5 Top Robotic Process Automation Solutions In Healthcare

We analyzed 186 robotic process automation solutions in healthcare. FeatSystems, EnterBridge, T-impact, CloudMedx & Element5 develop 5 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for the healthcare industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 5 promising Robotic Process Automation (RPA) solutions.

Heat Map: 5 Top Robotic Process Automation Solutions In Healthcare

For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 186 relevant solutions. Depending on your specific needs, your top picks might look entirely different.

 

RPA_in_Healthcare_Heatmap_-_StartUs-Insights

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Which startups develop the other 181 solutions?

 

FeatSystems – Appointment Scheduling

In healthcare, Robotic process automation enables automated appointment scheduling in clinics and hospitals. Healthcare RPA solutions use Artificial Intelligence (AI) to analyze the most convenient time, cost, location, doctor availability and other issues when booking appointments for patients. Indian startup FeatSystems sends automated notifications to the patients when their appointment is canceled or when doctors are away performing surgery. They also offer services like widget integration and medical database management.

EnterBridge – Insurance Claims Management

Managing insurance claims are usually filled with errors and can quickly become time-consuming. RPA in insurance claims management makes this process easier as the robots fill the data in compliance with regulations, deal with appeals and monitor the entire process. US-based startup EnterBridge focuses on achieving optimal automation levels for filling insurance data, automating and speeding up enrolment and processing claims, thereby optimizing time spent by payers and providers. They ensure that suppliers are offering them fair prices for their capital equipment purchases. The time needed for capital equipment sourcing analysis is reduced from weeks to hours with increased transparency in market prices.

T-impact – Hospital Management

RPA enables efficient hospital management by optimizing administrative processes and revenue cycle management. Moreover, it lowers the time for transportation of blood or organs, makes disinfecting efficient, and synchronizes schedules for surgeries and other medical procedures. British startup T-impact offers a healthcare RPA solution for assisting doctors during surgeries. It provides key instructions, recommendations, and common warnings to improve surgery outcomes.

Element5 – Hospital Workflow Automation

Most of the medical data is unstructured. Healthcare RPA solutions combine data extraction, file classification, and information reduction to make sense of this data. Startups use RPA to create point-and-click systems that find the right medical data, enabling healthcare professionals to make the right decisions on time. US-based startup Element5 offers RPA for home-health and senior living agencies. The startup’s platform uses workflow automation to provide automation-as-a-service and reduce time spent on complex and repetitive tasks.

CloudMedx – Optimal Care Delivery

RPA can increase the accuracy and speed of optimal care delivery by eliminating the need for manual inputs. This includes analyzing medical records and extracting data in using keywords. Moreover, healthcare RPA solutions analyze structured and unstructured medical data as well as compare them with historical health records. US-based startup CloudMedx applies predictive analytics techniques to medical cases to present the most optimal solutions, warnings, and relevant care alerts. Working on analytical techniques like Natural Language Processing (NLP), big data, evidence-based medicine, and machine learning helps medical researchers as well as doctors, who can now pay individual attention to patients.

What About The Other 181 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 startups showcased above are promising examples out of 186 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.

 

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