2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:T40f,270 women were included in the final analysis (intervention n=132, usual care n=138; mean age 34, 60.4% from a self-reported non-Caucasian ethnic group). There was no difference in the primary outcome [hazard ratio (HR) 1.0, 95%CI 0.57-1.76; p=0.99]. There was also no difference in secondary fetal and maternal outcomes. The intervention group had fewer total antenatal attendances (median [inter-quartile range (IQR)]: 14 [10-17]) compared to usual care (16 [13-20]; p< 0.01), as well as fewer planned outpatient appointments (median [IQR]: 10 [8-12] vs. 13 [10-16]; p<0.01), without an associated increase in unscheduled hospital presentations. Women undertaking remote blood pressure monitoring were less likely to be admitted to hospital for any cause [HR 0.54, 95% confidence interval (CI) 0.30-0.97; p=0.04], as well as specifically for hypertension [HR 0.41, 95%CI 0.19-0.88, p=0.02]. More antihypertensive prescriptions filled per patient in the intervention arm compared to usual care (median [IQR]: 5 [3-9] vs. 3 [2-5]; p<0.01).31:Tc90,Women at high risk for developing preeclampsia are recommended to have additional blood pressure surveillance, but frequent outpatient attendances are demanding for patients and the healthcare system. It is unclear whether remote blood pressure monitoring can replace conventional office-based monitoring and improve healthcare utilisation without increasing the signal for harm. To evaluate the effects of substituting clinic blood pressure monitoring with remote blood pressure monitoring on fetal and maternal outcomes, and healthcare utilisation, in pregnant women at high risk of developing preeclampsia. Unblinded, non-inferiority, multicentre randomized controlled trial, with recruitment between July 2022 and February 2024 from 3 metropolitan hospitals in Australia. Participants were pregnant women at high-risk of developing preeclampsia based on clinical risk factors or combined first trimester screening tests, who are routinely referred to a specialist hypertension service for extra blood pressure surveillance, in addition to standard antenatal care. Women randomised to usual care attended these specialist hypertension clinics in-person, with frequency of appointments dictated by clinical need. Women randomised to remote blood pressure monitoring, in addition to receiving routine antenatal care, measured their own blood pressure using an automated blood pressure machine with data transmitted via a smartphone application for specialist review. The primary outcome was a perinatal composite of adverse events of at least one of perinatal loss, high-level neonatal care for over 48 hours or a small-for-gestational age baby (<10th centile for fetal weight). The primary outcome was assessed in the intention-to-treat population. The trial was prospectively registered with the Australian and New Zealand Clinical Trials Registry (ACTRN12620001049965p). 270 women were included in the final analysis (intervention n=132, usual care n=138; mean age 34, 60.4% from a self-reported non-Caucasian ethnic group). There was no difference in the primary outcome [hazard ratio (HR) 1.0, 95%CI 0.57-1.76; p=0.99]. There was also no difference in secondary fetal and maternal outcomes. The intervention group had fewer total antenatal attendances (median [inter-quartile range (IQR)]: 14 [10-17]) compared to usual care (16 [13-20]; p< 0.01), as well as fewer planned outpatient appointments (median [IQR]: 10 [8-12] vs. 13 [10-16]; p<0.01), without an associated increase in unscheduled hospital presentations. Women undertaking remote blood pressure monitoring were less likely to be admitted to hospital for any cause [HR 0.54, 95% confidence interval (CI) 0.30-0.97; p=0.04], as well as specifically for hypertension [HR 0.41, 95%CI 0.19-0.88, p=0.02]. More antihypertensive prescriptions filled per patient in the intervention arm compared to usual care (median [IQR]: 5 [3-9] vs. 3 [2-5]; p<0.01). Compared to usual care, remote blood pressure monitoring reduced antenatal outpatient appointments and the likelihood of inpatient admissions, without increasing adverse fetal and maternal outcomes. Women undertaking remote monitoring were also more likely to fill antihypertensive medication scripts.25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Remote Patient Monitoring: modality Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Remote Patient Monitoring (modality). Clinician-written summaries and actionable practice insights. 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A total of 38 exacerbations were captured, most mild-to-moderate in severity.","limitations":"The sample was small (n=73, 38 exacerbations), and most exacerbations were mild-to-moderate, limiting generalizability to severe events. Asthma and COPD were analyzed together, which may obscure disease-specific voice patterns. The study used participants' own varied mobile devices, introducing potential recording variability.","practice_takeaway":"Voice biomarkers collected on everyday smartphones may flag asthma or COPD exacerbations at their very start — before symptoms peak. Clinicians should watch this space: remote voice monitoring could one day enable earlier intervention and reduce exacerbation burden."