Comparison

Bond Health vs Tempus (Deep 6 AI) vs TriNetX

For getting eligible patients into a study, Bond Health is better than Tempus and TriNetX because it takes every match to a booked screening visit. Tempus, which acquired Deep 6 AI in 2025, has a clinical team pre-screen matched patients and present them to each site in its TIME oncology network, and TriNetX invites organizations to studies and leaves each one to re-identify its own eligible patients.⁠[1],[3],[6],[14] Bond screens a site's own EHR, including clinical notes, and its voice and text agents contact, pre-screen and book every matched patient.⁠[19],[20] TriNetX does something Bond does not: de-identified feasibility queries across its network of healthcare organizations.⁠[13],[17]

By Rishabh Goel, CEO · Reviewed by Steven Tan, Security LeadLast updated Nov 8, 202621 sources

Partnered with

  • Southwest Family Medicine Associates
  • Commonwealth Pain and Spine Clinic
  • MRCT - Brigham and Women's Hospital
  • CRIO Certified Partner
On this page

Who are Bond Health, Tempus and TriNetX?

Bond Health

Bond Health is an AI clinical trial recruitment platform that works for the site. Identify screens the site's EHR against each protocol, including clinical notes, and Bond creates and runs Meta and Google ad campaigns for each study. Its voice and text agents then contact every matched patient and ad lead, pre-screen them and book the screening visit, with consent support and retention after enrollment.⁠[19],[20]

Tempus (Deep 6 AI, TIME and Next Trials)

Tempus acquired Deep 6 AI on March 11, 2025.⁠[1] Deep 6 AI matched patients to trials by mining structured and unstructured EMR data, and health systems used it enterprise-wide, often run centrally by the Clinical Trials Office (2024, 2025).⁠[2],[7] Tempus now sells trial matching through TIME, its oncology trial network, where a Tempus clinical team pre-screens matched patients and presents them to each site, and Next Trials, which pre-screens for trials already open at a practice (2026).⁠[3],[4] deep6.ai itself no longer loaded in October 2026.⁠[11]

TriNetX

TriNetX connects healthcare organizations and researchers through real-world patient data (2026).⁠[12] Sponsors and CROs use TriNetX LIVE™ to test a study's eligibility criteria against the network's data, see site and PI-level insights, and invite organizations to studies through TriNetX LIVE™ Connect; each organization then re-identifies its own eligible patients (2026).⁠[13],[14] Member organizations keep the data on hardware in their own data center or use a cloud-hosted option, and receive the tools at no financial cost while sponsors and CROs fund the platform (2023).⁠[17]

What does each one read in the chart?

Bond reads structured fields and clinical notes, prescriptions and lab results, plus imaging data and pathology, radiology and molecular reports, and shows the evidence behind every criterion decision, traceable to the chart.⁠[19],[20]

Tempus. Deep 6 AI applied natural language processing to structured and unstructured EMR data, such as physician notes and lab, radiology, pathology and genomics reports (2023), and Ohio State described it highlighting the text behind each inclusion and exclusion criterion (2024).⁠[9],[10] Tempus says generative AI scans structured and unstructured clinical notes for pre-screening, and Next Trials works from clinical, imaging and molecular data (2026).⁠[3],[4]

TriNetX data may come from discrete data elements or from natural language processing of medical notes and reports (2023), and NLP-extracted facts from clinical notes are queryable next to the structured data for the same de-identified patients (2026).⁠[17],[13]

All three read beyond billing codes. The differences are in whose records they read, who sees the patients and what happens next.

Does each one return identified patients or de-identified counts?

