Revision Flashcards

1
Q

Define Bayesian statistics

A

Bayesian statistics is a mathematical procedure that applies probabilities to statistical problems. It provides people the tools to update their beliefs in the evidence of new data

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2
Q

Define Markov Model

A

The Markov model is a simple mathematical tool that can be used to generate a detailed and accurate assessment of life expectancy and health states

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3
Q

Decision Tree

A

Good for modelling problems involving chance events that occur within a short time frame or time horizon
Terminal nodes (apart from death) are not necessarily terminal but convenient stopping points
Thinking about utility of the terminal nodes often requires us to think beyond the time horizon
In order to evaluate the utility of different branches we might need to know more temporal information
Events may repeat
They might occur over longer time periods
The sequence of events may be important
However recursive decision trees can get unwieldy very quickly

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4
Q

Define Conditional Probability

A

Probability of an event A given B equals the probability of B and A happening together divided by the probability of B.”

For example: Assume two partially intersecting sets A and B as shown below.

Set A represents one set of events and Set B represents another. We wish to calculate the probability of A given B has already happened. Lets represent the happening of event B by shading it with red

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5
Q

What is economics

A

Economics is a social science that analyzes the production, distribution, and consumption of goods and services

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6
Q

what are the seven aspects of care

A

Efficacy - does it work?
Effectiveness - how well does it work?
Efficiency - is it the best way to do it?
Equity - is it fair?
Accessibility - to everyone?
Acceptability - is it what people want?
Appropriateness - is it what people need?

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7
Q

Cost benefit analysis

A

CBA rests on the principle that society’s welfare will be improved whenever the benefits of a project exceed its costs
Comparison of intervention and their consequences

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8
Q

Perspectives of Cost Benefit Analysis

A
Patient perspective
benefit to patient 
cost to patient 
Provider’s perspective
cost to provider (DoH, NHS Trust, practice)
benefit to population in health terms
Social perspective
cost to society, including lost productivity
general health of population
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9
Q

Cost effectiveness Analysis

A

CEA applies to problems where the goal is accepted at the start and the problem is to find the best most efficient means to achieve it
Compares the relative costs and outcomes (effects) of two or more courses of action

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10
Q

Cost Utility Analysis

A

CUA is a special form of CEA that introduces measures of benefits that reflect individuals’ preferences over health consequences of alternative programs that affect them
Number of years lived in full health by the beneficiaries

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11
Q

QALY

A

Quality adjusted life year (QALY) is a common measure for comparing and cost effectiveness analysis of treatments. The outcome of any treatment is determined in terms of the resulting number of years of full health. By this approach one year at full health is equated to two years at half health.

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12
Q

Gold Standard

A

In medicine and stats GS is usually diagnostic test or benchmrk that is the best available under reasonable conditions

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13
Q

Passive decision support system

A

Provides clinicians, staff, patients with knowledge and persons specific info, intelligently filtered or presented at appropiate times to enhance patient care.

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14
Q

ROC Curve

A

A receiver operating characteristic curve, i.e., ROC curve, is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. The ROC curve is created by plotting the true positive rate against the false positive rate at various threshold settings

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15
Q

Evidence based Medicine

A

is the process of systematically reviewing, appraising and using clinical research findings to aid the delivery of optimal clinical care to patients

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16
Q

Discuss the nature of decision making and its importance in the healthcare domain. Include in your answer the decision making steps, analysing a decision making problem, pitfalls, evidence-based medicine, health delivery concerns, costs and health benefit analysis

A

Vocabulary of Decision Making

  • Developing the Argument
  • Analysing a Decision Problem
  • Decisions and Variations in Practice
  • Decision Making - the Ethical Dimension
  • Health Decision Analysis
  • Evidence Based Medicine
  • Cost benefits analysis
  • Effectiveness in healthcare
17
Q

What is a false positive?

A

b. i. False positive (FP): a positive test result for a patient without the disease, ie the test incorrectly classifies the patient as having the disease;

18
Q

What is false negative?

A

False negative (FN): a negative test result for a patient with the disease, ie the test incorrectly classifies the patient as not having the disease .

19
Q

What is Montecarlo

A

Monte Carlo simulation (also known as the Monte Carlo Method) lets you see all the possible outcomes of your decisions and assess the impact of risk, allowing for better decision making under uncertainty.

20
Q

What is a decision

A

A decision is the process of choosing a course of action in a given situation to achieve some goal (and usually involves applying some rules)

21
Q

What is a good decision

A

The most appropriate decision in the light of what the decision maker believes to be the best outcome and the most desirable future consequences after considering the available information and the context

22
Q

Decision making in healthcare perspectives:

A

Clinician
Determine what is wrong with the patient and recommend a treatment
Patient
Whether to seek medical treatment and whether to go along with the treatment a clinician recommends
Policy makers
What to promote, what to discourage, what to pay for?

23
Q

classical decision making steps

A
Recognise the need for a decision
Generate alternatives
Assess alternatives
Choose among alternatives
Implement the chosen alternative 
Learn from feedback
24
Q

information retrieval

A

Although most work in Healthcare Data Analytics focuses on mining and analyzing data from patients, another vast trove of information for use in this process includes scientific data and literature. The techniques most commonly used to access this day include those from the field of information retrieval (IR), sometimes called search. IR is the field concerned with the acquisition,organization, and searching of knowledge-based information, which is usually defined as information derived and organized from observational or experimental research [60, 66]. Although IR in biomedicine traditionally concentrated on the retrieval of text from the biomedical literature, the purview of content covered has expanded to include newer types of media that include images, video, chemical structures, gene and protein sequences, and a wide range of other digital media of relevance to biomedical education, research, and patient care. With the proliferation of IR systems and online content, even the notion of the library has changed substantially, with the new digital library emerging