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This “2021 Global Advanced Clinical Decision Support System (CDSS) Platform Industry Report-Key Growth Opportunities and Technological Innovations” Report has been added to ResearchAndMarkets.com provide.
The Clinical Decision Support System (CDSS) provides actionable information to improve the decision-making ability of health professionals. However, the traditional CDSS platform has shortcomings such as alarm fatigue, diagnostic errors, and workflow interruptions. These shortcomings may adversely affect the health of patients and the profits of healthcare providers.
These limitations make it necessary to develop advanced CDSS tools that use technologies such as natural language processing, machine learning, and dynamic and interactive algorithms. These tools not only help improve the quality of care provided to patients, but also improve the bottom line of the hospital. .
The Growth Opportunity Technology (GO-TE) report covers the technological development of advanced CDSS, the usefulness of these platforms, and various growth opportunities in the industry. The report covers innovations in advanced CDSS platforms being implemented in the medical environment, including clinical guidelines and evidence-based solutions, medical workflow solutions, and instant medical solutions.
The scope of GO-TE is global. This GO-TE has studied some innovators and technical preparation levels in this field.
This report investigates prominent government and private funds, partnerships and acquisitions. It also discussed the growth opportunities provided by the advanced CDSS platform and the key patents that technology developers have obtained in the past two years.
Key topics covered:
1.executive Summary
1.1 Research scope
1.2 Research methodology
2. Industry Overview
2.1 Technical overview
2.2 Alarm fatigue, diagnostic errors and fragmented work flow of clinicians are the outstanding limitations of traditional CDSS platforms
2.3 Technical Subdivision of Advanced CDSS Platform
2.4 Use evidence-based reference content to resolve alert fatigue and surgical variability through CDSS solutions
2.5 The CDSS platform promotes enhanced workflow and revenue optimization through automated clinical documentation and medical coding
2.6 CDSS tools use patient health data from different medical devices to improve the health outcomes of instant medical care
2.7 Application analysis: The ever-increasing application areas provide abundant growth opportunities for companies developing advanced CDSS platforms
3. Mobile company
3.1 Clinical guidelines and evidence-based solutions
3.1.1 Provide patients with clinical guidelines and evidence-based CDSS tools for the best treatment options
3.1.2 Other well-known clinical guidelines and evidence-based CDSS platforms
3.2 Medical workflow solutions
3.2.1 Procedural document solutions that promote uninterrupted medical processes
3.2.2 Other well-known CDSS medical workflow platforms
3.3 Instant care solutions
3.3.1 The immediate care CDSS platform can improve patient disease management
3.3.2 Other noteworthy CDSS instant solutions
4. Advanced CDSS case study
4.1 Improve the diagnosis and treatment of sepsis through clinical guidelines and evidence-based CDSS tools
4.2 Improve clinical productivity and nursing services through the program documentation platform
4.3 The CDSS field care solution promotes the improvement of medical expenses through antibacterial management interventions
5. Funding and partnership assessment
5.1 Analysis of the National Institutes of Health (NIH) funding for advanced CDSS tools
5.2 Funding assessment of advanced CDSS tools
5.3 Strategic industry, industry and academic partnerships to develop new CDSS platforms, enhance functions and improve access to existing platforms
5.4 Digital health and private investment companies acquire CDSS participants to improve product portfolio
6. Growth opportunities
6.1 Growth Opportunity 1: Addressing transparency issues to improve the adoption of the CDSS platform among healthcare providers
6.2 Growth Opportunity 2: CDSS platform can reduce the hospitalization rate of family hospitalized patients and enhance patient care
7. Analyst insights and patent analysis
7.1 Use EHR metadata to refine the alerts generated by the CDSS platform
7.2 Use information from CDSS tools and other data sources to predict future disease outbreaks
7.3 Key patents to be checked
8. Key contacts
9. Next steps
For more information about this report, please visit https://www.researchandmarkets.com/r/n6g7ky
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