Growth Opportunities and Technology Innovations for Advanced Clinical Decision Support Platforms

Growth Opportunities and Technology Innovations for Advanced Clinical Decision Support Platforms

Leveraging Digital Technologies for Improving Diagnostics and Clinical Decision Workflow

RELEASE DATE
30-Apr-2021
REGION
Global
Research Code: D9F1-01-00-00-00
SKU: HC03410-GL-TR_25407
$4,950.00
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HC03410-GL-TR_25407
$4,950.00
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Description

Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients’ health outcomes as well as healthcare providers’ profitability. These limitations have necessitated the development of advanced CDSS tools that use technologies, such as natural language processing, machine learning, and dynamic and interactive algorithms that not only help in improving quality of care delivery for the patients, but also enhances hospitals’ bottom line.
This growth opportunity-technology (GO-TE) report covers the technology developments in advanced CDSS, the utility of these platforms and various growth opportunities for the industry. The report covers innovations in advanced CDSS platforms that are being implemented in healthcare settings including clinical guidelines and evidence-based solutions, medical workflow solutions, and point-of-care solutions.
The scope of this GO-TE is global. This GO-TE studies some of the path breaking innovators in this space and the technology readiness levels.
Notable government and private funding, partnerships, and acquisition activities are investigated in this report. The growth opportunities offered by advanced CDSS platforms and the key patents filled by technology developers in the last two years are also discussed.

Table of Contents

1.1 Scope of the Research

1.2 Research Methodology

1.2 Research Methodology (continued)

2.1 Technology Overview

2.2 Alert Fatigue, Diagnostic Errors and Fragmented Clinicians Workflow are Prominent Limitations of Traditional CDSS Platforms

2.3 Technology Segmentation for Advanced CDSS Platforms

2.4 Addressing Alert Fatigue and Surgical Variability Through CDSS Solutions Using Evidence-based Reference Content

2.5 CDSS Platforms Facilitating Enhanced Workflows and Revenue Optimization Through Automated Clinical Documentation and Medical Coding

2.6 CDSS Tools Leveraging Patient Health Data Sourced from Different Medical Devices to Improve Health Outcomes at Point-of-care

2.7 Application Analysis: Increasing Application Areas Offer Lucrative Growth Opportunities for Companies Developing Advanced CDSS Platforms

3.1.1 Clinical Guidelines and Evidence-based CDSS Tool for Providing Optimal Therapy Options for Patients

3.1.2 Other Notable Clinical Guidelines and Evidence-based CDSS Platforms

3.2.1 Procedure Documentation Solutions for Facilitating Uninterrupted Medical Workflow

3.2.2 Other Notable CDSS Medical Workflow Platforms

3.3.1 Point-of-care CDSS Platform for Improving Disease Management in the Patients

3.3.2 Other Notable CDSS Point-of-care Solutions

4.1 Improved Sepsis Diagnosis and Treatment Through Clinical Guidelines and Evidence-based CDSS Tool

4.2 Enhancing Clinical Productivity and Care Delivery Through Procedure Documentation Platform

4.3 CDSS Point-of-care Solutions Facilitating Improvement in Healthcare Costs Through Antimicrobial Stewardship Interventions

5.1 Analysis of National Institutes of Health (NIH) Funding for Advanced CDSS Tools

5.2 Funding Assessment for Advanced CDSS Tools

5.3 Strategic Industry-Industry and Industry-Academia Partnerships for Developing New CDSS Platforms, and Enhancing Functionalities and Improving Access of Existing Ones

5.4 Acquisitions of CDSS Participants by Digital Health and Private Investment Firms for Improving Product Portfolio

6.1 Growth Opportunity 1: Addressing Transparency Issues to Improve CDSS Platforms Adoption Among Healthcare Providers

6.1 Growth Opportunity 1: Addressing Transparency Issues to Improve CDSS Platforms Adoption Among Healthcare Providers (Continued)

6.2 Growth Opportunity 2: CDSS Platforms for Decreasing Hospital Readmissions and Enhancing Patient Care in Home Care Settings

6.2 Growth Opportunity 2: CDSS Platforms for Decreasing Hospital Readmissions and Enhancing Patient Care in Home Care Settings (Continued)

7.1 Using EHR Metadata for Refining Alerts Generated by CDSS Platforms

7.2 Leveraging Information from CDSS Tools and other Data Sources to Forecast Future Disease Outbreaks

7.3 Key Patents to Check

7.3 Key Patents to Check (Continued)

7.3 Key Patents to Check (Continued)

8.1 Key Contacts

9.1 Your Next Steps

9.2 Why Frost, Why Now?

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Related Research
Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients health outcomes as well as healthcare providers profitability. These limitations have necessitated the development of advanced CDSS tools that use technologies, such as natural language processing, machine learning, and dynamic and interactive algorithms that not only help in improving quality of care delivery for the patients, but also enhances hospitals bottom line. This growth opportunity-technology (GO-TE) report covers the technology developments in advanced CDSS, the utility of these platforms and various growth opportunities for the industry. The report covers innovations in advanced CDSS platforms that are being implemented in healthcare settings including clinical guidelines and evidence-based solutions, medical workflow solutions, and point-of-care solutions. The scope of this GO-TE is global. This GO-TE studies some of the path breaking innovators in this space and the technology readiness levels. Notable government and private funding, partnerships, and acquisition activities are investigated in this report. The growth opportunities offered by advanced CDSS platforms and the key patents filled by technology developers in the last two years are also discussed.
More Information
No Index No
Podcast No
Author Neeraj Nitin Jadhav
Industries Healthcare
WIP Number D9F1-01-00-00-00
Is Prebook No