HerzMobil, an Integrated and Collaborative Telemonitoring-Based Disease Management Program for Patients With Heart Failure: A Feasibility Study Paving the Way to Routine Care (Preprint)

Ammenwerth, Elske; Modre-Osprian, Robert; Fetz, Bettina; Gstrein, Susanne; Krestan, Susanne; Dörler, Jakob; Kästner, Peter; Welte, Stefan; Rissbacher, Clemens; Pölzl, Gerhard

doi:10.2196/preprints.9936

Cited by 2 publications

(3 citation statements)

References 28 publications

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“…An example of secondary use of health data was an analysis of data from HerzMobil Tyrol (HMT), which is a telehealth-supported disease management program for heart failure patients in Tyrol, Austria for which patients are recruited after an episode of acute heart failure and receive optimized disease management care by a network of health professionals (11). In HMT, patients are given measurement equipment (e.g., a bodyweight scale, blood pressure cuff), which is connected to an app, through which patients can record daily physiological (e.g., bodyweight), fitness (e.g., steps per day) and self-reported (e.g., wellbeing) data.…”

Section: Introductionmentioning

confidence: 99%

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

Baumgartner,

Kreiner,

Lauschensky

et al. 2024

Front. Med.

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IntroductionThe potential for secondary use of health data to improve healthcare is currently not fully exploited. Health data is largely kept in isolated data silos and key infrastructure to aggregate these silos into standardized bodies of knowledge is underdeveloped. We describe the development, implementation, and evaluation of a federated infrastructure to facilitate versatile secondary use of health data based on Health Data Space nodes.Materials and methodsOur proposed nodes are self-contained units that digest data through an extract-transform-load framework that pseudonymizes and links data with privacy-preserving record linkage and harmonizes into a common data model (OMOP CDM). To support collaborative analyses a multi-level feature store is also implemented. A feasibility experiment was conducted to test the infrastructures potential for machine learning operations and deployment of other apps (e.g., visualization). Nodes can be operated in a network at different levels of sharing according to the level of trust within the network.ResultsIn a proof-of-concept study, a privacy-preserving registry for heart failure patients has been implemented as a real-world showcase for Health Data Space nodes at the highest trust level, linking multiple data sources including (a) electronical medical records from hospitals, (b) patient data from a telemonitoring system, and (c) data from Austria’s national register of deaths. The registry is deployed at the tirol kliniken, a hospital carrier in the Austrian state of Tyrol, and currently includes 5,004 patients, with over 2.9 million measurements, over 574,000 observations, more than 63,000 clinical free text notes, and in total over 5.2 million data points. Data curation and harmonization processes are executed semi-automatically at each individual node according to data sharing policies to ensure data sovereignty, scalability, and privacy. As a feasibility test, a natural language processing model for classification of clinical notes was deployed and tested.DiscussionThe presented Health Data Space node infrastructure has proven to be practicable in a real-world implementation in a live and productive registry for heart failure. The present work was inspired by the European Health Data Space initiative and its spirit to interconnect health data silos for versatile secondary use of health data.

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Section: Introductionmentioning

confidence: 99%

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

Baumgartner,

Kreiner,

Lauschensky

et al. 2024

Front. Med.

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“…고혈압의 경우 가정에 서 스스로 혈압을 측정하여 모니터링 하고 측정한 혈압 을 담당 건강관리 전문가에게 보고하는 중재들이 이루 어졌다 (Watson et al, 2012). 심장질환 (Fjeldsoe, Marshall, & Miller, 2009 (Ammenwerth et al, 2018;Guo et al, 2017;Lee, 2017;Seto et al, 2012). 자가관리는 심부전 질환자를 대상으로 한 5편 중 4편의 연구에서 대조군보다 유의하게 향상된 것으로 나타났다 (Hägglund et al, 2015;Nundy et al, 2013;Piette et al, 2015;Seto et al, 2012 (Ammenwerth et al, 2018;Hägglund et al, 2015;Nundy et al, 2013;Seto et al, 2012 (Ammenwerth et al, 2018;Guo et al, 2017;Lee, 2017;Seto et al, 2012 (Bennett et al, 2009;Heisler, 2008;Watson et al, 2012) 중재가 수행된 기간은 3개월이 5편으로 가장 많았 Kang, Hyunwook : https://orcid.org/0000-0003-0222-1184…”

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“…연구 장소는 2개 이상 기관에서 진행한 경우가 7편 중 5편으로 나타났다. 수준 분석을 위한 보행 수 측정(Ammenwerth et al, 2018;Dale et al, 2015;Lee, 2017) 등이 포함 되었으며, 자가 간호행위, 질환 관련 증상 모니터링, 약 물 복용 교육, 심전도, 식이 관리 등이 포함되었다. 이러…”

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Mobile Health Interventions for Community-Dwelling Patients with Heart Diseases: An Integrative Review

Ko¹,

Kang²

2020

J Korean Crit Care Nurs

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The purpose of this study was to review mobile health (mHealth) interventions based on studies from online databases for community-dwelling patients with heart diseases. Methods : Six databases (RISS, KISS, PubMed, CINAHL, EMBASE, and SCOPUS) were searched to select studies conducted from January 1 to September 30, 2010. After this, quality appraisals were carried out using the Scottish Intercollegiate Guidelines Network checklist and a total of 11 studies were selected. Results : The selected 11 studies included 7 randomized controlled studies, 1 quasi-experimental study and 3 pilot studies. The main components of mHealth interventions included symptom monitoring at home, provisions for individualized messages for health management using text messaging, telephone or smart phone applications, and running websites for symptom monitoring or health education. Intervention periods varied from 6 weeks to 12 months. The findings of the studies suggested that the mHealth interventions were effective in improving self-management of heart diseases, quality of life, and decreasing symptoms. Conclusions : The results of the review suggested that mHealth interventions had positive effects on community-dwelling patients with heart diseases. More mHealth intervention studies need to be conducted in Korea to aid community-dwelling patients with heart diseases.

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HerzMobil, an Integrated and Collaborative Telemonitoring-Based Disease Management Program for Patients With Heart Failure: A Feasibility Study Paving the Way to Routine Care (Preprint)

Abstract: Background: Heart failure is a major health problem associated with frequent hospital

Cited by 2 publications

References 28 publications

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses

Mobile Health Interventions for Community-Dwelling Patients with Heart Diseases: An Integrative Review

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