Ameen Abu-Hanna

Academisch Medisch Centrum Universiteit van Amsterdam, Amsterdamo, North Holland, Netherlands

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Publications (165)350.19 Total impact

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    ABSTRACT: Introduction The monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya. Methods A retrospective study was carried out to assess the quality of pre-ART care using three indicators: (1) the performance of a baseline CD4 test, (2) time from enrollment in care to first CD4 test, and (3) time from baseline CD4 to second CD4 test. A comparison of these indicators was made pre and post the introduction of an EMR system in 17 rural HIV clinics. Results A total of 18 523 patients were receiving pre-ART care, of whom 38.8% in the paper group had had at least one CD4 test compared to 53.4% in the EMR group (p < 0.001). The adjusted odds of performing a CD4 test in clinics using an EMR was 1.59 (95% confidence interval 1.49–1.69). The median time from enrolment into HIV care to first CD4 test was 1.40 months (interquartile range (IQR) 0.47–4.87) for paper vs. 0.93 months (IQR 0.43–3.37) for EMR. The median time from baseline to first CD4 follow-up was 7.5 months (IQR 5.97–10.73) for paper and 6.53 months (IQR 5.57–7.87) for EMR. Conclusion The use of the EMR system was associated with better compliance to HIV guidelines for pre-ART care. EMRs have a potential positive impact on quality of care for HIV patients in resource-constrained settings.
    International Journal of Infectious Diseases. 10/2014;
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    ABSTRACT: Objectives We designed a computer-based decision aid (CDA) for use by pregnant women at home to investigate and participate in solving their pregnancy problems related to pregnancy-induced hypertension (PIH) and gestational diabetes (GD). The system cannot and is not intended to replace visits to physicians; rather it can help women focus on the most important symptoms and provides guidance on when to see a doctor. Methods The study is a randomized controlled trial, which is performed among Iranian pregnant women. For subjects, 420 healthy pregnant women have been recruited from two private and two public prenatal centers. The intervention group will receive the CDA for use at home, and the control group will receive care as usual. The CDA relies on knowledge extracted from the national guidelines on PIH and GD. Results The two primary outcomes for the study are self-efficacy and knowledge. Self-efficacy will be measured by the Stanford self-efficacy scale and knowledge will be evaluated by 15 binary (true/false) questions provided by the researchers. Secondary outcomes include type and frequency of doctor and/or medical center visits; blood pressure and blood sugar changes based on the national guidelines and according to pregnancy records, and anxiety will be assessed by the state component of the short Spielberger anxiety scale. Conclusions This paper describes the design of a CDA and a protocol for a randomized controlled trial to study the effects of the CDA on self-efficacy and knowledge of pregnant women pertaining to PIH and GD. Differences in the primary outcomes will be analyzed using 'intention-to-treat' principles.
    Healthcare informatics Research. 10/2014; 20(4):266-271.
  • Critical care medicine. 10/2014; 42(10):e684-e685.
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    ABSTRACT: To test how certain patient factors would influence the decision of Dutch care providers regarding insulin dose adjustments and our hypothesis that some of these decisions would diverge from recent evidence and consensus statements.
