Singapore Patient Engagement Solutions Market Report 2022 to 2030

Singapore Patient Engagement Solutions Market Analysis

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The Singapore patient engagement solutions market is projected to grow from $20.41 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. The main factors driving the growth would be the ageing population, technological advancements and government support. The market is segmented by component, delivery mode, application, therapeutic area, functionality and by end-user. Some of the major players include Holmusk, Juvoxa, Allscripts, Cerner and IBM.

ID: IN10SGHS015 CATEGORY: Healthcare Services GEOGRAPHY: Singapore AUTHOR: Neha Davda

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Singapore Patient Engagement Solutions Market Executive Summary

The Singapore patient engagement solutions market is projected to grow from $20.41 Mn in 2022 to $xx Mn by 2030, registering a CAGR of xx% during the forecast period of 2022 - 2030. Singapore spent $2,633 on healthcare per person in 2019, a decrease of 1.31% from the previous year. In comparison to many other industrialised countries, it only spent 4.09% of its GDP on healthcare.

Healthcare providers can enhance the patient experience by using a cloud-based platform called a patient engagement solution. Modern patient engagement software enables every stage of the patient journey, including booking, triage, and follow-up.

Singapore's market for patient engagement solutions is one that is expanding rapidly. Patient engagement solutions are in greater demand in Singapore as patients want for more individualised and practical healthcare services. Patients are looking for solutions that make it easier for them to communicate with healthcare professionals, obtain healthcare services remotely, and better manage their health and conditions. The need for long-term care services and solutions for the management of chronic diseases has increased in Singapore as a result of the ageing population.

Singapore Patient Engagement Solutions Market

Market Dynamics

Market Growth Drivers

The Singapore patient engagement solutions market is expected to be driven by factors such as the ageing population, technological advancements and government support. Moreover, Singapore has one of the world's highest rates of mobile and internet penetration. This opens up possibilities for patient engagement programs that link patients and medical professionals through wearables, mobile apps, and telemedicine.

Market Restraints

Companies will face a number of financial challenges as they integrate costly healthcare infrastructure and systems with patient solutions. In addition, changes must be made to their current system, which was created only to satisfy present needs. As a result, it will hinder the market from growing.

Competitive Landscape

Key Players

Holmusk (SGP)
Juvoxa (SGP)
Allscripts
Cerner
IBM

Notable Deals

April 2021: Holmusk announced that it had acquired Otsuka Health Solutions, a UK-based provider of predictive analytics for mental health. The acquisition from Otsuka Pharmaceutical Europe Ltd (Otsuka) broadens Holmusk's presence in the UK and provides the door for the company to increase its collaborations with healthcare organisations attempting to change the face of behavioural healthcare.

Healthcare Policies and Regulatory Landscape

The Singaporean government has put in place policies to promote the use of patient interaction tools and other digital health technologies. The Healthcare 2020 Masterplan is one of many projects the Ministry of Health has started to encourage the use of technology in healthcare. It intends to use technology to reform the healthcare system and enhance patient outcomes. In order to guarantee the security and effectiveness of digital health solutions, including patient interaction technologies, the government has also built a regulatory framework.

The Health Sciences Authority (HSA), which is in charge of policing medical devices and making sure they are safe and effective, is in charge of overseeing the regulatory environment for patient engagement solutions in Singapore. The HSA also offers rules and recommendations for the creation and application of digital health technology, such as patient engagement solutions. Additionally, the collection, use, and disclosure of personal data, including medical data, are subject to regulation by the Personal Data Protection Commission (PDPC). This oversight organisation makes sure that patient data is handled sensibly and in accordance with data protection laws.

Reimbursement Scenario

The Ministry of Health sets the reimbursement guidelines for digital health technologies, and the Singaporean healthcare system is predominantly supported by public funds. The Singaporean government has taken action to enhance the way patient engagement solutions are reimbursed. For instance, patients can use their Medisave accounts to pay for specific digital health services, such as telemedicine consultations and chronic disease management programs, under the government's Medisave program.

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.