Literature DB >> 4075783

Analysis of the online order entry process in an integrated hospital information system.

H Ogura, E Sagara, K Yamamoto, H Furutani, Y Kitazoe, Y Takeda.   

Abstract

In Kochi Medical School Hospital, many online order systems have been developed as a part of the integrated hospital information system named IMIS KOCHI. The prescription, laboratory and radiology orders are used frequently and entered into the system by physicians. The distribution of entry duration of these orders by physicians was analyzed and it was found that the order entry is a completely random event and the entry process consists of the two Poisson processes; the quick process and the slow process. The two Poisson processes were observed even in the do-prescription order without correction by trained physicians. It is speculated that the quick process depends on availability in the order entry system and the slow process depends on peculiarities in clinics, and the mental condition of physicians.

Mesh:

Year:  1985        PMID: 4075783     DOI: 10.1016/0010-4825(85)90073-3

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  4 in total

1.  Controlled trial of direct physician order entry: effects on physicians' time utilization in ambulatory primary care internal medicine practices.

Authors:  J M Overhage; S Perkins; W M Tierney; C J McDonald
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

Review 2.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

3.  Contrasting views of physicians and nurses about an inpatient computer-based provider order-entry system.

Authors:  M Weiner; T Gress; D R Thiemann; M Jenckes; S L Reel; S F Mandell; E B Bass
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

4.  A Method for Deriving Quasi-healthy Cohorts From Clinical Data.

Authors:  Satoshi Irino; Yukio Kurihara
Journal:  Biomed Inform Insights       Date:  2018-05-29
  4 in total

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