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Development of SW Interface between Healthcare Standards—DASTA and HL7
- Source :
- Sustainability, Vol 12, Iss 7649, p 7649 (2020), Sustainability, Volume 12, Issue 18
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- The prescription and administration of drugs are the most common process that takes place in hospitals. Although a relatively simple process, it is considered the riskiest process in hospitals because mistakes during drug administration are among the most common ones. The aim is to introduce technological and process changes that will contribute to maximally increase the safety of the medication process and the efficiency of drug management. To support the automation of the medication process, it is desirable to use the international standard Health Level 7 (HL7). However, the Czech healthcare system currently supports the local healthcare standard&mdash<br />DASTA. For that reason, the paper introduces some of the options how to transfer data from DASTA to HL7 and deals with the development of a software (SW) interface that converts data necessary for robotic preparation of patient medication from the Czech DASTA data standard to the HL7 international standard used by selected robotics. Based on the performed analyses, a combination of robotics for the preparation of single-dose packages of drugs with one of the automated warehouses is recommended.
- Subjects :
- Drug
IDH
SW interface
Interface (Java)
Process (engineering)
Computer science
media_common.quotation_subject
Geography, Planning and Development
TJ807-830
02 engineering and technology
Management, Monitoring, Policy and Law
TD194-195
Renewable energy sources
Health care
0202 electrical engineering, electronic engineering, information engineering
automated preparation of drug
GE1-350
Medical prescription
media_common
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
business.industry
International standard
Drug administration
020207 software engineering
HL7
Data Standard
Environmental sciences
DASTA
Risk analysis (engineering)
020201 artificial intelligence & image processing
business
Healthcare system
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 12
- Issue :
- 7649
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....b1a96abdd43f5ede7e9ab2bd1ecb8b1d