1.1 Objectives of Research

1.2 Outcomes of Research

1.3 Research Methodology

2.1 Challenges to offer more autonomy to patients

2.2 Lean innovation and diversifying business models are capital intensive

2.3 Technologies deliver higher level of patient centricity

3.1 Pace of market consolidation is very high worldwide

3.2 Rising demand for interoperable medical records of patients

3.3 Technologies focus on accommodating more patients within short intervals of time

3.4 Hospital readmission and rehospitalization programs impose penalties on care facilities

4.1 More efforts to improve operational efficiency via cost control measures

4.2 Higher adoption of artificial intelligence across various stages of care delivery

4.3 Recent improvements focus on reducing claim complexities and rehospitalizations

4.4 Traditional reimbursement models take months to process claims and revenue realization

5.1 AI-based Solution for Diagnosing Diabetic Retinopathy

5.2 Compliance Analytics to Detect Inappropriate Activity within Hospitals

5.3 Remote Patient Monitoring for Enhanced Care Delivery

5.4 Automated Documentation of Treatment Data to Reduce Transcription Errors

6.1 Hospitals focus on increasing efficiency with deployment of better human capital and resources

6.2 Wearables enables clinicians to track health and wellness in real-time and in a more collaborative manner

6.3 High degree of bottlenecks exist to effective implementation of strategy

7.1 Patentability is high for technologies focused on improving hospital infrastructure

7.2 Use of deep learning systems to automate procedure-determination and decision making

7.3 Deep learning neural records to classify data with expert input serving to be fast-learning model

7.4 Virtual reality enhances the training process with better handling of bio-signal data

8.1 List of Key Industry Participants

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