Maryann Roebuck

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  • in reply to: Discussion 4 (DTDS22) #10671
    Maryann Roebuck
    Participant

    I’ve used Box and Whisker plots in my graduate studies but not in the workplace. For analyzing large datasets, they’re helpful for identifying outliers and/or skewness of data.

    in reply to: Discussion 3 (DTDS22) #10652
    Maryann Roebuck
    Participant

    I would choose a horizontal bar graph for ranking. When looking at claims by service category, Curative Care Visits would be the most frequent (for both zones). Speech Therapy would be the least frequent in the Northern Zone. The least frequent service category would be Inpatient Obstetrics and Inpatient Medical for the Eastern Zone.

    in reply to: Discussion 2 (DTDS22) #10602
    Maryann Roebuck
    Participant

    My vote for all three of these would be a line graph – showing trends over time.

    in reply to: Discussion 1 (DTDS22) #10581
    Maryann Roebuck
    Participant

    Hi Everyone, From reading the WHO article, it seems like the Mpilo Central Hospital dashboard was developed in a format that responded to the information needs of the organization, highlighted how the organization was measuring up against some targets, and was actually used to inform decisions. In this way, I feel like it is really a dashboard, according to Stephen Few’s article. At first glance, the dashboard just looks like a data table so perhaps it’s not the most visually-simple or visually-appeasing dashboard out there. However, it displays important information on one screen, that can be interpreted fairly easily, particularly because of the addition of targets and also the red, yellow, green light system. The section, “Changes after introducing maternity dashboards” is the part that really convinced me – the organization was able to monitor the data more efficiently than previously. And they used the dashboards to identify areas that needed change and then to implement changes. I’m interested to hear what others think.

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