    Diabetic Medicine 09/2014; · 3.24 Impact Factor
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    ABSTRACT: Drug-drug interactions (DDIs) are an important type of adverse drug events. Yet overall incidence and pattern of DDIs in Iran has not been well documented and little information is available about the strategies that have been used for their prevention. The purpose of this study was to systematically review the literature on the incidence and pattern of DDIs in Iran as well as the used strategies for their prevention. PubMed, Scopus, electronic Persian databases, and Google Scholar were searched to identify published studies on DDIs in Iran. Additionally, the reference lists of all retrieved articles were reviewed to identify additional relevant articles. Eligible studies were those that analyzed original data on the incidence of DDIs in inpatient or outpatient settings in Iran. Articles about one specific DDI and drug interactions with herbs, diseases, and nutrients were excluded. The quality of included studies was assessed using quality assessment criteria. Database searches yielded 1053 potentially eligible citations. After removing duplicates, screening titles and abstracts, and reading full texts, 34 articles were found to be relevant. The quality assessment of the included studies showed a relatively poor quality. In terms of study setting, 18 and 16 studies have been conducted in inpatient and outpatient settings, respectively. All studies focused on potential DDIs while no study assessed actual DDIs. The median incidence of potential DDIs in outpatient settings was 8.5% per prescription while it was 19.2% in inpatient settings. The most indicated factor influencing DDIs incidence was patient age. The most involved drug classes in DDIs were beta blockers, angiotensin-converting-enzyme inhibitors (ACEIs), diuretic agents, and non-steroidal anti-inflammatory drugs (NSAIDs). Thirty-one studies were observational and three were experimental in which the strategies to reduce DDIs were applied. Although almost all studies concluded that the incidence of potential DDIs in Iran in both inpatient and outpatient settings was relatively high, there is still no evidence of the incidence of actual DDIs. More extensive research is needed to identify and minimize factors associated with incidence of DDIs, and to evaluate the effects of preventive interventions especially those that utilize information technology.
    Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences. 06/2014; 22(1):52.
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    ABSTRACT: There is little evidence that electronic medical record (EMR) use is associated with better compliance with clinical guidelines on initiation of antiretroviral therapy (ART) among ART-eligible HIV patients. We assessed the effect of transitioning from paper-based to an EMR-based system on appropriate placement on ART among eligible patients.
    Journal of the American Medical Informatics Association : JAMIA. 06/2014;
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    ABSTRACT: Abstract Objective: The objective of the present study is to investigate trends in birth asphyxia and perinatal mortality in the Netherlands over the last decade. Methods: A nationwide cohort study among women with a term singleton pregnancy. We assessed trends in birth asphyxia in relation to obstetric interventions for fetal distress. Birth asphyxia was defined as a 5 minute Apgar score < 7 (any asphyxia) or 5 minute Apgar score < 4 (severe asphyxia). Perinatal mortality was defined as mortality during delivery or within seven days after birth. Multivariable analyses were used to adjust for confounding factors. Results: The prevalence of birth asphyxia was 0.85% and severe asphyxia 0.16%. Between 1999 and 2010 birth asphyxia decreased significantly with approximately 6% (p = 0.03) and severe asphyxia with 11% (p = 0.03). There was no significant change in perinatal mortality rate (0.98 per 1000 live births). Simultaneously the referral rate from primary to secondary care during labor increased from 20% to 24% (p< 0.0001) and the intervention rate for fetal distress from 5.9% to 7.7% (P<0.0001). Conclusion: In the Netherlands, the risk of birth asphyxia among term singletons has slightly decreased over the last decade; without a significant change in perinatal mortality.
    Journal of Maternal-Fetal and Neonatal Medicine. 05/2014;
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    ABSTRACT: Surviving Sepsis Campaign bundles have been associated with reduced mortality in severe sepsis and septic shock patients. Case-mix adjusted mortality evaluations have not been performed to compare hospitals participating in sepsis bundle programs with those not participating. We aimed to achieve an individual bundle target adherence more than 80% and a relative mortality reduction of at least 15% (absolute mortality reduction 5.2%) at the end of 2012. Prospective multicenter cohort study in participating and nonparticipating centers. Eighty-two ICUs in The Netherlands. In total, 213,677 adult ICU patients admitted to all ICUs among which 8,387 severe sepsis patients at 52 participating ICUs and 8,031 severe sepsis patients at 30 nonparticipating ICUs. A national program to screen patients for severe sepsis and septic shock and implement Surviving Sepsis Campaign bundles to complete within 6 and 24 hours after ICU admission. Bundle target adherence and case-mix adjusted in-hospital mortality were evaluated through odds ratios of time since program initiation by logistic generalized estimating equation analyses (July 2009 through January 2013). Outcomes were adjusted for age, gender, admission type, severity of illness, and sepsis diagnosis location. Participation duration was associated with improved bundle target adherence (adjusted odds ratio per month = 1.024 [1.016-1.031]) and decreased in-hospital mortality (adjusted odds ratio per month = 0.992 [0.986-0.997]) equivalent to 5.8% adjusted absolute mortality reduction over 3.5 years. Mortality reduced in screened patients with other diagnoses (1.9% over 3.5 yr, adjusted odds ratio per month = 0.995 [0.9906-0.9996]) and did not change in nonscreened patients in participating ICUs, nor in patients with sepsis or other diagnoses in nonparticipating ICUs. Implementation of a national sepsis program resulted in improved adherence to sepsis bundles in severe sepsis and septic shock patients and was associated with reduced adjusted in-hospital mortality only in participating ICUs, suggesting direct impact of sepsis screening and bundle application on in-hospital mortality.
