DCF Research

Directory · Healthcare & life sciences

Healthcare Data Consulting Firms, Ranked by Public Evidence

Of the 50 data and AI consulting firms DCF Research tracks, 44 show public evidence of healthcare or life sciences work: a dedicated industry page, a published case study in the sector, or a Databricks partner listing for Healthcare & Life Sciences. Among them, the highest overall DCF Evidence Scores belong to DataArt, N-iX and NTT DATA. The list shows who has visible experience in the sector; it does not assess HIPAA compliance or delivery quality, so check the points below before any firm touches patient data.

Edited by Peter Korpak·Evidence checked ·How we score

Qualifying firms, ranked by evidence score

44 of 50 tracked firms · evidence checked October 23, 2026

  1. 1
    DataArt
    Technology consultancy
    90/100
    Headquarters
    New York, New York, USA
  2. 2
    N-iX
    Engineering partner
    89/100
    Industry page
    Headquarters
    Valletta, Malta
  3. 3
    NTT DATA
    Global systems integrator
    88/100
    Industry page
    Headquarters
    Tokyo, Japan
  4. 4
    Slalom
    Technology consultancy
    87/100
    Headquarters
    Seattle, Washington, USA
  5. 5
    Tiger Analytics
    Data & AI specialist
    87/100
    Databricks
    Listed in Databricks directory for Healthcare & Life Sciences
    Headquarters
    Santa Clara, California, USA
  6. 6
    Protiviti
    Technology consultancy
    84/100
    Industry page
    Headquarters
    Menlo Park, California, USA
  7. 7
    Wipro
    Global systems integrator
    84/100
    Industry page
    Headquarters
    Bengaluru, Karnataka, India
  8. 8
    Xebia
    Technology consultancy
    84/100
    Headquarters
    Atlanta, Georgia, USA
  9. 9
    HCLTech
    Global systems integrator
    82/100
    Headquarters
    Noida, India
  10. 10
    Infosys
    Global systems integrator
    81/100
    Headquarters
    Bengaluru, Karnataka, India
  11. 11
    phData
    Data & AI specialist
    80/100
    Headquarters
    Minneapolis, Minnesota, USA
  12. 12
    CGI
    Global systems integrator
    79/100
    Industry page
    Headquarters
    Montreal, Quebec, Canada
  13. 13
    Tata Consultancy Services
    Global systems integrator
    78/100
    Industry page
    Headquarters
    Mumbai, Maharashtra, India
  14. 14
    Accenture
    Global systems integrator
    76/100
    Industry page
    Headquarters
    Dublin, Ireland
  15. 15
    Lovelytics
    Data & AI specialist
    76/100
    Headquarters
    Arlington, Virginia, USA
  16. 16
    Tredence
    Data & AI specialist
    76/100
    Industry page
    Headquarters
    San Jose, California, USA
  17. 17
    Analytics8
    Data & AI specialist
    74/100
    Industry page
    Headquarters
    Chicago, Illinois, USA
  18. 18
    Quantiphi
    Data & AI specialist
    74/100
    Industry page
    Headquarters
    Marlborough, Massachusetts, USA
  19. 19
    Thoughtworks
    Technology consultancy
    73/100
    Headquarters
    Chicago, Illinois, USA
  20. 20
    Capgemini
    Global systems integrator
    72/100
    Industry page
    Headquarters
    Paris, France
  21. 21
    Deloitte
    Big Four
    72/100
    Databricks
    Listed in Databricks directory for Healthcare & Life Sciences
    Headquarters
    London, United Kingdom
  22. 22
    EPAM Systems
    Technology consultancy
    72/100
    Headquarters
    Newtown, Pennsylvania, USA
  23. 23
    Fractal
    Data & AI specialist
    72/100
    Headquarters
    Mumbai, Maharashtra, India
  24. 24
    IBM Consulting
    Global systems integrator
    71/100
    Headquarters
    Armonk, New York, USA
  25. 25
    ZS
    Data & AI specialist
    70/100
    Industry page
    Headquarters
    Evanston, Illinois, USA
  26. 26
    Algoscale
    Data & AI specialist
    68/100
    Industry page
    Headquarters
    Newark, New Jersey, USA
  27. 27
    Avanade
    Technology consultancy
    68/100
    Industry page
    Headquarters
    Seattle, Washington, USA
  28. 28
    Cognizant
    Global systems integrator
    67/100
    Headquarters
    Teaneck, New Jersey, USA
  29. 29
    EY
    Big Four
    67/100
    Headquarters
    London, United Kingdom
  30. 30
    ScienceSoft
    Engineering partner
    67/100
    Headquarters
    McKinney, Texas, USA
  31. 31
    Tech Mahindra
    Global systems integrator
    67/100
    Headquarters
    Pune, India
  32. 32
    InData Labs
    Data & AI specialist
    63/100
    Headquarters
    Cyprus
  33. 33
    Innowise
    Engineering partner
    63/100
    Headquarters
    Warsaw, Poland
  34. 34
    KPMG
    Big Four
    63/100
    Headquarters
    London, United Kingdom
  35. 35
    Vention
    Engineering partner
    63/100
    Industry page
    Headquarters
    New York, New York, USA
  36. 36
    Binariks
    Engineering partner
    62/100
    Headquarters
    Torrance, California, USA
  37. 37
    Mu Sigma
    Data & AI specialist
    57/100
    Industry page
    Headquarters
    Austin, Texas, USA
  38. 38
    RTS Labs
    Engineering partner
    57/100
  39. 39
    BCG X
    Strategy consultancy
    54/100
    Industry page
    Headquarters
    Boston, Massachusetts, USA
  40. 40
    Datatonic
    Data & AI specialist
    51/100
    Headquarters
    London, United Kingdom
  41. 41
    QuantumBlack, AI by McKinsey
    Strategy consultancy
    48/100
    Industry page
    Headquarters
    No single headquarters
  42. 42
    PwC
    Big Four
    40/100
  43. —
    Palantir Technologies
    Platform vendor servicesNot ranked
    61/100
    Headquarters
    Miami, Florida, USA
  44. —
    Databricks Forward Deployed Engineering
    Platform vendor servicesNot ranked
    50/100
    Headquarters
    San Francisco, California, USA

