Schloeglhofer et al., 2018 - Google Patents
A standardized telephone intervention algorithm improves the survival of ventricular assist device outpatientsSchloeglhofer et al., 2018
View PDF- Document ID
- 785717830132270395
- Author
- Schloeglhofer T
- Horvat J
- Moscato F
- Hartner Z
- Necid G
- Schwingenschloegl H
- Riebandt J
- Dimitrov K
- Angleitner P
- Wiedemann D
- Laufer G
- Zimpfer D
- Schima H
- Publication year
- Publication venue
- Artificial organs
External Links
Snippet
Ventricular assist devices (VADs) are an established therapeutic option for patients with chronic heart failure. Continuous monitoring of VAD parameters and their adherence to guidelines are crucial to detect problems in an early stage to optimize outcomes. A …
- 230000004083 survival 0 title abstract description 19
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/327—Management of hospital data, e.g. scheduling of medical staff or operation rooms, measuring the quality or efficiency of medical staff
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Meizlish et al. | Intermediate‐dose anticoagulation, aspirin, and in‐hospital mortality in COVID‐19: A propensity score‐matched analysis | |
| Schloeglhofer et al. | A standardized telephone intervention algorithm improves the survival of ventricular assist device outpatients | |
| Vallabhajosyula et al. | Pulmonary artery catheter use in acute myocardial infarction‐cardiogenic shock | |
| Arnold et al. | Use of intensive glycemic management in older adults with diabetes mellitus | |
| Del Portal et al. | Emergency department lactate is associated with mortality in older adults admitted with and without infections | |
| Pham et al. | Seventy‐two‐hour returns may not be a good indicator of safety in the emergency department: a national study | |
| Thorp et al. | Effect of anaemia on mortality, cardiovascular hospitalizations and end‐stage renal disease among patients with chronic kidney disease | |
| Churpek et al. | Association between intensive care unit transfer delay and hospital mortality: a multicenter investigation | |
| Chan et al. | Anticoagulant and antiplatelet usage associates with mortality among hemodialysis patients | |
| Johansen et al. | Frailty and dialysis initiation | |
| Bilchick et al. | Prediction of mortality in clinical practice for medicare patients undergoing defibrillator implantation for primary prevention of sudden cardiac death | |
| Pahor et al. | Diuretic-based treatment and cardiovascular events in patients with mild renal dysfunction enrolled in the systolic hypertension in the elderly program | |
| Menis et al. | Transfusion‐associated circulatory overload (TACO) and potential risk factors among the inpatient US elderly as recorded in Medicare administrative databases during 2011 | |
| Liu et al. | Adverse outcomes associated with delayed intensive care unit transfers in an integrated healthcare system | |
| Lipsky et al. | Clinical predictors of treatment failure for diabetic foot infections: data from a prospective trial | |
| Drawz et al. | A simple tool to predict end‐stage renal disease within 1 year in elderly adults with advanced chronic kidney disease | |
| Gleason et al. | Anticoagulation management in individuals with hip fracture | |
| Auble et al. | A prediction rule to identify low‐risk patients with heart failure | |
| Kabrhel et al. | Multicenter implementation of a novel management protocol increases the outpatient treatment of pulmonary embolism and deep vein thrombosis | |
| DeFilippis et al. | Left ventricular assist device therapy in older adults: addressing common clinical questions | |
| Abdul-Rahim et al. | Associations with anticoagulation: a cross-sectional registry-based analysis of stroke survivors with atrial fibrillation | |
| Loekito et al. | Common laboratory tests predict imminent medical emergency team calls, intensive care unit admission or death in emergency department patients | |
| Johnson et al. | People aged over 75 in atrial fibrillation on warfarin: the rate of major hemorrhage and stroke in more than 500 patient‐years of follow‐up | |
| Pahuja et al. | Incidence and clinical outcomes of stroke in ST‐elevation myocardial infarction and cardiogenic shock | |
| Banga et al. | Predictors of outcome among patients on extracorporeal membrane oxygenation as a bridge to lung transplantation |