TriNetX works with de-identified data. Organizations provide data as a de-identified, pseudo-anonymized or limited data set, and sponsors and CROs see aggregate patient counts at each organization and cannot query an individual one (2023). When an organization joins a study, it re-identifies its own eligible patients through TriNetX LIVE™ Connect (2026).⁠[17],[14]

Tempus works from the data a provider agrees to share. Its tools connect to a provider's EHR, data warehouse or a third-party data provider to pull the structured and unstructured data the provider has agreed to provide (2026), and a Tempus nurse reviewed qualifying TIME matches before sending them to sites (2025).⁠[1],[5] In Deep 6 AI's workflow, IRB-approved site staff identified each matched patient and validated eligibility with evidence in the EMR (2023).⁠[8]

Bond works on the site's own identified records under a business associate agreement, and returns named, ranked matches with the evidence behind each criterion for the coordinator to review.⁠[19]

To be fair to TriNetX: for a sponsor sizing a protocol across many organizations before choosing sites, its network queries do something Bond does not. Bond runs feasibility from the same EHR screening, with eligible-patient counts backed by chart evidence, at the sites that run Bond.⁠[20]

Who acts on a match?

  • TriNetX: the organization. TriNetX sends the study opportunity to selected organizations and sites and follows up with the sites (2026); the organization then re-identifies its eligible patients itself (2026).⁠[15],[14] At Weill Cornell Medicine, TriNetX brought 402 requests for sponsor-initiated trials over six years, and local investigators were interested in 14% of them.⁠[18]
  • Tempus: its clinical team, then the site. In TIME, a Tempus clinical team pre-screens matched patients and presents them to each site (2026), and where a contract requires, Tempus may help open the trial site and enroll the patient (2026).⁠[3],[1] Next Trials assists site clinicians in identifying, screening and enrolling eligible patients for TIME trials (2026).⁠[4]
  • Bond: its agents. Bond's voice and text agents start from what Identify found in the chart, skip questions the chart already answers, and pre-screen and book the patient in one conversation, in the patient's language.⁠[20]

Who contacts, pre-screens and books the patient?

Bond does all three in software. Its voice and SMS agents contact every matched patient and every new ad lead immediately, keep following up with every lead who has not responded, pre-screen them and book the screening visit straight onto the site's calendar, then send reminders. Patients are told AI is used and can reach a person at any time, by live transfer to a coordinator or a callback, as the site prefers.⁠[20],[19]

Tempus Nurse Navigators contact patients who ask about TIME trials and can speak with them and their doctors (2026).⁠[6] For Tempus, automated calls or texts to EHR-matched patients, ad campaigns and visit booking are not publicly documented (October 2026). For TriNetX, contacting, pre-screening or booking patients is not publicly documented (November 2026).

Who buys and uses each one?

  • Bond: any research site, including physician groups and FQHCs, plus site networks, CROs and sponsors, in any therapeutic area. Screening is configured from each protocol's own criteria.⁠[19],[20]
  • Tempus: Deep 6 AI served health systems, often through the Clinical Trials Office, and life sciences companies (2024). TIME covers cancer trials, with the trial sponsor as the customer, and Next Trials serves practices for trials already open there, starting in oncology (2026).⁠[7],[6],[1],[4]
  • TriNetX: sponsors and CROs query the network and fund the platform; member healthcare organizations contribute data, receive query and analytics tools at no financial cost, and receive study invitations (2023, 2026).⁠[17],[14]

How does each one connect to a site's data?

Bond connects to Epic, Oracle Health (Cerner), MEDITECH, athenahealth, eClinicalWorks, NextGen, Veradigm, OncoEMR and the other major EHRs via FHIR and HL7 or an aggregator, with full integration in 48 hours handled end to end by Bond's team and no integration fee. It also works with CRIO, Advarra OnCore, Advarra Clinical Conductor, RealTime and Veeva SiteVault (implementation).⁠[19],[20]

Tempus uses near real-time HL7 and FHIR connections and batch data exchanges to a provider's EHR, data warehouse or third-party data provider, and in certain circumstances covers the direct costs of the technical integration (2026).⁠[1] Deep 6 AI could also bring in genomics, cancer registry and CTMS data (2024).⁠[10]

TriNetX data sits on hardware in the organization's data center, with a cloud-hosted option (2023). In an NHS case study, the TriNetX appliance was hosted in the trust's data center and TriNetX mapped the trust's local codes to standard terminologies (2026).⁠[17],[16]

How does each one charge?