}},{"doi":"10.1136/bmjresp-2025-003942","pmid":"42242832","title":"Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study","journal_title":"BMJ Open Respiratory Research","journal_issn":"2052-4439","published_at":"2026-06-04T00:00:00.000Z","url":"https://doi.org/10.1136/bmjresp-2025-003942","source_score":1,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-10T14:24:18.578Z","updated_at":"2026-06-10T14:24:18.578Z","tags":[{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"age_group","value":"older_adult","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"category","value":"Respiratory System","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"condition","value":"Chronic Obstructive Pulmonary Disease","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"modality","value":"Artificial Intelligence / Machine Learning","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"modality","value":"Remote Patient Monitoring","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"modality","value":"Wearable Sensor Technology","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"sample_size","value":"n=150","value_numeric":150},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"study_design","value":"Prospective Observational Study (Protocol)","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"warning","value":"Recruitment is ongoing (96/150 as of October 2025); Italian site (Pisa) has experienced delays due to pending safety regulatory approval for prototype devices, which may affect final sample size and data completeness.","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"warning","value":"Study design tag reflects the intended prospective observational cohort; the published document is a protocol only.","value_numeric":null},{"paper_doi":"10.1136/bmjresp-2025-003942","tag_type":"warning","value":"This is a study protocol, not a results paper — no clinical outcome data are available yet. Level of evidence reflects the prospective cohort design once completed, not the protocol itself.","value_numeric":null}],"summaries":{"what_studied":"This protocol describes a 12-month multicentre prospective observational study (TOLIFE CSA) enrolling 150 adults with moderate-to-severe COPD (≥1 prior exacerbation) across Spain, Italy, and Germany to develop AI models—using continuous data from 6 unobtrusive smart sensors plus clinical data—to predict exacerbation onset and 3–6 month changes in HRQoL, dyspnoea, and exercise capacity.","key_result":"This is a study protocol; no outcome data are yet reported. As of October 2025, 96 of 150 participants had been recruited, with at least 106 moderate-to-severe exacerbation events anticipated over the follow-up period.","limitations":"- Sample size (n=150) risks prediction instability due to a high predictor-to-event ratio; variable selection is planned to mitigate overfitting.\n- Exacerbation definitions rely on treatment received (corticosteroids/hospitalisation), which may vary by healthcare system and clinician behaviour.\n- No inflammatory biomarkers (e.g., blood eosinophils, CRP) are collected, limiting the model's biological depth.","practice_takeaway":"This study is not yet actionable for clinical practice—results are pending. If validated, the AI prediction tool could help clinicians identify COPD deterioration between scheduled visits and enable earlier, targeted intervention."}},{"doi":"10.1111/aogs.70252","pmid":"42226706","title":"Self‐administered tele‐ultrasound in fetal telemonitoring: Prospective study","journal_title":"Acta Obstetricia et Gynecologica Scandinavica","journal_issn":"0001-6349","published_at":"2026-06-02T00:00:00.000Z","url":"https://doi.org/10.1111/aogs.70252","source_score":1,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-09T13:50:28.139Z","updated_at":"2026-06-09T13:50:28.139Z","tags":[{"paper_doi":"10.1111/aogs.70252","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"brand","value":"Pulsenmore ES","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"category","value":"Obstetrics & Gynecology","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"condition","value":"Fetal Monitoring","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"condition","value":"Pregnancy","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"modality","value":"Remote Patient Monitoring","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"modality","value":"Tele-Ultrasound","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"sample_size","value":"n=30","value_numeric":30},{"paper_doi":"10.1111/aogs.70252","tag_type":"sex","value":"female","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"study_design","value":"Prospective Observational Cohort Study","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"warning","value":"Level of evidence assigned as 3 (prospective cohort, no comparator); some may classify feasibility studies