    Critical care medicine 03/2014; · 6.37 Impact Factor
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    ABSTRACT: Previous efforts such as Assessing Care of Vulnerable Elders (ACOVE) provide quality indicators for assessing the care of elderly patients, but thus far little has been done to leverage this knowledge to improve care for these patients. We describe a clinical decision support system to improve general practitioner (GP) adherence to ACOVE quality indicators and a protocol for investigating impact on GPs' adherence to the rules. We propose two randomized controlled trials among a group of Dutch GP teams on adherence to ACOVE quality indicators. In both trials a clinical decision support system provides un-intrusive feedback appearing as a color-coded, dynamically updated, list of items needing attention. The first trial pertains to real-time automatically verifiable rules. The second trial concerns non-automatically verifiable rules (adherence cannot be established by the clinical decision support system itself, but the GPs report whether they will adhere to the rules). In both trials we will randomize teams of GPs caring for the same patients into two groups, A and B. For the automatically verifiable rules, group A GPs receive support only for a specific inter-related subset of rules, and group B GPs receive support only for the remainder of the rules. For non-automatically verifiable rules, group A GPs receive feedback framed as actions with positive consequences, and group B GPs receive feedback framed as inaction with negative consequences. GPs indicate whether they adhere to non-automatically verifiable rules. In both trials, the main outcome measure is mean adherence, automatically derived or self-reported, to the rules. We relied on active end-user involvement in selecting the rules to support, and on a model for providing feedback displayed as color-coded real-time messages concerning the patient visiting the GP at that time, without interrupting the GP's workflow with pop-ups. While these aspects are believed to increase clinical decision support system acceptance and its impact on adherence to the selected clinical rules, systems with these properties have not yet been evaluated.Trial registration: Controlled Trials NTR3566.
    Trials 03/2014; 15(1):81. · 2.21 Impact Factor
  • Niels Peek, Ameen Abu-Hanna
    Journal of Biomedical Informatics 03/2014; · 2.13 Impact Factor
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    ABSTRACT: Aims: To evaluate the performance of fractional excretion of urea (FeU) for differentiating transient (T) from persistent (P) acute kidney injury (AKI) and to assess performance of FeU in predicting AKI in patients admitted to the ICU. Methods: We performed secondary analysis of a multicenter prospective observational cohort study on the predictive performance of biological markers for AKI in critically ill patients. AKI was diagnosed according to RIFLE staging. Results: Of 150 patients, 51 and 41 patients were classified as having T-AKI and P-AKI, respectively. The diagnostic performance for FeU to discriminate T-AKI from P-AKI on the day of AKI was poor (AUC-ROC = 0.61; 95% CI: 0.49-0.73). The diagnostic performance of FeU to predict AKI 1 and 2 days prior to AKI was poor as well (AUC-ROC = 0.61; 95% CI: 0.47-0.74, and 0.58; 95% CI: 0.43-0.73, respectively). Conclusions: FeU does not seem to be helpful in differentiating T- from P-AKI in critically ill patients and it is a poor predictor of AKI. © 2014 S. Karger AG, Basel.
