TEST BANK
Health nformat cs: An nterprofess onal Approach
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Lynda R. Hardy
3rd Ed t on
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PlusBay.Plus
,Table of Contents
Chapter 01 An ntroduct on to Health nformat cs
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Chapter 02 Theoret cal Frameworks fg 4
Chapter 03 Health Systems and nformat on Flow FG fg 8
Chapter 04 nformat cs-Related Standards and Standard Sett ng
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Chapter 05 Evaluat on of Health nformat on Systems—Purposes, Theor es, and Methods
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Chapter 06 Techn cal nfrastructure fg FG 17
Chapter 07 The Electron c Health Record and Prec s on Care fg fg fg 20
Chapter 08 Adm n strat ve Appl cat ons n Healthcare
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Chapter 09 Commun ty Health Systems fg 27
Chapter 10 Publ c Health nformat cs
fg FG fg 31
Chapter 11 Ev dence-Based nformat cs
fg FG fg 34
Chapter 12 Cl n cal Dec s on Support
fg fg fg fg 38
Chapter 13 The Evolv ng ePat ent fg fg 42
Chapter 14 D g tal Health-Manag ng Health and Wellness
fg fg fg 45
Chapter 15 Personal Health Records 48
Chapter 16 Soc al Med a Tools for Health nformat cs
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Chapter 17 Project Management Pr nc ples fg fg 56
Chapter 18 Strateg c Plann ng and nformat on System Select on
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Chapter 19 Contract Negot at ons and Software L cens ng fg fg fg fg 63
Chapter 20 mplement ng and Upgrad ng an nformat on System
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Chapter 21 Downt me and D saster Recovery for Health nformat on Systems
fg fg FG fg 70
Chapter 22 mprov ng the User Exper ence for Health nformat on Technology
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Chapter 23 Data Sc ence and Analyt cs n Healthcare
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Chapter 24 Safety and Qual ty n t at ves n Health nformat cs fg FG fg fg fg fg FG fg 80
Chapter 25 nformat cs n the Curr culum
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Chapter 26 D stance Educat on—A New Front er
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Chapter 27 Legal ssues, Federal Regulat ons, and Accred tat on
FG fg fg fg 91
Chapter 28 Pr vacy and Secur ty
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Chapter 29 MACRA and nteroperab l ty FG fg fg 97
Chapter 30 Health Pol cy and Health nformat cs fg FG fg 100
Chapter 31 Health nformat on Technology Governance
FG fg 103
Chapter 32 Global Health nformat cs FG fg 107
Chapter 33 nformat cs and the Future of Healthcare
FG fg 110
PlusBay.Plus
, Test Bank - Health FGnformat fgcs: An FGnterprofess fgonal Approach, 3rd Ed fgt fgon (Hardy,
2024)
Chapter 01: An ntroduct on to Health nformat cs FG fg FG fg
Hardy: Health nformat cs: An nterprofess onal Approach, 3rd Ed t on
FG fg FG fg fg fg
MULT PLE CHO CE
FG FG
1. Dr. James, n study ng pat ent safety n U.S. hosp tals, found that the number of
fg fg fg fg fg
preventable adverse events lead ng to ser ous harm fell n the approx mate range of fg fg fg fg to
cases per year.
a. 4.4 m ll on; 8.8 m ll on fg fg fg fg
b. 440,000; 880,000
c. 1 m ll on; 5 m ll on fg fg fg fg
d. 40,000; 100,000
ANS: B
Dr. James found some 440,000 cases of lethal harm each year and est mated that the nc fg fg
dence of ser ous (but not lethal) harm was 10 to 20 t mes that f gure.
fg fg fg fg
D F: FG Cogn t ve Level: Analyze fg fg
2. Health nformat cs s both a fg fg fg as well as a(n) .
a. d sc pl ne; f eld of study
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b. profess on; pract ce fg fg
c. f eld of study; art
fg
d. profess on; d sc pl ne fg fg fg fg
ANS: D
Health nformat cs s a d sc pl ne, or f eld of study, n the same sense that "med c ne," "soc
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ology," and "pharmacy" are f elds of study. t s also a profess on, pract ced by thousands of
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nformat c ans n a number of var ed roles w th n the healthcare ndustry.