Bond charges a volume-based fee per screened patient plus a percentage of each randomized patient's milestone payments, from randomization onward, with no integration fee. Ad spend for the Meta and Google campaigns is not included in Bond's fees; it comes out of the site's own advertising budget for the study.⁠[20] See pricing.

Tempus. We found no public price list as of October 2026. Tempus's 10-K names the clinical trial sponsor as the TIME customer and says that, depending on the agreement, Tempus recognizes revenue when it notifies a physician of a match or when a patient enrolls (2026).⁠[1]

TriNetX. Sponsors and CROs fund the platform in return for access to network data, and member organizations incur no financial costs (2023). We found no public price list as of November 2026.⁠[17]

How do Bond, Tempus and TriNetX compare, side by side?

Years in the Tempus and TriNetX columns show each source's date. "Not publicly documented" means we found no public description in the materials we reviewed (October 2026 for Tempus, November 2026 for TriNetX), not that the capability is absent.

Bond Health, Tempus (Deep 6 AI, TIME and Next Trials) and TriNetX, from public materials
CapabilityBond HealthTempus (Deep 6 AI, TIME, Next Trials)TriNetX
Reads clinical notesYes. Clinical notes, prescriptions and lab results, plus imaging data and pathology, radiology and molecular reports.⁠[19],[20]Yes. NLP of physician notes and lab, radiology, pathology and genomics reports (2023); generative AI on clinical notes (2026).⁠[9],[3]Yes. NLP-extracted facts from clinical notes, queryable next to structured data (2023, 2026).⁠[17],[13]
Evidence behind each criterion, per patientYes. Ranked matches with the evidence behind each criterion decision, traceable to the chart.⁠[19]Yes. Deep 6 AI highlighted the patient data and text behind each criterion (2024).⁠[10]Counts, not patients. Sponsors see aggregate counts per organization (2023); a paid report adds patient counts, criteria analysis and organization names (2026).⁠[17],[15]
Identified patientsYes. Named, ranked matches from the site's own records, under a BAA.⁠[19]Yes, at the site. Site staff identified each matched patient and validated eligibility in the EMR (2023); a Tempus nurse reviewed TIME matches before sending them to sites (2025).⁠[8],[5]Not for sponsors. Data is de-identified, pseudo-anonymized or a limited data set (2023); each organization re-identifies its own eligible patients (2026).⁠[17],[14]
Feasibility queries across many organizationsNo. Feasibility counts from the same EHR screening, backed by chart evidence, at the sites that run Bond.⁠[20]Not publicly documented (October 2026).Yes. Tests a study's eligibility criteria on real-world data, with site and PI-level insights for site selection (2026).⁠[13]
Pre-screens matched patientsYes. Voice and text agents pre-screen every match.⁠[20]Yes, by people. A Tempus clinical team pre-screens TIME matches (2026); Next Trials supports pre-screening at the practice (2026).⁠[3],[4]Not publicly documented (November 2026).
Contacts every matched patientYes. Immediately, by voice and text, with follow-up until they respond.⁠[20]Partial. Nurse Navigators contact patients who ask about TIME trials (2026); automated calls or texts to EHR-matched patients: not publicly documented (October 2026).⁠[6]Not publicly documented (November 2026). Study opportunities go to organizations and sites (2026).⁠[15]
Books the screening visitYes. Straight onto the site's calendar, in the same conversation as pre-screening.⁠[20],[19]Not publicly documented (October 2026). Where a contract requires, Tempus may help enroll the patient (2026).⁠[1]Not publicly documented (November 2026).
Runs ad campaigns for the studyYes. Creates and runs Meta and Google ad campaigns and contacts every ad lead immediately.⁠[20]Not publicly documented (October 2026).Not publicly documented (November 2026).
Consent support and retentionYes. Plain-language consent support with staff escalation; reminders, transportation booking and dropout-risk alerts after enrollment. The site and PI obtain consent.⁠[19],[20]Not publicly documented (October 2026).Not publicly documented (November 2026).
ConnectionMajor EHRs via FHIR and HL7 or an aggregator, with full integration in 48 hours and no integration fee.⁠[19]HL7 and FHIR connections and batch exchanges to an EHR, data warehouse or third-party data provider (2026).⁠[1]Hardware in the organization's data center, or a cloud-hosted option (2023).⁠[17]
PricingA volume-based fee per screened patient plus a percentage of each randomized patient's milestone payments, from randomization onward, with no integration fee (pricing).⁠[20]No public price list (October 2026). The trial sponsor is the TIME customer (2026).⁠[1]Sponsors and CROs fund the platform; member organizations incur no financial costs (2023).⁠[17]

