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
| # | Firm | Evidence score | Industry evidence | Headquarters |
|---|---|---|---|---|
| 1 | DataArt Technology consultancy | 90/100 |
| New York, New York, USA |
| 2 | N-iX Engineering partner | 89/100 |
| Valletta, Malta |
| 3 | NTT DATA Global systems integrator | 88/100 |
| Tokyo, Japan |
| 4 | Slalom Technology consultancy | 87/100 |
| Seattle, Washington, USA |
| 5 | Tiger Analytics Data & AI specialist | 87/100 |
| Santa Clara, California, USA |
| 6 | Protiviti Technology consultancy | 84/100 |
| Menlo Park, California, USA |
| 7 | Wipro Global systems integrator | 84/100 |
| Bengaluru, Karnataka, India |
| 8 | Xebia Technology consultancy | 84/100 |
| Atlanta, Georgia, USA |
| 9 | HCLTech Global systems integrator | 82/100 |
| Noida, India |
| 10 | Infosys Global systems integrator | 81/100 |
| Bengaluru, Karnataka, India |
| 11 | phData Data & AI specialist | 80/100 |
| Minneapolis, Minnesota, USA |
| 12 | CGI Global systems integrator | 79/100 |
| Montreal, Quebec, Canada |
| 13 | Tata Consultancy Services Global systems integrator | 78/100 |
| Mumbai, Maharashtra, India |
| 14 | Accenture Global systems integrator | 76/100 |
| Dublin, Ireland |
| 15 | Lovelytics Data & AI specialist | 76/100 |
| Arlington, Virginia, USA |
| 16 | Tredence Data & AI specialist | 76/100 |
| San Jose, California, USA |
| 17 | Analytics8 Data & AI specialist | 74/100 |
| Chicago, Illinois, USA |
| 18 | Quantiphi Data & AI specialist | 74/100 |
| Marlborough, Massachusetts, USA |
| 19 | Thoughtworks Technology consultancy | 73/100 |
| Chicago, Illinois, USA |
| 20 | Capgemini Global systems integrator | 72/100 |
| Paris, France |
| 21 | Deloitte Big Four | 72/100 |
| London, United Kingdom |
| 22 | EPAM Systems Technology consultancy | 72/100 |
| Newtown, Pennsylvania, USA |
| 23 | Fractal Data & AI specialist | 72/100 |
| Mumbai, Maharashtra, India |
| 24 | IBM Consulting Global systems integrator | 71/100 |
| Armonk, New York, USA |
| 25 | ZS Data & AI specialist | 70/100 |
| Evanston, Illinois, USA |
| 26 | Algoscale Data & AI specialist | 68/100 |
| Newark, New Jersey, USA |
| 27 | Avanade Technology consultancy | 68/100 |
| Seattle, Washington, USA |
| 28 | Cognizant Global systems integrator | 67/100 |
| Teaneck, New Jersey, USA |
| 29 | EY Big Four | 67/100 |
| London, United Kingdom |
| 30 | ScienceSoft Engineering partner | 67/100 |
| McKinney, Texas, USA |
| 31 | Tech Mahindra Global systems integrator | 67/100 |
| Pune, India |
| 32 | InData Labs Data & AI specialist | 63/100 |
| Cyprus |
| 33 | Innowise Engineering partner | 63/100 |
| Warsaw, Poland |
| 34 | KPMG Big Four | 63/100 | London, United Kingdom | |
| 35 | Vention Engineering partner | 63/100 |
| New York, New York, USA |
| 36 | Binariks Engineering partner | 62/100 |
| Torrance, California, USA |
| 37 | Mu Sigma Data & AI specialist | 57/100 |
| Austin, Texas, USA |
| 38 | RTS Labs Engineering partner | 57/100 | Richmond, Virginia, USA | |
| 39 | BCG X Strategy consultancy | 54/100 |
| Boston, Massachusetts, USA |
| 40 | Datatonic Data & AI specialist | 51/100 |
| London, United Kingdom |
| 41 | QuantumBlack, AI by McKinsey Strategy consultancy | 48/100 |
| No single headquarters |
| 42 | PwC Big Four | 40/100 | London, United Kingdom | |
| — | Palantir Technologies Platform vendor servicesNot ranked | 61/100 |
| Miami, Florida, USA |
| — | Databricks Forward Deployed Engineering Platform vendor servicesNot ranked | 50/100 |
| San Francisco, California, USA |
- 190/100DataArtTechnology consultancy
- Industry page
- Headquarters
- New York, New York, USA
- 289/100N-iXEngineering partner
- Industry page
- Headquarters
- Valletta, Malta
- 388/100NTT DATAGlobal systems integrator
- Industry page
- Headquarters
- Tokyo, Japan
- 487/100SlalomTechnology consultancy
- Industry page
- Headquarters
- Seattle, Washington, USA
- 587/100Tiger AnalyticsData & AI specialist
- Databricks
- Listed in Databricks directory for Healthcare & Life Sciences
