Sentence examples for pharmacy data from from inspiring English sources

Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools).

Exclusion criteria (Table 1) were applied in the computerized search of encounter forms, claims, and pharmacy data from the twelve months (reference period) prior to each index month to define the "at-risk" population.

As shown in Table 1 pharmacy data from current inpatient and outpatient EHR systems have been available since 2003 and 1995 respectively; data from historical inpatient PM as well as the financial system have been available since 1999 in the EDW.

The integration of pharmacy data from different EHR systems [ 18- 20], as well as enrichment of financial data with CMT, can allow for semantic normalization and consistent use of such data in research, and provide long-term value to institutions that have large repositories of such data.

Automated claims and pharmacy data from different health plans can be used together to allow inexpensive, routine monitoring of indicators of postoperative infection, with the goal of identifying institutions that can be further evaluated to determine if risks for infection can be reduced.

The ACG grouping system can be applied to UK morbidity and pharmacy data from both secondary and primary care activity, with the predictive modeling demonstrating the strength of utilising such data for future budgetary allocation, evaluation of provider performance and case identification.

Information on patients first diagnosed with invasive breast cancer between 1993 and 1998 was linked with outpatient pharmacy data from 1992 to 2000.

We then used KPSC computerised pharmacy data for the period from 1 January 1992 to 31 December 2000 to classify patients according to exposure to oestrogen or progestin during the study period.

The aim of this project is to examine the concordance between asthma medication pharmacy data culled from Medicaid claims data ("Medicaid pharmacy data") and patient pharmacy record data obtained from individual pharmacies ("pharmacy record data").

The data sources for this study included member enrollment, medical, and pharmacy data generated from the claims database of a large national healthcare provider.

Pharmacy data were extracted from the Pharmacy Benefits Management (PBM) dataset.