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ForMed | Nicole Naupold | Dienstleistungen im Gesundheitswesen — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Healthcare Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
hospimed.org ↗	71 match 1 shared topics	Hospimed - Projekte im Gesundheitswesen	de	healthcare-industry	robotsllmsaihumans	email phone	none
kaysers-consilium.com ↗	70 match 1 shared topics	Schulung und Beratung im Gesundheitswesen - Kaysers Consilium	de	healthcare-industry WordPress	robotsllmsaihumans	emailphone	none
cws-software.info ↗	70 match 1 shared topics	Softwarelösungen für das Gesundheitswesen!	de	healthcare-industry Weebly WooCommerce	robotsllmsaihumans	emailphone	none
cws-software.eu ↗	70 match 1 shared topics	Softwarelösungen für das Gesundheitswesen!	European Union de	healthcare-industry Weebly WooCommerce	robotsllmsaihumans	emailphone	none
change-med.com ↗	70 match 1 shared topics	Change im Gesundheitswesen \| Oldhafer MediChange GbR	de	healthcare-industry Wix	robots llmsaihumans	emailphone	none
physikodata.com ↗	69 match 1 shared topics	Schmutterer + Partner \| Softwareentwicklung im Gesundheitswesen	de	healthcare-industry WordPress	robotsllmsaihumans	emailphone	none
optimedis.de ↗	69 match 1 shared topics	OptiMedis - Management, Analytik & Forschung im Gesundheitswesen	Germany de	healthcare-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ohm-und-partner.com ↗	69 match 1 shared topics	Ohm & Partner - Planspiele für das Gesundheitswesen	de	healthcare-industry Weebly	robotsllmsaihumans	emailphone	none
cgm-media.at ↗	68 match 1 shared topics	Über die Digitale Transformation des Gesundheitswesens in Österreich \| CGM	Austria de	healthcare-industry	robotsllmsaihumans	emailphone	none
mig-med.com ↗	68 match 1 shared topics	MIG München – Management im Gesundheitswesen	de	healthcare-industry	robotsllmsaihumans	emailphone	none
mediconcept.org ↗	68 match 1 shared topics	mediCONcept - Organisationsentwicklung im Gesundheitswesen	de	healthcare-industry	robotsllmsaihumans	emailphone	none
nickel-berlin.de ↗	67 match 1 shared topics	Aljoscha Nickel \| Ambulante Versorgung, MVZ und Gesundheitsökonomie	Germany de	healthcare-industry Spree Commerce	robotsllmsaihumans	emailphone	none
qmgesundheit.com ↗	67 match 1 shared topics	Startseite — QMGesundheit	de	healthcare-industry WordPress	robotsllmsaihumans	emailphone	none
nicole-haack.de ↗	67 match 1 shared topics	Nicole Haack - effiziente werteorientierte Kommunikation für Gesundheitswesen und soziale Dienstleistungen - - Nicole Haack - Kommunikation für Gesundheitswesen und soziale Dienstleistungen -	Germany de	healthcare-industry	robotsllmsaihumans	emailphone	none
agenon.net ↗	67 match 1 shared topics	Agenon \| Gesellschaft für Forschung und Entwicklung im Gesundheitswesen mbH	de	healthcare-industry WordPress	robotsllmsaihumans	email phone	none
agenon.org ↗	67 match 1 shared topics	Agenon \| Gesellschaft für Forschung und Entwicklung im Gesundheitswesen mbH	de	healthcare-industry WordPress	robotsllmsaihumans	email phone	none
medecon.ruhr ↗	66 match 1 shared topics	MedEcon Ruhr \| Netzwerk der Gesundheitswirtschaft an der Ruhr	de	healthcare-industry WordPress	robots llmsaihumans	emailphone	none
neocliniq.de ↗	66 match 1 shared topics	Einführung in unsere Dienste - NeoCliniq	Germany de	healthcare-industry WordPress	robotsllmsaihumans	email phone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.