A technology-based quality innovation to identify undiagnosed hypertension among active primary care patients

…, RE Ross, A Robicsek, CW Konchak… - The Annals of Family …, 2014 - Annals Family Med
PURPOSE The goal of this study was to develop a technology-based strategy to identify
patients with undiagnosed hypertension in 23 primary care practices and integrate this …

From testing to decision-making: A data-driven analytics COVID-19 response

CW Konchak, J Krive, L Au, D Chertok… - Academic …, 2021 - journals.sagepub.com
In March 2020, NorthShore University Health System laboratories mobilized to develop and
validate polymerase chain reaction based testing for detection of SARS-CoV-2. Using …

Artificial intelligence and machine learning in pathology: the present landscape of supervised methods

HH Rashidi, NK Tran, EV Betts… - Academic …, 2019 - journals.sagepub.com
Increased interest in the opportunities provided by artificial intelligence and machine learning
has spawned a new field of health-care research. The new tools under development are …

The value and institutional impact of an in-system laboratory testing during the COVID-19 pandemic

K Kaul, K Singh, L Sabatini, C Konchak… - Academic …, 2021 - journals.sagepub.com
In-system clinical laboratories have proven themselves to be a fundamentally important
resource to their institutions during the COVID-19 pandemic of the past year. The ability to …

Integrating social determinants of health and laboratory data: a pilot study to evaluate co-use of opioids and benzodiazepines

JS Warrington, N Lovejoy, J Brandon… - Academic …, 2019 - journals.sagepub.com
As the opioid crisis continues to have devastating consequences for our communities,
families, and patients, innovative approaches are necessary to augment clinical care and the …

[HTML][HTML] Clinical Analytics Prediction Engine (CAPE): development, electronic health record integration and prospective validation of hospital mortality, 180-day …

N Shah, C Konchak, D Chertok, L Au, A Kozlov… - PLoS …, 2020 - journals.plos.org
Background Numerous predictive models in the literature stratify patients by risk of mortality
and readmission. Few prediction models have been developed to optimize impact while …

[HTML][HTML] An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system

D Chertok, C Konchak, N Shah, K Singh, L Au… - Plos one, 2021 - journals.plos.org
An operationally implementable predictive model has been developed to forecast the
number of COVID-19 infections in the patient population, hospital floor and ICU censuses, …

Emergency department bounceback characteristics for patients diagnosed with COVID-19

…, U Ravichadran, A Maric, S Donlan, C Konchak… - The American Journal of …, 2021 - Elsevier
Background The global healthcare burden of COVID-19 continues to rise. There is currently
limited information regarding the disease progression and the need for hospitalizations in …

Quality improvement intervention for reduction of redundant testing

AM Ducatman, DH Tacker, BS Ducatman… - Academic …, 2017 - journals.sagepub.com
Laboratory data are critical to analyzing and improving clinical quality. In the setting of residual
use of creatine kinase M and B isoenzyme testing for myocardial infarction, we assessed …

Evaluating primary care physician performance in diabetes glucose control

…, LK Billings, B Barrios, C Konchak… - American Journal of …, 2016 - journals.sagepub.com
This study demonstrates that it is possible to identify primary care physicians (PCPs) who
perform better or worse than expected in managing diabetes. Study subjects were 14 033 adult …