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One Solution for Inaccurate Data-driven Decisions in Healthcare

by | Jun 22, 2022 | All Posts

Making inaccurate data-driven decisions in any industry can introduce troublesome and frustrating issues. In healthcare, these problems can become dangerous or even life-threatening. When looking for a solution to inaccurate data-driven decisions, it’s best to look at the root cause: improper data collection. By sorting this out, the data will be stronger and conducive to decision making in healthcare, leading to a healthier and safer industry. Let’s look at an example of outdated data collection that’s connected to obsolete technology in healthcare.

An Important Example of Inaccurate Data Collection

Inaccurate or cumbersome ways of collecting data affects the decision-making process in healthcare. An example of this is a fictional hospital system having issues with their recording methods of their personal protective equipment (PPE) data. This hospital wanted records of every time nurses and other care providers washed their hands and changed their PPE in the Trauma ICU. Currently, they recorded each hand wash and PPE change by tallying on a piece of paper. A team member would walk 20 minutes to the hospital’s office and manually input the data into the system. The personnel would walk 20 minutes back to the hospital and the process would begin again.

Recording on paper and then translating it into a computer system wastes time. It leaves the original data fragmented instead of recorded in a centralized system or database. Because of the manual recording, data can be erroneous and redundant. The personnel recording information in the digital system not only has to centralize the data, but sift through repeated information as well. With a 40 minute round trip, this adds even more time onto the personnel’s schedule. Time and human capital is wasted on this inaccurate and cumbersome method. This inefficient method promotes inaccurate data-driven decisions, leading to anything from small, but problematic, errors to life-threatening or fatal occurrences. How can the hospital system solve this?

A Solution to Prevent Inaccurate Data-driven Decisions

A general solution to the hospital’s data collection is digital transformation of the hospital’s systems. By partnering with a software development agency, the hospital builds an application that allows care providers to record the hand washes and PPE changes with the touch of a digital button. This info is documented automatically into the system. Not only do employees not need to tally on paper; they don’t need to travel 40 minutes to an office to manually input the data. Less time and provider skills are wasted. Care providers can focus on the patients and providing them the best care, rather than recording data. 

Digital transformation puts the data into a central system, leaving no need to search through redundant data or collect fragmented records together. With the data more accessible, hospital officials can make data-driven decisions quicker and more efficiently. More exact data leads to decisions supported by stronger evidence. This hospital creates a safer and more productive environment by limiting inaccurate data-driven decisions, all thanks to implementing digital transformation into their software systems.

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