See the best EHR clinical trial matching software for Triomics and Paradigm Health as well.

Who is each one best for?

  • Bond Health: best for research sites, physician groups, FQHCs, site networks, CROs and sponsors that want matches turned into booked visits, in any therapeutic area. It is the only one of the three whose public materials describe software that contacts, pre-screens and books every matched patient.⁠[19],[20]
  • Tempus: for oncology practices that want to join a sponsor-funded trial network, with a Tempus clinical team pre-screening matched patients for the site (2026).⁠[3],[1]
  • TriNetX: for sponsors and CROs judging feasibility and choosing sites, and for healthcare organizations that want query and analytics tools at no financial cost in return for contributing data (2023, 2026).⁠[13],[17]

TriNetX and Bond also fit together: a sponsor or CRO can use TriNetX to judge feasibility and pick organizations, and a site that accepts the study can use Bond to find the eligible patients in its own EHR, contact and pre-screen every one, and book them for visits.⁠[13],[14],[19],[20] See Bond vs TriNetX.

Why is Bond better than Tempus and TriNetX?

48 hours⁠[19]

typical time to go live with full EHR integration, handled by Bond's team with no integration fee

10,000+⁠[19]

charts screened per hour

Up to 3x⁠[19]

faster enrollment than manual recruitment

  • Patients, not counts or invitations. Bond returns ranked matches from the site's own records, each with the evidence behind every criterion decision, for the coordinator to review.⁠[19] In TriNetX, sponsors see aggregate counts per organization, and each organization re-identifies its own patients.⁠[17],[14]
  • Every match contacted and booked by software. Bond's voice and SMS agents start from what Identify found in the chart, skip questions the chart already answers, and pre-screen and book a visit in one conversation, in the patient's language.⁠[20] Automated outreach and visit booking are not publicly documented for Tempus (October 2026) or TriNetX (November 2026).
  • Every ad lead contacted immediately, and followed up until they book. Bond creates and runs Meta and Google ad campaigns for each study. Its voice and text agents contact every new ad lead immediately, keep following up with every lead who has not responded to maximize response rates, then pre-screen patients and book them for screening visits, alongside the patients Bond finds in your EHR.⁠[20]
  • Any therapeutic area, any research site. TIME covers cancer trials, and Next Trials starts in oncology (2026).⁠[6],[4] Bond's screening is configured from each protocol's own criteria, for drug and device studies alike, and it serves physician groups and FQHCs as well as site networks, CROs and sponsors.⁠[19],[20]
  • Consent support and retention. Plain-language consent support with staff escalation, then visit reminders, transportation booking, symptom and diary collection and dropout-risk alerts after enrollment. The site and PI obtain consent.⁠[19],[20]
  • A price that follows enrollment. A volume-based fee per screened patient plus a percentage of each randomized patient's milestone payments, from randomization onward, with no integration fee. See pricing.⁠[20]
  • Security you can check. Bond is HIPAA compliant and SOC 2 Type I compliant, its information security management system is certified to ISO/IEC 27001:2022 by Advantage Partners, and its public Trust Center lists 73 HIPAA Security Rule controls, monitored continuously. See security.⁠[20],[21]

As of October 2026, Bond is the only vendor in our comparison table whose public materials describe software that both reads EHR notes against a protocol and runs its own Meta and Google ad campaigns, then contacts patients by voice and text all the way to a booked study visit.⁠[20]

Bring one protocol. We will show how Bond handles its hardest criteria, the evidence behind each decision, and how its agents would reach, pre-screen and book the patients it finds.

