Last reviewed · How we verify
NCT03713333: ASE-INNOVATE
Implementing Digital Health in a Learning Health System
NA trial testing Digital Health Device Diagnostics in Cardiovascular Diseases in 374 participants. Completed in 20 March 2020.
20 December 2019
Quick facts
| Lead sponsor | Scripps Health |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | sequential |
| Masking | triple |
| Primary purpose | screening |
| Enrollment | 374 |
| Start date | 20 October 2018 |
| Primary completion | 20 December 2019 |
| Estimated completion | 20 March 2020 |
| Sites | 1 location across United States |
Drugs / interventions tested
- Digital Health Device Diagnostics
Conditions studied
- Cardiovascular Diseases — all drugs for Cardiovascular Diseases →
- Hypertension — all drugs for Hypertension →
- Heart Failure — all drugs for Heart Failure →
- Atrial Fibrillation — all drugs for Atrial Fibrillation →
Sponsor
Scripps Health — full company profile →
Who can join
18 and older, any sex, with Cardiovascular Diseases or Hypertension. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The need for new models of integrated care that can improve the efficiency of healthcare and reduce the costs are key priorities for health systems across the United States. Treatment costs for patients with at least one chronic medical or cardiovascular condition make up over 4-trillion dollars in spending on healthcare, with estimations of a population prevalence of 100-million affected individuals within the next decade. Therefore, the management of chronic conditions requires innovative and new implementation methods that improve outcomes, reduce costs, and increase healthcare efficiencies. Digital health, the use of mobile computing and communication technologies as an integral new models of care is seen as one potential solution. Despite the potential applications, there is limited data to support that new technologies improve healthcare outcomes. To do so requires; 1) robust methods to determine the impact of new technologies on healthcare outcomes and costs; and 2) evaluative mechanisms for how new devices are integrated into patient care. In this regard, the proposed clinical trial aims to advance the investigator's knowledge and to demonstrate the pragmatic utilization of new technologies within a learning healthcare system providing services to high-risk patient populations.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
Atrial fibrillation: epidemiology, screening and digital health.
Linz D, Gawalko M, Betz K, Hendriks JM, et al · · 2024 · cited 230× · PMID 38362546 · DOI 10.1016/j.lanepe.2023.100786 -
Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications.
Gautam N, Ghanta SN, Mueller J, Mansour M, et al · · 2022 · cited 35× · PMID 36552971 · DOI 10.3390/diagnostics12122964
Verify or expand the search:
- PubMed search for NCT03713333
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03713333 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Scripps Health
- Last refreshed: 18 April 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03713333.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing