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🖤 MT637 > DMS > Flashcards

DMS Flashcards

1
Q

__ is nonsense without __

A

informatics, data

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2
Q

Raw health care facts, generally stored as characters, words, symbols, measurements, or statistics.

A

health data

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3
Q

Ex: Blood pressure, diagnosis, medications taken, symptoms exhibited, family history, diet

A

health data

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4
Q

__ obtained after data is processed and structured into a meaningful form

A

knowledge

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5
Q

Knowledge obtained after data is processed and structured into a meaningful form

A

health information

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6
Q

data is processed, analyzed, and interpreted in order for __

A

sensible decision making

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7
Q

Facts concerning people, objects, vents, or other entities

A

data

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8
Q

__ stores data

A

databases

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9
Q

should be true and protected

A

data

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10
Q

data can only be true when collected properly with __ and __`

A

consent, appropriate manner

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11
Q

data presented in a form suitable for interpretation

A

information

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12
Q

insights into appropriate actions based on interpreted data

A

knowledge

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13
Q

data becomes __ so it becomes __

A

information, knowledge generation

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14
Q

Process of storing, protecting, and analyzing data pulled from diverse sources.

A

health data management

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15
Q

health data management should be __

A

holistic

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16
Q

t/f
health data can be easily manipulated

A

t

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17
Q

t/f
health data is structured

A

f (can be unstructured / semi structured)

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18
Q

4 Vs of data

A

volume
velocity
variety
veracity

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19
Q

data at rest

A

volume

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20
Q

terabytes to exabytes of existing data to process

A

volume

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21
Q

data in motion

A

velocity

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22
Q

streaming data, requiring milliseconds to seconds to respond

A

velocity

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23
Q

data in many forms

A

variety

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24
Q

structured, unstructured, text, multimedia

A

variety

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24
Q

data in doubt

A

veracity

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25
Q

benefits of healthcare data management

A

Create 360-degree views of consumers, patients, and households. Deploy personalized, guided interactions by integrating data from all available sources.
Enhance patient engagement with predictive modeling and analysis based on healthcare data
Improve population health outcomes in specific geographic areas by tracking current health trends and predicting upcoming ones.
Make informed, high-impact business decisions based on data insights.
Understand physician activity and align them with the organization’s goals

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25
Q

uncertainty due to data inconsistency & incompleteness, ambiguities, latency, deception, model approximation

A

veracity

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26
Q

Any object about which an organization chooses to collect data

A

entity

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27
Q

program used to build databases, populate them with data, and manipulate the data

A

database management system (DBMS)

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27
Q

messages sent to the database to access data

A

queries

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28
Q

display results
manipulate data
sort the order of records

A

purpose

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29
Q

response to queries

A

reports

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30
Q

t/f
DBMS are usually bundled with report generation module

A

t

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31
Q

use of databases may raise security and privacy issues

A

security

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32
Q

large database that supports management decision making

A

data warehouse

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33
Q

contains data, or summaries of data, from millions of transactions over many years and/or from national or global transactions

A

data warehouse

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34
Q

a magnification or expansion of the amount, types, and level of detail of data that is collected and stored

A

big data

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35
Q

Involves high volumes of data compiled from traditional, ordinary business activities, as well as newer, nontraditional sources such as social media.

A

big data

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36
Q

More facilities / equipment needed

A

big data

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37
Q

lesser facilities / equipment needed

A

small data

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37
Q

big data is a combination of __ and __

A

data stored, specific analytical tool

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37
Q

hierarchy of data

A

character
field
record
file
database

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37
Q

smallest piece of data

A

character

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38
Q

one piece of information about an entity

A

field

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39
Q

related to the same entity; fields related

A

record

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39
Q

collection of related records

A

file

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40
Q

most common identifier

A

name

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40
Q

should have an identifier

A

file

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41
Q

collection of files that are kept together

A

database

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42
Q

outcomes of data warehousing

A

data mining
online analytical processing

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43
Q

Type of intelligence that uses statistical techniques to explore large data sets; definite science

A

data mining

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44
Q

The process of selecting, exploring, and modeling large amounts of data to discover previously unknown relationships that can support decision making.

A

data mining

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45
Q

Applications that respond to commands by composing tables to analyze different dimensions of multidimensional data

A

online analytical processing

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45
Q

t/f
Data-mining software searches through large amounts of data for meaningful patterns of information.

