Metriport

Why can patient hit rate vary so much across different HIE onramps? 🧵 While most healthcare interoperability vendors integrate with the same national networks, one common myth is that this means that patient coverage will be relatively the same between different solutions... This is wrong, due to a number of reasons 👇 1) Each vendor has their own way of doing record location and patient matching: fine tuning of these specific services is essential to getting significant hit rates. Furthermore, if an endpoint is not returning data as expected in a network, it’s up to the vendor to be proactive and reach out to the parties involved to resolve this, which is not something all onramps will do. 2) Not all vendors have direct integrations: while some companies (like Metriport) integrate with Carequality directly, others do this through 3rd party vendors. This means that under the hood, they have little control over the services mentioned above, and are unable to configure these or get involved in resolution processes to improve hit rates for their own customers. 3) Everyone calculates “hit rate” differently: it’s important to be careful when a vendor tells you “we have X% patient coverage!”. How do they calculate this? At Metriport, we calculate our hit rate based on there being at least one unique document found per patient, whereas we learned recently that others often calculate this based on if there’s a patient match in the network or not, regardless of if any data is returned for that patient. 👉 When making a decision on what vendor to go with as an HIE onramp, it’s important that you make a long term decision rather than a short term one, as coverage will make all the difference once you’re dealing with significant patient volumes at scale. Whenever I hear someone say “HIEs don’t have great coverage”, I’m usually pretty skeptical, as all this tells me is that they probably used a legacy onramp previously, and are unaware that they could unlock significantly better patient coverage (90%+) by going with a modern solution like Metriport that takes the above factors seriously and constantly iterates to provide a premium experience for providers. #interoperability #healthcaredata #ehr #hie #commonwell #carequality

"With Metriport, we improved our referral-to-appointment time from up to 2 weeks to under 24 hours!" We recently had the chance to sit down with Hershey Jayasuriya, MD, FAAFP of BridgeCare Specialists of Michigan to learn more about how she leverages Metriport to deliver high quality virtual care for her patients. Some highlighted results from using Metriport: ⏱️ 95% reduction in referral-to-appointment time — from 2 weeks to <24 hours. 🏥 2% all-cause readmission rate — compared to the 9-35% national average. 💎 95%+ patient coverage through Metriport — after getting 80% with a competing solution. 👉 Learn more about BridgeCare and how Metriport has transformed their virtual care delivery: https://lnkd.in/gFKbXJPJ #interoperability #healthcareinnovation #homehealth #bridgecare #homecare #metriport #api #fhir #ccda #ehr #patientcare #virtualcare

One of the most underrated aspects of using an #interoperability tool like Metriport is not needing to know where the patient has received care previously 👇 While this may be obvious to providers who have leveraged Health Information Exchanges (HIEs) before, the reality is that so many providers today still need to ask their patient where they’ve received treatment previously (assuming the patient remembers them all), and then needs to call each facility and beg them to send over the records via #fax. This process can take days, if not weeks, and often still results in the provider having an incomplete, partial understanding of their patient's medical history 🤷♂️ Through #HIEs, a provider who leverages Metriport simply needs to enter the basic demographic info of their patient (name, DOB, gender, and address) to pull records from all the facilities where their patient has received care previously. Metriport handles this entire process in seconds, without any humans in the loop. This is by far one of the biggest “aha” moments for providers who use Metriport for the first time, after being reliant on manual retrieval methods previously. From initial skepticism, to providers who now can’t live without this, we see these tools as an inevitable part of evolution of modern #healthcare workflows.

College students and recent grads — join us at Startup School in San Francisco on July 27! It's a free, one-day conference where you’ll hear stories and practical advice from founders and YC partners. If you’re thinking about starting a startup one day, or are in the earliest stages of building one, we hope to meet you there. This year's speakers include: • Sam Altman [OpenAI] • Christina Cacioppo [Vanta] • Anh-Tho Chuong [Lago] • Emily Damato [MantleBio] • james hawkins [PostHog] • Kesava Kirupa Dinakaran [Luminai] • Vlad Matsiiako [Infisical] • Han Wang [Mintlify] • Dima Goncharov [Metriport] • Trey Benedict [Pure (YC S23)] • Gabriel Birnbaum [Can of Soup] • YC Partners Dalton Caldwell, Nicolas Dessaigne, Diana Hu, Jared Friedman, Michael Seibel, Harj Taggar, Garry Tan and more!

