Dmand AI starts from public registries and Medicare files, adds its own executive, org hierarchy and technology data, keys each record to one identifier and links it to the sites and systems around it. This page covers each step, the sources behind each data type, how often they update and what you can see for free.
Illustration: an invented health system’s hospital, outpatient heart center and medical group lit one at a time, with the clinicians matched to each site by NPI, their license and EHR tags, and their contacts as they are checked. Invented names, masked values.
Customers
Teams selling into US healthcare use Dmand AI
Circle Health · G2 review
I like Dmand AI’s extremely curated and comprehensive healthcare database, which you won’t find on any other platform with this level of detail.
NextDimension AI · G2 review
It’s like having a hyper-personalized mail writer that’s unbelievably efficient.
Sources
Public registries are self-reported, and they often disagree. A 2013 review by the HHS Office of Inspector General found inaccurate data in 48% of the NPI registry records and 58% of the Medicare enrollment records it sampled, most often addresses. So no Dmand AI record rests on one file: each source is matched against the others before it reaches a profile.
NPPES · PECOS · Care Compare · Medicare Part B and Part D · Open Payments · state license boards
Identity, specialty and practice address come from NPPES; enrollment, PAC ID and group billing from PECOS; procedures, prescribing and industry payments from Medicare files and Open Payments.
Names, titles and role dates come from licensed business data and public sources such as leadership pages, conference agendas and press. Dmand AI sorts each title into a department and a level.
Type, CCN and services come from the Provider of Services file, beds and finances from hospital cost reports, owners from Medicare enrollment, and clinics and other sites from NPI organization records and HRSA health center data.
A group’s PAC ID, clinicians and locations come from PECOS and Care Compare, its organization NPI from NPPES, and its owner from Dmand AI’s hierarchy research.
The EHR at a practice or hospital comes from the clinician’s own CMS reporting on certified health IT, the site where they work or its parent; installed hospital systems come from Dmand AI’s technology data.
| Data type | Public sources | Dmand AI data |
|---|---|---|
| Physicians and HCPs | NPPES NPI Registry (CMS); Medicare enrollment records (PECOS); Care Compare, Doctors and Clinicians (CMS), including facility affiliations; Medicare Part B and Part D files; CMS Open Payments; state license boards; ClinicalTrials.gov; PubMed | Dmand AI Affiliation Data |
| Healthcare executives and practice staff | Owners and officers on file in PECOS; organization websites and leadership pages; conference agendas; press | Dmand AI Executive Data, with titles sorted into 38 departments and 700+ sub-departments |
| Hospitals and health systems | CMS Provider of Services file; CMS hospital cost reports; PECOS ownership; NPPES; Medicare inpatient and outpatient hospital files | Dmand AI Organization Profile Data; Dmand AI Org Hierarchy Data |
| Sites of care | NPPES organization records; CMS Provider of Services files; HRSA health center data; state licensing filings | Dmand AI Organization Profile Data; Dmand AI Org Hierarchy Data |
| Medical groups | PECOS; Care Compare, Doctors and Clinicians; NPPES | Dmand AI Org Hierarchy Data |
| EHR and technology | CMS certified health IT reporting; HRSA health center data | Dmand AI Technology Data |
| Contacts | NPPES practice phone | Waterfall enrichment across 20+ healthcare-specific sources, including licensed business data providers |
Identifiers
Names change and addresses get spelled many ways; identifiers stay the same. Dmand AI joins sources on these numbers first and standardizes names and addresses second, so a clinician who changes jobs or a hospital that rebrands keeps one record.
The 10-digit National Provider Identifier CMS issues to individual providers (Type 1) and organizations (Type 2), kept apart in Dmand AI. A deactivated NPI is flagged and hidden from search unless you ask for it.
The six-character CMS certification number of each Medicare-certified hospital and facility. One hospital is one CCN, so a merger or a new name does not split a hospital into two records.
The PECOS Associate Control ID that Medicare enrollment gives clinicians and groups. It shows which group a clinician assigns billing to, which is how group links are made.
Sites of care, medical groups and parent organizations in the org hierarchy carry a Dmand ID, starting SOC for a site and NG for a group or parent, so a site without a CCN still keeps a stable record.
