Workflow Automation for a Virtual Hypertension Management Program
| Autor: | Alexander J Blood, Corey Glynn, Shawn N. Murphy, Benjamin M. Scirica, Kira Chaney, Charlotte Mailly, Kavishwar B. Wagholikar, Michael Oates, Samantha Subramaniam, John St. Laurent, Marian McPartlin, Hunter Nichols, Remlee Green, William J. Gordon, Eugene Clark, Matthew Varugheese, Samuel J. Aronson |
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| Rok vydání: | 2021 |
| Předmět: |
Process management
workflow automation Computer science Process (engineering) Health information technology Health Informatics Customer relationship management Workflow Task (project management) customer relationship management Automation Health Information Management Phone Electronic Health Records Humans Flexibility (engineering) business.industry Computer Science Applications Special Section on Workflow Automation blood pressure monitoring Hypertension clinical innovation business Medical Informatics |
| Zdroj: | Applied Clinical Informatics |
| ISSN: | 1869-0327 |
| DOI: | 10.1055/s-0041-1739195 |
| Popis: | Objectives Hypertension is a modifiable risk factor for numerous comorbidities and treating hypertension can greatly improve health outcomes. We sought to increase the efficiency of a virtual hypertension management program through workflow automation processes. Methods We developed a customer relationship management (CRM) solution at our institution for the purpose of improving processes and workflow for a virtual hypertension management program and describe here the development, implementation, and initial experience of this CRM system. Results Notable system features include task automation, patient data capture, multi-channel communication, integration with our electronic health record (EHR), and device integration (for blood pressure cuffs). In the five stages of our program (intake and eligibility screening, enrollment, device configuration/setup, medication titration, and maintenance), we describe some of the key process improvements and workflow automations that are enabled using our CRM platform, like automatic reminders to capture blood pressure data and present these data to our clinical team when ready for clinical decision making. We also describe key limitations of CRM, like balancing out-of-the-box functionality with development flexibility. Among our first group of referred patients, 76% (39/51) preferred email as their communication method, 26/51 (51%) were able to enroll electronically, and 63% of those enrolled (32/51) were able to transmit blood pressure data without phone support. Conclusion A CRM platform could improve clinical processes through multiple pathways, including workflow automation, multi-channel communication, and device integration. Future work will examine the operational improvements of this health information technology solution as well as assess clinical outcomes. |
| Databáze: | OpenAIRE |
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