Research on the Smart Psychological Medical Model from the

Perspective of "Internet +"

Guanlan Liang

and Xunbing Shen

College of humanities, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China

Keywords: Intelligent Medical, Mental Health, System Design.

Abstract: The world is in the midst of the torrent of digital revolution, and its important sign is the use of cloud

computing and artificial intelligence. In recent years, the field of mental health has been exploring a more

systematic, intelligent and individualized service system. In this paper, an intelligent psychological medical

system is proposed by using the new technology. First of all, the paper expounds the overall framework of

the intelligent psychological medical model. Secondly, it introduces the operation process of the online

consultation sub-system, the medical treatment sub-system and the tracking management sub-system, as

well as the possible technical means and advantages. Based on digital technology, the system mines and

analyzes user data, integrates expert resources, and covers the entire process from online consultation,

offline medical treatment, and daily monitoring.

1 INTRODUCTION

Smart mental health care is a branch of smart

medical care, which refers to the use of new-

generation Internet of Things, cloud computing and

other information technologies to manage, select and

optimize things related to mental health

construction, so that people can obtain an

increasingly personalized mental health service

experience (Shatte, Hutchinson, & Teague 2019; D’

Alfonso, 2020).

Since the reform and opening up, China's mental

health service has achieved tremendous

development. However, there are still many

problems such as shortage of medical resources, low

treatment rate of mental illness, and lack of

individual mental health knowledge (Li et al., 2012).

The construction of the mental health service system

is also in its infancy, and it is difficult to meet the

needs of the society (Huang & Zheng, 2015).

Scholars and clinicians have been committed to

building a systematic and intelligent mental health

service system that can meet the needs of the public

(Qu et al., 2017). Big data, artificial intelligence

have great potential to redefine our diagnosis and

https://orcid.org/0000-0003-2845-1025

https://orcid.org/0000-0002-3672-273X

understanding of mental illness (Bzdok & Meyer-

Lindenberg, 2018). In recent years, with the

development of information technology, more and

more industries have begun to explore the "Internet

+" model, and the field of mental health is no

exception (Peng, Xi & Zuo, 2017, Li et al., 2013).

For example, online psychological testing, remote

psychological counseling and some mental health

service APP, have brought a lot of convenience to

people. However, on the one hand, the construction

of psychological community has problems of low

information sharing (Bennett & Bennett, 2000) and

lack of expert guidance. On the other hand, online

psychological medical treatment also has problems

such as imperfect system design and personal

information leakage. Therefore, in the new era of the

Internet, it is of great significance to build a smart

psychological medical system based on the "Internet

+" concept.

Starting from the three time periods before,

during and after the outpatient clinic, this study

constructed a systematic and comprehensive

intelligent mental health care model, in order to

provide individuals with more convenient and

efficient mental health services.

548

Liang, G. and Shen, X.

Research on the Smart Psychological Medical Model from the Perspective of Internet.

DOI: 10.5220/0011373600003438

In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare (ICHIH 2022), pages 548-553

ISBN: 978-989-758-596-8

2 OVERALL SYSTEM FRAME

DESIGN

The intelligent psychological medical system

designed in this paper includes three functional

modules, namely online consultation sub-system,

medical treatment sub-system and tracking

management sub-system. The overall structure of the

system is shown in Figure 1.

Figure 1: The overall framework of the smart

psychological medical system.

If users need psychotherapy services, they can

first conduct evaluation and consultation through the

online consultation sub-system. If you need to see a

doctor offline, you can choose a convenient medical

institution online to initiate an appointment. The

medical sub-system has functions such as

registration information and medical record inquiry,

which is convenient for mental health doctors to

manage patient information. After seeing a doctor,

the doctor can understand the patient's treatment

effect through the tracking management sub-system,

and the patient can report their own situation to the

doctor at any time. In addition, the three subsystems

are not one-way, but are linked to each other and can

be cycled multiple times.

3 ONLINE CONSULTING

SUBSYSTEM

The online consultation subsystem has both a web

version and a WeChat applet version, which is

convenient for users to use. Considering the

particularity of mental health diseases, online

consultation function is designed in this system,

which is different from making a online prescription

and other telemedicine modes. This is a supplement

and auxiliary to psychological counseling, but also

plays a role in popularizing psychological

knowledge, providing network support and guidance

for patients with psychological diseases.

3.1 Subsystem Structure

The online consultation subsystem includes four

functional modules, which are psychological

consultation, psychological assessment, user

management and knowledge base management.

Psychological consultation interface, users need

to input symptoms for consultation, including

emotion, cognition, behavior and physical response

four dimensions. The system will recommend

consulting methods for users according to the

symptoms or users can also choose independently.

The psychological assessment function is a

supplement to the self-assessment of symptoms. The

results are deduced by inference machine and

summarized and recorded in the user information

base. There are three ways of consultation:

psychiatrist online consultation, psychotherapist

online consultation and computer aided decision

making.