How was this comparison made?

Bond Health, which sells recruitment software and competes with Tempus and TriNetX, wrote this page in November 2026. Tempus facts come from Tempus's 2025 Form 10-K, Tempus web pages and press releases, a Tempus-authored conference abstract, an Ohio State customer abstract and an archived copy of Deep 6 AI's website, re-checked on October 23, 2026. TriNetX facts come from TriNetX web pages, a peer-reviewed paper written mostly by TriNetX staff and a Weill Cornell Medicine paper, read on November 8, 2026. Each is quoted in the sources below. We left out network-size figures, which TriNetX reports differently across its own pages. Bond's figures and capabilities come from its website, Trust Center and product information Bond provided. We used no private or internal competitive material.

Frequently asked questions

Is Bond better than Tempus and TriNetX?
For enrolling patients, yes. Tempus pairs EHR matching with its own clinical team, mainly for cancer trials, and TriNetX helps sponsors find organizations and invite them to studies.⁠[3],[14] Bond finds the patients in the site's EHR, contacts and pre-screens every one by voice and text, and books them for visits, in any therapeutic area, for a volume-based fee per screened patient plus a percentage of each randomized patient's milestone payments, from randomization onward (pricing).⁠[19],[20]
What is the difference between Tempus and TriNetX?
Tempus matches patients to trials from data providers agree to share, and in its TIME network a Tempus clinical team pre-screens matched patients and presents them to sites (2026).⁠[1],[3] TriNetX is a federated network of de-identified data that sponsors and CROs query for feasibility and site selection; each member organization re-identifies its own eligible patients (2023, 2026).⁠[17],[13],[14]
Do Tempus or TriNetX contact patients?
Tempus Nurse Navigators contact patients who ask about TIME trials (2026); automated calls or texts to EHR-matched patients are not publicly documented (October 2026).⁠[6] TriNetX sends study opportunities to organizations and sites, and contacting patients is not publicly documented (November 2026).⁠[15] Bond's agents contact every matched patient and every ad lead immediately and keep following up until they respond.⁠[20]
Is Deep 6 AI part of Tempus?
Yes. Tempus's 2025 Form 10-K says it acquired Deep 6 AI, Inc. on March 11, 2025, and by January 2026 Deep 6 AI's website said it was a Tempus AI company.⁠[1],[11] See Bond vs Tempus (Deep 6 AI).
Can a site use TriNetX and Bond together?
Yes. A sponsor or CRO can use TriNetX to judge feasibility and invite organizations, and a site that accepts the study can use Bond to find the eligible patients in its own records, contact and pre-screen them and book them for visits. Bond screens each patient against every open study at the site.⁠[14],[19],[20]

