The scenario of maternal and pediatric health in the Philippines has been an ongoing problem. This paper discusses a tool developed to expedite the process of diagnosing, informing the patient and prescribing the appropriate medication using novel techniques in dynamic programming. With the integration of a medical knowledge base, existing patient data and an inference engine, we are able to generate a case specific advise acting as a decision support system for medical practitioners. The goal to facilitate an improved delivery of diagnosis aiding physicians in giving timely and appropriate advice. A team of pediatric physicians piloted and tested this tool garnering an average usability rating of 9.2 over 10.
Keywords: Inference engine, dynamic programming, knapsack, e-health;
Clinical Decision Support Systems (CDSS) are active knowledge systems which use two or more items of patient data to generate case-specific advice. This system forms a significant part of the field of clinical knowledge management technologies through their capacity to support the clinical process and use of knowledge, from diagnosis and investigation through treatment and long-term care. It usually uses integrated database systems with custom front-end user interface that is designed to help physicians address their computerization needs with regards to the information of their patients.
This paper discusses the creation, development and testing of a CDSS targeted for Pediatric Physicians. Related literature is discussed in the next section while having results of usability testings and discussions in mentioned in the latter sections. Findings and insights are discussed as well in the latter parts of this paper.
It actually integrated Decision Support Systems (DSS) into their day to day operating activities. Decision Support Systems are a class of computerized information system that supports decision-making activities. It is an interactive computer-based systems and subsystems intended to help decision makers use communication technologies, data, documents, knowledge and/or models to complete decision process tasks. When DSS is used effectively, they may improve the quality of the diagnostic process in accuracy and efficiency. Making an update on patients’ health information, and giving accurate prescriptions will be more strategic. Also, chosen users (e.g. physicians, medical staff, and patients) can access the information they need without hassle. CDSS has included the impact of the system on the quality of decision making, impact on clinical actions, usability, integration with workflow, and the quality of clinical advice offered.One theory that prompted this research on how patients are being diagnosed that leads to misdiagnosis or giving a delayed diagnosis by the doctor. A number of fetal injuries can be caused by medical malpractice; including brain injuries (such as cerebral palsy and seizure disorders), fractured bones, and erb’s and klumpke’s palsy (damage to nerves that control the arms and hands). However, keep in mind that these injuries are more often caused by something other than medical malpractice (Studdert 2006) . A physician or obstetrician’s negligence can happen during childbirth or long before. If negligent medical treatment is provided during the pregnancy, it could harm the fetus or the mother (or both). Some examples of negligent prenatal care include the physician or obstetricians:
failure to diagnose a medical condition of the mother, such as preeclampsia, Rh incompatibility, hypoglycemia, anemia, or gestational diabetes
failure to identify birth defects
failure to identify ectopic pregnancies, or
failure to diagnose a disease that could be contagious to the mother’s fetus (such as genital herpes or neonatal lupus).
A doctor’s negligence during childbirth could cause injury to the baby and harm to the mother. Common medical errors during childbirth include the physician or obstetricians:
failure to anticipate birth complications due to the baby’s large size or because the umbilical cord got tangled
failure to respond