Affiliations
6.4M+ affiliations tie clinicians to 675K+ sites of care. Practicing at a site, being employed there, billing through a group and running a hospital are different facts, so each link records which one it is and where it came from.
Illustration: Regional Health owns Metro Hospital and Metro Physicians; Metro Heart Center is part of Metro Hospital; a cardiologist and a nurse practitioner practice at Metro Heart Center, the cardiologist bills through Metro Physicians, and a practice manager works at the site. Invented names.
Owners on file with Medicare, cost reports and Dmand AI’s own research place each hospital, group and site under the organization that owns or runs it.
Practice addresses in NPPES and Care Compare, and the hospitals CMS lists for each clinician, become links to sites, labeled primary practice, employer or affiliated.
When a clinician assigns Medicare billing to a group in PECOS, Dmand AI links them to that group, based on enrollment rather than an email domain.
Executives, managers and staff are placed at the organization and site they work for, so the people who run a site sit beside the clinicians who practice there.
Org hierarchy
Dmand AI’s data team builds the tree and checks it against CMS ownership and enrollment filings, CMS facility files, the NPI registry and state licensing filings. Outpatient departments sit under the hospital whose CCN they bill under, and 99% of hospitals are placed under their parent organization.
Contacts
The NPI registry lists a practice phone and no email. When you ask for a contact, Dmand AI asks its sources one after another, including licensed business data providers, matches each result to the person and their site, and checks it before it reaches your list.
Illustration: Dmand AI checks its sources in turn for one invented cardiologist and returns a professional email, a personal email and a mobile number, each masked, with its status and the day it was checked. Invented names.
Email and mobile searches run separately, so a source with no mobile number never holds up the email search.
Results are matched on a clinician’s NPI and site, or a leader’s role and organization, which keeps common names at large systems apart.
Each email is marked professional or personal and deliverable or catch-all, and each mobile number valid, with the date of the last check. Many hospital mail servers accept any address, so a catch-all email is never shown as deliverable.
A lookup that finds nothing uses no credits, and you can ask for a fresh check on any contact.
Freshness
Each public source is picked up as it publishes. A change then takes the same path as the first build: it is matched to one record, the links around it are rechecked, people review what software cannot settle, and the update reaches the profile and your saved lists.
Illustration: a new registry file moves through matching, linking and review until an invented cardiologist’s practice address and billing group update on the profile. Invented names.
Registry and Medicare files publish weekly, monthly, quarterly or yearly, and each is loaded as it lands.
Names and places are standardized, so “Saint Louis” and “St. Louis”, or two spellings of one suite, count as one place.
A new practice address or billing group moves a clinician’s links, and a new owner moves a site in the tree.
Possible duplicates, mergers and changes of ownership go to people before they change a record.
The profile shows the new value with its source, and job changes are flagged in the lists that hold the person.
| Source | Publisher | Publishes | What it updates in Dmand AI |
|---|---|---|---|
| NPI registry (NPPES) | CMS | Weekly changes, a full file each month | Names, credentials, taxonomy, practice addresses, deactivations |
| Medicare enrollment (PECOS) | CMS | Quarterly | Enrollment, PAC IDs, group billing, owners on file |
| Care Compare, Doctors and Clinicians | CMS | Monthly | Practice locations, group and hospital affiliations |
| Provider of Services files | CMS | Quarterly | Facility type, CCN, services, certification |
| Hospital cost reports | CMS | As new filings post | Beds, discharges, revenue and margin |
| Medicare Part B, Part D and hospital service files | CMS | Yearly | Procedures, prescribing, hospital services |
| Open Payments | CMS | Yearly | Industry payments to clinicians |
| HRSA health center data | HRSA | As HRSA publishes | Health center sites and their EHR |
| ClinicalTrials.gov and PubMed | National Library of Medicine | As records are added | Trials and publications |
| Dmand AI Executive, Org Hierarchy, Affiliation and Technology Data | Dmand AI | Every month | Leaders, hierarchy, links, installed systems |
| Contacts | 20+ healthcare-specific sources | When you ask | Emails and mobile numbers, with the date checked |
To fix a record, use Suggest update on its profile in the app, or request data that is not there yet; both go to the Dmand AI data team. To remove your own profile, use the removal request page.
