Type the question your filters can’t answer about the hospitals, medical groups or HCPs on a list. Dmand AI researches each row and writes the answer beside it with the pages it used, so you can qualify accounts and personalize outreach without leaving the app.
Illustration: a list of invented primary care practices with three AI research columns already answered, and the sources and reasoning behind one answer at a time.
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.
Lists you can research
AI Research Columns is a Dmand AI feature that takes a plain-English question, researches it for each HCP, executive or organization on a list, and fills a new column with the answer, its sources and the reasoning. The lists come from the US healthcare org tree, so every answer stays on the right account and next to the people who work there.
HCPs
Physicians and other clinicians, each tied to the sites where they practice.Browse HCPsHealthcare executives
Leaders by title at health systems, hospitals and medical groups.Explore executive dataSites of care
Hospitals, clinics, surgery centers and other places care is delivered.Explore sites of careMedical groups
Each group under its parent organization, with its practice sites.Browse medical groupsAccount research today
Here is what each common approach gives a rep, next to what an AI research column gives the same rep on the same list.
A rep gets through a handful of group websites in an afternoon, and what they learn stays in their notes instead of on the list.
You import the list, connect data vendors and match each row to an organization before the first question can run.
Industry, size and location can’t tell you whether a practice offers telehealth or is hiring nurses.
Manual research covers a few accounts, not a territory
From question to outreach
Ines sells a behavioral health program to primary care practices in Oregon and needs to know which practices already offer that care on site. Ines and the practices in these scenes are invented.
Illustration: Ines adds the question “Does this practice offer behavioral health care on site?” as a new column named Behavioral Health on a list of Oregon primary care practices.
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Ines types “Does this practice offer behavioral health care on site?”, Dmand AI writes the research instructions and names the column, and the new column is ready to run on every row.
02
Every row shows Researching, then Yes, No or Not found, and opening an answer shows the pages Dmand AI read and why it answered that way.
03
Ines filters Behavioral Health to No and Not found, which leaves the practices without that care on site, and opens their decision makers next.
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Find decision makers lists the medical director and practice administrator at each remaining practice, and Ines adds those people to a sequence whose first email draws on the research.
What to ask
Ask the way you would ask a colleague, one question per column, and say what form the answer should take.
Illustration: a question with four kinds of fixed answer below it: yes, no, a vendor name and a tier.
Ask for a yes or no, a vendor name or a tier, such as “Does this clinic offer evening or weekend hours?”, and the column works like any other filter.
Illustration: a question above a summary card with two source tabs, the group website and the news.
Ask for a short summary, such as what a group’s website says about its care programs, and use it to write the first line of an email.
Questions by team
The question changes with what you sell; the list and the column work the same way.
Health IT and services
Ask whether each hospital on a list announced a system change, then work the ones in the middle of a selection.
Dmand AI for Health ITHealthtech and digital health
Ask whether each system offers care at home, then reach the leaders behind the programs that already exist.
Dmand AI for digital healthMedical staffing and recruiting
Ask whether a hospital is hiring travel nurses or locum physicians, and get the open roles and the posting behind each yes.
Dmand AI for staffingConsulting and agencies
Ask for a short summary of a system’s latest strategy news so the first meeting starts from what its leaders already said.
Dmand AI for consultingMedTech and medical supplies
Ask whether each surgery center performs total joint replacements or spine cases, and send reps to the centers that do.
Dmand AI for MedTechPharma, biotech and CROs
Ask whether each oncologist on a list presented at a recent medical meeting, with the program page as the source.
Dmand AI for life sciencesTest it on your accounts
Ask a question your reps can already answer for some accounts and see whether the column agrees.
Sign up yourself; no card needed.
Pick hospitals or groups your reps have worked for a long time.
Choose one your team knows the answer to for some rows.
Open each answer and compare it with what your team knows.
Illustration: a checklist for one list, Oregon Primary Care, with its Behavioral Health AI column checked for known answers, sources and Not found, and the filter still to check.
AI research column questions
What RevOps and sales leaders ask before they research a list with AI. Something missing? Email hello@dmand.ai.
An AI research column is a column you add to a list in Dmand AI by typing a question in plain English. An AI research agent then researches the question for every row and writes the answer, the sources it used and its reasoning into the column. You can filter the list by the answers and use them in outreach.
Ask anything a person could find on public pages or in Dmand AI’s record for the account: whether a group offers a service, which vendor a hospital announced, which roles a site is hiring for, or a short summary of a system’s priorities. Facts Dmand AI already holds as fields, such as specialty, parent organization or procedure volume, are faster to find with filters.
Turn your qualification rule into a question with a fixed answer, such as yes or no, and add it as a column to your account list. Filter the list to the accounts that pass. From there, Find decision makers shows the people at each account who can buy, ready to save to a list.
Yes. Ask for a tier and state the rule in the question, for example “Rate this practice high, medium or low fit: high if it has several locations and no behavioral health care on site.” Every row gets a tier with its reasoning, and you can filter the list by tier.
Each answer starts from the account’s record in Dmand AI, which is built from sources such as the CMS provider registry, Medicare claims, CMS Open Payments, ClinicalTrials.gov, PubMed and Dmand AI executive data. The research then reads public pages such as the organization’s website, news and job postings. With Show Sources on, every answer lists the pages it used.
Every answer comes with its sources and reasoning, so a rep can check it in one click. When nothing public answers the question, the column says Not found instead of guessing. Deep Reasoning is slower and suits harder questions, and you can edit the instructions or regenerate the column at any time.
Lists of HCPs, healthcare executives, sites of care, medical groups and other healthcare organizations. Build the list with plain-English search or filters, then add one column for each question you want answered.
Yes. An answer can fill a merge field in a sequence email, so the first line can mention what the research found. On an account list, use Find decision makers first, then add those people to the sequence.
Filters search data Dmand AI already holds, such as specialty, site type, procedures, Open Payments and EHR. An AI research column finds a fact that isn’t in any field yet and saves it to the list. Once saved, you can filter by that column like any other field.
Dmand AI is priced per seat with monthly credits, and every plan starts with a free trial. The pricing page lists what each plan includes and how credits are used.
For B2B teams that sell to US hospitals, physician groups and other providers, yes. Clay’s Claygent agents research rows in Clay tables and workflows that you build (clay.com). Dmand AI does that research on lists already placed in the US healthcare org tree, with contacts, sequences and replies in the same app.
The trial gives you 30 days free, self-serve, no credit card, with trial credits to preview the full dataset. The pricing page shows which plans include AI Research Columns.
AI Research Columns
Ask the one question your account list can’t answer yet
Add it as a column, read the answer and its sources on every row, and reach the accounts that fit.