the limitations of using electronic health record orders as a stand-alone measure.
AHRQ-funded; HS023827; HS026763.
Citation: Brady PW, Schondelmeyer AC, Landrigan CP .
Validity of continuous pulse oximetry orders for identification of actual monitoring status in bronchiolitis.
J Hosp Med 2020 Nov;15(11):665-68. doi: 10.12788/jhm.3443..
Keywords: Newborns/Infants, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals
Bell KM, Onyeukwu C, Smith CN
A portable system for remote rehabilitation following a total knee replacement: a pilot randomized controlled clinical study.
The authors have developed and previously validated the accuracy of a remote (wearable) rehabilitation monitoring platform (interACTION). The present study's objective was to assess the feasibility of utilizing interACTION for the remote management of rehabilitation after total knee replacement (TKR) and to determine a preliminary estimate of the effects of the interACTION system on the value of rehabilitation. Findings showed that all patients and physical therapists in the interACTION Group indicated that they would use the system again in the future. Therefore, the next steps are to address the concerns identified in this pilot study and to expand the platform to include behavioral change strategies prior to conducting a full-scale randomized controlled trial.
Citation: Bell KM, Onyeukwu C, Smith CN .
A portable system for remote rehabilitation following a total knee replacement: a pilot randomized controlled clinical study.
Sensors 2020 Oct 27;20(21). doi: 10.3390/s20216118..
Keywords: Orthopedics, Rehabilitation, Health Information Technology (HIT)
Boggs KM, Teferi MM, Espinola JA
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
This paper looks at the challenges and opportunities presented by consolidating hospital-level data with patient-level data to create better analyses of hospital-based specialties, units, or departments, and patient outcomes. The American Hospital Association (AHA) has hospital-level data, while the Centers for Medicare & Medicaid Services (CMS) has patient-level data which can be used to study emergency departments (EDs). A distinct database discussed in this paper is the Nationwide Emergency Department Inventory (NEDI). However, the NEDI database lists EDs individually while the AHA and CMS databases list EDs individually or by group if they are part of a larger network. A test set using EDs from New England was conducted using individually matched NEDI EDs with corresponding EDs in the AHA and CMS. A “group match” was assigned when more than one NEDI ED was matched to a single AHA or CMS facility ID number. Of the 195 EDs in the test set, 169 (87%) completed the NEDI survey. Of those, 77% EDs were individually listed in AHA and CMS while 39 were part of groups consisting of 2-3 EDs with one facility ID. The grouped EDs had a larger number of annual visits and beds, were more likely to be freestanding and were less likely to be rural. The consolidated dataset with 171 EDS yielded similar results to the 169 responding EDs which provides a more representative sample for studies.
AHRQ-funded; HS024561.
Citation: Boggs KM, Teferi MM, Espinola JA .
Consolidating emergency department-specific data to enable linkage with large administrative datasets.
West J Emerg Med 2020 Oct 27;21(6):141-45. doi: 10.5811/westjem.2020.8.48305..
Keywords: Healthcare Cost and Utilization Project (HCUP), Emergency Department, Hospitals, Health Information Technology (HIT)
Senathirajah Y, Kaufman DR, Cato KD
Characterizing and visualizing display and task fragmentation in the electronic health record: mixed methods design.
The complexity of health care data and workflow presents challenges to the study of usability in electronic health records (EHRs). This study aimed to define and analyze some of the main sources of fragmentation in EHR user interfaces (UIs); discuss relevant theoretical, historical, and practical considerations; and use granular microanalytic methods and visualization techniques to help us understand the nature of fragmentation and opportunities for EHR optimization or redesign.
AHRQ-funded; HS023708.
Citation: Senathirajah Y, Kaufman DR, Cato KD .
Characterizing and visualizing display and task fragmentation in the electronic health record: mixed methods design.
JMIR Hum Factors 2020 Oct 21;7(4):e18484. doi: 10.2196/18484..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Workflow, System Design
Rossol SL, Yang JK, Toney-Noland C
Non-contact video-based neonatal respiratory monitoring.
Respiratory rate (RR) has been shown to be a reliable predictor of cardio-pulmonary deterioration, but standard RR monitoring methods in the neonatal intensive care units (NICU) with contact leads have been related to iatrogenic complications. This iterative design study developed a novel algorithm that produced RR from footage analyzed from stable NICU patients in open cribs with corrected gestational ages ranging from 33 to 40 weeks. The final algorithm used a proprietary technique of micromotion and stationarity detection to model background noise to be able to amplify and record respiratory motions.
AHRQ-funded; HS023506.
Citation: Rossol SL, Yang JK, Toney-Noland C .
Non-contact video-based neonatal respiratory monitoring.
Children 2020 Oct 6;7(10). doi: 10.3390/children7100171..
Keywords: Newborns/Infants, Health Information Technology (HIT), Respiratory Conditions, Neonatal Intensive Care Unit (NICU), Intensive Care Unit (ICU)
Madapana N, Gonzalez G, Zhang L
Agreement study using gesture description analysis.
Investigators proposed a generalized framework that inherently incorporated gesture descriptors into the agreement analysis. They introduced a new metric referred to as Soft Agreement Rate (SAR) to measure the level of agreement and provide a mathematical justification for this metric. Their method was evaluated and tested by a group of neurosurgeons. Results showed that the level of agreement obtained by SAR is 2.64 times higher than previous metrics. They concluded by showing that their approach complements the existing agreement techniques by generating an artificial lexicon based on the most agreed properties.
AHRQ-funded; HS024887.
Citation: Madapana N, Gonzalez G, Zhang L .
Agreement study using gesture description analysis.
IEEE Trans Hum Mach Syst 2020 Oct;50(5):434-43. doi: 10.1109/thms.2020.2992216..
Keywords: Health Information Technology (HIT)