China Patient Engagement Solutions Market Report 2022 to 2030

China Patient Engagement Solutions Market Analysis

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China's patient engagement solutions market is projected to grow from $1.37 Bn in 2022 to $3.82 Bn by 2030, registering a CAGR of 13.7% during the forecast period of 2022-30. The main factors driving the growth would be the aging population, chronic disease management, increasing healthcare spending, and government support. The market is segmented by component, delivery mode, application, therapeutic area, functionality, and end-user. Some major players include JD Health, Vecoton, Ping An Good Doctor, Oracle, and Lincor.

ID: IN10CNHS015 CATEGORY: Healthcare Services GEOGRAPHY: China AUTHOR: Neha Davda

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China Patient Engagement Solutions Market Executive Summary

China's patient engagement solutions market is projected to grow from $1.37 Bn in 2022 to $3.82 Bn by 2030, registering a CAGR of 13.7% during the forecast period of 2022-30. From 5.17% of GDP in 2018 to 5.35% of GDP in 2019, China's health spending increased. The cost of healthcare as a proportion of GDP is still lower in underdeveloped nations, where it typically hovers around 10%.

Patient engagement solutions focused on clinicians and patients collaborating for better health. Improved health outcomes are a result of a patient's higher level of involvement in their care. China's market for patient engagement products is extremely competitive, with both domestic and foreign firms seeking for market share. The industry is expected to increase over the coming years as healthcare providers and governments look to enhance patient outcomes and experiences by implementing cutting-edge technology and methods.

China Patient Engagement Solutions Market

Market Dynamics

Market Growth Drivers

The China patient engagement solutions market is expected to be driven by factors such as the ageing population, chronic disease management, increasing healthcare spending and government support. The Chinese government has made healthcare a top priority for growth and has put up a number of measures to encourage the use of patient interaction tools. For instance, the Healthy China 2030 project aims to enhance population health and support the growth of the healthcare sector. In order to promote the creation of patient engagement solutions as well as other digital health solutions, the government has also developed policies.

Market Restraints

In China, patient involvement strategies entail gathering and sharing private health data. Given recent data breaches in the nation, this may cause individuals and healthcare professionals to express privacy and security concerns. Additionally, there are currently few chances for patient engagement solutions to be reimbursed in China, which might make it difficult for providers of these solutions to make money and restrict the adoption of these solutions.

Competitive Landscape

Key Players

JD Health (CHN)
Vecoton (CHN)
Ping An Good Doctor (CHN)
Oracle
Lincor

Notable News

October 2021: The leading medical and healthcare service platform in China, Ping An Good Doctor, has announced Strategic 2.0 Continuum, a new strategic plan that will see the company better connect with internal and external stakeholders and launch Family Doctor Membership

Healthcare Policies and Regulatory Landscape

The National Health Commission (NHC) is one of the principal authorities in charge of regulating the Chinese healthcare sector. The NHC is in charge of establishing regulations for public health, medical research, and healthcare services. To encourage the creation and implementation of patient engagement solutions, the Chinese government has launched a number of programs and policies. A national health information system that makes it easier to gather, share, and analyse health data is one goal of the Healthy China 2030 effort, for instance. It is anticipated that this program would accelerate the creation and uptake of patient engagement solutions in China.

The Chinese government changed the rules governing telemedicine in 2018, enabling doctors to offer online medical consultations and diagnoses. The use of telemedicine and other digital health solutions, such as patient engagement tools, is anticipated to rise as a result of these rules.

Reimbursement Scenario

In China, reimbursement laws for patient engagement solutions are still being developed, and the existing situation is complex. Generally speaking, patient engagement solutions are not directly reimbursed by China's state healthcare insurance schemes. Certain patient engagement solutions might, however, be covered by some private insurance policies.

In order to encourage the adoption of telemedicine and other digital health technologies, including patient engagement solutions, the Chinese government has launched a number of programs. For instance, the Chinese government implemented a policy in 2020 to cover the expenses of telemedicine services in some situations, such as for patients with chronic conditions or those living in rural or remote areas.

1. Executive Summary
1.1 Service Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Healthcare Services Market in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Services
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Patient Engagement Solutions Market Segmentation

By component (Revenue, USD Billion):

Hardware
Software
Standalone Software
Integrated Software
Services

By Delivery Mode (Revenue, USD Billion):

PREMISE Mode
CLOUD-BASED Mode

By Application (Revenue, USD Billion):

Health Management
Home Health Management
Social
Financial Health Management

By Therapeutic area (Revenue, USD Billion):

Chronic Diseases
Cardiovascular Diseases (CVD)
Diabetes
Obesity
Other chronic Diseases
Women's Health
Fitness
Other Therapeutic Areas

By Functionality (Revenue, USD Billion):

E-Prescribing
Virtual Consultation
Patient/Client Scheduling
Document Management

By End-user (Revenue, USD Billion):

Providers
Payers
Patients
Other End users

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

Analyzing historical proprietary data collected from multiple projects.
Regularly updating our existing data sets with new findings and trends.
Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

Searching through academic conferences, published research, citations, and social media platforms
Collecting and compiling diverse data to build a comprehensive and detailed database
Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
Continuously refreshing our database to ensure that the information remains current and reliable.
Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

Merging historical data from secondary research with real-time data from primary research.
Conducting thorough data validation and cleansing to remove inconsistencies and errors.
Organizing data into a structured format that is easily accessible and usable for various applications.
Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.