The document discusses using robotic process automation (RPA) to address problems in patient access, scheduling, and registration. Key issues that RPA can help with include incorrect patient data collection costing up to $2,000 per patient, duplicate patient records resulting in average additional costs of $1950 per inpatient stay, and 33% of denied claims stemming from inaccurate patient identification costing hospitals $1.5 million annually. The document advocates for switching to RPA automation to help address these problems and inefficiencies.

1. Removing Problem
Areas of Patient
access, Scheduling
and Registration
using RPA.
Why switch to
Automation now?
1
Incorrect patient data
collection
Patient ID mistakes and gathering incorrect data
can cost up to $2,000 per patient.
2
Duplication of
records
Duplicate records and repeated medical care
cost an average of $1950 per patient per
inpatient stay and over $800 per ED visit,
according to a Black Book survey of 1392 health
technology managers.
4
Data Segregation and
clean up delay
Hospitals with over 150 beds and hundreds of
thousands of patient records, the average data
clean-up per organization averages longer than
5 months.
The awareness of the likely ROI in robotic
process automation is developing.
Considering that 66% of patients would switch
provisions for more automated access.
40% of all healthcare organizations and
professionals have possibly started to explore
incorporating RPA inside their revenue cycle
management.
Work on a wide range of patient tasks, from
pre-enrollment to payments with RPA.
3
Increased rate of
claim denial
33 percent of all denied claims are a result of
inaccurate patient identification or incorrect
information. Claims denied for these reasons
cost the average hospital $1.5 million in 2017
and the US healthcare system over $6 billion
annually.
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03
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$2,000
$1950
$1.5
5 Months
40%
66%