    Nephron Clinical Practice 01/2014; 126(1):8-13. · 1.65 Impact Factor
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    ABSTRACT: Objective To develop a prognostic model for antenatal prediction of neonatal mortality in infants threatening to be born very preterm (< 32 weeks). Study design Nationwide cohort study in The Netherlands between 1999 and 2007. We studied 8,500 singletons born between 25+0 and 31+6 weeks of gestation where fetus was alive at birth without congenital anomalies. We developed a multiple logistic regression model to estimate the risk of neonatal mortality within 28 days after birth, based on characteristics that are known before birth. We used bootstrapping techniques for internal validation. Discrimination (AUC), accuracy (Brier score) and calibration (graph, c-statistics) were used to assess the model's predictive performance. Results Neonatal mortality occurred in 766 (90 per 1000) live births. The final model consisted of seven variables. Predictors were low gestational age, no antental corticosteroids, male gender, maternal age ≥ 35 years, Caucasian ethnicity, non-cephalic presentation and non-3rd level of hospital. The predicted probabilities ranged from 0.003 to 0.697 (IQR 0.02-0.11). The model had an AUC of 0.83, the Brier score was 0.065. The calibration graph showed good calibration, and the test for the Hosmer Lemeshow c-statistic showed no lack of fit (p = 0.43). Conclusions Neonatal mortality can be predicted for very preterm births based on the antenatal factors gestational age, antental corticosteroids, fetal gender, maternal age, ethnicity, presentation and level of hospital. This model can be helpful in antenatal counselling.
    European journal of obstetrics, gynecology, and reproductive biology 01/2014; · 1.97 Impact Factor
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    ABSTRACT: To investigate which medications are associated with recurrent falls in elderly patients who attend the accident and emergency department following a fall.
    Nederlands tijdschrift voor geneeskunde 01/2014; 158:A7289.
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    ABSTRACT: Storage and transportation of red blood cells (RBCs) outside the standard temperature range as defined by guidelines can lead to hemolysis. One of the main factors believed to cause hemolysis is temperature.Infusion of the corrupted RBCs leads to haemolytic reactions which are severe and life-threatening. We developed a temperature monitoring system to monitor temperature changes of each blood bag during storage and transportation. The main objective of the present study was evaluating the accuracy of the temperature monitoring system and studying its feasibility. Validating the system relied on accurate digital thermometers that latch on a blood bag. To evaluate the feasibility, a case study was performed on 20 RBC bags transported from hospital blood bank to the cardiac surgery intensive care unit and the heart operating room. The results indicated that 12% of 25605 recorded temperatures (per minute) were outside the standard range. Minimum and maximum temperatures were 0.5°C and 16°C that were below and above the standard, respectively. The system was shown to be easily handled by users. The system is capable to alarm when a blood bag's temperature is outside the standard temperature and prevents blood corruption. This system can be used as a decision support system in blood transfusion services to improve storage and transportation conditions of the blood bags.
    Studies in health technology and informatics 01/2014; 205:730-734.
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    ABSTRACT: Falls form a major health problem for older persons, and increasingly strain the healthcare system. The Internet is a potentially useful platform for empowering seniors. The aim of this study was therefore to investigate the information-seeking behavior about falls among elderly Internet users. A web-based survey was distributed among all members of an association of elderly people (> 60 years old). Fallers and non-fallers, seniors with and without experience with information seeking and the willingness of elderly for undertaking self-assessment tests on the Internet versus solely receiving information about falls were compared. In general, there was much stated interest in receiving information about conditions and medications that increase the risk of falls and information on safety in the house. Around half of the 62 respondents did not feel that they are well-informed about falls. Searching for fall-related information was not significantly associated with having falls in the previous 12 months (OR 2.11, CI: 0.55-8.16). The majority expressed higher interest in receiving fall-related information than undertaking a self-assessment test. However, only a small proportion had searched for this information already.
    Studies in health technology and informatics 01/2014; 205:647-651.