Sources

  1. 1.
    Tempus AI, Inc. Form 10-K for fiscal year ended December 31, 2025 · Tempus AI, Inc. / U.S. Securities and Exchange Commission, 2026
    Filed February 2026, accessed September 2026; re-checked October 23, 2026. Quote: "On March 11, 2025, the Company acquired all of… moreFiled February 2026, accessed September 2026; re-checked October 23, 2026. Quote: "On March 11, 2025, the Company acquired all of the issued and outstanding interests of Deep 6 AI, Inc." Revenue: "The Company's Trials product includes TIME clinical trial matching services and other clinical trial services"; "To the extent the contract requires, the Company may also assist in opening the clinical trial site and enrolling the patient in the clinical trial"; "depending on the type of agreement"; "revenue is recognized upon one of the following: delivery of a notification to the physician alerting them to a clinical trial match, or once a patient is enrolled in a trial"; "the customer, which is the clinical trial sponsor". Data connections: "We use a variety of near real-time connections (e.g., HL7, FHIR) and batch data exchanges"; "Our proprietary tools connect to a provider's EHR system, data warehouse, or third-party data provider to pull out relevant structured and unstructured data that the provider has agreed to provide to Tempus"; "In certain circumstances, we cover the actual direct costs associated with the technical integrations needed to create a data connection."
  2. 2.
    Tempus Announces Acquisition of Deep 6 AI · Tempus AI, Inc. press release, 2025
    Press release dated March 11, 2025, read October 23, 2026. Quotes: "today announced it has acquired Deep 6 AI, a leading… morePress release dated March 11, 2025, read October 23, 2026. Quotes: "today announced it has acquired Deep 6 AI, a leading AI-powered precision research platform for healthcare organizations and life sciences companies" and "Its AI-powered software matches patients to clinical trials by mining real-time structured and unstructured electronic medical record (EMR) data".
  3. 3.
    Tempus TIME Clinical Trial Matching for Providers · Tempus AI, Inc. (tempus.com), 2026
    Read October 23, 2026. Quote: trial matching "with a clinical team of experts pre-screening the matched patients and presenting… moreRead October 23, 2026. Quote: trial matching "with a clinical team of experts pre-screening the matched patients and presenting potentially eligible patients with a white-glove service to each site" and, under enhanced patient pre-screening, "Generative AI scans structured and unstructured clinical notes, enhancing identification of patients who may be eligible for trial participation."
  4. 4.
    Tempus Next Trials · Tempus AI, Inc. (tempus.com), 2026
    Read October 23, 2026. Quotes: "AI-enabled platform supports clinical trial pre-screening based on your patients' multimodal,… moreRead October 23, 2026. Quotes: "AI-enabled platform supports clinical trial pre-screening based on your patients' multimodal, structured and unstructured health information (clinical, imaging and molecular data)"; "Accelerate accrual to trials already open at your practice"; "AI-enhanced workflows are designed to assist site clinicians in identifying, screening and enrolling eligible patients for TIME trials."; "When ready, Next Trials can be expanded to pre-screen patients across additional disease groups beyond oncology."
  5. 5.
    A technology-enabled clinical trial program's impact on patient screening and trial enrollment in 2024 · Mallahan S, et al. (Tempus authors), ASCO Annual Meeting 2025, abstract 1506; Tempus publication page, 2025
    Journal of Clinical Oncology 43(16_suppl), https://doi.org/10.1200/JCO.2025.43.16_suppl.1506. Describes the TIME workflow in 2024.… moreJournal of Clinical Oncology 43(16_suppl), https://doi.org/10.1200/JCO.2025.43.16_suppl.1506. Describes the TIME workflow in 2024. Read on tempus.com October 23, 2026. Quote: "Qualifying matches were then reviewed by a Tempus nurse and sent to sites if confirmed eligible." Also: "structured and unstructured data generated from Electronic Medical Record integration, next generation sequencing results, and natural language processing models."
  6. 6.
    Clinical Trials for Patients | Tempus TIME · Tempus AI, Inc. (tempus.com), 2026
    Read October 23, 2026. Quote: "A Tempus Nurse Navigator will contact you within 1 business day to share information about trials… moreRead October 23, 2026. Quote: "A Tempus Nurse Navigator will contact you within 1 business day to share information about trials in our network that may be a match for you"; "Our Nurse Navigators can also speak with you and your doctor"; "The cancer clinical trials in the TIME program cover various cancer types, cancer stages, and biomarkers."