A

t

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45
Q

data sources for healthcare quality measures

A

administrative data
patient medical health records
patient surveys
comments from individual patients
standardized clinical data
omics data
demographic data
wellness data
mhealth
emr
clinical data
diagnoses
medications
clinical notes
microbiology and lab results
chart events

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46
Q

Related to services for the patient

A

administrative data

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46
Q

advantages of administrative data

A

Available electronically
Less expensive than obtaining medical record data.
Available for an entire population of patients and across payers.
Fairly uniform (and improving) coding systems and practices.

47
Q

challenges of administrative data

A

Limited clinical information
Questionable accuracy for public reporting because the primary purpose is billing
Completeness
Timeliness.

48
Q

3 types of administrative data

A

financial data
logistic data
quality assessment

49
Q

Primarily public and private insurance claims.

A

financial data

50
Q

Important to know if the institution is feasible to function or not

A

financial data

51
Q

Logistical data pertaining to several aspects of patient care

A

logistic data

51
Q

Care-team composition and staffing metrics

A

logistic data

51
Q

Performance analyses of the service providers (i.e., reviews of clinician performance)

A

quality assessment

51
Q

Resource utilization

A

logistic data

52
Q

Patient satisfaction surveys

A

quality assessment

53
Q

Increased the accessibility of patients’ files

A

patient medical records

53
Q

Hospital Quality Measures

A

quality assessment

53
Q

A patient’s medical history and care

A

patient medical records

53
Q

To improve the ease and cost of using this information for quality measurement and reporting.

A

patient medical records

54
Q

advantages of patient medical records

A

rich in clinical detail
viewed by providers as credible

55
Q

challenges in patient medical records

A

cost, complexity, and time required to compile data
trained staff must manually abstract information

55
Q

self-reported information from patients about their health care experiences

A

patient surveys

55
Q

reports on the care, service, or treatment received and perceptions of the outcomes of care

A

patient surveys

56
Q

advantages of patient surveys

A

Captures types of information for which patients are the best source.
Well-established methods for survey design and administration.
Easy for consumers to understand and relate to survey results.

57
Q

challenges of patient medical records

A

Cost, complexity, and time required to compile data
Trained staff must manually abstract information.

58
Q

challenges of patient surveys

A

Cost of survey administration.
Possibility of misleading results
- Questions are worded poorly,
- Survey administration procedures are not standardized,
- Sampling bias
- Response bias

59
Q

Anecdotal information, include any type of information on health care quality that is gathered informally

A

comments from individual patients

59
Q

t/f
private web sites make it possible for health care consumers to share their personal experiences with health plans, hospitals, and most prominently, physicians

A

t

60
Q

advantages of comments from individual patients

A

Compelling to consumers to read about other people’s experiences.
Efficient means for conveying information and influencing people’s decisions and behavior

61
Q

Detailed information about the status of each patient at set time intervals

A

standardized clinical data

61
Q

challenges of comments from individual patients

A

Not an impartial assessment of health care quality
Not representative of the patient population.
Likely to have an undue influence on people’s health care decision making.

62
Q

MDS

A

minimum data set

62
Q

oasis

A

outcome and assessment information set

63
Q

The Minimum Data Set (MDS), the required information for nursing homes, and the Outcome and Assessment Information Set (OASIS), the data required by Medicare for certified home health agencies, store the data used in quality measures for these provider types

A

standardized clinical data

63
Q

advantages of standardized clinical data

A

Uses existing data sets.
Characterizes facility performance in multiple domains of care

63
Q

Broadly defined; represents the study of information contained within an individual’s genome and the biological derivatives of these genes

A

omics data

63
Q

challenges of standardized clinical data

A

may not address all topics of interest

64
Q

Pharmacogenomics has explored how omics data can be utilized to identify the treatment efficacy of various medications and medication dosages for a particular individual

A

omics data

65
Q

2 types of demographic data

A

intrinsic, extrinsic

66
Q

physicological characteristics; may aso include less obvious characteristics, such as allergies

A

intrinsic demographic data

67
Q

often characteristics derived from an individual’s environment and lifestyle

A

extrinsic demographic data

68
Q

physiological characteristics

A

Age
Sex
Height
Weight (to some extent)
Ethnicity

69
Q

two forms of diagnosis information provided by mimic

A

ICD diagnosis codes
diagnosis related groups (DRG)