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    ABSTRACT: In critically ill patients, glucose control with insulin mandates time- and blood-consuming glucose monitoring. Blood glucose level fluctuations are accompanied by metabolomic changes that alter the composition of volatile organic compounds (VOC), which are detectable in exhaled breath. This review systematically summarizes the available data on the ability of changes in VOC composition to predict blood glucose levels and changes in blood glucose levels.
    BMC Anesthesiology 01/2014; 14:46. · 1.19 Impact Factor
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    ABSTRACT: Background and Objective: Internet forms an opportunity to inform, teach, and connect professionals and patients. However, much information on Internet is incomplete, inaccurate, or misleading, and not only in the medical domain. Because of the potential for damage from misleading and inaccurate health information, many organizations and individuals have published or implemented scoring tools for evaluating the appropriateness or quality of these resources. The objective of this study is to identify and summarize scoring tools that have evaluated web-sites providing reproductive health information in order to compare them and recommend an overarching evaluation tool. Methods: We searched Ovid MEDLINE(R) (1946 to July 2013) and OVID Embase (1980 to July 2013); and included English language studies that have evaluated the quality of websites providing reproductive health information. Studies only assessing the content of websites were excluded. Results: We identified 5 scoring tools: 1-The HON (health on the net) Code of Conduct for medical and health Web sites, 2-Silberg scores, 3-Hogne Sandvik scale, 4-Jim Kapoun's Criteria for Evaluating Web Pages, and 5-The Health Information Technology Institute (HITI) criteria. We have compared these scales and identified 14 criteria: authorship, ownership, currency, objectivity/content, transparency/source, interactivity, privacy/ethics, financial disclosure, navigability/links, complementarity, advertising policy, design, quantity, and accessibility. We integrated these criteria and introduced a new tool with 10 criteria. Conclusion: Website evaluation tools differ in their evaluation criteria and there is a lack of consensus about which to use; therefore, an integrated easy to use set of criteria is needed.
    Studies in health technology and informatics 01/2014; 205:895-899.
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    ABSTRACT: The aim of this study was to assess the classification accuracy of an e-Nose in detecting acute liver failure (ALF) in rats. Exhaled breath from 14 rats was repeatedly sampled by e-Nose (8 sensors) and an additional external CO2 sensor at three stages: healthy period; portacaval shunt; and during the development of ALF due to surgically induced complete liver ischemia. We performed principal component analysis (PCA) on the (grouped) sensor data in each stage and the classification accuracy of the first two principal components was assessed by the leave-one-out approach. In addition we performed gas chromatography-mass spectrometry (GC-MS) analysis of the exhaled breath from three rats. The first and second principal components from the PCA analysis of e-Nose data accounted for more than 95% variance in the data. Measurements in the ALF stage were contrasted with the measurements in the control stage. Leave-one-out validation showed classification accuracy of 96%. This accuracy was reached after 3h of ALF development, and was reached already after 2h when data of an external CO2 sensor were also included. GC-MS identified 2-butanol, 2-butanone, 2-pentanone and 1-propanol to be possibly elevated in the ALF stage. This is the first study to demonstrate that ALF in rats can be detected by e-Nose data analysis of the exhaled breath. Confirmation of these results in humans will be an important step forward in the non-invasive diagnosis of ALF.
