Physician Network Discovery starts from the physicians you already know, your customers, advisors and KOLs, and finds the physicians they trained, worked, published or ran trials with. When a strong path exists, ask your contact for an introduction before the first email goes out.
Illustration: three physicians a team knows, each linked to an invented target physician leader by how they know each other.
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.
Paths in your network
Dmand AI checks where US physicians trained, worked, published and ran clinical trials to find the people who connect you to a target. Every connection shows how the two physicians know each other and how strong the tie is.
HCPs
Training, affiliations, publications and clinical trials, matched to one record per physician.Explore HCP dataHospitals
Current coworkers and past colleagues at the same hospital count as a warm path.Browse hospitalsMedical groups
Members of the same medical group count as a warm path to each other.Browse medical groupsHow teams look for warm intros today
Most teams look for a warm path to a physician in one of three ways. Here is what each one finds, next to what Dmand AI finds for the same target.
A rep posts "Does anyone know the oncology chair at Harlow?" and the answer depends on who reads it and what they recall that day.
A shared connection could be a close colleague or someone who accepted a request years ago, and the network shows no difference.
They map who your reps have already emailed, so they miss the physicians your advisors trained or published with.
Asking around the team reaches only what people remember
From people you know to an introduction
Follow one health IT rep from adding the physicians his team knows to asking for an introduction. Each person and organization in the scenes is made up for this example.
Illustration: four invented physicians a team knows, added as the starting point for network discovery.
01
Theo adds Ferncliff's clinical advisors, customer physicians and a KOL the team works with, then runs Discover Network.
02
Dmand AI lists every physician linked to Theo's contacts with a connection strength from 0 to 100, and Theo narrows the list to Harlow Health to find the chair he wants to meet.
03
Dr. Elena Voss is connected with three of the added physicians, through a shared fellowship, papers written together and a clinical trial run together, so Theo picks the strongest path.
04
Theo uses the AI talking points to ask Dr. Haddad for an introduction, saves Dr. Voss as a contact, and adds the targets with weak paths to a sequence.
How warm paths work
Relationship selling in healthcare works when the person making the introduction has real history with the physician you want to meet.
Current coworkers at the same hospital, past colleagues at the same hospital, members of the same medical group, graduates of one medical school, residency or fellowship program, co-authors of a paper, and co-investigators on a clinical trial.
The strongest paths run through colleagues who work together today, several papers or trials together, or the same training program in nearby years.
Warm paths by team
Each team turns a different group of physicians into warm leads.
Health IT and services
Add the physician champions at your customer hospitals and see which of them trained or worked with the leader you want to meet.
Dmand AI for Health ITHealthtech and digital health
Your advisors' co-authors and former colleagues include the physician leaders who can sponsor a pilot at their own group.
Dmand AI for digital healthMedical staffing and recruiting
Physicians you placed before know the department chairs at the hospitals where they worked, which turns a cold staffing pitch into a referral.
Dmand AI for staffingConsulting and agencies
Add the physician leaders from past engagements and see who they know at the system you are pitching next.
Dmand AI for consultingMedTech and medical supplies
Add the surgeon advisors and KOLs who use your device and find the surgeons who shared their residency or fellowship.
Dmand AI for MedTechPharma, biotech and CROs
Your PIs have run trials and published with other investigators, who are the first people to ask about a new study site.
Dmand AI for life sciencesTest it on your network
Add a few physicians you know well and check whether the paths match what you already know about them.
No credit card and no sales call.
Customers, advisors or KOLs work best.
See who they connect you to.
Look for colleagues and co-authors you already know about.
Illustration: a checklist for one physician a team knows, with coworkers, classmates and co-authors checked, and trial co-investigators still to check.
Warm introduction questions
What sales and partnership leaders ask before they ask for an introduction. Not here? Email hello@dmand.ai.
Relationship mapping is a picture of who knows whom around the people you want to reach: colleagues, classmates, co-authors and past coworkers. In healthcare sales it shows which of your customers, advisors or KOLs can introduce you to a physician or physician leader. Dmand AI builds that map from where physicians trained, worked, published and ran clinical trials.
Find someone the physician already knows well, such as a colleague, a classmate from residency or a co-author, and ask that person for a short introduction that says why the meeting is worth their time. In Dmand AI, add the physicians you know, run Discover Network and pick the contact with the strongest path. Ask for introductions; never pay for them.
It finds six kinds of path: current coworkers at the same hospital, past colleagues at the same hospital, members of the same medical group, shared training at a medical school, residency or fellowship, co-authors of published papers, and co-investigators on clinical trials. Each connection shows which of these paths links the two physicians.
Every physician found gets a connection strength from 0 to 100 with a label such as Very strong. The score is higher when the tie is recent, repeated or shared with more of the physicians you added, for example a current coworker or a co-author on several papers.
Yes. Open the physician's profile in Dmand AI and go to the Warm Path tab to see the paths that lead to them. Discover Network works the other way, starting from the physicians you know.
Add the physicians who already like working with you: physician champions at customer sites, clinical advisors, KOLs and investigators you work with, and physicians on your own team. The more of them you add, the more paths Dmand AI can find.
LinkedIn shows that two people are connected, not how they know each other. Most relationship intelligence platforms read your team's own email and calendar. Physician Network Discovery uses healthcare records of training, affiliations, publications and clinical trials, so it finds paths through physicians your team has never emailed.
Yes, when the executive is a physician with an NPI, such as a chief medical officer, CMIO or department chair. For non-clinical executives, use Org Hierarchy Explorer to see who works with them at each hospital and site.
Hospital and medical group affiliations come from the CMS provider registry and CMS enrollment records, training from medical school, residency and fellowship records, co-authorship from PubMed and trial co-investigators from ClinicalTrials.gov. Dmand AI matches them to one record per physician.
Reach the physician directly. Add them to a sequence with email steps, calls and LinkedIn tasks, or let Zeus AI write a personal first email for your rep to review. Run Discover Network again as you add customers and advisors.
Yes. The trial is 30 days free, self-serve and needs no credit card, and it previews the full dataset with trial credits. Plans and credits after the trial are on the pricing page.
Physician Network Discovery
Find out who already knows the physicians on your target list
Add the physicians you know, run Discover Network and ask for your first warm introduction.