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HOW TO OPTIMIZE YOUR CLINICAL WORKFLOWS FOR PATIENT CARE IMPROVEMENTS WITH DATA

 

Clinical workflows play a critical role in the delivery of high-quality patient
care. But time-to-insight for improvement projects is often slow-moving because
finding answers or accessing data is a long process.

It doesn't have to be this way. By asking the right questions, putting the right
tools in place, and committing to implementing your new ideas, you can
streamline your clinical workflows and provide better care to your patients with
data at the center of performance and quality improvement projects.




STEP ONE


AUDIT YOUR CURRENT CLINICAL WORKFLOWS

Taking the time to identify inefficiencies and bottlenecks that are holding you
back will lay the groundwork for making an impactful process improvement. It’s
no secret that the industry as a whole has been in a whirlwind of adaptation and
quick innovation–especially throughout the last three years. However, noticing
the overall pain points of your organization’s clinical workflows can greatly
affect the health system at large. 

To get started, select a topic. Popular audit topics fall into the realms of
procedures, treatments, and overall investigations. Anytime there is a patient
journey through departments of a health system, there is an opportunity to
improve the quality of the care they receive.

After the topic has been selected, it’s key to have team members on board to
assist in setting the goal of what you are aiming to achieve. It is also
important to determine the objectives and the standards that are put in place
through the organization's code of ethics and values of care which have been
long established.




STEP TWO


EMPOWER YOUR TEAMS

Once your team is established, they will begin sampling and collecting data that
aligns with the goals and objectives. This is where abiding by the code of
ethics will play an important role. As we all know, patient privacy is extremely
important. However, we also know that IT departments are swamped, and by the
time you get your data set back from your original query, more information has
most likely been discovered which means you have to resubmit the data request.
This process takes time, but it doesn’t have to be as long as it has been for
the past few decades. When there is technology in place leading you to answers
faster without sacrificing patient privacy or data quality, the efficiency of
quality and performance improvement can accelerate. 

Good clinical workflows are all about working together as a team. Foster a
culture of collaboration and encourage regular communication between team
members. This also includes enabling your professionals to do their jobs and
empowering them to utilize tools (and data) to do the job well. By setting them
up for success as a team, and as an individual, you will cover more ground to
ask more questions, discover more insights, and act on implementing improved
workflows to better serve your patients.




STEP THREE


EMBRACE TECHNOLOGICAL SOLUTIONS FOR SUPPORT

So, how do you empower your teams to ask questions and collect data to support
your audit project when they have to depend on so many other professionals and
teams to find answers?

Technology is a powerful tool that can help you work smarter, not harder. There
is software for just about anything and leveraging the latest tools and
technologies can make life easier for your audit and for overall healthcare
professionals within the organization, too.

An example of this would be a software platform that allows any user—with or
without a technical background of data analysis—to ask questions and form
queries to support a hypothesis while being flexible enough to organically
change and adapt as the project takes its shape. The same software would also
have high enough security to safeguard patient privacy, as well as access data
across multiple departments of the health system, and even integrate with third
parties.

MDClone’s ADAMS Platform does just that. By creating synthetic data based on
real patient populations within the health system’s data lake, a sandbox is
created to allow healthcare professionals the ability to search and build upon
their ideations. 



To learn more about synthetic data and why it is replacing the traditional
de-identified data methodologies across the globe, check out our eBook:
The Ultimate Guide to Synthetic Data →


STEP FOUR


ELIMINATE INEFFICIENCIES

Once you have a clear understanding of the challenges you're facing, it's time
to eliminate inefficiencies, simplify procedures, and make life easier for your
healthcare professionals. Having data-backed points that support your
improvement of your audit topic will help in your presentation for change, and
will support the facts needed to apply for funding, create implementation plans,
and integrate improvements into your system. With more time for healthier
patients and less time for staff frustration, you'll see an immediate impact in
the quality of care you provide.




STEP FIVE


MEASURE & EVALUATE PROCESSES (REGULARLY)

Last, but certainly not least, is measuring your outcomes. Continuously monitor
and evaluate your new and improved clinical workflows. Seek feedback, track key
metrics, and make regular adjustments as needed. Quality and process improvement
are living, ever-changing workflows that need to be evaluated consistently. By
designating time, making quality and performance improvement a priority, and
putting findings into meaningful action, you can ensure that your patients
receive the best possible care.



Data can accelerate improvements

Streamlining clinical workflows is an ongoing process that requires a commitment
to improvement and a willingness to embrace change. Data, and easier access to
data, can help build a continuous learning system with healthcare staff seeking
answers to improved processes. Technology can help, but healthcare staff are the
ones who will power change.

The benefits are clear: healthier patients, happier healthcare professionals,
and a better-functioning healthcare organization.



 
Synthetic DataJenna CardaFebruary 15, 2023patient care, QI/PI, synthetic data,
real-world data
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