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Table 3 Technology readiness levels

From: Defining the concepts of a smart nursing home and its potential technology utilities that integrate medical services and are acceptable to stakeholders: a scoping review

No

Authors and year

Country

Study design

Function of Technology

Technologies related to ‘smartness’

TRLs

1

Sun et al., 2015 [50]

China

System design

Assisting ADLsa

Computing technologies

L 1b

2

Xie, 2016 [192]

China

System design

Information management and decision making

IMS

3

Esteves et al., 2019 [166]

Portugal

System design

Telemedicine

Digital health

4

Shen, 2019 [105]

China

System design

Monitoring abnormal events

IoT

5

Chen et al. 2021 [117]

Taiwan, China

System design

Monitoring abnormal events

IoT

6

Lin et al., 2008 [58]

Taiwan, China

System design

Monitoring abnormal events

IoT

L 2c

7

Hu et al., 2009 [60]

USA

System design

Monitoring abnormal events

IoT

8

Ohol, 2010 [187]

USA

System design

Information management and decision making

IMS

9

Pallikonda Rajasekaran et al., 2010 [62]

India

System design

Monitoring abnormal events

IoT

10

Wu & Huang, 2011 [66]

Taiwan, China

System design

Monitoring abnormal events

IoT

11

Ghorbel et al., 2013 [70]

France

System design

Notification for specific events

Computing technologies

12

Neuhaeuser & D'Angelo, 2013 [73]

Germany

System design

Monitoring abnormal events

IoT

13

Chu et al., 2014 [77]

China

System design

Monitoring abnormal events

IoT

14

Z. Huang et al., 2015 [189]

China

System design

Information management and decision making

IMS

15

Yu et al., 2015 [82]

UK

System design

Monitoring abnormal events

IoT

16

Roh & Park, 2017 [35]

South Korea

System design

Quality of Life measurements

Big data and AI

17

Flores-Martin et al. 2021 [118]

Spain

System design

Monitoring abnormal events

IoT

18

Sun, 2011 [65]

China

System design

Monitoring abnormal events

IoT

L 3d

19

Andò et al., 2015 [80]

Italy

System design

Monitoring abnormal events

IoT

20

Jiang, 2017 [87]

China

System design

Monitoring abnormal events

IoT

21

Mendes et al., 2017 [88]

Portugal

System design

Monitoring abnormal events

Big data and AI

22

Wu et al., 2017 [93]

China

System design

Monitoring abnormal events

Computing technology

23

Mahfuz et al., 2018 [96]

Canada

System design

Fall detection

IoT

24

Fong et al., 2019 [102]

USA

System design

Monitoring abnormal events

IoT

25

Ghosh et al., 2019 [103]

India

System design

Monitoring abnormal events

Big data and AI

26

Huang, 2019 [12, 52]

China

System design

Fall detection

Big data and AI

27

Xiao, 2019 [108]

China

System design

Monitoring abnormal events

IoT

28

Lanza et al. 2020 [113]

Italy

System design

Monitoring abnormal events

Big data and AI

29

Fischer et al., 2008 [57]

Australia

System design

Monitoring abnormal events

IoT

L 4e

30

Hsu et al., 2010 [199]

Taiwan, China

System design

Assisting ADLs

IoT

31

Chang et al., 2011 [200]

Taiwan, China

System design

Assisting ADLs

IoT

32

Chen & Li, 2012 [31]

China

System design

Monitoring abnormal events

IoT

33

Pan, 2013 [74]

China

System design

Monitoring abnormal events

IoT

34

Carvalho et al., 2015 [81]

France

System design

Monitoring abnormal events

IoT

L 5f

35

Borelli et al., 2019 [99]

Italy

System design

Monitoring abnormal events

IoT

36

Mishkhal et al. 2020 [115]

Iraq

System design

Fall prediction

IoT

37

Sax & Lawrence, 2009 [185]

Australia

System design

Information management and decision making

IMS

L 6 g

38

Gower et al., 2011 [63]

Italy

System design

Monitoring abnormal events

IoT

39

Lee et al., 2011 [64]

South Korea

System design

Monitoring abnormal events

IoT

40

Wang, 2014 [19]

China

System design

Monitoring abnormal events

IoT

41

Doumbouya et al., 2015 [148]

France

System design

Telemedicine

Digital health

42

Dias et al., 2016 [84]

Brazil

System design

Fall detection

IoT

43

Ansefine et al., 2017 [86]