    Biosensors & Bioelectronics 09/2013; 53C:129-134. · 6.45 Impact Factor
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    ABSTRACT: Polypharmacy, and specifically the use of multiple fall-risk-increasing drugs (FRID), have been associated with increased risk of falling in older age. However, it is not yet clear whether the known set of FRIDs can be extrapolated to recurrent fallers, since they form a distinct group of more vulnerable older persons with different characteristics. We aim to investigate which classes of medications are associated with recurrent falls in elderly patients visiting the Emergency Department (ED) after a fall. This study had a cross-sectional design and was conducted in the ED of an academic medical center. Patients who sustained a fall, 65 years or older, and who visited the ED between 2004 and 2010 were invited to fill in a validated fall questionnaire designed to assess patient and fall characteristics (CAREFALL Triage Instrument [CTI]). We translated self-reported medications to anatomical therapeutic chemical (ATC) codes (at the second level). Univariate logistic regression analysis was performed to explore the association between medication classes and the outcome parameter (recurrent fall). Multivariate logistic regression was used to assess the associations after adjustment to potential confounders. In total 2,258 patients participated in our study, of whom 39 % (873) had sustained two or more falls within the previous year. After adjustment for the potential confounders, drugs for acid-related disorders (adjusted odds ratio [aOR] 1.29; 95 % CI 1.03-1.60), analgesics (aOR 1.22; 95 % CI 1.06-1.41), anti-Parkinson drugs (aOR 1.59; 95 % CI 1.02-2.46), nasal preparations (aOR 1.49; 95 % CI 1.07-2.08), ophthalmologicals (aOR 1.51; 95 % CI 1.10-2.09); antipsychotics (aOR 2.21; 95 % CI 1.08-4.52), and antidepressants (aOR 1.64; 95 % CI 1.13-2.37) remained statistically significantly associated with an ED visit due to a recurrent fall. Known FRIDs, such as psychotropic drugs, also increase the risk of recurrent falls. However, we found four relatively new classes that showed significant association with recurrent falls. In part, these classes may act as markers of frailty and comorbidity, or they may reflect differences in the risk factors affecting the older, frailer population that tends to sustain recurrent falls. Further investigation is needed to elucidate causes and ways to prevent recurrent falls.
    Drugs & Aging 08/2013; · 2.50 Impact Factor
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    ABSTRACT: To analyze the influence of using mortality 1, 3, and 6 months after intensive care unit (ICU) admission instead of in-hospital mortality on the quality indicator standardized mortality ratio (SMR). A cohort study of 77,616 patients admitted to 44 Dutch mixed ICUs between 1 January 2008 and 1 July 2011. Four Acute Physiology and Chronic Health Evaluation (APACHE) IV models were customized to predict in-hospital mortality and mortality 1, 3, and 6 months after ICU admission. Models' performance, the SMR and associated SMR rank position of the ICUs were assessed by bootstrapping. The customized APACHE IV models can be used for prediction of in-hospital mortality as well as for mortality 1, 3, and 6 months after ICU admission. When SMR based on mortality 1, 3 or 6 months after ICU admission was used instead of in-hospital SMR, 23, 36, and 30 % of the ICUs, respectively, received a significantly different SMR. The percentages of patients discharged from ICU to another medical facility outside the hospital or to home had a significant influence on the difference in SMR rank position if mortality 1 month after ICU admission was used instead of in-hospital mortality. The SMR and SMR rank position of ICUs were significantly influenced by the chosen endpoint of follow-up. Case-mix-adjusted in-hospital mortality is still influenced by discharge policies, therefore SMR based on mortality at a fixed time point after ICU admission should preferably be used as a quality indicator for benchmarking purposes.
    European Journal of Intensive Care Medicine 08/2013; · 5.17 Impact Factor

Publication Stats

1k Citations
350.19 Total Impact Points

Institutions

  • 2002–2014
    • Academisch Medisch Centrum Universiteit van Amsterdam
      • • Department of Medical Informatics
      • • Academic Medical Center
      Amsterdamo, North Holland, Netherlands
  • 1991–2014
    • University of Amsterdam
      • Faculty of Medicine AMC
      Amsterdamo, North Holland, Netherlands
  • 2012
    • Kenya Centers for Disease Control and Prevention
      Winam, Kisumu, Kenya
    • Reinier de Graaf Groep
      Delft, South Holland, Netherlands
    • Academic Medical Center (AMC)
      Amsterdamo, North Holland, Netherlands
  • 2008–2009
    • University of Pavia
      Ticinum, Lombardy, Italy
    • Arizona State University
      • Department of Biomedical Informatics
      Mesa, AZ, United States