Ranked by DCF Evidence Score (0–100), which counts verifiable public evidence and does not measure delivery quality. How we score. Every link opens a public page, checked October 23, 2026; outcomes described on those pages are the firms’ own claims.

Platform vendors’ own services teams are shown for comparison and are not ranked.

What does a healthcare data consulting firm do?

It builds and runs the data systems behind clinical, operational and financial decisions at hospitals, health plans and life sciences companies: integrating electronic health record (EHR) and claims data, building analytics platforms that can hold protected health information (PHI), and delivering reporting, risk models and AI within HIPAA’s rules.

Most healthcare data engagements take one of these shapes. The technology is the same as in other industries; the difference is the data, its standards and the rules on who may see it.

ProjectTypical dataWhat makes it hard
EHR and claims integrationEHR extracts, HL7 v2 feeds, FHIR APIs, X12 claim (837) and remittance (835) filesMapping each source's codes and identifiers, and matching the same patient across systems
Analytics platform for PHIThe sources above, landed in a cloud warehouse or lakehouseRole-based access, audit logging, de-identified development copies, and a business associate agreement with every vendor in the chain
Quality, operations and revenue cycle reportingEncounters, scheduling, claims, denialsAgreeing metric definitions with clinical and finance owners
Population health and risk modelsClaims, diagnoses, labs, social needs dataChecking model performance across patient groups and explaining scores to clinicians
Life sciences dataClinical trial, real-world and commercial dataFDA rules for electronic records, which set when they are accepted as equivalent to paper (FDA Part 11 guidance)
Clinical text and generative AIClinical notes, documents, imagesPHI in prompts and logs, vendor agreements for every model and hosting service, human review of outputs

Firms in the table above differ in which of these they have published case studies for; each firm's evidence links show the specifics. For the platform side, see data engineering consulting and data governance consulting firms.

What does HIPAA require when a consultant handles patient data?

A consultant that creates, receives, maintains or transmits protected health information on behalf of a covered entity is a business associate. It needs a signed business associate agreement before it receives PHI, must comply with the HIPAA Security Rule, and must report a breach to you no later than 60 days after discovering it.

