By Streamlining Patient Data and Automating Clinical Note-Taking, Velos Helped Orchid’s Users Save 25K Hours
By Streamlining Patient Data and Automating Clinical Note-Taking, Velos Helped Orchid’s Users Save 25K Hours
75,000
75,000
documents processed and sent to Orchid's EHR
documents processed and sent to Orchid's EHR
65% less time
65% less time
spent on patient note-taking by clinicians
spent on patient note-taking by clinicians
NPS increased
NPS increased
by 2 points across Orchid's clinicians
by 2 points across Orchid's clinicians
By Streamlining Patient Data and Automating Clinical Note-Taking, Velos Helped Orchid’s Users Save 25K Hours
75,000
documents processed and sent to Orchid's EHR
65% less time
spent on patient note-taking by clinicians
NPS increased
by 2 points across Orchid's clinicians
75,000
documents processed by Velos
25,000 hours
of time saved on manual note-taking and data migration
NPS increased
by 2 points across Orchid's clinicans
Company
Orchid is an AI-powered EHR platform for mental health professionals.
Visit Orchid ↗
HQ
Philadelphia,PA
Industry
Healthcare
"Velos has completely transformed how we handle data migration and clinical documentation. Our clinicians can now focus on providing care, not administrative tasks, and our engineering team can dedicate time to building new features instead of manually handling legacy data."
"Velos has completely transformed how we handle data migration and clinical documentation. Our clinicians can now focus on providing care, not administrative tasks, and our engineering team can dedicate time to building new features instead of manually handling legacy data."
Joseph Pomianowski
CEO of Orchid
INTRO
INTRO
Backed by Y Combinator, Orchid is an AI-powered Electronic Health Record (EHR) platform built specifically for mental health professionals.
Joseph Pomianowski, CEO of Orchid, wanted to help his end-users automate two of the most tedious processes in their day to day, transcribing and structuring patient notes and manually migrating patient data from legacy EHR systems into Orchid.
CHALLENGE # 1
Using AI to migrate data from legacy EHR systems
Before Velos, Orchid’s end-users had to manually recreate existing forms and processes within Orchid’s system—a tedious and error-prone process.
In the healthcare industry, many providers are stuck with clunky, legacy systems or processes that are closely tied to their day-to-day business operations. Because of how deeply embedded their operations are with their respective systems, many providers hesitate to make the jump to newer systems like Orchid because they’re worried about the switching costs.
Most clinicians don’t have large technical teams who can handle custom migration work and, companies like Orchid are limited in the number of resources they can dedicate to this task.
“Manual data entry remains a massive problem in healthcare. Most EHR systems lack accessible APIs, so our users often find themselves painstakingly entering data by hand from one system to another," said Pomianowski. "It's not just inefficient; it takes valuable time away from patient care."
Velos solved this inefficient data migration problem by using AI to intelligently extract, transform, and migrate complex legacy data directly into Orchid's EHR system. The automation eliminated tedious manual tasks, reducing errors and freeing up Orchid’s engineering resources.
"With Velos, our onboarding process became a lot easier," Pomianowski explained. "Mental health professionals are now empowered to focus entirely on patient care rather than administrative data entry.The impact on our customer experience has been transformative; reflected in a 2-point increase in our Net Promoter Score."
Before Velos, Orchid’s end-users had to manually recreate existing forms and processes within Orchid’s system—a tedious and error-prone process.
In the healthcare industry, many providers are stuck with clunky, legacy systems or processes that are closely tied to their day-to-day business operations. Because of how deeply embedded their operations are with their respective systems, many providers hesitate to make the jump to newer systems like Orchid because they’re worried about the switching costs.
Most clinicians don’t have large technical teams who can handle custom migration work; and, companies like Orchid are limited in the number of resources they can dedicate to this task.
“Manual data entry remains a massive problem in healthcare. Most EHR systems lack accessible APIs, so our users often find themselves painstakingly entering data by hand from one system to another," said Pomianowski. "It's not just inefficient; it takes valuable time away from patient care."
Velos solved this inefficient data migration problem by using AI to intelligently extract, transform, and migrate complex legacy data directly into Orchid's EHR system. The automation eliminated tedious manual tasks, reducing errors and freeing up Orchid’s engineering resources.
"With Velos, our onboarding process became a lot easier," Pomianowski explained. "Mental health professionals are now empowered to focus entirely on patient care rather than administrative data entry.The impact on our customer experience has been transformative; reflected in a 2-point increase in our Net Promoter Score."
CHALLENGE #2
Creating automated notes to supercharge clinicians
For physicians and clinicians, the patient encounter doesn’t end when the patient walks out the door. Many clinicians spend hours every week completing their medical charting tasks, which include entering patient notes into their EHR system.
Before Velos, Orchid’s clinicians spent up to 20 minutes per session on documentation, diverting valuable attention away from patient care.
