10 Best Medical Records Retrieval Software for Practices (2026)

Quick answer: The best medical records retrieval software in 2026 helps a practice pull outside records and data in — specialist notes, hospital records, labs, imaging, and payer data from other organizations — so its own clinicians have a complete picture. The field splits between interoperability networks and APIs (Datavant, Particle Health, Health Gorilla, Zus, 1upHealth, Surescripts, Availity) that retrieve where a source participates, and agentic retrieval that works even where APIs don't reach. Honey Health leads for retrieving from the long tail of portals and sources that networks miss. The right pick depends on how connected your sources already are.

Medical records retrieval is the work of getting records and data your practice doesn't have but needs. A patient was treated at another health system, saw a specialist, had imaging at a hospital, or carries history scattered across providers — and to care for them well, your clinicians need that outside information pulled into your own records. That's retrieval, also called data fetching: an outbound pull of records from other organizations into your system, the opposite direction from fulfilling others' requests for your patients' records.

That distinction matters because the two are constantly confused. Releasing records to outside requesters is release of information — inbound fulfillment, covered in our release of information software guide. Retrieval is the reverse: you're the one pulling records in. It's also distinct from chart prep, which organizes information the practice already has into a pre-visit summary; retrieval is about going and getting the outside data in the first place, which chart prep then depends on. This guide is strictly about that outbound pull.

The category divides by approach, and that division drives everything. Some tools retrieve through interoperability networks and APIs — they work beautifully when the source organization participates in the same network and exposes its data, and not at all when it doesn't. Others retrieve agentically, operating portals and systems directly, which reaches sources that networks never touch. Below are the best records retrieval tools for 2026, with a clear best-fit and an honest read on each one's reach. For the AI-native shortlist, see the companion AI medical records retrieval tools guide, and for the wider automated back office, our AI automation tools for medical practice operations pillar.

Last updated: June 2026.

Network retrieval vs. portal retrieval

The single most important thing to understand about records retrieval is the two fundamentally different ways tools get the data, because it determines what they can and can't reach. The first is network-and-API retrieval. Interoperability frameworks — Carequality, CommonWell, TEFCA — and FHIR APIs let participating organizations exchange records electronically. When the source system is connected to the same network and exposes its data, this approach is fast, clean, and structured. Particle Health, Health Gorilla, Zus, 1upHealth, Datavant, Surescripts, and Availity all operate in this world, querying networks to which a growing share of large systems belong.

The catch is coverage. Network retrieval works only where the source participates and shares the specific data you need, and a large part of healthcare still doesn't — independent specialists, smaller facilities, imaging centers, payer portals, and countless systems that either aren't on a national network or don't expose the relevant records through it. For that long tail, the records sit behind a portal login, not an API endpoint.

That's where the second approach comes in: portal-based, agentic retrieval. Instead of querying a network, the tool logs into the source's portal directly, the way a staff member would, and retrieves the records from the screen. This reaches sources that have no API and aren't on any network — which is most of the long tail. The honest tradeoff is that network retrieval is cleaner where it reaches but blind where it doesn't, while portal retrieval reaches almost anywhere but does the harder work of operating each system. The best fit depends entirely on how connected your particular sources are.

How we evaluated medical records retrieval software

We looked at the full retrieval field — interoperability networks, data-aggregation platforms, and agentic retrieval — and judged them on how well they pull outside records into a practice. The dimensions that separated them:

• Reach — networked sources only, or the long tail of portals too?
• Approach — network/API query, data aggregation, or agentic portal retrieval?
• Data type — clinical records, labs, imaging, payer data, or all of it?
• Output — raw records, or normalized and deduplicated data?
• Fit — built for a practice, a payer, or a developer building on top?

There's no universal best. A practice whose referral sources are all on a major network has very different needs from one chasing records across independent portals, so each entry carries a clear best-fit and an honest note on its reach.

Medical records retrieval software at a glance

The 10 best medical records retrieval software platforms in 2026

1. Honey Health — best for the long tail of portals

Honey Health is built for exactly the part of retrieval that networks and APIs can't reach: the records sitting behind a portal login at an independent specialist, an imaging center, a smaller facility, or a payer site. The company builds trained, dedicated AI workers that log into outside systems and pull records and data into a practice's EHR, and data fetching is a defined product. The technology is agentic browser automation — not rules-based RPA, not an API integration, not a browser extension. Each worker runs in a virtual browser, signs in with the practice's credentials, reads and understands the full screen, and operates the source portal directly, adapting to popups and interface changes that break scripted bots; the founding team built anti-bot and automation systems at LinkedIn and Microsoft.