For the convenience of psychiatrists and

psychotherapists, the system records the counseling

information, evaluation results and psychological

counseling process in user files. At the same time,

the system analyzes the recorded archive

information, generates statistical reports and feeds

back to users.

Knowledge base adopts frame - production

structure. Frame system reflects the classification of

users' psychological problems, while production

system adopts rule-knowledge representation. The

frame structure is divided into two levels. The first-

level framework is subdivided into depression,

obsessiveness, fear, anxiety, addiction and mental

disorders. The secondary framework is defined

according to the causes of psychological

abnormalities, such as study pressure, poor parent-

child relationship, etc. The framework is divided as

shown in Table 1. The framework is mainly

composed of slot set, social relations and behavioral

information.

Research on the Smart Psychological Medical Model from the Perspective of Internet

549

Table 1: Knowledge base framework division method.

The

rimar

framewor

The secondar

frame

Depression

Poor parent-child

relationship

Communicative difficult

…

Anxiety

Academic

ressure

Workin

ressure

…

3.2 System Reasoning Method

Considering that most of the information provided

by users is incomplete and inaccurate, knowledge

processing and reasoning methods in the consulting

system must be able to deal with this uncertainty.

Bayesian method is a method that can be used to

establish uncertain inference.

The basic formula of Bayesian is shown in

Equation (1):

()

HpHEpHpHEp

HpHEp

EHp

−×−+×

(1)

As shown in the formula (1): p(H) represents the

prior probability of event H occurring. p(E|H) is the

probability that event H will occur after event E is

known to occur. p(-H) represents the prior

probability that event H does not occur. p(E|-H) is

the probability that event H does not occur after

event E is known to occur.

The factual argument for defining knowledge k

is pH, the membership probability is G(k), and the

weight is V(k→r). The relation is shown in formula

(2):

() ( )

rkVkGpH →⊗=

(2)

When there are multiple arguments (denoted by

, E

, ..., E

) and multiple assumptions (denoted by

, H

, ..., H

), these assumptions and arguments are

mutually exclusive and complete. Considering the

problem of computational difficulty, ignoring some

small arguments (Yang 2018), formula (3) is

deduced:

()

()() ()

()



××××

iinii

HpHEEEp

HpHEpHEpHEp

EEEHp



(3)

In advance, psychological counseling knowledge

and expert experience are obtained through data

mining techniques, and valid data are classified

through machine learning (Louie et al. 2017), and

then the probability of each event is scientifically

defined. In the inference process, the user first inputs

symptoms and psychological evaluation results, and

in the matching process, the Bayesian method is

used to improve the accuracy of the inference

results.

4 OUTPATIENT SUBSYSTEM

The medical sub-system is designed based on the

"WeChat" platform. If the user needs to go to the

offline to see a doctor, they can directly jump to the

consultation sub-system from the online consultation

sub-system to make an appointment. Of course, the

medical sub-system also accepts direct online

appointments or offline registrations. The whole

process of consultation is shown in Figure 2. It is

divided into three parts, the first is the guide module,

the second is the consultation module, and the third

is the payment module.

Figure 2: Full flow chart of medical treatment.

4.1 Guide Module

Relying on the official information portal, patients

will get an exclusive QR code after successfully

making an appointment and binding their medical

insurance card. This QR code can realize the

medical business content of each link such as check-

in, payment, medicine collection, and query results.

At the same time, it also reduces the sluggish

process caused by the loss of various magnetic cards

and documents, and the privacy leakage that may be

caused by scanning various unofficial QR codes,

which is convenient for unified management.

Intelligent triage can help patients who lack

medical expertise find the department they need to

see precisely. It is based on the patient's self-

ICHIH 2022 - International Conference on Health Big Data and Intelligent Healthcare

550

reported symptoms and online assessment results.

Users who are transferred from the online

consultation sub-system will be automatically

assigned to the department corresponding to the

disease with the help of the intelligent triage system,

and the road map of the hospital will be attached.

Users who register offline or make direct online

appointments need to conduct pre-examinations such

as symptom briefing online, and then use the

intelligent triage system for triage. After arriving at

the hospital's consultation area, scan the code and

according to the doctor's duty table. The intelligent

triage system also has a designated appointment

function for expert clinics. Returning patients will be

given priority to recommend the doctor who

consulted before.

4.2 Consultation Module

During the psychiatric consultation, the patient re-

reported the symptoms, and the doctor recorded it on

the doctor side of the medical treatment sub-system,

and judged whether routine or special examinations

were needed. After getting the inspection report, the

doctor makes a diagnosis, and a computer-aided

diagnosis is generated. If the two judgments are the

same or close, the diagnosis will be confirmed after

combination. If the two differ too much, send the

information to an online expert for another

judgment. The advantage is that the accuracy of

diagnosis can be improved through manual

diagnosis, computer assistance and third-party

judgment.

