DialysisBot: AI Chatbot for Hemodialysis Self-Management
A legfontosabb adatok
- Hol
- Molfetta (Olaszország)A helyszín megnézése
AI-kivonat: kiket keres a vizsgálat
A vizsgálat saját részvételi feltételeiből. Gép olvasta ki az oldalon álló regiszterszövegből, ezért tévedhet. Hogy ki vehet részt, azt a lenti regiszterszöveg és a vizsgálat csapata dönti el.
A vizsgálat olyan felnőtteket keres, akik tartós hemodialízis-kezelésben részesülnek, és telefonon, tableten vagy számítógépen ki tudnak próbálni egy mesterséges intelligenciával működő csevegőrobotot az öngondoskodás támogatására.
- Életkor
- 18 éves vagy idősebb
- Nem
- Nemtől függetlenül bárki részt vehet.
- A betegség stádiuma
- Tartós (krónikus) hemodialízis-kezelés.
A részvétel fő kizáró okai
- 18 évesnél fiatalabb életkor
- Jelentős kognitív károsodás, amely akadályozza az alkalmazás használatát
- Jelentős képtelenség a digitális eszközök használatára
- Nincs aláírt beleegyező nyilatkozat
Ez a vizsgálat csak dializált résztvevőket keres. A regiszter mondata, amelyen ez alapul: Patients undergoing chronic hemodialysis treatment
Gépi kiolvasás: 2026. november 12.
Helyszínek itt: Olaszország
- Centro Dialisi MolfettaMolfetta, OlaszországContact: ELENA BARILE, PhD StudentNo longer taking part
Kérdések a vizsgálat csapatának
- Milyen gyakran kell bejárnom, és egy-egy alkalom mennyi ideig tart?
- Megtérítik az utazási költséget?
- Megtarthatom a saját orvosomat?
- Mi történik, ha ki akarok lépni?
Contact the study team: see the registry record → Contacts and Locations
Oldal nyomtatása az orvosomnakA vizsgálat adatai
- Ki végzi
- University of Rome Tor Vergata
- Azonosító
- NCT07830810
- A regiszteradat frissítve
- 2026. szeptember 21.
- Eredeti leírás
End-stage kidney disease requiring hemodialysis is a chronic condition with substantial clinical, functional, and psychosocial burden. Maintaining an adequate health status between dialysis sessions depends largely on patients' ability to self-manage key aspects of treatment, including fluid restriction, dietary control, and vascular access care. Adherence in this population remains frequently suboptimal, and elevated interdialytic weight gain (IDWG), hyperphosphatemia, and hyperkalemia are among the most common complications associated with non-adherence.A teljes eredeti leírásKevesebb
DialysisBot: Design, Implementation, and Evaluation of an AI-based Conversational Agent to Support Self-management in Patients Undergoing Hemodialysis
End-stage kidney disease requiring hemodialysis is a chronic condition with substantial clinical, functional, and psychosocial burden. Maintaining an adequate health status between dialysis sessions depends largely on patients' ability to self-manage key aspects of treatment, including fluid restriction, dietary control, and vascular access care. Adherence in this population remains frequently suboptimal, and elevated interdialytic weight gain (IDWG), hyperphosphatemia, and hyperkalemia are among the most common complications associated with non-adherence.
DialysisBot is a multiplatform, artificial intelligence-based conversational agent designed to support hemodialysis patients in the day-to-day self-management of their disease. The system combines a generative large language model for natural dialogue management, a fine-tuned BERT classifier for recognizing the domain of each patient request (diet, fluid intake, vascular access care, or organizational aspects of dialysis), and a vector-similarity retrieval engine that limits every response to a clinically validated knowledge base preloaded by the research team and approved by the hospital institution. The system performs no autonomous web search. When the cosine similarity between a user query and the indexed reference documents falls below a predefined threshold, the system withholds a clinical answer and instead informs the patient that it cannot respond, directing them to contact healthcare staff; this mechanism is the main technical safeguard against hallucinated or unvalidated responses.
This is a prospective experimental pilot study evaluating the feasibility, acceptability, impact, and user satisfaction associated with DialysisBot as a self-management support tool for patients undergoing hemodialysis. Secondary objectives include assessing support for dietary management (phosphorus, potassium, and sodium restriction), support for interdialytic fluid intake control, whether system-provided guidance on vascular access management (arteriovenous fistula and central venous catheter) is put into practice and consistent with current standards of care, the impact on treatment adherence, and the barriers, facilitators, and overall user experience associated with the intervention.
The study is organized into two methodological phases: a quantitative longitudinal phase (T0 baseline, T1 at 1 month, T2 at 3 months) using standardized patient-reported outcome measures and routine clinical parameters, followed by a qualitative phase conducted after T2, based on semi-structured interviews analyzed through reflexive thematic analysis. A convenience sample of 20-40 adult patients undergoing chronic hemodialysis, recruited through a participating dialysis center and/or an online patient community, will be enrolled and trained on the application before use. As a pilot feasibility study, its results are intended to inform the design and sample size of future, larger-scale confirmatory trials.
Bevonási feltételek: Age ≥ 18 years; Patients undergoing chronic hemodialysis treatment; Availability of a compatible digital device (smartphone, tablet, or computer); Adequate understanding of the Italian language; Sufficient basic digital literacy; Signed informed consent A purposive subsample (n = 10-15) of enrolled participants will additionally take part in semi-structured qualitative interviews at the end of the study.
Kizáró feltételek: Significant cognitive impairment preventing use of the application; Age under 18 years; Significant inability to use digital tools; Absence of signed informed consent.