Management of Hospital Resources and Provider Workload
Our team at NC State University, along with our collaborators at Drexel University, has been working on integrating electronic health records (EHR) and clinical expertise to provide a framework to manage resources in a hospital. Specifically, we look at ways of efficiently redistributing hospital staff and routing patients to wards while ensuring that the workload experienced by the providers and staff is efficiently managed.
A Simulation Mode to assess the impacts of various interventions for colorectal cancer screening at the population level
Colorectal Cancer (CRC) is an example of a largely preventable condition, if access to and use of healthcare is increased. Along with collaborators at UNC Chapel Hill and Oregon Health & Science University (OHSU), we use an individual-based discrete-event simulation model to estimate the impact of various public policies on CRC screening at a population level.
Jail Diversion Programs for Persons Suffering from Mental Illnesses
In a mental health crisis, individuals are more likely to encounter police than get medical help. A vast majority of such individuals are not violent criminals – most people in jails are have not yet gone to trial, so they are not yet convicted of a crime. Once in jail, many individuals don’t receive the treatment they need and end up getting worse, not better. In collaboration with Treatment Advocacy Center, we work on creating simulation models that inform mental health officials regarding the necessary interventions that need to be taken in order to reduce patient wait times, thus having a direct impact of long-term mental health of the patient. You can read more about this here.
Sequential Assignment Under Uncertainty
The stochastic sequential assignment problem (SSAP), studies the allocation of available distinct workers with deterministic values to sequentially-arriving tasks with stochastic parameters so as to maximize the expected total reward obtained from the assignments. The goal is to find a balance between the frameworks of exploration vs exploitation. During the course of my time at the University at Buffalo, I worked on a several variations of this problem.
Social Network Analysis
Social Network Analysis research studies the behavior of individuals embedded in social networks, and the how structure of such networks affect socio-economic events and processes. The field of SNA was the first step in my academic career in Operations Research. In Feb 2014, I attended a conference in St. Petersburg, FL of International Network for Social Network Analysis which gave me an amazing insight into the world of Social Network Analysis. The work I have done in this field is primarily introductory and include the following.
- Attempted to bridge the gap between Exponential Random Graph modeling (ERGM) and Longitudinal Network Formation modeling. The project also attempted at overcoming some fundamental challenges of ERGMs – including the issue of degeneracy.
- Assisted with a project involved in the studying of user-engagement patterns in an Online Health Social Network (smoking cessation forum) in order to develop a framework for prescriptive applied research.