Singh, David
(2024)
Creating Clinical Tools with Programmatic Data To Improve Clinical Operations.
Master Essay, University of Pittsburgh.
Abstract
Implementing practical new tools within the healthcare industry depends on understanding the operations and problem you are trying to solve, which, in tangent, could either improve or hurt clinical operations. Healthcare has seen increased demand, causing workflows to become congested with missed opportunities to recapture revenue and mismanage stakeholders. Throughout my time at the University of Pittsburgh Medical Center (UPMC) Department of Medicine, I was allowed to create three clinical tools containing programmatic data and multiple stakeholders' input. These three clinical tools improved clinical operations and my understanding of how a large department within an academic medical center functioned on all levels, spanning the course of over 100 outpatient clinics throughout Western Pennsylvania. These three projects addressed the creation of an unbilled encounters dashboard to help recapture the billing efforts for our providers from their patients’ encounters. This scorecard tracks the productivity of division-specific schedulers, which led to the creation of multiple division-wide scorecards and Microsoft PowerApps to help capture the number of dialysis encounters within our outpatient dialysis centers. These three projects improved clinical operations and enhanced the workflow of specific stakeholders, such as our providers and schedulers.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
Other Thesis, Dissertation, or Long Paper
(Master Essay)
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| Contributors: |
| Contribution | Contributors Name | Email | Pitt Username | ORCID  |
|---|
| Committee Chair | Broom, Kevin | kevinbroom@pitt.edu | kevinbroom | UNSPECIFIED | | Committee Member | Fisher, Daniel | dfisher@pitt.edu | dfisher | UNSPECIFIED | | Committee Member | Radulovich, Nichole | radulovichn@upmc.edu | radulovichn | UNSPECIFIED |
|
| Date: |
13 May 2024 |
| Date Type: |
Completion |
| Number of Pages: |
37 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Public Health > Health Policy & Management |
| Degree: |
MHA - Master of Health Administration |
| Thesis Type: |
Master Essay |
| Refereed: |
Yes |
| Date Deposited: |
13 May 2024 19:43 |
| Last Modified: |
13 May 2024 19:43 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46272 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}