Yale Univ - U.S. Constitutional Law Cert - VPS 2014
PH555x - Improving Global Health with Quality PCP Workflow
1. Course: PH555x – Improving Global Health: Focusing on Quality and Safety
Applying System Design and Management Methods for Improving
Primary Care Physician (PCP) task workflow
By Venkatesan ‘PRASAD’ Sundararajan
Background: An understanding of the clinical workflow is a prerequisite for improving the quality of care and the
potential to reduce the cost of healthcare. In the BMJ Qual Saf 2012 paper titled “Development of a primary care
physician task list to evaluate clinic visit workflow”, Tosha B Wetterneck, et.al., identified a validated task list of 12
major tasks. The purpose of this paper is to develop a visual representation that clarifies the relationships between the
domains of PCP workflow major task-list and the elements of the PCP organization applying the system design and
management (SDM) method, a Domain Mapping Matrix (DMM). This allows application of PCP workflow as a standard
protocol.
Methods: The Domain Mapping Matrix (DMM) is a rectangular (m x n) matrix that shows the relationship between
two domains with the resulting identified clusters indicating where an intense coordination across domains exist.
Results: Based on the PCP workflow task list developed by Tosha B Wetterneck, et.al, the two domains of the DMM
developed consists of (1) PCP workflow major task list and (2) Elements of the PCP organization. The first domain
comprised of 12 major tasks and the second domain comprised of 25 elements. Six major clusters were identified
based on the DMM.
Conclusions: The Domain Mapping Matrix (DMM) developed for the PCP workflow can be applied as a standard
protocol where the Electronic Health Record (EHR) and Nursing Notes play a pivotal role as clusters that can be
adopted for changes required due to individual PCP organizational needs. Patient information, Medical intervention,
Specialist referral/ prescription & test order and communication between the PCP and patient are the four additional
clusters identified.