Cdswin trial

Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. Last Update Posted : July 28, See Contacts and Locations. Study Description. Detailed Description:. Arms and Interventions. Expected time frame - 3 months Version 2: Version 2 refined based on continuous monitoring of data. Expected time frame - 3 months Version 3: Version 3 refined based on continuous monitoring of data.

Outcome Measures. The number of days that a patient was in the hospital. Transfer to ICU from acute care study units during hospitalization. Eligibility Criteria. Study inclusion criteria for patients: Inpatients with a stay of at least 24 hours on one of our study units Study exclusion criteria for patients: Inpatients with less than 24 hours on one of our study units Patients less than 18 years of age Hospice patients Did not have a hospital encounter, patients not on one of our study units.

Contacts and Locations. Information from the National Library of Medicine To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor. Please refer to this study by its ClinicalTrials. More Information. Modeling electronic discharge summaries as a simple temporal constraint satisfaction problem. J Am Med Inform Assoc. Epub Oct The evaluation of a temporal reasoning system in processing clinical discharge summaries.

Grand challenges in clinical decision support. J Biomed Inform. Epub Sep Using empiric semantic correlation to interpret temporal assertions in clinical texts. Epub Dec Decision making preferences in the medical encounter--a factorial survey design. Serving the enterprise and beyond with informatics for integrating biology and the bedside i2b2. Albers DJ, Hripcsak G. A statistical dynamics approach to the study of human health data: resolving population scale diurnal variation in laboratory data.

Phys Lett A. Int J Med Inform. Agreement between common goals discussed and documented in the ICU. Epub Nov Use of electronic clinical documentation: time spent and team interactions.

Epub Feb 2. Senathirajah Y, Bakken S. Methods Inf Med. Epub Jun Incidence of treated cardiac arrest in hospitalized patients in the United States. Crit Care Med. Appl Nurs Res. Exploiting time in electronic health record correlations.

Epub Mar Appl Clin Inform. Clinical implications and validity of nursing assessments: a longitudinal measure of patient condition from analysis of the Electronic Medical Record. BMJ Open. Print A study of diverse clinical decision support rule authoring environments and requirements for integration. Improving situation awareness to reduce unrecognized clinical deterioration and serious safety events. Population physiology: leveraging electronic health record data to understand human endocrine dynamics.

PLoS One. Predictors of shared decision making and level of agreement between consumers and providers in psychiatric care. Community Ment Health J. Epub Jan 9. Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA. Epub Jan Smith SW, Koppel R. Healthcare information technology's relativity problems: a typology of how patients' physical reality, clinicians' mental models, and healthcare information technology differ.

Measuring the modified early warning score and the Rothman index: advantages of utilizing the electronic medical record in an early warning system. J Hosp Med. Response to a mobile health decision-support system for screening and management of tobacco use. Oncol Nurs Forum.

Epub May Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations. Representation of information about family relatives as structured data in electronic health records. Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU.

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