  7. 7.
    Doug Cassidy Appointed President of the Deep 6 AI Precision Research Ecosystem · Deep 6 AI (PR Newswire), 2024
    Company press release, July 24, 2024. Quote: "Healthcare organizations that become part of the Ecosystem use the company's… moreCompany press release, July 24, 2024. Quote: "Healthcare organizations that become part of the Ecosystem use the company's AI-powered software platform enterprise-wide for investigator-initiated, government-funded, and sponsored trials. Often, the technology is managed centrally (i.e., by the Clinical Trials Office)" and "the launch of our life sciences vertical in 2021".
  8. 8.
    Deep 6 AI Expands its Recruitment Acceleration Solution for Life Sciences · Deep 6 AI (PR Newswire), 2023
    Company press release, December 6, 2023. Quote: "Life sciences companies can share AI-matched patient cohorts with IRB-approved… moreCompany press release, December 6, 2023. Quote: "Life sciences companies can share AI-matched patient cohorts with IRB-approved site staff across the Deep 6 AI ecosystem. This allows sites to identify each patient, validate their eligibility with evidence in the EMR, and track their recruitment statuses" and "The site's research team can easily identify eligible patients treated by physicians other than the principal investigator, validate them, and track referrals inside the EMR."
  9. 9.
    Texas Tech University Health Sciences Center Partners with Deep 6 AI to Launch an AI Program for Clinical Trials · Deep 6 AI (PR Newswire), 2023
    Company press release, August 1, 2023. Quote: Deep 6 AI uses natural language processing to search "structured and unstructured… moreCompany press release, August 1, 2023. Quote: Deep 6 AI uses natural language processing to search "structured and unstructured EMR data points, such as physician notes, lab reports, outpatient notes, radiology reports, genomics results, and pathology reports" and "By integrating with TTUHSC's EMR, Deep 6 AI's software platform can precision-match patients to trials".
  10. 10.
    Integrating AI-Enabled Clinical Trial Matching into Operations · Stillman R, Campbell A, Humphries K, Schweitzer C. The Ohio State University Comprehensive Cancer Center; AACI CRI 2024 abstract, 2024
    Customer work-in-progress abstract on Deep 6 AI at Ohio State, accessed September 2026; re-checked October 23, 2026. Quote: "a… moreCustomer work-in-progress abstract on Deep 6 AI at Ohio State, accessed September 2026; re-checked October 23, 2026. Quote: "a user interface that speeds patient screening by presenting and highlighting patient data related to the inclusion/exclusion criteria across a longitudinal patient record"; "to be able to reference the text in which the NLP identified the keywords to view the keywords in context to confirm the finding"; "Deep 6 AI can incorporate multiple data sources beyond the electronic medical records (EMR), such as genomics, custom databases, cancer registries, CTMS, etc."
  11. 11.
    Deep 6 AI homepage (archived) · Deep 6 AI, via the Internet Archive, 2026
    Internet Archive copy of January 3, 2026. Quotes: "Deep 6 AI has joined Tempus." and "Deep 6 AI is now a Tempus AI company".… moreInternet Archive copy of January 3, 2026. Quotes: "Deep 6 AI has joined Tempus." and "Deep 6 AI is now a Tempus AI company". deep6.ai itself did not load when we checked on October 23, 2026.
  12. 12.
    TriNetX homepage · TriNetX (trinetx.com), 2026
    Read November 8, 2026. Quotes: "The Global Truth Engine for Better Human Health®"; "TriNetX connects healthcare organizations and… moreRead November 8, 2026. Quotes: "The Global Truth Engine for Better Human Health®"; "TriNetX connects healthcare organizations and researchers across the globe so they can see what's happening in real patient populations".
  13. 13.
    TriNetX LIVE™ · TriNetX (trinetx.com), 2026
    Read November 8, 2026. Quotes: "Assess the feasibility of your study's eligibility criteria with real-world data on millions of… moreRead November 8, 2026. Quotes: "Assess the feasibility of your study's eligibility criteria with real-world data on millions of current patients"; "Easily target and engage with the healthcare organizations and sites best aligned to your study with site and PI-level insights and communication tools"; "NLP-extracted Facts from Clinical Notes make clinical detail queryable in TriNetX LIVE™, next to the structured EHR data for the same de-identified patients."