Indonesia

System design

Monitoring abnormal events

IoT

44

Saod et al., 2017 [91]

Malaysia

System design

Monitoring abnormal events

IoT

45

Xie, 2017 [39]

China

System design

Monitoring abnormal events

Big data and AI

46

Zhang, 2017 [191]

China

System design

Information management and decision making

IMS

47

Cai & Wang, 2019 [100]

China

System design

Fall detection

IoT

48

Deng, 2019 [51]

China

System design

Monitoring abnormal events

IoT

49

Toda & Shinomiya, 2019 [107]

Japan

System design

Fall detection

IoT

50

Yoo et al., 2019 [109]

South Korea

System design

Monitoring abnormal events

IoT

51

Wang, 2020 [38]

China

System design

Monitoring abnormal events

IoT

52

Suzuki et al., 2006 [203]

Japan

System design

Monitoring abnormal events (location)

IoT

L 7 h

53

Betgé-Brezetz et al., 2009 [54]

USA

System design

Notification for specific events

Computing technologies

54

Biswas et al., 2009 [59]

Singapore

System design

Monitoring abnormal events

IoT

55

Fraile et al., 2010 [61]

Spain

System design

Monitoring abnormal events

IoT

56

Back et al., 2012 [67]

Finland

System design

Monitoring abnormal events

IoT

57

Chang et al., 2012 [68]

Taiwan, China

System design

Monitoring abnormal events

IoT

58

Huang et al., 2013 [71]

Taiwan, China

System design

Monitoring abnormal events

IoT

59

Matsui et al., 2013 [72]

USA

System design

Monitoring abnormal events

Computing technology

60

Tseng et al., 2013 [75]

USA

System design

Monitoring abnormal events

IoT

61

Liu & Hsu, 2014 [78]

Taiwan, China

System design

Monitoring abnormal events in bed

IoT

62

Zhu et al., 2014 [79]

Japan

System design

Monitoring abnormal events

IoT

63

Lopez-Samaniego & Garcia-Zapirain, 2016 [85]

Spain

System design

Monitoring abnormal events

IoT

64

Masuda & Numao, 2017 [195]

Japan

System design

Clinical data anaylsis (diagnosis)

IoT

65

Mendoza et al., 2017 [89]

Philippines

System design

Monitoring abnormal events

IoT

66

Tsai et al., 2017 [201]

Taiwan, China

System design

Assisting ADLs

IoT

67

Bleda et al., 2018 [94]

Spain

System design

Monitoring abnormal events

IoT

68

Lee et al., 2018 [33]

South Korea

System design

Monitoring abnormal events

IoT

69

Morita et al., 2018 [97]

Japan

System design

Monitoring abnormal events

Big data and AI

70

Wu et al., 2018 [98]

China

System design

Monitoring abnormal events

IoT

71

Huang et al., 2019 [12, 52]

Taiwan, China

System design

Monitoring abnormal events

IoT

72

González et al., 2019 [196]

Spain

System design

Clinical data anaylsis (frailty and cognition status)

IoT

73

Lenoir, 2019 [104]

Japan

System design

Monitoring abnormal events

IoT

74

Takahashi et al., 2019 [106]

Japan

System design

Monitoring abnormal events (location)

IoT

75

Tang et al., 2019 [37]

China

System design

Monitoring abnormal events

IoT

76

Buisseret et al. 2020 [110]

Switzerland

System design

Fall prediction

Big data and AI

77

Lee et al. 2020 [114]

South Korea

System design

Fall prediction

Big data and AI

78

Wan et al. 2021 [116]

China

System design

Fall detection

IoT

79

Montanini et al. 2017 [90]

Italy

System design

Monitoring abnormal events

IoT

Not applicable

80

Danielsen 2016 [83]

Norway

System design

Monitoring abnormal events

IoT

81

Chen et al. 2021 [111, 117]

China

System design

Fall prediction

Big data and AI

  1. a ADLs Activities of daily living
  2. bL 1 = Level 1: Basic principles observed and reported
  3. cL 2 = Level 2: Technology concept and/or application formulated
  4. dL 3 = Level 3: Analytical and experimental critical function and/or characteristic proof-of-concept
  5. eL 4 = Level 4: Component and/or breadboard validation in laboratory environment
  6. fL 5 = Level 5: Component and/or breadboard validation in relevant environment
  7. gL 6 = Level 6: System/sub-system model or prototype demonstration in relevant environment
  8. hL 7 = Level 7: System prototype demonstration in relevant environment