69
Q

t/f
not all codes are in the ICD-9 standard

A

f (all are in the icd-9 standard)

69
Q

ordered by “priority”

A

ICD diagnosis codes

70
Q

Commonly Associated with Fitness Tracker

A

wellness data

70
Q

The international statistical classification of diseases and related health problems (ICD) provides __ to classify diseases and a wide variety of signs, symptoms, abnormal findings, complaints, social circumstances and external causes of injury or disease

A

alpha numeric codes

71
Q

Classification based on clinical factors and utilization of resources

A

DRG

72
Q

types of drg

A

all payers
health care financing administrations

73
Q

Patient classification scheme which provides a means of relating the type of patients a hospital treats to the costs the hospital incurs

A

drg

74
Q

expansion of the basic drgs to be more representative of non-medicare populations such as pediatric patients

A

all patient DRGs (AP-DRGs)

75
Q

t/f
drg consists of classes of patients that are similar clinically and in terms of their consumption of hospital resources

A

t

76
Q

2 subclasses of AP-DRG

A

severity of illness (SOI)
risk of mortality (ROM)

77
Q

5 digit code

A

cpt codes

78
Q

five-digit codes have descriptors which correspond to a procedure or service

A

category I

78
Q

these alphanumeric tracking codes are used for execution measurement

A

category II

78
Q

t/f
using category II of cpt codes are required

A

f (optional)

78
Q

2 character modifiers are appended to __ to report special circumstances and to clarify or modify the description of the procedure

A

cpt codes

78
Q

category I codes range from

A

00100-99499

79
Q

provisional codes for new and developing technology, procedures, and services

A

category III

79
Q

codes were created for data collection and assessment of new services and procedures

A

category III

79
Q

platform which helps to map these ingredients

A

rxnorm

79
Q

extensive information is provided for the medications offered to patients

A

medications

79
Q

since there are many forms of the same drug, MIMIC provides __ and __

A

generic sequence number (GSN)
national drug code (NDC)

79
Q

The lab results contain both in-hospital laboratory measurements and out-of-hospital laboratory measurements from clinics that the patient has visited.

A

microbiology and lab results

79
Q

t/f
microbiology results capture data from various cultures

A

t

79
Q

This is by far the largest table in MIMIC and contains an immense array of information, reflective of anything put into a patients medical chart

A

chart events

80
Q

every unique patient in the database

A

patient

80
Q

every unique hospitalization for each patient

A

admissions

80
Q

every unique ICU stay in the database

A

ICUstays

81
Q

clinical service under which a patient is registered

A

services

82
Q

patient movement from bed to bed within the hospital, including ICU admission and discharge

A

transfers

83
Q

information regarding when a patient was cleared for ICU discharge and when the patient was actually discharged

A

callout

84
Q

data must be valid and accurate

A

data accuracy

85
Q

typographical errors in discharge summaries and misspelled names are examples of inaccurate data

A

data accuracy

85
Q

Data that are not available to the decision makers needing them are of no value to those decision makers

A

data accessibility

85
Q

All the data required for a particular use must be present and available to the user.

A

data comprehensiveness

85
Q

t/f
relevant data may be useful even when they are incomplete

A

f (should be complete to be relevant)

86
Q

Clear definitions of data elements must be provided so that current and future data users will understand what the data mean.

A

data definition

86
Q

Use of an abbreviation that has two different meanings is a good example of how lack of __ can lead to problems.

A

consistency

86
Q

t/f
Many types of health care data become obsolete after a period of time.

A

t

86
Q

A patient’s admitting diagnosis is often not the same as the diagnosis recorded on discharge.

A

data currency

86
Q

Data granularity is sometimes referred to as data __.

A

atomicity

87
Q

individual data elements are “__” in the sense that they cannot be further subdivided.

A

atomic

88
Q

t/f
Precision often relates to numerical data.

A

t

88
Q

__ denotes how close to an actual size, weight, or other standard a particular measurement is. Some health care data must be very precise.

A

precision

88
Q

t/f
Data may not be relevant to the purpose for which they are collected.

A

f (must be relevant)

89
Q

__ is a critical dimension in the quality of many types of health care data.

A

timeliness

90
Q

MIMIC

A

medical information mart for intensive care

🖤 MT637 (2 decks)

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