  14. 14.
    TriNetX LIVE™ Connect: clinical trials and research recruitment · TriNetX (trinetx.com), 2026
    Read November 8, 2026. Quotes: "TriNetX LIVE™ Connect brings sponsors, contract research organizations (CROs), and healthcare… moreRead November 8, 2026. Quotes: "TriNetX LIVE™ Connect brings sponsors, contract research organizations (CROs), and healthcare organizations (HCOs) together"; "allowing sponsors and CROs to invite HCOs to participate in their studies and HCOs to compliantly re-identify eligible patients and bring new treatment opportunities to the bedside."
  15. 15.
    TriNetX LIVE™ Premium Services · TriNetX (trinetx.com), 2026
    Read November 8, 2026. Quotes: a "Select Report with patient counts, criteria analysis, and HCO names"; "We use TriNetX LIVE™… moreRead November 8, 2026. Quotes: a "Select Report with patient counts, criteria analysis, and HCO names"; "We use TriNetX LIVE™ Connect to send your study opportunity to selected HCOs and sites under consideration, leveraging our close relationships to drive responses. We then actively follow up with sites".
  16. 16.
    East Lancashire Hospitals NHS Trust case study · TriNetX (trinetx.com), 2026
    Undated case study, read November 8, 2026. Quotes: "Patient identifiable data does not leave the Trust since the TriNetX appliance… moreUndated case study, read November 8, 2026. Quotes: "Patient identifiable data does not leave the Trust since the TriNetX appliance is physically hosted within ELHT's data center"; "the TriNetX team mapped the local coding catalogue to platform standard terminologies".
  17. 17.
    A global federated real-world data and analytics platform for research · Palchuk MB, London JW, Perez-Rey D, et al. JAMIA Open 2023;6(2):ooad035 (most authors are TriNetX employees), 2023
    Read in full text on Europe PMC (PMC10182857), November 8, 2026. Quotes: the network's data covers "primarily the demographics,… moreRead in full text on Europe PMC (PMC10182857), November 8, 2026. Quotes: the network's data covers "primarily the demographics, diagnoses, procedures, medications, and laboratory results found in the HCO's electronic medical record", expanded to include oncology-specific data; HCOs "provide healthcare data as a de-identified, pseudo-anonymized, or limited data set"; data "may be acquired as discrete data elements or from natural language processing of medical notes and reports"; industry participants "can run queries against the entire network to capture aggregate patient counts at each HCO" and "cannot run queries against individual HCOs"; "Industry participants provide the financial resources to support, expand, and improve the technology platform in return for access to network data"; "HCOs incur no financial costs and receive data query, analytic, and visualization capabilities, as well as the hardware needed to execute the software"; "the data resides on hardware located within the HCO's data center. A cloud-hosted option is also available."
  18. 18.
    Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center · Campion TR, Sholle ET, Abedian S, et al. (Weill Cornell Medicine). International Journal of Medical Informatics, 2024, 2024
    Abstract read on Europe PMC, November 8, 2026. Quotes: "TriNetX integrated into existing institutional workflows enabled 402… moreAbstract read on Europe PMC, November 8, 2026. Quotes: "TriNetX integrated into existing institutional workflows enabled 402 requests for sponsor-initiated clinical trials, 14 % (n = 56) of which local investigators expressed interest in conducting" over a six-year period; "measurement of impact of institutional participation in the network was challenging due to lack of a common trial identifier shared across TriNetX, sponsor, and our institution."
  19. 19.
  20. 20.
    Bond Health product information · Bond Health, 2026Capabilities, pricing and compliance status described by Bond Health, October 2026.
  21. 21.
    Bond Health Trust Center · Bond Health, monitored by Vanta, 2026
    Lists 73 HIPAA Security Rule controls: infrastructure security (20), organizational security (14), internal security procedures… moreLists 73 HIPAA Security Rule controls: infrastructure security (20), organizational security (14), internal security procedures (38), and data and privacy (1), monitored continuously by Vanta.

Related pages

Ready to get started?

Enroll patients faster.

See how Bond can accelerate enrollment for your clinical trials with a personalized demo.

Book a demo

Up to 3×

faster enrollment

90%+

matching accuracy

48 hrs

to EHR integration