A contextual care protocol is used by a medical practitioner for patient healthcare, given the context or situation that the specified patient is in. This paper proposes a method to build an automated self-adapting protocol which can help make relevant, early decisions for effective healthcare delivery. The hybrid model leverages neural networks and decision trees. The neural network estimates the chances of each disease and each tree in the decision trees represents care protocol for a disease. These trees are subject to change in case of aberrations found by the diagnosticians. These corrections or prediction errors are clustered into similar groups for scalability and review by the experts. The corrections as suggested by the experts are incorporated into the model.
L. G. presented a framework for diagnosing eye diseases using Neural Networks and Decision Trees. They proposed the hybrid model as Neural Networks Decision Trees Eye Disease Diagnosing System (NNDTEDDS) to train younger ophthalmologists. The use of neural networks is in the diagnosis according to the various symptoms, physical eye conditions and that of decision trees is in knowledge extraction from trained neural networks The various rules obtained according to symptoms explains the knowledge acquired in neural networks by learning from previous samples of symptoms and physical eye conditions @cite_2 .
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Clinical Decision Support Systems (CDSS) provide clinicians, staff, patients, and other indi‐ viduals with knowledge and person-specific information, intelligently filtered and present‐ ed at appropriate times, to enhance health and health care [1]. Medical errors have already become the universal matter of international society. In 1999, IOM (American Institute of Medicine) published a report “To err is Human” [2], that indicated: First, the quantity of medical errors is incredible, the medical errors had already became the fifth lethal; Second, the most of medical errors occurred by the human factor which could be avoid via the com‐ puter system. Improving the quality of healthcare, reducing medical errors, and guaranty‐ ing the safety of patients are the most serious duty of the hospital. The clinical guideline can enhance the security and quality of clinical diagnosis and treatment, its importance already obtained widespread approval [3]. In 1990, clinical practice guidelines were defined as “sys‐ tematically developed statements to assist practitioner and patient decisions about appropri‐ ate health care for specific clinical circumstances” [4].