- Headquarters
- Santa Clara, California, USA
- 684/100ProtivitiTechnology consultancy
- Industry page
- Headquarters
- Menlo Park, California, USA
- 784/100WiproGlobal systems integrator
- Industry page
- Headquarters
- Bengaluru, Karnataka, India
- 884/100XebiaTechnology consultancy
- Industry page
- Headquarters
- Atlanta, Georgia, USA
- 982/100HCLTechGlobal systems integrator
- Industry page
- Headquarters
- Noida, India
- 1081/100InfosysGlobal systems integrator
- Industry page
- Headquarters
- Bengaluru, Karnataka, India
- 1180/100phDataData & AI specialist
- Industry page
- Headquarters
- Minneapolis, Minnesota, USA
- 1279/100CGIGlobal systems integrator
- Industry page
- Headquarters
- Montreal, Quebec, Canada
- 1378/100Tata Consultancy ServicesGlobal systems integrator
- Industry page
- Headquarters
- Mumbai, Maharashtra, India
- 1476/100AccentureGlobal systems integrator
- Industry page
- Headquarters
- Dublin, Ireland
- 1576/100LovelyticsData & AI specialist
- Industry page
- Headquarters
- Arlington, Virginia, USA
- 1676/100TredenceData & AI specialist
- Industry page
- Headquarters
- San Jose, California, USA
- 1774/100Analytics8Data & AI specialist
- Industry page
- Headquarters
- Chicago, Illinois, USA
- 1874/100QuantiphiData & AI specialist
- Industry page
- Headquarters
- Marlborough, Massachusetts, USA
- 1973/100ThoughtworksTechnology consultancy
- Industry page
- Headquarters
- Chicago, Illinois, USA
- 2072/100CapgeminiGlobal systems integrator
- Industry page
- Headquarters
- Paris, France
- 2172/100DeloitteBig Four
- Databricks
- Listed in Databricks directory for Healthcare & Life Sciences
- Headquarters
- London, United Kingdom
- 2272/100EPAM SystemsTechnology consultancy
- Industry page
- Headquarters
- Newtown, Pennsylvania, USA
- 2372/100FractalData & AI specialist
- Industry page
- Headquarters
- Mumbai, Maharashtra, India
- 2471/100IBM ConsultingGlobal systems integrator
- Industry page
- Headquarters
- Armonk, New York, USA
- 2570/100ZSData & AI specialist
- Industry page
- Headquarters
- Evanston, Illinois, USA
- 2668/100AlgoscaleData & AI specialist
- Industry page
- Headquarters
- Newark, New Jersey, USA
- 2768/100AvanadeTechnology consultancy
- Industry page
- Headquarters
- Seattle, Washington, USA
- 2867/100CognizantGlobal systems integrator
- Industry page
- Headquarters
- Teaneck, New Jersey, USA
- 2967/100EYBig Four
- Industry page
- Headquarters
- London, United Kingdom
- 3067/100ScienceSoftEngineering partner
- Industry page
- Headquarters
- McKinney, Texas, USA
- 3167/100Tech MahindraGlobal systems integrator
- Industry page
- Headquarters
- Pune, India
- 3263/100InData LabsData & AI specialist
- Industry page
- Headquarters
- Cyprus
- 3363/100InnowiseEngineering partner
- Industry page
- Headquarters
- Warsaw, Poland
- 3463/100KPMGBig Four
- Headquarters
- London, United Kingdom
- 3563/100VentionEngineering partner
- Industry page
- Headquarters
- New York, New York, USA
- 3662/100BinariksEngineering partner
- Industry page
- Headquarters
- Torrance, California, USA
- 3757/100Mu SigmaData & AI specialist
- Industry page
- Headquarters
- Austin, Texas, USA
- 3857/100RTS LabsEngineering partner
- Headquarters
- Richmond, Virginia, USA
- 3954/100BCG XStrategy consultancy
- Industry page
- Headquarters
- Boston, Massachusetts, USA
- 4051/100DatatonicData & AI specialist
- Case study
- Unlocking Cost Savings + Faster Decisions with Silver Hill Hospital · Silver Hill Hospital
- Headquarters
- London, United Kingdom
- 4148/100QuantumBlack, AI by McKinseyStrategy consultancy
- Industry page
- Headquarters
- No single headquarters
- 4240/100PwCBig Four
- Headquarters
- London, United Kingdom
- —61/100Palantir TechnologiesPlatform vendor servicesNot ranked
- Industry page
- Headquarters
- Miami, Florida, USA
- —50/100Databricks Forward Deployed EngineeringPlatform vendor servicesNot ranked
- Industry page
- 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.