The US Department of Health and Human Services (HHS) sets out the rules on its HIPAA pages. The points that matter most when you hire a data firm:

  • Data analysis is business associate work. HHS lists data analysis, claims processing and billing among the activities that make a vendor a business associate, alongside IT contractors that support systems holding electronic PHI (HHS business associates FAQ).
  • The agreement comes first. The business associate agreement (BAA) must describe the permitted uses of PHI, and under the Security Rule it must require the vendor and its subcontractors to comply with the rule and report security incidents, including breaches (HHS).
  • Subcontractors are covered too. A subcontractor that handles PHI for your consultant is itself a business associate, and your consultant must sign a BAA with it before passing PHI on. Ask for the full chain, including staffing partners and cloud services.
  • The vendor is directly liable. Since the HITECH Act and the 2013 final rule, business associates are directly liable for, among other things, Security Rule compliance, impermissible uses and disclosures, breach notification and limiting PHI to the minimum necessary (HHS fact sheet).
  • Encryption does not remove the need for a BAA. HHS says a cloud provider that stores electronic PHI is a business associate even if it holds only encrypted data and lacks the key (HHS cloud guidance).
  • Breach clock. A business associate must notify the covered entity without unreasonable delay and no later than 60 days from discovery of a breach (HHS Breach Notification Rule).
  • De-identified data is the alternative. HIPAA recognizes two de-identification methods: Safe Harbor, which removes 18 listed types of identifiers, and Expert Determination, in which a qualified expert documents that the risk of re-identification is very small (HHS de-identification guidance).

HHS proposed the first update to the Security Rule since 2013 in December 2024, and the proposal would apply to business associates as well. When we checked in October 2026, HHS still described it as a proposed rule (HHS), so confirm its status before you write security terms into a contract.

Which interoperability standards should a healthcare data partner know?

HL7 FHIR above all: certified EHRs must offer FHIR R4 APIs, including bulk export for groups of patients, and CMS requires many health plans to run FHIR-based APIs. Older standards still carry much of the data, so a partner also needs HL7 version 2 messages, C-CDA documents, X12 claims and the main clinical code sets.

StandardWhat it carriesWhy it matters for a data project
HL7 FHIRClinical and administrative data as API resources. The current published version is R5 (5.0.0); R4 (4.0.1) is the version US certification usesThe US certification criterion for standardized APIs, §170.315(g)(10), requires FHIR R4 with the US Core implementation guide, SMART App Launch authorization and FHIR Bulk Data group export (ASTP/ONC). Bulk export is how a data platform pulls population-level data from a certified EHR
CMS payer APIsClaims, clinical and prior authorization data exchanged by health plansThe CMS Interoperability and Prior Authorization final rule (CMS-0057-F) requires impacted payers to build FHIR-based Provider Access, Payer-to-Payer and Prior Authorization APIs, with API requirements due primarily by January 1, 2027 (CMS)
HL7 version 2Event messages such as admissions, lab results and ordersCommon for real-time feeds from hospital systems
C-CDAClinical documents such as visit summariesCommon in document exchange between providers
X12 837 and 835Claims and remittance adviceThe core of revenue cycle and payer analytics
Code sets: ICD-10-CM, SNOMED CT, LOINC, RxNormDiagnoses, clinical findings, lab tests, medicationsAnalytics depends on mapping local codes to these consistently

Ask candidates which of these they have built pipelines for, against which EHR or payer systems, and whether the client will take a reference call.

What should you ask a healthcare data consultant before hiring?

Ask for the business associate agreement they will sign and the full list of subcontractors and cloud services that will touch PHI, where those people are based, how they keep PHI out of development and test environments, which EHR and claims sources they have integrated, and for a reference from a similar organization.

  1. Agreements. Will you sign our BAA as written? Which subcontractors, staffing partners and cloud or AI services will handle PHI, and do you have BAAs with each?
  2. People and location. Who will have access to PHI, with what role-based permissions, and where are they located?
  3. Environments. How do you de-identify or mask data for development and testing? Who performs an Expert Determination if Safe Harbor removes fields the analysis needs?
  4. Sources. Which EHR platforms, FHIR APIs, HL7 v2 interfaces and X12 files have you integrated, and how do you match patients across systems?
  5. Controls. How do you log access, enforce the minimum necessary standard and review permissions once the platform is live?
  6. AI. If the work uses language models, where are prompts and outputs stored, are they logged, and which agreement covers the model provider?
  7. Evidence. Which healthcare case studies on your website did this team deliver, on which platform, and can we speak to that client?