That approach is the differentiator: because Honey retrieves the way a person would — logging into whatever portal or system holds the records — it works where there's no API and no network connection at all, which is most of the long tail. It pulls outside records, specialist notes, hospital records, labs, imaging, and payer data into the EHR, then files what it retrieves. Honey reports 80 to 95 percent less manual effort, 99.8 to 99.9 percent task accuracy on a HIPAA-compliant and SOC 2 platform, go-live in two to three weeks, no onboarding fees, and a "needs human review" queue for genuine exceptions, backed by a dedicated human team.

The honest framing is that where a source is well connected to a national network and exposes its data cleanly, an API query can return structured data with less effort than operating a portal — so the network platforms below are a fine complement for the connected share of your sources. Honey's advantage is the messy remainder, the sources that aren't on a network and never expose an endpoint. Pricing is per task, netting to roughly three to six dollars per hour of equivalent human work, with customers citing 2.91x savings per dollar. For a practice whose retrieval pain is the long tail of portals that networks miss, it's the most complete starting point on this list.

2. Datavant — best for retrieval at national scale

Datavant operates one of the largest health-data-exchange platforms in the country, and its health-data-retrieval solution provides requesters with the clinical data they need — informing risk adjustment, disability claims, underwriting, and other needs — pulled across its enormous network. Built on the data-collaboration platform that also anchors its release-of-information business, Datavant's retrieval side moves clinical data at a scale few can match.

For retrieval, Datavant's strength is that scale and connectivity: it sits at the center of national health-data exchange, so for sources within its vast reach, it can retrieve clinical data in volume through established infrastructure rather than chasing records one at a time. For an organization that needs large-scale clinical data retrieval across a national network, Datavant is a leading option.

The honest framing is that Datavant's retrieval works through its network and platform, so it reaches the sources connected to it rather than the long tail of unconnected portals, and it's enterprise-oriented, meaning a buyer works within its ecosystem and often for use cases like risk adjustment more than point-of-care record pulls. Best for organizations that need clinical data retrieval at national network scale.

3. Particle Health — best for developer-friendly retrieval APIs

Particle Health offers a user-friendly API platform for healthcare data exchange, transforming medical records into actionable clinical insights with access to more than 320 million patients' records piped from the largest networks. Its Data Retrieval APIs follow a clean register-patient, query, retrieve flow, and the company — which raised a $25 million Series B in 2022 and added $10 million in early 2025 from investors including Menlo Ventures, Canvas Ventures, and Pruven — is built for teams that want to integrate retrieval into their own software.

For retrieval, Particle's strength is that developer-friendly API access to a huge volume of networked records: for a practice or vendor that can integrate an API, it offers a clean, modern way to query national networks and retrieve structured clinical data without building network connectivity from scratch. For a team that wants retrieval delivered as a well-designed API, Particle is a strong choice.

The honest framing is that Particle retrieves from the networks it's connected to, so its reach is the connected share of healthcare rather than the unconnected long tail, and it's an API platform best suited to organizations with the technical capacity to build on it rather than a turnkey tool for a small practice's front desk. Best for developers and vendors that want retrieval via a clean API.

4. Health Gorilla — best for TEFCA / QHIN retrieval

Health Gorilla provides the national network, infrastructure, and APIs to access patient data securely, and it is a Qualified Health Information Network under TEFCA — putting it at the center of the federal interoperability framework — while also complying with California's data-exchange requirements. It describes removing the burden of record retrieval by letting health data follow the patient, and it raised a $50 million Series C in 2022 to build out that national network.

For retrieval, Health Gorilla's strength is that QHIN status and national-network infrastructure: as TEFCA expands, being a qualified network at the heart of it positions Health Gorilla to retrieve records across a growing, federally backed exchange, which is a durable advantage for the connected share of sources. For an organization that wants retrieval aligned with TEFCA and national interoperability, Health Gorilla is a strong choice.

The honest framing is that Health Gorilla retrieves through the networks and framework it participates in, so its reach grows with TEFCA adoption but still depends on sources participating, leaving the unconnected long tail outside its scope, and like the other network players it's infrastructure best used by organizations that can build on its APIs. Best for organizations that want TEFCA- and QHIN-aligned network retrieval.

5. Zus Health — best for unified patient history

Zus Health, founded by athenahealth co-founder Jonathan Bush, is a next-generation shared health-data platform designed to accelerate interoperability with easy-to-use patient data. Rather than just returning raw records, the Zus platform transforms scattered clinical records into an always-on, unified patient history — standardizing, deduplicating, and organizing the data — and it was recognized as an early adopter in the CMS interoperability framework in 2025.

For retrieval, Zus's strength is that it doesn't just fetch records, it makes them usable: pulling data from connected sources and then normalizing and deduplicating it into a coherent patient history saves clinicians from sifting through redundant, messy records, which is often the real pain after retrieval. For a practice that wants retrieved data delivered as a clean, unified history rather than a pile of documents, Zus is a strong choice.