differently.","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"warning","value":"No active control or comparator arm; feasibility outcomes cannot be benchmarked against standard care.","value_numeric":null},{"paper_doi":"10.1111/aogs.70252","tag_type":"warning","value":"Sample is exclusively low-risk, uncomplicated singleton pregnancies — results should not be extrapolated to high-risk or complicated pregnancies without further study.","value_numeric":null}],"summaries":{"what_studied":"Feasibility and user experience of self-administered, clinician-guided tele-ultrasound (Pulsenmore ES device) in pregnant women with uncomplicated singleton pregnancies at 24–37 weeks gestation, performing 8 home scans over 28 days (n=30).","key_result":"All 30 participants completed all 8 scans (240 total); 100% success rate for fetal position, heart activity, amniotic fluid pocket, and placental location. Retrospective analysis of 226 scans showed 99.9% parameter identification and 100% interobserver agreement. Technical errors occurred in 16.3% of exams (mainly connectivity). Mean System Usability Scale score was 80.7/100; satisfaction 4.4/5.","limitations":"- Small sample (n=30) with uncomplicated, low-risk pregnancies limits generalizability to high-risk populations.\n- No comparator group (e.g., standard in-clinic ultrasound) to benchmark diagnostic accuracy.\n- 16.3% technical error rate, predominantly connection issues, may affect real-world reliability.","practice_takeaway":"Self-administered fetal tele-ultrasound with real-time clinician guidance appears feasible and well-accepted in low-risk pregnancies, achieving high image quality and usability scores. Clinicians exploring hospital-at-home obstetric monitoring should consider this as a complementary tool, while noting connectivity limitations in real-world settings."}},{"doi":"10.1016/j.ajog.2026.04.025","pmid":"42025715","title":"A randomized controlled trial comparing remote blood pressure monitoring with office-based blood pressure monitoring for women at high risk of preeclampsia","journal_title":"American Journal of Obstetrics and Gynecology","journal_issn":"0002-9378","published_at":"2026-04-24T00:00:00.000Z","url":"https://doi.org/10.1016/j.ajog.2026.04.025","source_score":12,"is_retracted":false,"is_open_access":true,"raw_metadata":{"ooir":{"day":"2026-04-25","doi":"10.1016/j.ajog.2026.04.025","days":"30","issn":"0002-9378","rank":"9","field":"Clinical Medicine","score":"12","category":"Obstetrics & Gynecology","categories":["Obstetrics & Gynecology"],"_categories":["Obstetrics & Gynecology"]},"pubmed":{"doi":"10.1016/j.ajog.2026.04.025","title":"A randomized controlled trial comparing remote blood pressure monitoring with office-based blood pressure monitoring for women at high risk of preeclampsia.","journal":"American journal of obstetrics and gynecology","methods":"","results":"$30","abstract":"$31","keywords":["blood pressure","high-risk antenatal care","high-risk pregnancy","home blood pressure monitoring","hypertensive disorders of pregnancy","mobile app","preeclampsia","remote blood pressure monitoring","remote maternal monitoring","substitution of specialist visits","telemedicine in pregnancy"],"pubmed_id":"42025715","conclusions":"","publication_date":"2026-04-24T00:00:00"},"crossref":{"DOI":"10.1016/j.ajog.2026.04.025","URL":"https://doi.org/10.1016/j.ajog.2026.04.025","ISSN":["0002-9378"],"link":[{"URL":"https://api.elsevier.com/content/article/PII:S0002937826002103?httpAccept=text/xml","content-type":"text/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https://api.elsevier.com/content/article/PII:S0002937826002103?httpAccept=text/plain","content-type":"text/plain","content-version":"vor","intended-application":"text-mining"}],"page":null,"type":"journal-article","issue":null,"score":1,"title":["A randomized controlled trial comparing remote blood pressure monitoring with office-based blood pressure monitoring for women at high risk of preeclampsia"],"author":[{"given":"Theepika","family":"Rajkumar","sequence":"first","affiliation":[]},{"given":"Annemarie","family":"Hennessy","sequence":"additional","affiliation":[]},{"given":"Renuka","family":"Shanmugalingam","sequence":"additional","affiliation":[]},{"given":"Wenpeng","family":"You","sequence":"additional","affiliation":[]},{"given":"Alison","family":"Canty","sequence":"additional","affiliation":[]},{"given":"Wendy","family":"Pickup","sequence":"additional","affiliation":[]},{"given":"Daniela","family":"Potter","sequence":"additional","affiliation":[]},{"given":"Kaley","family":"Butten","sequence":"additional","affiliation":[]},{"given":"Marlien","family":"Varnfield","sequence":"additional","affiliation":[]},{"given":"Angela","family":"Makris","sequence":"additional","affiliation":[]}],"funder":[{"id":[{"id":"10.13039/100011522","id-type":"DOI","asserted-by":"publisher"}],"DOI":"10.13039/100011522","name":"Society of Obstetric Medicine of Australia and New 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Published by Elsevier Inc."