Drilling Down into the Medical Dashboard
In this medical dashboard example we have opened up a table of specific and relevant data. We are looking at the mortality stats for 35-44 year old Men of Asian or Pacific Islander ethnicity. The columns have been sorted to count down from the cause of the most deaths to the least. This is the "View Details" tool. It can be extremely helpful when trying to take a granular approach to data-understanding, allowing broad to specific data questions to be asked and answered by customized tables containing only relevant data. In a few seconds of scanning this table we should notice that different malignant neoplasms constitute the majority of cancer deaths, an insight much more difficult to render from looking at whole data sets.
From an administrative standpoint having this enormous and homogenized access to patient information is a boon in creating better patient care and saving hospital operation costs. When an individual's habits, disease symptoms, patterns of progression, and treatments are organized by relationship, effective treatment can be standardized at the same time as developing tailored patient treatment programs. The a medical dashboard visualization can act as a data hub that monitors heart rate, oxygen levels, treatment response, and more. With powerful BI tools, caretakers can develop early warning systems to alert necessary staff to subtle patterns that indicate health degradation before serious symptoms and crises occur.
In this image we see brushing being used. A brushing highlights in red the object a user wants to dial into and focus on. The irrelevant information is washed out into gray and only the brushed information is visualized and can be interacted with. Brushing is not limited to a single measure or dimension, four in this arrangement have been put on display. We can visually aggregate their import and variety of import across age limits.
When treating complex diseases that require multiple phases, different medications, and particular patient responses, brushing could be an invaluable tool for predictive analysis. By brushing a dashboard with multiple charts and KPI's the dashboard will be able to communicate how one change in treatment affects the rest of vital stats.
If a caregiver brushes a medicine on a dashboard built to display broad patterns of diseases treatment and responses, they will be highlighting how the treatment side effects would modify the overall condition of their particular patient. Seeing how a medicine might affect a patient is much preferable to administering it and reacting to negative side affects.