“Our customers struggled because traditional note-taking solutions weren't specialized for mental health,” explains Pomianowski. “The time spent manually documenting sessions was eating into clinicians' ability to provide quality patient care.”
While Orchid had the specialized knowledge and proprietary data required to deliver a high quality, personalized note-taking solution to their customers, they wanted the right infrastructure to create more complex AI agents.
Basic note-taking tools are only able to take transcripts and summarize them using off-the-shelf foundation model providers like OpenAI. Using Velos’s Automation platform, Orchid was able to create a proprietary AI system that can not only adapt and tailor notes to clinicians based on internal EHR data but also integrate with and take other actions in the EHR.
"Since partnering with Velos, we've saved an estimated 25,000 hours of manual work—translating directly into more time for patient care and less on admin work."
—
Impact:
Velos was able to transform time-consuming administrative tasks into fully automated workflows. Orchid now leverages Velos’s AI to streamline data migration, note-taking, and workflow optimization, empowering clinicians to focus on what matters most--patient care.
Seamless data onboarding: Orchid customers simply upload their existing forms and documents, and Velos automatically processes them using Orchid’s proprietary data models—eliminating manual entry and accelerating onboarding.
Fast documentation turnaround: Velos automates the entire note‑taking process, reducing documentation time from 20 minutes down to mere seconds per session, so clinicians can spend more time with patients and less time in front of a computer screen.
Personalized note-taking: Orchid developed a proprietary agent that learns each clinician’s unique style over time.
For physicians and clinicians, the patient encounter doesn’t end when the patient walks out the door. Many clinicians spend hours every week completing their medical charting tasks, which include entering patient notes into their EHR system.
Before Velos, Orchid’s clinicians spent up to 20 minutes per session on documentation, diverting valuable attention away from patient care.
“Our customers struggled because traditional note-taking solutions weren't specialized for mental health,” explains Pomianowski. “The time spent manually documenting sessions was eating into clinicians' ability to provide quality patient care.”
While Orchid had the specialized knowledge and proprietary data required to deliver a high quality, personalized note-taking solution to their customers, they wanted the right infrastructure to create more complex AI agents.
Basic note-taking tools are only able to take transcripts and summarize them using off-the-shelf foundation model providers like OpenAI. Using Velos’s Automation platform, Orchid was able to create a proprietary AI system that can not only adapt and tailor notes to clinicians based on internal EHR data but also integrate with and take other actions in the EHR.
"Since partnering with Velos, we've saved an estimated 25,000 hours of manual work—translating directly into more time for patient care and less on admin work."
—
Impact:
Velos was able to transform time-consuming administrative tasks into fully automated workflows. Orchid now leverages Velos’s AI to streamline data migration, note-taking, and workflow optimization, empowering clinicians to focus on what matters most--patient care.
Seamless data onboarding: Orchid customers simply upload their existing forms and documents, and Velos automatically processes them using Orchid’s proprietary data models—eliminating manual entry and accelerating onboarding.
Fast documentation turnaround: Velos automates the entire note‑taking process, reducing documentation time from 20 minutes down to mere seconds per session, so clinicians can spend more time with patients and less time in front of a computer screen.
Personalized note-taking: Orchid developed a proprietary agent that learns each clinician’s unique style over time.
For physicians and clinicians, the patient encounter doesn’t end when the patient walks out the door. Many clinicians spend hours every week completing their medical charting tasks, which include entering patient notes into their EHR system.
Before Velos, Orchid’s clinicians spent up to 20 minutes per session on documentation, diverting valuable attention away from patient care.
“Our customers struggled because traditional note-taking solutions weren't specialized for mental health,” explains Pomianowski. “The time spent manually documenting sessions was eating into clinicians' ability to provide quality patient care.”
While Orchid had the specialized knowledge and proprietary data required to deliver a high quality, personalized note-taking solution to their customers, they wanted the right infrastructure to create more complex AI agents.
Basic note-taking tools are only able to take transcripts and summarize them using off-the-shelf foundation model providers like OpenAI. Using Velos’s Automation platform, Orchid was able to create a proprietary AI system that can not only adapt and tailor notes to clinicians based on internal EHR data but also integrate with and take other actions in the EHR.
"Since partnering with Velos, we've saved an estimated 25,000 hours of manual work—translating directly into more time for patient care and less on admin work."
—
Impact:
Velos was able to transform time-consuming administrative tasks into fully automated workflows. Orchid now leverages Velos’s AI to streamline data migration, note-taking, and workflow optimization, empowering clinicians to focus on what matters most--patient care.
Seamless data onboarding: Orchid customers simply upload their existing forms and documents, and Velos automatically processes them using Orchid’s proprietary data models—eliminating manual entry and accelerating onboarding.
Fast documentation turnaround: Velos automates the entire note‑taking process, reducing documentation time from 20 minutes down to mere seconds per session, so clinicians can spend more time with patients and less time in front of a computer screen.
Personalized note-taking: Orchid developed a proprietary agent that learns each clinician’s unique style over time.