}],"deposited":{"date-time":"2026-05-14T01:20:37Z","timestamp":1778721637000,"date-parts":[[2026,5,14]]},"issn-type":[{"type":"print","value":"0002-9378"}],"published":{"date-parts":[[2026,4]]},"publisher":"Elsevier BV","reference":null,"short-title":[],"update-policy":"https://doi.org/10.1016/elsevier_cm_policy","alternative-id":["S0002937826002103"],"content-domain":{"domain":["ajog.org","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"original-title":[],"container-title":["American Journal of Obstetrics and Gynecology"],"published-print":{"date-parts":[[2026,4]]},"reference-count":0,"published-online":null,"references-count":0,"short-container-title":["American Journal of Obstetrics and Gynecology"],"is-referenced-by-count":0},"unpaywall":{"doi":"10.1016/j.ajog.2026.04.025","is_oa":true,"title":"A randomized controlled trial comparing remote blood pressure monitoring with office-based blood pressure monitoring for women at high risk of preeclampsia","updated":"2026-04-22T09:11:45+00:00","published_date":"2026-04-01","best_oa_location":{"url":"https://doi.org/10.1016/j.ajog.2026.04.025","pmh_id":null,"url_for_pdf":null,"url_for_landing_page":"https://doi.org/10.1016/j.ajog.2026.04.025"}}},"created_at":"2026-05-07T22:49:41.119Z","updated_at":"2026-05-14T15:13:26.918Z","tags":[{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"category","value":"Obstetrics & Gynecology","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"condition","value":"Hypertensive Disorders of Pregnancy","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"condition","value":"Preeclampsia","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"modality","value":"Antihypertensive Therapy","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"modality","value":"Remote Patient Monitoring","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"sample_size","value":"n=270","value_numeric":270},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"sex","value":"female","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"study_design","value":"Randomized Controlled Trial","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"warning","value":"Brand name of the specific automated BP device/smartphone app used is not reported in the abstract, which may affect reproducibility.","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"warning","value":"The paper's DOI reflects a 2026 publication date, which is consistent with today's date but is ahead of typical indexing — verify final published version for any post-acceptance changes.","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"warning","value":"The primary composite outcome (HR 1.0, wide CI 0.57–1.76) is consistent with non-inferiority, but the upper CI boundary should be checked against the trial's pre-specified margin.","value_numeric":null},{"paper_doi":"10.1016/j.ajog.2026.04.025","tag_type":"warning","value":"The trial is described as 'non-inferiority' but the abstract does not specify the pre-defined non-inferiority margin, making it difficult to fully assess whether non-inferiority was formally demonstrated.","value_numeric":null}],"summaries":{"what_studied":"Unblinded non-inferiority RCT (n=270) comparing remote blood pressure monitoring (self-measured via automated device + smartphone app with specialist review) vs. in-person specialist hypertension clinic visits in pregnant women at high risk of preeclampsia, across 3 Australian hospitals (July 2022–February 2024).","key_result":"No difference in the perinatal composite outcome (perinatal loss, high-level neonatal care >48h, or SGA <10th centile; HR 1.0, 95% CI 0.57–1.76; p=0.99). Remote monitoring reduced total antenatal visits (median 14 vs. 16; p<0.01), planned outpatient appointments (10 vs. 13; p<0.01), any-cause hospital admission (HR 0.54, 95% CI 0.30–0.97; p=0.04), and hypertension-specific admission (HR 0.41, 95% CI 0.19–0.88; p=0.02). More antihypertensive prescriptions were filled in the remote arm (median 5 vs. 3; p<0.01).","limitations":"- Unblinded design may introduce performance or detection bias.\n- Single-country, 3-centre metropolitan sample (60% non-Caucasian) limits global generalisability.\n- Non-inferiority margin and statistical power assumptions are not detailed in the abstract, making it hard to assess whether the trial was adequately sized for the primary composite.","practice_takeaway":"For pregnant women at high risk of preeclampsia, remote BP monitoring can safely replace frequent specialist clinic visits — reducing office attendances and hospital admissions without worsening fetal or maternal outcomes. Clinicians should also note that remote monitoring appears to improve antihypertensive medication adherence."}}],"initialOffset":4,"fetchConfig":{"kind":"tags","tags":[{"tag_type":"modality","value":"Remote Patient Monitoring"}]},"breadcrumbItems":[{"name":"Home","href":"/"},{"name":"Research Hub","href":"/hub"},{"name":"Modalities","href":"/hub/tag/modality"},{"name":"Remote Patient Monitoring"}],"hrefConfig":{"basePath":"/hub/papers","webViewQueryParams":{"hub_ctx":"tag","hub_tag_type":"modality","hub_tag_value":"Remote Patient Monitoring"}}}]]

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