| Title |
Big data in pharmacy practice: current use, challenges, and the future
|
|---|---|
| Published in |
Integrated Pharmacy Research and Practice, August 2015
|
| DOI | 10.2147/iprp.s55862 |
| Pubmed ID | |
| Authors |
Carolyn Ma, Helen Wong Smith, Cherie Chu, Deborah T Juarez |
| Abstract |
Pharmacy informatics is defined as the use and integration of data, information, knowledge, technology, and automation in the medication-use process for the purpose of improving health outcomes. The term "big data" has been coined and is often defined in three V's: volume, velocity, and variety. This paper describes three major areas in which pharmacy utilizes big data, including: 1) informed decision making (clinical pathways and clinical practice guidelines); 2) improved care delivery in health care settings such as hospitals and community pharmacy practice settings; and 3) quality performance measurement for the Centers for Medicare and Medicaid and medication management activities such as tracking medication adherence and medication reconciliation. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Russia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 15% |
| Researcher | 11 | 12% |
| Student > Bachelor | 9 | 10% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Postgraduate | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 36 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 14 | 15% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 8 | 9% |
| Engineering | 5 | 5% |
| Social Sciences | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 38 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2018.
All research outputs
#7,501,669
of 23,573,357 outputs
Outputs from Integrated Pharmacy Research and Practice
#45
of 104 outputs
Outputs of similar age
#86,296
of 265,688 outputs
Outputs of similar age from Integrated Pharmacy Research and Practice
#3
of 6 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.