Free and in the app
Free pages answer what a search asks: who a hospital is, how big it is and who owns it. The links between people and places, the part the data team builds, open in the app.
Profiles and directories for US hospitals, medical groups and HCPs: identifiers, type, size and address, each hospital’s parent organization, a clinician’s primary practice, leaders’ names and titles, technology categories, and ranked lists of the 10 largest.
All of a record’s affiliations and colleagues, full org trees, EHR vendors and products, 100+ filters and contacts, which use credits only when found. Exports, CRM sync, signals and the Claude connector depend on the plan, and every plan starts with 30 days free.
Questions
What buyers, researchers and data teams ask about how Dmand AI’s healthcare data is built and kept current.
From public records and Dmand AI’s own data. Public sources include the CMS NPI registry (NPPES), Medicare enrollment records (PECOS), Care Compare, the CMS Provider of Services files, hospital cost reports, Medicare claims files, Open Payments, HRSA health center data, state license boards, ClinicalTrials.gov and PubMed. Dmand AI adds its executive, org hierarchy, affiliation and technology data, and finds contacts through waterfall enrichment across 20+ healthcare-specific sources.
Yes, for clinicians and medical groups. NPPES supplies each NPI, name, taxonomy and practice address; PECOS supplies Medicare enrollment, PAC IDs, the groups clinicians bill through and the owners on file. Dmand AI matches the two against each other and against Care Compare, because the two registries often disagree.
The NPI registry is self-reported, and CMS does not verify most of what providers enter. A 2013 HHS Office of Inspector General review found inaccurate data in 48% of the NPPES records and 58% of the PECOS records it sampled, mostly in addresses, and the two systems disagreed for 97% of the records. So Dmand AI never relies on one file: it matches sources against each other and sends unclear cases to its data team.
A CCN, or CMS certification number, is the six-character number CMS gives each Medicare-certified hospital and facility. Dmand AI counts one hospital per CCN, so a rebrand or a merger does not create a second record, and it places outpatient departments under the hospital whose CCN they bill under.
The PAC ID, or PECOS Associate Control ID, is the number Medicare enrollment assigns to a clinician or group. When a clinician assigns billing to a group, the two PAC IDs connect, and Dmand AI uses that connection to link clinicians to their medical groups.
From records that tie the two together: the practice locations a clinician files with CMS, the hospitals CMS lists them with and the group they bill Medicare through. Each link is labeled primary practice, employer, affiliated or billing group, and 6.4M+ such links tie clinicians to 675K+ sites of care.
Its data team places each hospital, medical group and site under the organization that owns or runs it, checked against CMS ownership and enrollment filings, CMS facility files, the NPI registry and state licensing filings. Outpatient departments sit under their hospital, and 99% of hospitals are placed under their parent organization.
When you ask for a contact, Dmand AI checks 20+ healthcare-specific sources one after another until one finds it, runs a separate waterfall for each contact type, matches the result to the person and site, and labels it with its status and the date checked. A lookup that finds nothing uses no credits.
Records for HCPs, executives and sites of care refresh every month. Each public source is loaded as it publishes: the NPI registry weekly with a full file each month, Care Compare monthly, Medicare enrollment and the Provider of Services files quarterly, and Medicare utilization and Open Payments yearly. Contacts are checked when you ask.
Use Suggest update on the record’s profile in the app. The Dmand AI data team checks it against the sources and fixes the record. To remove your own profile instead, use the removal request page on dmand.ai.
Yes. Procedure volumes and prescribing come from Medicare Part B and Part D files, and hospital services from Medicare inpatient and outpatient files, each with its year. They cover Medicare claims only, not commercial or all-payer claims.
Free profiles and directories show identifiers, type, size, address, each hospital’s parent organization, a clinician’s primary practice, leaders’ names and titles and technology categories. Full affiliations, org trees, EHR vendors and contacts are in the app, and every plan starts with 30 days free, self-serve, with no credit card.
How our data is built
Check the method on the records you know best
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