The honest framing is that Zus aggregates and organizes data from the sources it's connected to, so its reach is the networked share rather than the unconnected long tail, and its value is as much in the normalization layer as in raw retrieval — a strength if that's your need, but it still depends on the underlying data being reachable. Best for practices that want retrieved records unified into a clean patient history.

6. 1upHealth — best for FHIR data aggregation

1upHealth is a FHIR-first interoperability platform and a leading aggregator of patient data, letting organizations acquire, manage, exchange, and analyze clinical data from external health systems. Its provider application aggregates patient data from outside systems into one place, and it serves both provider and payer use cases with a modern, standards-based platform built around FHIR.

For retrieval, 1upHealth's strength is that FHIR-native aggregation: for organizations committed to modern interoperability standards, it pulls patient data from external systems into a single, standardized place, which makes the retrieved data clean and ready for analysis or integration. For a team that wants FHIR-based aggregation of external records, 1upHealth is a strong option.

The honest framing is that 1upHealth aggregates from the systems exposing FHIR data, so its reach is the FHIR-connected share of sources rather than the long tail behind portals, and as a platform it's oriented toward organizations with the technical capacity to build on it. Best for organizations that want FHIR-first aggregation of external patient data.

7. Moxe Health — best for payer-provider chart retrieval

Moxe Health provides EHR-agnostic clinical data exchange focused on the payer-provider relationship, automating chart retrieval to deliver precise, usable clinical data — and it reports delivering 93 percent of clinical records in under 24 hours for use cases like HEDIS and risk adjustment, accessing data directly from connected EHRs. It raised a $30 million Series B in 2022 led by Piper Sandler Merchant Banking.

For retrieval, Moxe's strength is that automated, fast chart retrieval from connected EHRs: its sub-24-hour delivery on the majority of records, and direct EHR access, make it efficient for the high-volume retrieval that payer programs demand, with an EHR-agnostic reach across the systems it connects to. For an organization whose retrieval need is payer-oriented chart pulls from connected EHRs, Moxe is a strong choice.

The honest framing is that Moxe's orientation is the payer-provider exchange and connected-EHR chart retrieval rather than a practice pulling records from the full long tail of outside portals, so it fits payer-driven and HEDIS/risk-adjustment use cases better than a clinic chasing an independent specialist's records. Best for payer-oriented chart retrieval from connected EHRs.

8. Surescripts — best for care-coordination exchange

Surescripts operates one of the largest health information networks in the country, and beyond its well-known prescription role it offers Clinical Direct Messaging for secure care coordination within the EHR — including transitions of care — and its Interconnect product to participate in TEFCA and exchange patient information at scale. Its network reaches a vast share of providers and pharmacies nationally.

For retrieval, Surescripts's strength is that enormous, established network and its care-coordination exchange: for moving clinical information between providers during transitions of care, its scale and EHR integration make it a dependable backbone, increasingly extended to TEFCA-scale exchange through Interconnect. For an organization that wants record exchange built on a massive existing network, Surescripts is a strong option.

The honest framing is that Surescripts is oriented toward network-based exchange and care coordination rather than on-demand retrieval from arbitrary outside portals, so it excels at moving data across its network but doesn't reach sources outside it, and its retrieval role is one part of a broader information-network business. Best for network-based care-coordination exchange at national scale.

9. Availity — best for retrieval alongside payer workflows

Availity operates one of the largest health-information networks in the country, best known for real-time payer transactions — eligibility, claims, and prior authorization — but also serving as infrastructure for clinical and administrative data exchange between providers and payers. For a practice already using Availity for payer workflows, it offers a connected path to exchange clinical information as well.

For retrieval, Availity's strength is that combination of a massive network and existing payer-workflow integration: a practice already on Availity for eligibility and claims can leverage the same network for clinical data exchange, consolidating onto infrastructure it already uses rather than adding a separate retrieval tool. For an organization that wants data exchange alongside its payer transactions, Availity is a solid option.

The honest framing is that Availity's center of gravity is the payer-provider transaction network rather than broad clinical-record retrieval from the full range of outside sources, so it's most valuable as an extension of payer workflows than as a dedicated tool for pulling records from the long tail. Best for clinical data exchange alongside existing payer workflows.

10. EHR-native interoperability — best for built-in network queries

Most major EHRs include built-in interoperability through Carequality and CommonWell, letting a practice query connected participants and pull outside records directly within the system staff already use. For records held at organizations on the same frameworks — many large health systems — this built-in capability can retrieve outside history without any additional vendor, surfacing it right in the chart.

For retrieval, the strength of EHR-native interoperability is that it's already there and free: for sources connected to Carequality or CommonWell, a practice can pull outside records inside its existing EHR with no new tool, no integration, and the data landing directly in the patient's chart. For retrieving from well-connected systems, it's the path of least resistance.

