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Latest Health Informatics research

The 10 most useful health informatics studies published this week, chosen from Q1 journals and graded on the Oxford CEBM evidence hierarchy. Each paper links to a short summary and the original on PubMed. Updated 22 September 2026.

Top 10 this week

Week of 20 September 2026

  1. 1

    Modifiers of effectiveness and deterioration, and prognostic factors of adherence in internet-based interventions for treatment of perinatal depression: A systematic review and individual participant data meta-analysis

    Internet interventions · Q1 journal · SR/MA of RCTs · Evidence level 1 (High) · 3 September 2026

    Internet‑based perinatal depression interventions, no health‑IT component

  2. 2

    Robot-assisted versus freehand cannulated-screw fixation for femoral neck fractures: a systematic review of technical, clinical and adoption outcomes

    Journal of robotic surgery · Q1 journal · SR/MA of RCTs · Evidence level 1 (High) · 15 September 2026

    Systematic review of robot‑assisted femoral fracture fixation

  3. 3

    The utility of focused transthoracic echocardiography in preoperative assessment: a systematic review and narrative synthesis of current evidence

    Journal of clinical monitoring and computing · Q2 journal · SR/MA of RCTs · Evidence level 1 (High) · 17 September 2026

  4. 4

    Augmented reality in robotic urology: from 3D printed models to cognitive surgical systems. A systematic literature review

    Journal of robotic surgery · Q1 journal · SR/MA of RCTs · Evidence level 1 (High) · 16 September 2026

    A systematic review of 38 studies found that adding AR guidance to robot-assisted radical prostatectomy can reduce the incidence of positive surgical margins and improve early continence and erectile function recovery. Similar benefits were reported for partial nephrectomy, where AR helped shorten warm-ischemia time and preserve more healthy kidney tissue. Larger randomized trials are needed before AR becomes routine in urologic surgery.

  5. 5
  6. 6

    Improving Medication Safety in Chronic Kidney Disease Using Rule-Based and Artificial Intelligence-Based Clinical Decision Support Systems: A Systematic Review of Randomized Controlled Trials

    F1000Research · Q2 journal · SR/MA of RCTs · Evidence level 1 (High) · 28 August 2026

    A systematic review of 20 randomized trials found that rule-based or AI-driven decision support increased the rate of correctly dosed kidney-related medications (about 1.8-fold higher) compared with usual care, though results varied widely across settings. Documentation of CKD in electronic records also improved by about 20%, but alert fatigue limited clinician compliance, leaving real-world effectiveness uncertain.

  7. 7

    Retrieve-Then-Verify for Evaluating Evidence Support and Hallucination in Large Language Model-Generated Medical Information: Empirical Study

    JMIR AI · Q1 journal · RCT · Evidence level 1 (High) · 16 September 2026

    In an evaluation of 97 Cochrane trials, GPT-5 correctly classified overall risk-of-bias direction for every study, but only about two-thirds of its specific judgments were backed by text from the trial reports, with roughly one-third constituting hallucinations. The findings show that high decision accuracy does not guarantee source-level transparency, underscoring the need for verification steps in AI-assisted evidence synthesis.

  8. 8
  9. 9

    Efficacy of A Virtual Agent-Based Digital Intervention (Echo App V2.0) for Patients With Alcohol Use Disorder: Randomized Controlled Trial

    Journal of medical Internet research · Q1 journal · RCT · Evidence level 1 (High) · 17 September 2026

    Virtual agent for AUD treatment, not informatics

  10. 10

    Effectiveness of telehealth versus in-person appointments for the treatment of obesity in a Brazilian public tertiary care center: A randomized controlled trial

    Journal of telemedicine and telecare · Q1 journal · RCT · Evidence level 1 (High) · 17 September 2026

    Telehealth RCT, clinical outcomes only

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For healthcare professionals. Summaries are generated by AI from the published abstract and are not medical advice. Read the original paper before changing practice.