Health care engineering. Part II, Research and development in the health care environment /
Chapter 7 presents some statistics on the occurrence of medical errors and adverse events, and includes some technological solutions. A chapter on electronic medical records follows. The knowledge management process divided into four steps is described; this includes a discussion on data acquisition...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
[2014]
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| Series: | Synthesis lectures on biomedical engineering ;
#51. |
| Subjects: | |
| Online Access: | View fulltext via EzAccess |
Table of Contents:
- 7. Adverse events, medical errors, and the role of information technology in reducing them
- 7.1 Some statistics on medical errors and adverse events
- 7.2 Types of medical errors
- 7.3 Information technologies that can help reduce errors and adverse events
- 8. The electronic medical record (EMR): design, safety, and meaningful use
- 8.1 What is an EMR
- 8.2 Benefits regarding the use of EMRs
- 8.3 Concerns regarding the use of EMRs
- 8.4 Historical development
- 8.5 Rate of adoption in western countries
- 8.6 Barriers to adoption of the EMR
- 8.6.1 Financial
- 8.6.2 Technical
- 8.6.3 Time
- 8.6.4 Psychological
- 8.6.5 Social
- 8.6.6 Legal
- 8.6.7 Organizational
- 8.6.8 Change process
- 8.6.9 Resistance to change
- 8.6.10 Comments by physicians
- 8.7 Incentives to establish an EMR system in physician practices
- 8.7.1 United States
- 8.7.2 Canada
- 8.8 Desirable design characteristics of EMRs
- 8.9 Patient safety
- 8.10 Ethical considerations
- 8.10.1 Autonomy
- 8.10.2 Beneficence and non-maleficence
- 8.10.3 Justice
- 9. Knowledge management (KM) in a clinical environment: data acquisition, storage, and retrieval
- 9.1 The importance of integrating knowledge management (KM) into clinical care
- 9.2 The health care knowledge management (KM) process
- 9.2.1 Step 1: access to clinical data: data collection, storage, and retrieval
- 9.2.2 Step 2: knowledge discovery (KD)
- 9.2.3 Step 3: knowledge translation (KT)
- 9.2.4 Step 4: knowledge integration and sharing (KIS)
- 9.3 Clinical data repository design
- 9.4 Example of perinatal databases used in a research project
- 9.4.1 The perinatal partnership program of eastern and southeastern Ontario (PPESO) database
- 9.4.2 PRAMS (pregnancy risk assessment monitoring system) database
- 9.4.3 The Canadian neonatal network (CNN) database
- 10. Knowledge discovery (KD): data analysis and data mining tools
- 10.1 Scoring systems to estimate outcomes
- 10.2 Examples of knowledge discovery tools
- 10.2.1 Brief description of artificial neural networks (ANNs)
- 10.2.2 Case-based reasoning (CBR) system
- 11. Knowledge translation (KT), integration, and sharing (KIS) in a clinical environment
- 11.1 Clinical decision support systems (CDSS)
- 11.1.1 Design of a CDSS for the obstetrical environment
- 11.1.2 Estimating neonatal intensive care outcomes
- 11.2 Knowledge translation to users
- 11.3 Knowledge integration and sharing
- 12. Clinical trials and usability studies in a medical environment
- 12.1 Usability testing
- 12.1.1 Heuristic evaluation
- 12.1.2 Cognitive walkthrough
- 12.1.3 Videotaped evaluation
- 12.2 Clinical studies and trials
- 12.3 Conclusion
- Author biography.