Digital AI Assistant Compared With Case Manager Support for High Blood Pressure
Tests an AI health assistant against case manager support in adults with high blood pressure.
Plain-language title generated from the registry record
Registry title: Digital Health Platform Blood Pressure Management Study
Key facts
- Where
- Taipei, TaiwanSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 75 years old?
Source: NCT07147413, who can take part
Where in Taiwan
- Taipei Veterans General HospitalTaipei, TaiwanTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Taipei Veterans General Hospital, Taiwan
- Trial code
- NCT07147413
- Record updated
- 15 July 2026
- Original description
This pilot study evaluated the effectiveness of an AI health education assistant compared to case manager support in hypertension management. Key outcomes included changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP), compliance with health behaviors, 722 goal achievement (monitoring, measurements, lifestyle improvements), and Technology Acceptance Model (TAM) metrics, including perceived usefulness (PU), perceived ease of use (PEU), and behavioral intention (BI). This study aims to examine whether the AI assistant group will achieve greater reductions in systolic and diastolic blood pressure compared to the case manager group. Additionally, it will evaluate whether the AI assistant group will demonstrate higher engagement in 722 goals and greater perceived ease of use. The results of this study are expected to provide further evidence supporting the potential of AI-driven interventions.Read full original descriptionShow less
Digital Health Platform Blood Pressure Management Study
This pilot study evaluated the effectiveness of an AI health education assistant compared to case manager support in hypertension management. Key outcomes included changes in systolic blood pressure (SBP) and diastolic blood pressure (DBP), compliance with health behaviors, 722 goal achievement (monitoring, measurements, lifestyle improvements), and Technology Acceptance Model (TAM) metrics, including perceived usefulness (PU), perceived ease of use (PEU), and behavioral intention (BI). This study aims to examine whether the AI assistant group will achieve greater reductions in systolic and diastolic blood pressure compared to the case manager group. Additionally, it will evaluate whether the AI assistant group will demonstrate higher engagement in 722 goals and greater perceived ease of use. The results of this study are expected to provide further evidence supporting the potential of AI-driven interventions.
Inclusion: Participants must meet all of the following criteria:; Aged 18 to 75 years at the time of enrollment; Able and willing to provide informed consent; Able to operate a mobile phone and interact with the digital platform; Willing to participate in home blood pressure monitoring.
Exclusion: Cognitive impairment or language barrier that prevents understanding of study procedures or informed consent; Severe comorbidities that may interfere with study participation or outcomes (e.g., advanced heart failure, end-stage renal disease); Participants will be excluded if they meet any of the following criteria:; Systolic BP consistently <120 mmHg and diastolic BP <70 mmHg, based on baseline home monitoring (considered low BP not targeted in this study); Pregnant or planning to become pregnant during the study period; Unable to operate a smartphone or digital device independently; Current participation in another interventional clinical study that could conflict with this protocol; Unwillingness to follow home blood pressure monitoring protocol or adhere to follow-up schedule.