The honest framing is that EHR-native interoperability reaches only the participants on those frameworks, so it captures the large connected systems but misses the long tail of independent specialists, imaging centers, smaller facilities, and payer portals that aren't on Carequality or CommonWell — which is exactly the gap a portal-based agent fills. Best for practices retrieving from systems already on the same interoperability frameworks.

How to choose medical records retrieval software

Start by auditing where your records actually come from, because that determines which approach fits. If the organizations you retrieve from — your referral partners, the hospitals your patients use, the labs and imaging centers — are large systems on national networks, network-and-API retrieval will reach most of them cleanly, and your EHR's built-in Carequality/CommonWell queries plus a platform like Particle, Health Gorilla, or Datavant may cover the bulk of your need. If instead you're constantly chasing records from independent specialists, smaller facilities, and payer portals, much of that sits outside any network, and you need portal-based agentic retrieval to reach it.

Then decide whether you want raw records or usable data. Some tools return documents; others, like Zus and 1upHealth, normalize and deduplicate the retrieved data into a cleaner, unified form. If your clinicians lose time sifting through redundant, messy records after retrieval, the normalization layer matters as much as the fetch itself, so weigh the output format, not just the reach.

Match the delivery model to your capacity. The network platforms are largely APIs and infrastructure built for organizations that can integrate them, which suits a vendor or a practice with technical resources; a turnkey agent that operates portals and files records into the EHR suits a practice that wants the work done without building anything. Buying an API platform when you needed a done-for-you service, or vice versa, is the common mismatch.

Finally, weigh use case and cost, and keep the direction straight. Payer-oriented, high-volume chart retrieval (Moxe) is a different need from point-of-care record pulls; care-coordination exchange (Surescripts) differs from chasing arbitrary outside records; and per-task agent pricing scales differently from platform subscriptions. Remember this is outbound retrieval — pulling records in. Fulfilling others' requests for your patients' records is the separate, inbound job in our release of information software guide, and organizing data you already have for a visit is the distinct job of chart prep software. For AI-native retrieval specifically, see the AI medical records retrieval tools guide, and for the wider back office, the AI automation tools for medical practice operations pillar.

Frequently asked questions

What is medical records retrieval software?

Medical records retrieval software helps a practice pull outside records and data into its own system — specialist notes, hospital records, labs, imaging, and payer data from other organizations — so its clinicians have a complete picture. Also called data fetching, it's an outbound pull from other sources, accomplished either through interoperability networks and APIs or by agentically operating the source's portal directly.

How is retrieval different from release of information?

They're opposite directions. Retrieval (data fetching) is outbound: you pull records in from other organizations. Release of information is inbound: you fulfill outside requests for your patients' records. Both involve "medical records," but they're different jobs with different tools. This guide covers outbound retrieval; release of information is covered separately.

What's the difference between network retrieval and portal retrieval?

Network retrieval uses interoperability frameworks (Carequality, CommonWell, TEFCA) and FHIR APIs to exchange records with participating organizations — clean and fast where the source is connected, but blind where it isn't. Portal retrieval logs into the source's portal directly, the way a person would, reaching sources that have no API and aren't on any network. Network retrieval is cleaner where it reaches; portal retrieval reaches the long tail networks miss.

How is retrieval different from chart prep?

Retrieval is about going and getting outside data your practice doesn't have. Chart prep organizes information the practice already has — including data that was retrieved — into a pre-visit summary. Retrieval comes first and feeds chart prep; they're complementary, not the same. A complete pre-visit workflow often uses both: retrieval to pull the outside records in, chart prep to organize them for the encounter.

Can records retrieval be automated?

Yes, in both forms. Network platforms automate retrieval via APIs where sources are connected, and agentic tools automate portal-based retrieval where they aren't — logging in, navigating, and pulling records the way a staff member would. Honey Health's agent automates the portal side, reaching the long tail of sources that have no API. The most complete coverage often combines network retrieval for connected sources with agentic retrieval for everything else.

How much does records retrieval software cost?

Pricing varies by model. Network and API platforms (Particle, Health Gorilla, Datavant, 1upHealth) typically price by volume, API usage, or enterprise contract; EHR-native interoperability is included in the EHR; and agentic tools like Honey Health charge per completed task, so cost scales with the number of retrievals. Weigh any option against the staff time spent chasing outside records today, especially from the portals that networks can't reach.

Medical records retrieval is the outbound work of pulling outside data into your practice, and the tools split cleanly between network retrieval that's clean where it reaches and agentic portal retrieval that reaches the long tail networks miss. Audit where your records actually come from, weigh raw records against unified data, and match the delivery model to your capacity. For a practice whose retrieval pain is the long tail of portals beyond any network, Honey Health is a strong starting point.