To integrate the CDSS with clinicians workflow, however, remains a challenge, because there are no current standards for clinical workflow in India.
A large part of any physician’s work, especially in non-procedural disciplines, involves acquiring information and then, aided by evidence and experience, making decisions for the best possible outcome. In earlier days, this whole process could take place in the brain of the practitioner.While electronic health records and databases help physicians manage this rising tide of information, patient-specific recommendations provided by clinical decision support systems can do even more by improving decision making and helping ensure patient safety.
The types of CDSS available are as broad as human ingenuity allows: from personal digital assistant applications customized by a single clinician to multihospital mainframe-based surveillance systems meant to assure care for thousands of patients. The systems can be classified by the nature of their interaction with the clinician.
Seeking information In this type of interaction, a clinician seeks advice from the CDSS. Unsolicited information CDSS may have even more potential in applications that deliver unsolicited advice.These types of systems are in use today
Computerized physician order entry (CPOE) is another technology that enables the presentation of knowledge or information at the time of a clinical decision. Research that identifies CDSS methods that alert health care providers to errors has become a critical element in improving patient safety.
Diabetes systems might be the best example of cases where patient-specific data, such as blood glucose measurements and food intake, are used to generate customized educational modules and detailed dietary recommendations.
Integrated information systems
The CDSS is an integral part of this system, alongside laboratory, radiology, and health records. This blueprint can be used not only for large hospitals but also for distributed networks of care sites such as practitioners’ offices.
Do clinical decision support systems improve patient care?
Improved efficiency in health care delivery e.g. by reducing costs through faster order processing, reductions in test duplication, decreased adverse events, and changed patterns of drug prescribing favouring cheaper but equally effective generic brands.
What is the downside
Clearly, a successful CDSS intervention is dependent on the completeness and accuracy of the evidence base used to support it . To integrate the CDSS with clinicians workflow, however, remains a challenge, because there are no current standards for clinical workflow
Computer decision support systems integrated with computerized physician order entry can help make this worthwhile by leading to safer, more efficient, and more effective health care. IBM Watson is a beacon of hope for Clinical decision support system, currently it has been deployed in few premier hospitals for CDSS in Cancer patients.