Dr. Singwi, an anesthetist from HHCC has started an app. MDPhD is an artificial intelligence-enabled, big data, evidence-based medicine tool for mobile devices. It is designed to help health professionals translate clinical research to the bedside, help hospitals with quality improvement, guidelines and protocols and to help patients with high quality, high value care from their teams.
Learn more or download MDPhD on your mobile device.
University of Waterloo
We are working with the University of Waterloo to better understand what new opportunities are available to partner in the creation of digital tools to enhance business intelligence.
A graduate student in the Master of Health Informatics Program
, along with our Decision Support team, is looking at how we can strengthen our business intelligence with all the information we gather within the hospital. The student is developing standardized reports and corporate dashboards using analytical software tools that take our information and establish trends. This will transition our data from manual inputs to digital forecasts that we can use to provide even better care.
University of Guelph
The University of Guelph has started an inventory and analysis of our Friendship Gardens. Landscape architect students are developing design recommendations for what we can do with our grounds from Rolling Hills down to the circular driveway for improvements in soil, plants, shrubs and trees now and into the future.
The plan is to make the Gardens an environmental area that requires no irrigation system and little to no mowing. The area will allow patients, families, volunteers and staff to sit, play games or walk. The students will also be looking at how the Gardens can be wheelchair accessible.
HHCC is participating in a study, lead by the University of Ottawa, involving 13 hospitals across the province. The goal of the study is better early identification of patients who may benefit from a palliative approach to care.
One of the most important obstacles to improving end-of-life care is the inability of clinicians to reliably identify those with unmet palliative needs who are approaching the end-of-life. Every aspect of a palliative approach (e.g., controlling symptoms, discussing goals of care, developing a discharge plan) depends on the identification of patients with palliative needs.
The mHOMR tool has been developed to identify admitted patients at elevated risk of death in the coming 12 months. The tool uses administrative data available in a patient’s electronic record at the time of admission. If a patient is at risk, a message is sent to their clinical team prompting them to assess and address unmet palliative needs.
This study will be assessing the implementation of the mHOMR tool in 13 hospitals across the province, including HHCC, and its integration into existing care processes to ensure timely and reliable screening and treatment of unmet palliative needs.