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D F: FG Cogn t ve Level: Remember fg fg
3. What s the ma n dea of the subsect on t tled "Why nformat cs s Needed n Healthcare:
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An Example"?
a. An nteroperable healthcare system that prov des clear, conc se pat ent data and
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nformat on among nst tut ons s lack ng n many fac l t es, and ts presence
fg fg fg fg fg fg fg fg fg fg fg fg
would greatly fac l tate th ngs such as pat ent transfers. fg fg fg fg
b. The qual ty of d scharge commun cat on dur ng transfers of ger atr c pat ents
fg fg fg fg fg fg fg fg
from hosp tal to nurs ng home s generally h gh. fg fg fg fg
c. Sk lled nurs ng fac l t es aren't tra ned enough to dent fy the nformat on they
fg fg fg fg fg fg fg fg fg fg
need to fac l tate a h gh-qual ty trans t on of a pat ent nto the r fac l ty.
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d. Healthcare nformat c ans alone are respons ble for bu ld ng nteroperable
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systems that w ll fac l tate commun cat on between and among healthcare fac l t fg fg fg fg fg fg fg
es. fg
ANS: A
Th s subsect on takes the spec f c case of the transfer of ger atr c pat ents from a hosp tal
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sett ng to a long-term sk lled nurs ng fac l ty (SNF) and uses t to llustrate the great need
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for an nteroperable healthcare system that allows pat ent data to be transferred qu ckly,
fg fg fg
clearly, and conc sely among fac l t es. fg fg fg fg
1|Page
PlusBay.Plus
, Test Bank - Health FGnformat fgcs: An FGnterprofess fgonal Approach, 3rd Ed fgt fgon (Hardy,
2024)
D F: FG Cogn t ve Level: Analyze fg fg
4. The s one of the oldest-and st ll w dely used-methods for bu ld ng fg fg fg fg fg
and mplement ng software appl cat ons n T arena.
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a. TUG
b. cl n cal dec s on support system
fg fg fg fg
c. H PAA FG
d. SLC
ANS: D
Though t's been through a number of terat ons and adjustments, the software development l
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fe cycle rema ns the tested and tr ed-and-true method for study ng, bu ld ng, mplement ng,
fg fg fg fg fg fg fg fg
and ma nta n ng a health nformat on system.
fg fg fg fg fg
D F: FG Cogn t ve Level: Rememberfg fg
5. nformat cs allows cl n c ans to see real t me data and allows user to
FG fg fg fg fg fg for
publ c health approaches to care n healthcare.
fg fg
a. Mean ng fg
b. Manage
c. Mater al ze fg fg
d. Mapp ng fg
ANS: B
W th cont nu ng progress on n the use of technology and healthcare, cl n c ans can pred ct
fg fg fg fg fg fg fg fg fg
and mprovement healthcare outcomes.
fg
D F: FG Cogn t ve Level: Understand
fg fg
6. Health nformat c ans must be able to conceptual organ ze a var ety of
fg fg fg fg fg to
better understand data analys s. fg
a. Components
b. Concepts
c. deas FG
d. Algor thms fg
ANS: A
nformat c ans ut l ze healthcare knowledge, v sual zat on, and outcome pred ct on to access
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raw nformat on and turn t nto mean ngful use data.
