Achieve commercial success with a clinically validated solution that clinicians and patients will use.
“Being a clinical expert subject matter, it was apparent that he was one of those unique individuals that was able to couple clinical outcomes with health system workflows and business challenges. In addition, Erkan supported the studies protocols design of various product capabilities.”
Every innovation is built on a foundation of a thousand failures.
Even with technical and functional superiority, innovative healthcare technologies may repeatedly fail without effective clinical validation and workflow modifications.
Effective evaluation and execution starts with valid study design through interpretation of metrics and results in integrated solutions which demonstrably improves clinical workflows.
Dr. Hassan specializes in applying the right mix of clinical expertise, health transformation, innovative technologies, business leadership and collaboration for improved performance and outcomes.
proven clinical EVALUATION and execution include
Algorithm delineating ultimate mortality at hour 6 of admission
ICU risk model evaluation of mortality
Algorithm predictive of cardiovascular and/or respiratory deterioration
Modified early warning score predicting floor deterioration
Validation of sepsis screening tool
Clinical workflow to improve stress ulcer prophylaxis best practice
Best practice adherence evaluation
Managed $8 million innovative research program
Delivering Results.
Decreased variability in use of best practices and early predictability of clinical deterioration or risk of mortality.
Hassan E, Liu X. Prospective Evaluation of early Glasgow Coma Score (GCS) on ICU mortality predictability. 49th Society of Critical Care Medicine Congress. 2019. Critical Care Medicine 2020; 48 (1):354.
Hassan E, Liu X, Badawi O, Swami S. Correlation of a delta automated severity score at 6 hours post-ICU admission to delineate mortality. 48th Society of Critical Care Medicine Congress (A 329). Critical Care Medicine 47 (12);2018
Swami S, Liu X, Hassan E, Badawi O. Validating and recalibrating discharge readiness score algorithm in electronic health record data. 48th Society of Critical Care Medicine Congress (A 355). Critical Care Medicine 47 (12);2018
Liu X, Hassan E, Badawi O, Swami S. Should ICU’s recalibrate aggregated prediction model? 48th Society of Critical Care Medicine Congress (A 334). Critical Care Medicine 47 (12);2018
Badawi O, Liu X, Hassan E, Swami S. Changes in prevalence, severity of illness, and mortality of sepsis admissions between 2008 and 2015. 47th Society of Critical Care Medicine Congress. Critical Care Medicine 46(Suppl 1): A1416:2018.
Badawi O, Liu X, Hassan E, et al. Evaluation of ICU risk models adapted for use as continuous markers of severity of illness throughout the ICU stay. Critical Care Medicine. 2018;46(3):361-367.
Patents
A methodology for hospitalized patient monitoring and ICU risk prediction with a physiologic based early warning system. (2013)
System to identify increased risk of clinical intervention in continuously monitored patients (2016).