Meddies

Meddies is a clinical intelligence product being developed for use inside hospital electronic medical record (EMR) systems. Its stated purpose is to sit "beside every doctor" rather than replace clinical judgment: the platform reads the hospital's existing chart and supports the clinician during the visit, while the doctor retains responsibility for reviewing, editing, and deciding. The company positions itself explicitly as a support layer, not an EMR replacement, and says it works within the hospital's existing record system. The product is organized around a small set of sourced workflows. First, Meddies summarizes the chart, turning a fragmented record into a draft summary that includes the problem list, active medications, and pending results, which the clinician reviews before signing. Second, it screens prescriptions, checking each order for drug interactions and contraindications as the clinician writes it, so any warning appears before the order is completed. Third, it shows the source: the order review keeps the material clinical finding beside an openable source so the clinician can check the underlying guidance. Fourth, it searches the history, placing past-visit history into a searchable timeline that clinicians can query in plain language. A central design principle is that evidence should remain inspectable. Where a workflow presents a sourced clinical claim, the named guidance and the review boundary are meant to stay visible. The official site illustrates this with a medication-interaction example: a warfarin and clarithromycin combination flagged as a serious bleeding risk, with the clarithromycin label's recommendation for frequent INR and prothrombin-time monitoring shown alongside a citation to DailyMed prescribing information. The doctor decides what to do next. Meddies also emphasizes localization. The company argues that clinical AI cannot simply be translated from Western data and dropped into Vietnamese hospitals; instead, it says it localizes the AI around the data, language, workflows, and clinical work that doctors in Vietnam actually use. It further states that the data and methods behind its clinical AI are built on open research that is published to be read, used, and checked. The company is recruiting people who want to build clinical AI that doctors can trust. As of the available evidence, Meddies is an early-stage, privately held product brand focused on the Vietnamese hospital market.

Meddies is a clinical intelligence product being developed for hospital use, with its public materials describing an early-stage effort rather than a long corporate history. The company presents itself as building technology that "serves healthcare, not the other way around," and frames its work around the hospital record and explicit clinical review rather than autonomous decisions. The product concept centers on supporting clinicians inside the hospital's existing EMR. According to the official site, Meddies reads the hospital's existing chart and supports the doctor during the visit. It is explicitly not an EMR replacement; instead, it operates within the hospital's existing record system. The company describes four intended workflows: summarizing the chart into a draft summary with the problem list, active medications, and pending results; screening each prescription order for drug interactions and contraindications as the clinician writes it; showing the source by keeping the material clinical finding beside an openable source; and searching history by placing past visits into a searchable timeline that clinicians can query in plain language. A defining commitment in the company's public statements is that evidence should remain inspectable. Where a workflow presents a sourced clinical claim, the named guidance and the review boundary should remain visible, and important information still requires clinical verification before use. The official site illustrates this with a medication-interaction example involving warfarin and clarithromycin, where the warning and a citation to DailyMed prescribing information are placed beside the order, leaving the decision to the doctor. Meddies also emphasizes localization as a core principle. The company states that clinical AI cannot be translated from Western data and then dropped into Vietnamese hospitals, and that it localizes the AI around the data, language, workflows, and clinical work doctors in Vietnam actually use. It further states that the data and methods its clinical AI is built on are published openly, so the evidence can be read, used, and checked. The company is recruiting people who want to build clinical AI that a doctor can trust. No founding date, founder names, headquarters location, ownership structure, or funding details are provided in the available evidence.

Clinical intelligence beside every doctor — a support layer inside the existing hospital EMR, with inspectable evidence and the clinician retaining the decision.

• Chart summarization

  Turns a fragmented chart into a draft summary with the problem list, active medications, and pending results; the clinician reviews it before signing.

• Prescription screening

  Checks each order for drug interactions and contraindications as the clinician writes it, showing any warning before the order is completed.

• Sourced order review

  Keeps the material clinical finding beside an openable source so the clinician can check the evidence before deciding.

• Searchable history timeline

  Places history from past visits into a searchable timeline that clinicians can query in plain language.

1. 1Meddies, Clinical intelligence beside every doctormeddies.ai
2. 2About Meddiesmeddies.ai
3. 3Meddieswikidata.org