2017
DOI: 10.1001/jamacardio.2017.3089
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Targeting the Correct Population When Designing Transitional Care Programs for Medicare Patients Hospitalized With Heart Failure

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Cited by 6 publications
(3 citation statements)
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“…More advanced strategies, such as screeners based on brain natriuretic peptide (BNP) levels and administration of intravenous diuretics, can be employed. 14,15 In the near future, deep learning-based natural language processing will be applied to mine fulltext data in the electronic health record to identify heart failure hospitalizations. 16 In the hospital, patients can also receive education about heart failure disease management.…”
Section: During Hospitalizationmentioning
confidence: 99%
See 1 more Smart Citation
“…More advanced strategies, such as screeners based on brain natriuretic peptide (BNP) levels and administration of intravenous diuretics, can be employed. 14,15 In the near future, deep learning-based natural language processing will be applied to mine fulltext data in the electronic health record to identify heart failure hospitalizations. 16 In the hospital, patients can also receive education about heart failure disease management.…”
Section: During Hospitalizationmentioning
confidence: 99%
“…We deployed this query, finding very high sensitivity for detection of heart failure patients. 14 Patients found to have heart failure were then populated into a list in the electronic health record, which made patients' heart failure status visible to all members of the health care team. Using this list, we were able to automate several processes necessary for heart failure care.…”
Section: Process Of Process Improvement: Our Experiencesmentioning
confidence: 99%
“…In 2015, as part of a multidisciplinary intervention to improve outcomes for hospitalized heart failure patients, we systematically identified all patients within our hospital at risk for heart failure-related readmissions through a daily enterprise data warehouse screen; 4 developed a multidisciplinary bridge and transition team to engage patients during the index hospitalization; and then deployed queuing theory to first assess and then improve clinic follow-up.…”
mentioning
confidence: 99%