fg fg fg fg fg
D F: FG Cogn t ve Level: Understand
fg fg
7. Ach evable competenc es developed by the OM that should be ach eved by cl n c ans
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to del ver pat ent-centered care nclude:
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a. Collaborat on, reduct on of errors, pat ent centered, data collect on
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b. ndependent, ev dence-based pract ce, reduct on of hosp tal readm ss ons, use
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of nformat cs fg fg
c. Collaborat on, ev dence-based pract ce, qual ty mprovement, use of nformat cs
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d. Collaborat on, nd v dual pract ce, qual ty mprovement, use of nformat cs
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ANS: C
2|Page
PlusBay.Plus
Health nformat cs: An nterprofess onal Approach
FG fg FG fg
Lynda R. Hardy
3rd Ed t on
fg fg
PlusBay.Plus
,Table of Contents
Chapter 01 An ntroduct on to Health nformat cs
FG fg FG fg 1
Chapter 02 Theoret cal Frameworks fg 4
Chapter 03 Health Systems and nformat on Flow FG fg 8
Chapter 04 nformat cs-Related Standards and Standard Sett ng
FG fg fg 11
Chapter 05 Evaluat on of Health nformat on Systems—Purposes, Theor es, and Methods
fg FG fg fg 14
Chapter 06 Techn cal nfrastructure fg FG 17
Chapter 07 The Electron c Health Record and Prec s on Care fg fg fg 20
Chapter 08 Adm n strat ve Appl cat ons n Healthcare
fg fg fg fg fg fg 24
Chapter 09 Commun ty Health Systems fg 27
Chapter 10 Publ c Health nformat cs
fg FG fg 31
Chapter 11 Ev dence-Based nformat cs
fg FG fg 34
Chapter 12 Cl n cal Dec s on Support
fg fg fg fg 38
Chapter 13 The Evolv ng ePat ent fg fg 42
Chapter 14 D g tal Health-Manag ng Health and Wellness
fg fg fg 45
Chapter 15 Personal Health Records 48
Chapter 16 Soc al Med a Tools for Health nformat cs
fg fg FG fg 52
Chapter 17 Project Management Pr nc ples fg fg 56
Chapter 18 Strateg c Plann ng and nformat on System Select on
fg fg FG fg fg 60
Chapter 19 Contract Negot at ons and Software L cens ng fg fg fg fg 63
Chapter 20 mplement ng and Upgrad ng an nformat on System
FG fg fg FG fg 66
Chapter 21 Downt me and D saster Recovery for Health nformat on Systems
fg fg FG fg 70
Chapter 22 mprov ng the User Exper ence for Health nformat on Technology
FG fg fg FG fg 73
Chapter 23 Data Sc ence and Analyt cs n Healthcare
fg fg fg 77
Chapter 24 Safety and Qual ty n t at ves n Health nformat cs fg FG fg fg fg fg FG fg 80
Chapter 25 nformat cs n the Curr culum
FG fg fg fg 84
Chapter 26 D stance Educat on—A New Front er
fg fg fg 87
Chapter 27 Legal ssues, Federal Regulat ons, and Accred tat on
FG fg fg fg 91
Chapter 28 Pr vacy and Secur ty
fg fg 94
Chapter 29 MACRA and nteroperab l ty FG fg fg 97
Chapter 30 Health Pol cy and Health nformat cs fg FG fg 100
Chapter 31 Health nformat on Technology Governance
FG fg 103
Chapter 32 Global Health nformat cs FG fg 107
Chapter 33 nformat cs and the Future of Healthcare
FG fg 110
PlusBay.Plus
, Test Bank - Health FGnformat fgcs: An FGnterprofess fgonal Approach, 3rd Ed fgt fgon (Hardy,
2024)
Chapter 01: An ntroduct on to Health nformat cs FG fg FG fg
Hardy: Health nformat cs: An nterprofess onal Approach, 3rd Ed t on
FG fg FG fg fg fg
MULT PLE CHO CE
FG FG
1. Dr. James, n study ng pat ent safety n U.S. hosp tals, found that the number of
fg fg fg fg fg
preventable adverse events lead ng to ser ous harm fell n the approx mate range of fg fg fg fg to
cases per year.
a. 4.4 m ll on; 8.8 m ll on fg fg fg fg
b. 440,000; 880,000
c. 1 m ll on; 5 m ll on fg fg fg fg
d. 40,000; 100,000
ANS: B
Dr. James found some 440,000 cases of lethal harm each year and est mated that the nc fg fg
dence of ser ous (but not lethal) harm was 10 to 20 t mes that f gure.
fg fg fg fg
D F: FG Cogn t ve Level: Analyze fg fg
2. Health nformat cs s both a fg fg fg as well as a(n) .
a. d sc pl ne; f eld of study
fg fg fg fg
b. profess on; pract ce fg fg
c. f eld of study; art
fg
d. profess on; d sc pl ne fg fg fg fg
ANS: D
Health nformat cs s a d sc pl ne, or f eld of study, n the same sense that "med c ne," "soc
fg fg fg fg fg fg fg fg fg fg
ology," and "pharmacy" are f elds of study. t s also a profess on, pract ced by thousands of
fg fg FG fg fg fg
nformat c ans n a number of var ed roles w th n the healthcare ndustry.
fg fg fg fg fg fg fg fg
D F: FG Cogn t ve Level: Remember fg fg
3. What s the ma n dea of the subsect on t tled "Why nformat cs s Needed n Healthcare:
fg fg fg fg fg FG fg FG fg
An Example"?
