Clinical decision support systems can be described as information technology systems with a special focus on maintaining the good health of patients. Physicians and other healthcare professionals utilize clinical decision support processes to help in their tasks which are related to the health of various patients. A decision support system can be used before, during or after the diagnosis to understand a patient’s condition and her/his previous medical history. Thus, the Clinical Decision Support Systems Market has plenty of potential for growth during the forecast period of 2017-2022. 

Scope & Regional Forecast of the Clinical Decision Support Systems Market

The Clinical Decision Support Systems Market has noticed a rise in demand for seamless transfer of medical information by utilizing the services of clinical decision support system vendors. The integration of the healthcare decision support systems with health records of electronic nature is predicted to be the norm in a few years. Wider adoption of the medical decision support system is expected to result in a reduction of costs, easy access to data from a variety of devices and superior storage ability.

Currently, the Clinical Decision Support Systems Market is dominated by demand from North America. Most of the major clinical decision support companies are located in this region and have enjoyed the benefits of early adoption. Another boost for medical decision management systems was the reduction of costs enabled through Obamacare. Medical support systems are also slowly being integrated with an improving healthcare infrastructure in Asia-Pacific. Countries like China and India are expected to drive future demand due to this reason.

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Segmentations & Key Players Involved in the Clinical Decision Support Systems Market

The Clinical Decision Support Systems Market can be broken down into various segmentations on the basis of –

Decision Making Mechanism: Knowledge-based CDSS (Fuzzy Logic-Based, Rule-Based, Evidence-Based) and Non Knowledge-based CDSS (Artificial Neural Networks, Genetic Algorithms).

Application: Alerts and Reminders, Diagnostic Assistance, Documentation forms, Order creation facilitators, Protocol support, Image Recognition and Interpretation, Prescription Decision Support, Information Retrieval, Therapy Critiquing and Planning and Others.

Timing of Use: Pre-diagnosis, During diagnosis and Post- diagnosis.

Device: Stand Alone Devices and Data Entry Integrated Systems.

End User: Clinics, Hospitals, Pharmacy and Others.

Some of the key players involved in the Clinical Decision Support Systems Market are as follows:

• Wolters Kluwer Health, Inc.

• Zynx Health Incorporated

• Truven Health Analytics, Inc.

• Massachusetts General Hospital

• ICNet International Limited

• Elsevier Clinical Decision Support

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