If the patient makes an appointment for

psychological consultation or therapy, the system

will monitor the patient's facial expressions, body

movements and other indicators through the

equipment during the interview, music therapy and

sand table therapy, so as to understand the

therapeutic effect.

4.3 Payment Module

After the consultation, the doctor bills directly in the

medical sub-system, and the patient scans the QR

code to pay, which saves the time of queuing for

payment in the payment area, which really brings

speed and convenience to the patient (Yang, Gao &

Yu 2019). The system is connected with the medical

insurance information and the data of the third-party

payment platform in real time, so that patients can

pay part of their own expenses through the third-

party platform, and the medical insurance patients

can verify and pay the insurance fee through the

electronic medical insurance channel.

After completing the payment for the

consultation, the patient can directly obtain the

consultation electronic bill and electronic medical

record on the mobile phone. The medical sub-system

is equipped with an electronic invoice storage

column and a historical medical record column,

which is convenient for patients to view and

download at any time. This setting reduces the use

of paper on the one hand, and avoids the loss of

invoice and medical record information on the other

hand.

5 TRACKING MANAGEMENT

SUBSYSTEM

Tracking and observing users' physical conditions

after treatment can facilitate doctors to diagnose

their conditions more accurately. Daily monitoring

can also achieve early detection and early treatment

of physical and mental diseases. As a branch of the

intelligent psychological medical system, the

tracking management subsystem needs not only the

support of WeChat program, but also wearable

devices, which are connected through Bluetooth.

The specific functions are shown in Table 2 below.

The main functions of the subsystem are

"monitoring", "consulting" and "community".

Table 2: The list of functions of the tracking management

subsystem.

The main function Sub-function

Monitoring

Current

sical condition

Histor

recor

Early warning

Consulting

Online consultation

Re-visit appointment

Customer service

Community

cholo

ical knowled

ical case

Tree hole

Mutual aid square

5.1 Monitoring Module

The "Monitoring" interface can view the current

physical status, including heart rate, blood pressure,

and can measure the health index through physical

indicators. This data is provided by wearable devices

such as iWatch. According to different medical

conditions, users also need to fill in the medication

feeling and psychological self-assessment form on

Research on the Smart Psychological Medical Model from the Perspective of Internet

551

time, and can feedback to the doctor when

necessary.

Past data is saved in the history folder, allowing

users to view trends by week, month or year. When

an indicator reaches the warning line, the system

will automatically remind the user to avoid untimely

medical treatment.

5.2 Consulting Module

The consultation module has three functions, which

are online consultation, follow-up appointment and

customer service.

Online consultation can provide graphic

consultation and voice emergency. Monitoring data

can also be easily transmitted to the consultation

window. Patients can book a re-visit appointment

online. After periodical medication or

psychotherapy, the treatment can also be ended

through online consultation. The consultation

module also sets up an official customer service

column, and users can solve their own problems

through online or telephone Q&A and email

feedback.

5.3 Community Module

The community module is divided into four

functions, namely psychological knowledge, typical

cases, tree holes and mutual aid square.

The program will push common knowledge

related to psychology and typical cases of mental

illness every day, in both text form and video, to

help users increase their knowledge reserves. Users

can earn points by reading articles, watching videos,

or answering questions, which can be exchanged for

prizes. Users can post what they want to say but

can't say in the "tree hole", this place is completely

confidential, not open to the public, and can be used

as a trash can for bad emotions. The Mutual Aid

Square is where users look for help. Users can write

down their little troubles here and wait for others to

answer them. Users can also create small

communities to welcome friends with the same

experience.

6 CONCLUSIONS

The smart psychological medical system

innovatively adopts the whole process mode of

online consultation, offline treatment, and long-term

tracking. The online counseling sub-system recruits

experts to provide psychological counseling and

psychological assessment. Design knowledge base

using framework-production structure. Finally, the

Bayesian method of data accumulation is used to

realize the uncertainty inference of the pattern. By

building a closed loop from guidance, consultation

to payment, the medical treatment sub-system

optimizes the medical treatment process and

provides digital, intelligent and convenient

outpatient services. The tracking management

subsystem combines dynamic monitoring, online

consultation, remote management and community

building to provide users with personalized, precise

and systematic mental health services.

The smart psychological medical model makes

full use of the technological advantages of the

"Internet +" era and the knowledge and skills of

psychology and psychiatry experts. It has the

advantages of high coherence and strong scalability,

and can play a positive auxiliary role in the

implementation of smart medical treatment and

smart psychology.

ACKNOWLEDGEMENTS

This study was partially supported by the grants

from the Planed Project of Social Sciences in Jiangxi

Province (No. 18JY24) and the project of "1050

Young top-notch talent" of Jiangxi University of

Traditional Chinese Medicine.

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