A Decision Support System for Managing Uncertainty in the Delivery of Palliative Care in the Community
Proceedings of the 2022 Pre-ICIS SIGDSA Symposium. Heavin, Ciara; Leahy, Helen; Kiely, Fiona; and Tarim, S. Armagan.
Our philosophy is that caregiver experience and intuition is irreplaceable, but there are often factors which can limit their ability to deliver care in the way they would think is ideal.
CommPAL leverages AI and ML technology to help where it is needed, and lets you focus on the rest. Our goal is to support decision making & resource management with the goal of delivering better quality care. We work alongside existing systems to complements each CNS unique approach to their day.
We believe CNS deliver the best level of care when they act independently, armed with as much useful & relevant information as possible.
Significant time is spent each developing a caseload and adapting to changing circumstances. We believe we can make this process much easier
Our app will accompany your day on the move, providing route recommendations based on your decisions.
No matter how you decide to do your assessments, CommPAL will streamline the process and ensure robust, high quality data is always submitted.
By reducing the time spent on tedious activities, we can allow better, more precise care & more satisfactory conditions for both careworker and patient.
CommPAL aims to support decision making. Our recommendations are never binding - CNS will always make the final decision on what works best for them.
We are a multidisciplinary group of individuals who are passionate about digital healthcare.
Investigator
CommPALSenior Software Engineer
CommPALMachine Learning Postdoctoral researcher
CommPALProject Manager / QMS
CommPALCommercial Advisor
CommPALCollaborator
CommPALWe have worked with diverse groups including academics, healthcare workers and palliative care patient advocates to better understand how specialist palliative care is delivered in a community setting. Our research reveals that the system is often hindered by the availability of limited resources, difficult workflows, and poor data.
Proceedings of the 2022 Pre-ICIS SIGDSA Symposium. Heavin, Ciara; Leahy, Helen; Kiely, Fiona; and Tarim, S. Armagan.
AMCIS 2020 Proceedings. 13. Kupper, Mateusz; Tarim, S. Armagan; Heavin, Ciara; and Kiely, Fiona.
2nd World Conference on Explainable Artificial Intelligence 2024. Lotfivand, N., Dillon, B., Lynch, L., Leahy, H., Kiely, F., Heavin, C.
Open Conference of the IFIP WG 8.3 Decision Support 2024. Lotfivand, N., Dillon, B., Lynch, Heavin, .
Feel free to get in touch to learn more about CommPAL, our journey, and how we might be able to assist your organisation in your journey towards delivering better quality care.
If you have anything else you want to ask, reach out to us.
In short, CommPAL is a web and mobile platform aimed at healthcare workers who are strained for time related to their daily travel, planning and resource management.
Glad you asked! Detailed info on our work so far will be added to this site soon.
CommPAL is FHIR compliant, so we uphold many standards needed for secure, seemlesss integration.
Absolutely not. CommPAL only stored data that is necessary for the app to function. Any further processing of data that we do will be completely anonymised - we publish this data in our Privacy Notice, updated regularly.
No - we display the mimimum amount of patient data on our client. Only that which is necessary to complete a days caseload.
During our integration phase, we spend time working clients to determine what features works best.