Systems thinking relies on what type of models?
Explicit models.
Define "big data"
The high volume, variety, and potential for the rapid accumulation of data and to analytics, which is the discovery and communication of patterns in data.
In IOM Recommendations this topic group (hint: the biggest focus area) focuses on comparing how or where services are provided, rather than which services are provided.
Care delivery.
Systems thinking encourages this kind of perspective that looks at the whole health system rather than isolated parts.
Whole-system thinking/Holistic thinking
True or false: As of the publication of Big Data in Health Care, the FDA mandated review of health IT applications prior to implementation.
False, the FDA published a report saying that premarket review would not be beneficial.
What is PCORI not allowed to use when establishing healthcare recommendations or cost efficacy according to Comparative Effectiveness And Cost-Effectiveness Analyses Frequently Agree On Value?
Dollars per quality adjusted life years.
Will also accept "willingness-to-pay threshold".
All models are ____, but some are _____.
All models are wrong, but some are useful.
Name 3 of the 6 use-cases for predictive systems as outlined in Big Data in Health Care.
1. High-cost patients (will accept high-risk)
2. Readmissions
3. Triage
4. Decompensation
5. Adverse Events
6. Disease affecting multiple organ systems (will accept multiple chronic conditions)
Name 2 of the 5 exploratory variables analyzed in Comparative Effectiveness And Cost-Effectiveness Analyses Frequently Agree On Value.
1. Type of intervention
2. Type of disease
3. Source of funding
4. Prevention stage
5. Recentness of study
What tool uses "positive feedback" and "negative feedback" to identify the relationship between two components?
Causal loop diagram
How does Big Data in Health Care define predictive analytics/systems?
Software tools that allow the stratification of risk to predict an outcome, ideally linking data from multiple sources, including clinical, genetic and genomic, outcomes, claims, and social data.
According to IOM Recommendations, opponents to comparative-effectiveness research are concerned about what? Will accept any of two potential answers.
1. Lack of consideration of the differences between individual patients, preventing the progress of personalized medicine.
2. Healthcare rationing and government intrusion into the patient-doctor relationship.