Research on the Innovation of Community Smart Elderly Medical Service Model Based on Health Big Data

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Online medical service

User	Traditional technical response time(s)	The system response time of this article(s)
User 1	1.5	1.4
User 2	1.7	1.5
User 3	1.7	1.7
User 4	1.5	1.5
User 5	1.4	1.2
User 6	1	1
Mean	1.47	1.38

The old man needs statistics

Numbering	A	O	M	I	R	Kano category
P1	6	21	6	5	1	O
P2	5	12	17	4	1	M
P3	3	12	19	6	0	M
P4	15	11	6	5	2	A
P5	3	11	20	5	1	M
P6	9	14	8	6	0	O
P7	4	11	18	3	1	M
P8	9	15	7	5	1	O
P9	6	8	7	4	0	M
P10	3	6	10	16	0	I
P11	16	9	7	5	0	O
P12	6	101	17	4	0	M
P13	4	6	8	17	1	O
P14	14	10	8	5	0	A
P15	6	8	16	5	1	M
P16	5	8	14	6	3	M
P17	15	8	7	5	0	A
P18	4	6	9	16	2	M
P19	8	8	7	14	0	I
P20	14	6	7	5	2	A
P21	10	15	7	5	0	O
P22	5	5	6	18	2	I
P23	5	6	10	14	1	I
P24	6	8	8	13	2	I
P25	8	17	7	5	0	O
P26	7	10	16	4	0	O
P27	7	14	7	9	1	M
P28	14	10	8	6	0	A

Induction of old age

Target	Specific demand	Numbering
Expand information access	1. We know the pension policy and the endowment information	P1
	2. Understand the content of the pension service	P2
Improve the flexibility of the service	1. The process of simplifying the pension application process	P3
	2. Providing ancillary applications	P4
Improve initiative, effective intervention and prevention	1. The body monitors the body’s indicators	P5
	2. Health investigation	P6
	3. Door-to-door	P7
	4. Care service	P8
	5. Emergency assistance for 5.24 hours	P9
	6. Health lectures/counseling	P10
Scientific understanding and management of its own state	1. The medical archives are established	P11
	2. Health guidance	P12
	3. Physical exercise	P13
	4.Warning	P14
Provide mental care	1. Child care	P15
Diverse forms of activity	1. Cultural entertainment	P16
	2. Old education	P17
	3. Secondary employment	P18
	4. Knowledge lecture	P19
Psychological dredging	1. Psychological counseling	P20
	2. Legal advice/rescue	P21
	3. Cognitive guidance	P22
Provide information connectivity	1. Communication between the services and health medical information	P23
	2. Provide online service feedback channels	P24
Reduce service costs	1. We will introduce volunteer services and provide free service	P25
mprove the comprehensive level of service personnel	1. To improve the professional level and moral level of service personnel	P26
Improve the service	1. The company provides a one-to-one long-term signing service	P27
	2. Provide professional life - health - counseling platform	P28

Field difference analysis results

	Clustering category (mean ± standard deviation)			Testing
	Class 1(n=185)	Class 2(n=142)	Class 3(n=83)	F	P
Medical service	32.157±6.738	11.827±5.161	13.454±5.11	127.735	0
Safety management	10.532±5.836	14.887±8.179	7.52±4.206	10.235	0
Regional position	10.455±5.088	11.473±6.442	12.62±7.229	0.69	0.426
Catering service	10.957±4.982	15.655±9.504	11.986±6.787	3.852	0.016
Accommodation environment	13.632±6.796	22.031±9.295	13.711±6.441	13.493	0
Entertainment	6.146±4.719	7.15±5.879	8.561±5.683	1.183	0.22
price	9.967±4.83	11.038±4.481	26.686±8.765	67.987	0

Kano attribute classifications

User demand		Not providing this functionality
		Like	Of course	It doesn’t	Tolerable	Dislike
Provide this feature (reverse problem)	Like	Q	A	A	A	O
	Of course	R	I	I	I	M
	It doesn’t	R	I	I	I	M
	Tolerable	R	I	I	I	M
	Dislike	R	R	R	R	Q

Community service center demand induction

Target	Specific demand	Numbering
Service content	1. The content of the pension service	T1
	2. Optimize service application process	T2
Service cost	1. The project reduces service costs by volunteer, providing low or unpaid services	T3
Communication	2. Communicate with the patient’s family	T4
Service content diversification	3. Enrich the content of old-age services, especially health and mental health	T5
Convenience and flexibility	1. The content and opinions of the online feedback service	T6
	2.Pay for online services	T7
Active service	1. The company provides active services based on the elderly body monitoring data and reports	T8

