With the right data analytics software, you can be sure that all your data entry will yield timely, relevant, and actionable information.
A recent opinion piece in the New York Post by former New York Lt. Gov. Betsy McCaughey claimed:
[S]ome electronic health-record systems require 62 clicks just to order Tylenol, and a full ER shift involves 4,000 clicks.
McCaughey compared the resultant “click fatigue” to driving while texting, and argued that it’s not necessarily any less dangerous.
And, Dr. Atul Gawande, a surgeon at Brigham and Women’s Hospital in Boston and an author, recently wrote on “Why Doctors Hate Their Computers” for The New Yorker. He said:
Something’s gone terribly wrong. Doctors are among the most technology-avid people in society; computerization has simplified tasks in many industries. Yet somehow we’ve reached a point where people in the medical profession actively, viscerally, volubly hate their computers […]
Doctors resent the amount of data entry they have to perform. It can lead to doctor burnout, which in turn can impact patient safety and satisfaction. According to one recent study, 70 percent of doctors using EHRs attribute the bulk of their administrative burden to the software.
Is there any relief in sight?
HCOs are investing heavily in their EHRs, hoping to put everything they need under one umbrella. Yet they still struggle to obtain the timely, relevant, and actionable information they need to monitor and improve performance. Why do these “data rich, information poor” EHR systems come up short, and why does much of the data’s value remain untapped?
Three main reasons are:
- EHRs are not designed for data analytics. There is a big difference between a transactional database, which is what EHRs are designed to be, and an analytics data warehouse. Just because EHRs collect and store data doesn’t mean that data is ready to be used for analytics. Even moving EHR data into a data warehouse is only the beginning of data’s journey to becoming analytical-grade.
- EHR data alone can only tell you part of the story. To get a 360-degree view of any issue you are hoping to better understand and manage, you need to integrate EHR data with data from other source systems. Just loading data from these other source systems alongside EHR data in a warehouse is just the beginning of data’s journey to becoming analytical-grade. Disparate data must then be harmonized and curated to ensure semantic integrity and to support specific analytic use cases.
- Most analytics solutions are not purpose-built. Once you have all the data you need in a data warehouse, a specialist is required to transform it into actionable information with a purpose. Just as you would expect a neurosurgeon to be focused on their specialty and have expertise and tools that are specific to their profession, developing purpose-built analytics for various medical specialties also requires dedication and specific experience and tools.
While the number of clicks it takes to place a lab order might not go down in the near future, you can position your organization to benefit from all the patient data being entered by providers.
If you want to transform all your data into the asset that you keep hearing it is supposed to be, talk with d2i. Beat click fatigue by giving physicians something valuable in return – timely, relevant, and actionable information. Our specialists have dedicated themselves to transforming data from a wide range of sources and can integrate and enrich your EHR, billing, scheduling, and patient satisfaction data to provide you purpose-built “storyboards” about a metric’s performance.