a. An nteroperable healthcare system that prov des clear, conc se pat ent data and
fg fg fg fg
nformat on among nst tut ons s lack ng n many fac l t es, and ts presence
fg fg fg fg fg fg fg fg fg fg fg fg
would greatly fac l tate th ngs such as pat ent transfers. fg fg fg fg
b. The qual ty of d scharge commun cat on dur ng transfers of ger atr c pat ents
fg fg fg fg fg fg fg fg
from hosp tal to nurs ng home s generally h gh. fg fg fg fg
c. Sk lled nurs ng fac l t es aren't tra ned enough to dent fy the nformat on they
fg fg fg fg fg fg fg fg fg fg
need to fac l tate a h gh-qual ty trans t on of a pat ent nto the r fac l ty.
fg fg fg fg fg fg fg fg fg fg fg
d. Healthcare nformat c ans alone are respons ble for bu ld ng nteroperable
fg fg fg fg fg fg fg
systems that w ll fac l tate commun cat on between and among healthcare fac l t fg fg fg fg fg fg fg
es. fg
ANS: A
Th s subsect on takes the spec f c case of the transfer of ger atr c pat ents from a hosp tal
fg fg fg fg fg fg fg fg
sett ng to a long-term sk lled nurs ng fac l ty (SNF) and uses t to llustrate the great need
fg fg fg fg fg fg fg
for an nteroperable healthcare system that allows pat ent data to be transferred qu ckly,
fg fg fg
clearly, and conc sely among fac l t es. fg fg fg fg
1|Page
PlusBay.Plus
, Test Bank - Health FGnformat fgcs: An FGnterprofess fgonal Approach, 3rd Ed fgt fgon (Hardy,
2024)
D F: FG Cogn t ve Level: Analyze fg fg
4. The s one of the oldest-and st ll w dely used-methods for bu ld ng fg fg fg fg fg
and mplement ng software appl cat ons n T arena.
fg fg fg fg fg FG
a. TUG
b. cl n cal dec s on support system
fg fg fg fg
c. H PAA FG
d. SLC
ANS: D
Though t's been through a number of terat ons and adjustments, the software development l
fg fg fg
fe cycle rema ns the tested and tr ed-and-true method for study ng, bu ld ng, mplement ng,
fg fg fg fg fg fg fg fg
and ma nta n ng a health nformat on system.
fg fg fg fg fg
D F: FG Cogn t ve Level: Rememberfg fg
5. nformat cs allows cl n c ans to see real t me data and allows user to
FG fg fg fg fg fg for
publ c health approaches to care n healthcare.
fg fg
a. Mean ng fg
b. Manage
c. Mater al ze fg fg
d. Mapp ng fg
ANS: B
W th cont nu ng progress on n the use of technology and healthcare, cl n c ans can pred ct
fg fg fg fg fg fg fg fg fg
and mprovement healthcare outcomes.
fg
D F: FG Cogn t ve Level: Understand
fg fg
6. Health nformat c ans must be able to conceptual organ ze a var ety of
fg fg fg fg fg to
better understand data analys s. fg
a. Components
b. Concepts
c. deas FG
d. Algor thms fg
ANS: A
nformat c ans ut l ze healthcare knowledge, v sual zat on, and outcome pred ct on to access
FG fg fg fg fg fg fg fg fg fg
raw nformat on and turn t nto mean ngful use data.
fg fg fg fg fg
D F: FG Cogn t ve Level: Understand
fg fg
7. Ach evable competenc es developed by the OM that should be ach eved by cl n c ans
fg fg FG fg fg fg fg
to del ver pat ent-centered care nclude:
fg fg fg
a. Collaborat on, reduct on of errors, pat ent centered, data collect on
fg fg fg fg
b. ndependent, ev dence-based pract ce, reduct on of hosp tal readm ss ons, use
FG fg fg fg fg fg fg
of nformat cs fg fg
c. Collaborat on, ev dence-based pract ce, qual ty mprovement, use of nformat cs
fg fg fg fg fg fg fg
d. Collaborat on, nd v dual pract ce, qual ty mprovement, use of nformat cs
fg fg fg fg fg fg fg FG fg
ANS: C
2|Page
PlusBay.Plus