Send the same questions to every shortlisted firm with our RFP template so the answers can be compared.

How are healthcare data projects usually structured?

Most run in three phases: a short assessment that inventories PHI sources, data flows and agreements; a build on a platform covered by a BAA; then ongoing support. Settle the agreements, data-access approvals and de-identified test data before the build starts, because engineers cannot work until they can reach the data.

  1. Assessment (often fixed fee). Inventory sources and PHI flows, map every party that will touch PHI and the agreements each needs, and agree the target architecture and first use cases.
  2. Foundation build. Ingest EHR and claims data, match patients across sources, and put access controls, audit logging and de-identified development copies in place before analysts get access.
  3. Use cases. Quality and operational reporting, revenue cycle analytics, risk models or AI applications, each with a named clinical or business owner.
  4. Run. Monitoring and support, plus periodic access reviews; if the consultant keeps PHI access, its BAA stays in force.

Platform migration work follows the same pattern as in other sectors; see platform modernization consulting. Budgets are covered on the pricing page.

Frequently asked questions

Is there such a thing as a HIPAA-certified consultant?

Not from the government. HHS says it does not endorse or otherwise recognize private organizations’ certifications regarding the Security Rule, and that such certifications do not absolve covered entities of their legal obligations. Treat a certification badge as marketing and ask for the BAA, policies and controls instead.

Can offshore or nearshore teams work on our patient data?

HIPAA does not prohibit it. HHS says electronic PHI may be stored with a cloud provider outside the United States under a BAA, but warns that overseas outsourcing may increase risks and should be weighed in the Security Rule risk analysis. Your contracts with payers or government programs may add their own limits, so check them first.

Can a consultant use real patient data in development and testing?

Only if those environments and people are covered by the BAA and access is limited to the minimum necessary. A safer pattern is to develop and test on de-identified or synthetic data and keep identifiable data in the controlled production environment.

How much do healthcare data consultants charge?

Healthcare-specific public rates are scarce. On GSA schedules, Accenture Federal Services lists a Health Data Architect at a $263 hourly ceiling and NTT DATA Federal a Health IT Data Analyst at $96, while the median across all vendors is $158 for data architects and $116 for data analysts. These are maximum prices for US federal buyers, not commercial quotes.

Sources

  1. Business Associates Frequently Asked Questions — U.S. Department of Health and Human Services, 2026hhs.gov
  2. Direct Liability of Business Associates — U.S. Department of Health and Human Services, 2021hhs.gov
  3. Guidance on HIPAA & Cloud Computing — U.S. Department of Health and Human Services, 2022hhs.gov
  4. Breach Notification Rule — U.S. Department of Health and Human Services, 2013hhs.gov
  5. Guidance Regarding Methods for De-identification of Protected Health Information — U.S. Department of Health and Human Services, 2025hhs.gov
  6. Are we required to "certify" our organization’s compliance with the standards of the Security Rule? — U.S. Department of Health and Human Services, 2013hhs.gov
  7. HIPAA Security Rule Notice of Proposed Rulemaking — U.S. Department of Health and Human Services, 2024hhs.gov
  8. FHIR v5.0.0 (R5) — HL7 International, 2023hl7.org
  9. FHIR Release 4 (v4.0.1) — HL7 International, 2019hl7.org
  10. §170.315(g)(10) Standardized API for patient and population services — Assistant Secretary for Technology Policy / ONC, HealthIT.govhealthit.gov
  11. CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) — Centers for Medicare & Medicaid Services, 2024cms.gov
  12. Part 11, Electronic Records; Electronic Signatures — Scope and Application — U.S. Food and Drug Administration, 2003fda.gov
  13. CALC+ Quick Rate: Hourly Labor Ceiling Rates (accessed October 23, 2026) — U.S. General Services Administration, 2026buy.gsa.gov
  14. Databricks partner directory — Databricks, 2026databricks.com