It’s great to see new startups building solutions using FHIR. Metriport is a US company that connects to all 3 major HIE networks and helps share patient data via their API. They came out of Y Combinator a couple of years ago and have open sourced many of their key components. One of which is a C-CDA to FHIR converter: https://lnkd.in/exHb3eep My default position on healthcare data convertors is that they never work as well as expected, but I’m open to being proved wrong. A fresh set of eyes on the problem can often lead to genuine improvements. And they have a patient matching algorithm that I’ll be digging into later: https://lnkd.in/e9kBdWuj I was exploring patient matching and merging only this week, so look forward to seeing what they’ve produced. We need more startups working with FHIR. New sets of eyes not encumbered by old processes and ways of doing things. The Hacker News post is long and detailed, but it’s well worth reading, as are the comments: https://lnkd.in/eus-n63X

Today we’re introducing our open-source FHIR Converter API, as well as the launch of our new OSS Slack community 🚀 A key piece to achieving true interoperability is compatibility between different data formats. For too long, closed-source healthcare IT vendors have kept their secrets hidden behind black box solutions, forcing builders to reinvent the wheel every time they need do something as universal as standardizing legacy data to modern formats such as FHIR. After finding no good solution on the market, we built our own FHIR converter in-house, and today we're announcing it as a standalone product. Using advanced processing techniques, Metriport's FHIR Converter API takes common healthcare data formats such as C-CDA, HL7v2, and PDF, and converts them into FHIR R4 to streamline data exchange. 👉 Join the waitlist today for early access: https://lnkd.in/gYJpK7V2 We’re also introducing a new open-source Slack community for builders who are passionate about improving interoperability in healthcare. It’s a space for founders, engineers, researchers, and data enthusiasts to come together and share knowledge. 👋 If this interests you, come say hi: https://lnkd.in/giswCDda #opensource #interoperability #healthcaredata #ccda #fhir #cdatofhir #api

Today we’re introducing our open-source FHIR Converter API, as well as the launch of our new OSS Slack community 🚀 A key piece to achieving true interoperability is compatibility between different data formats. For too long, closed-source healthcare IT vendors have kept their secrets hidden behind black box solutions, forcing builders to reinvent the wheel every time they need do something as universal as standardizing legacy data to modern formats such as FHIR. After finding no good solution on the market, we built our own FHIR converter in-house, and today we're announcing it as a standalone product. Using advanced processing techniques, Metriport's FHIR Converter API takes common healthcare data formats such as C-CDA, HL7v2, and PDF, and converts them into FHIR R4 to streamline data exchange. 👉 Join the waitlist today for early access: https://lnkd.in/gYJpK7V2 We’re also introducing a new open-source Slack community for builders who are passionate about improving interoperability in healthcare. It’s a space for founders, engineers, researchers, and data enthusiasts to come together and share knowledge. 👋 If this interests you, come say hi: https://lnkd.in/giswCDda #opensource #interoperability #healthcaredata #ccda #fhir #cdatofhir #api

"With Metriport, we improved our referral-to-appointment time from up to 2 weeks to under 24 hours!" We recently had the chance to sit down with Hershey Jayasuriya, MD, FAAFP of BridgeCare Specialists of Michigan to learn more about how she leverages Metriport to deliver high quality virtual care for her patients. Some highlighted results from using Metriport: ⏱️ 95% reduction in referral-to-appointment time — from 2 weeks to <24 hours. 🏥 2% all-cause readmission rate — compared to the 9-35% national average. 💎 95%+ patient coverage through Metriport — after getting 80% with a competing solution. 👉 Learn more about BridgeCare and how Metriport has transformed their virtual care delivery: https://lnkd.in/gFKbXJPJ #interoperability #healthcareinnovation #homehealth #bridgecare #homecare #metriport #api #fhir #ccda #ehr #patientcare #virtualcare

"With Metriport, we improved our referral-to-appointment time from up to 2 weeks to under 24 hours!" We recently had the chance to sit down with Hershey Jayasuriya, MD, FAAFP of BridgeCare Specialists of Michigan to learn more about how she leverages Metriport to deliver high quality virtual care for her patients. Some highlighted results from using Metriport: ⏱️ 95% reduction in referral-to-appointment time — from 2 weeks to <24 hours. 🏥 2% all-cause readmission rate — compared to the 9-35% national average. 💎 95%+ patient coverage through Metriport — after getting 80% with a competing solution. 👉 Learn more about BridgeCare and how Metriport has transformed their virtual care delivery: https://lnkd.in/gFKbXJPJ #interoperability #healthcareinnovation #homehealth #bridgecare #homecare #metriport #api #fhir #ccda #ehr #patientcare #virtualcare

Today’s Vendor Spotlight is… Metriport What Metriport does (Elion’s take): - Metriport offers an open-source interoperability platform for the exchange of comprehensive patient medical data with all major healthcare IT systems in the US. - The platform offers an advanced record locator service, a modern API, and a dashboard. - Additionally, while retrieving data, Metriport helps standardize, consolidate, and deduplicate data into medical record summaries and formats like FHIR R4. Founded: 2022 Total Funding: $2.4M Leadership: Dima Goncharov Colin Elsinga Highlighted Customers: - Circle Medical - Tono Health - BridgeCare Specialists of Michigan Core Differentiators (according to Metriport): - Metriport is the world's first open-source Clinical Data Access API, which deliverers comprehensive consolidated patient clinical data at the point-of-care - Metriport standardizes, de-duplicates, and hydrates data from HIEs and EHRs, giving providers a rich understanding of their patients' medical histories Link to more on Metriport in the comments. (And if you’re a healthcare vendor and want to get featured, claim and update your Elion profile today.)