| Project | Typical data | What makes it hard |
|---|---|---|
| EHR and claims integration | EHR extracts, HL7 v2 feeds, FHIR APIs, X12 claim (837) and remittance (835) files | Mapping each source's codes and identifiers, and matching the same patient across systems |
| Analytics platform for PHI | The sources above, landed in a cloud warehouse or lakehouse | Role-based access, audit logging, de-identified development copies, and a business associate agreement with every vendor in the chain |
| Quality, operations and revenue cycle reporting | Encounters, scheduling, claims, denials | Agreeing metric definitions with clinical and finance owners |
| Population health and risk models | Claims, diagnoses, labs, social needs data | Checking model performance across patient groups and explaining scores to clinicians |
| Life sciences data | Clinical trial, real-world and commercial data | FDA rules for electronic records, which set when they are accepted as equivalent to paper (FDA Part 11 guidance) |
| Clinical text and generative AI | Clinical notes, documents, images | PHI 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.
| Standard | What it carries | Why it matters for a data project |
|---|---|---|
| HL7 FHIR | Clinical and administrative data as API resources. The current published version is R5 (5.0.0); R4 (4.0.1) is the version US certification uses | The 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 APIs | Claims, clinical and prior authorization data exchanged by health plans | The 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 2 | Event messages such as admissions, lab results and orders | Common for real-time feeds from hospital systems |
| C-CDA | Clinical documents such as visit summaries | Common in document exchange between providers |
| X12 837 and 835 | Claims and remittance advice | The core of revenue cycle and payer analytics |
| Code sets: ICD-10-CM, SNOMED CT, LOINC, RxNorm | Diagnoses, clinical findings, lab tests, medications | Analytics 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.
- 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?
- People and location. Who will have access to PHI, with what role-based permissions, and where are they located?
- 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?
- Sources. Which EHR platforms, FHIR APIs, HL7 v2 interfaces and X12 files have you integrated, and how do you match patients across systems?
- Controls. How do you log access, enforce the minimum necessary standard and review permissions once the platform is live?
- AI. If the work uses language models, where are prompts and outputs stored, are they logged, and which agreement covers the model provider?
- 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.
- 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.
- 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.
- Use cases. Quality and operational reporting, revenue cycle analytics, risk models or AI applications, each with a named clinical or business owner.
- 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
- Business Associates Frequently Asked Questions — U.S. Department of Health and Human Services, 2026hhs.gov
- Direct Liability of Business Associates — U.S. Department of Health and Human Services, 2021hhs.gov
- Guidance on HIPAA & Cloud Computing — U.S. Department of Health and Human Services, 2022hhs.gov
- Breach Notification Rule — U.S. Department of Health and Human Services, 2013hhs.gov
- Guidance Regarding Methods for De-identification of Protected Health Information — U.S. Department of Health and Human Services, 2025hhs.gov
- 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
- HIPAA Security Rule Notice of Proposed Rulemaking — U.S. Department of Health and Human Services, 2024hhs.gov
- FHIR v5.0.0 (R5) — HL7 International, 2023hl7.org
- FHIR Release 4 (v4.0.1) — HL7 International, 2019hl7.org
- §170.315(g)(10) Standardized API for patient and population services — Assistant Secretary for Technology Policy / ONC, HealthIT.govhealthit.gov
- CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) — Centers for Medicare & Medicaid Services, 2024cms.gov
- Part 11, Electronic Records; Electronic Signatures — Scope and Application — U.S. Food and Drug Administration, 2003fda.gov
- CALC+ Quick Rate: Hourly Labor Ceiling Rates (accessed October 23, 2026) — U.S. General Services Administration, 2026buy.gsa.gov
- Databricks partner directory — Databricks, 2026databricks.com
Related directory pages
By capability