The overall statistic is combined to analyze the output

Attribute	Level	Coefficient	Standard error	T value	P value
-	const	-5.439	0.396	14.522	0.000***
Medical service	Hospital level	1.356	0.255	5.85	0.002***
	Hospital level + Psychological consultation	1.394	0.255	6.013	0.002***
Safety management	Basic safety equipment + Professional care worker	-0.075	0.255	-0.272	0.776
	Basic safety equipment + Custom workers	-0.582	0.255	-2.442	0.067*
Regional position	Residential area	0.01	0.328	0.074	0.965
	downtown	-0.201	0.275	-0.744	0.48
Catering service	General voluntary meal	-0.669	0.255	-2.817	0.045**
	Star buffet	0.068	0.255	0.338	0.771
Accommodation environment	Double or more	-1.11	0.255	-4.702	0.007***
	Single room	-0.085	0.255	-0.314	0.746
Entertainment	Spontaneous organization	-0.2	0.32	-0.625	0.546
Price	Flat with the market average	0.585	0.275	2.349	0.079*
	Below the market average	0.721	0.328	2.391	0.076*
Variance analysis	Sum of squares	freedom	Mean square	F value	Significance
Regression	0.722	11	0.161	7.532	0.01**
Residual error	0.034	2	0.004
Total	0.701	15
The OLS regression model is fitting for excellence	R value	R square	Adjusted r	Standard error
	0.973	0.943	0.832	1.081

Consumer clustering results for old-age communities

Cluster category	Frequency	Percentage %
1	185	45.12
2	142	34.63
3	83	20.24
Total	410	100.0

Joint analysis of the output of three types of consumers

Attribute	The first category of consumer importance(%)	The second type of consumer importance(%)	Category iii consumer importance(%)
Medical service	34.79721	13.52674	15.17438
Safety management	13.17163	15.58721	10.24
Regional position	13.09488	13.17326	15.34
Catering service	11.59721	15.35465	13.70563
Accommodation environment	15.27163	22.7314	15.43063
entertainment	7.78558	9.85	9.28063
Price	4.28186	9.77674	20.82873

Satisfaction coefficient value

Demand	SI	DSI	Ti	K	Demand	SI	DSI	Ti	K	Demand	SI	DSI	Ti	K
P1	0.71	-0.71	0.71	1	P11	0.68	-0.43	0.68	1.5	P21	0.68	-0.59	0.68	1
P2	0.45	-0.76	0.76	0.5	P12	0.84	-0.92	0.84	0.5	P22	0.29	-0.32	0.32	0
P3	0.38	-0.78	0.78	0.5	P13	0.29	-0.40	0.40	0	P23	0.31	-0.46	0.46	0
P4	0.7	-0.46	0.7	1.5	P14	0.65	-0.49	0.65	1.5	P24	0.4	-0.46	0.46	0
P5	0.36	-0.79	0.79	0.5	P15	0.4	-0.69	0.69	0.5	P25	0.68	-0.65	0.68	1
P6	0.62	-0.59	0.62	1	P16	0.39	-0.67	0.67	0.5	P26	0.46	-0.70	0.70	0.5
P7	0.42	-0.81	0.81	0.5	P17	0.66	-0.43	0.66	1.5	P27	0.57	-0.57	0.57	1
P8	0.67	-0.61	0.67	1	P18	0.29	-0.43	0.43	0	P28	0.63	-0.47	0.63	1.5
P9	0.56	-0.6	0.6	0.5	P19	0.43	-0.41	0.43	0
P10	0.26	-0.46	0.46	0	P20	0.63	-0.41	0.63	1.5

SUS availability scale

Q	1	2	3	4	5	6	7	8	9	10	Scoring	Evaluation
Y1	4	3	5	2	5	1	5	1	4	1	93	A+
Y2	5	4	3	1	4	2	5	1	5	1	83	B
Y3	4	3	4	2	4	1	5	1	5	1	85.4	B+
Y4	4	3	5	1	4	2	5	2	4	1	92	A+
Y5	5	1	5	1	5	1	4	1	3	1	91.2	A-
Y6	3	2	5	1	3	1	5	2	5	1	91.2	A-
M	4.2	2.6	4.5	1.3	4.2	1.3	4.8	1.3	4.3	1	89.3	A-

Availability criteria

Very different meaning	Comparison different meaning	Neutrality	Comparative consent	Very agree	Unfilled
1	2	3	4	5	Default 3

Offline medical services

User	Traditional technical response time(s)	The system response time of this article(s)
User 1	2.9	1.1
User 2	2.4	1.1
User 3	3.2	1.3
User 4	2.7	1.1
User 5	2.9	1.2
User 6	2.5	1.2
Mean	3.85	1.08