Medical institutions normally have to contend with rising operating costs and quality challenges. To minimize wastage and promote cost savings, without comprising the quality of health care, medical facilities need to implement efficient and cost-effective management practices.
Without advanced data analytics, it can be a daunting task to identify what to standardize in the implementation of custom procedure trays. Namely, a single procedure tray can contain up to 60 items. With data analytics, you will be able to envisage variations in custom procedure trays. Consequently, you’ll quickly identify opportunities to standardize in a bid to minimize waste and save costs, without compromising the quality of health care. You can employ data analytics to set inventory levels according to the history of utilization. Likewise, you can capitalize on technology to replace tray components with cost-efficient, but clinically equivalent products. To make cost savings in a sustainable way, you need to analyze the supply costs used in both, procedure trays and off-the-shelf items that may have been added to the tray. The figure you get is the actual procedural cost. This gives you an accurate baseline of overall supply cost of every procedure. With this, you will be able to make informed decisions on standardizing custom procedure trays in order to reduce costs and variations. While some procedure trays come with unnecessary items, others may come without some needed items. In the light of this, you need to gather and present data regarding the number of delays as well as the number of patient outcomes occasioned by a missing product or wrong supplies. When you perform root cause analyses on defects associated with products and supplies, the root cause can normally be traced to a number of vendors, brands, or types of the same item or supply. Armed with this information, you can standardize your custom procedure trays to prevent recurrence of such defects.
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Perform Root Cause Analysis