Currently, I’m working in an infection control department in a French teaching hospital. This field is without doubt my favorite because it’s close to the patients, it implies a broad range of knowledge:
- infectious diseases
- risk management,
- data management
- and some more.. (I’m still discovering this field of medecine)
But for the moment, I feel that there is a shyly usage of data science in this discipline.
I was really excited when I saw that’s one of the major paper in hospital infection control dedicated his last issue about computer and data science!
The American Journal of Infection Control is the official publication of the Association for Professionals in Infection Control and Epidemiology. It has a five-year impact factor of 2.5 in 2015. That’s not huge but quite good in this field.
In this issue, I have selected some article I plan to read carefully:
- APIC advocacy on health information technology
- Clinical decision support systems and infection prevention: To know is not enough
- Slow adoption of automated infection prevention surveillance: Are human factors contributing?
- Automated tracking and ordering of precautions for multidrug-resistant organisms: I already read it. I dream to have the same system in my healcare facility!
- Data elements and validation methods used for electronic surveillance of health care-associated infections: A systematic review
- Hospital infection control units: Staffing, costs, and priorities
- A computer-based automated reminder increases the percentage of urinary catheters justified by an order and increases urinary catheter discontinuation orders