Healthcare Decision Support System (HDSS) is known to be an interactive DSS application/software that assists healthcare providers and professionals during their decision making to establish the diagnosis based on the data of the heath-seeker (In Moon & In Galea, 2016). HDSS products relate known information network with health observations for controlling alternative causes of actions by health providers such as Clinicians and Doctors so as to enhance the management of medical practices. Healthcare Decision Support is critical in making judgments based on the patient database for generating out an effective consultation/therapy on case specifics.
A functional knowledge HDSS application helps healthcare providers and professionals during the points of care by utilising patient data in producing case-specific advisory guidance for these health professionals to arrive at the most appropriate decisions. For instance, when physicians or doctor input information or data into the system, the HDSS software offers outputs coupled with options aimed at proper checks and diagnosis so that they can find out and act on the relevance of such diagnosis (Romano & Stafford, 2011).
As a result, such evidence-based HDSS facilitates healthcare providers not only in pre, as well as during diagnoses but also during post diagnosis done on patients. Such diagnoses do cover the following aspects; preparation of diagnoses, filtering/reviewing preliminary options, and concluding an existing correlation between patients and their health history, so as to forecast likely events and outcomes.
HDSS associate both the base of medical knowledge and patient health observations especially for case-specific assistance in the determination of relevant and proper patient diagnoses, particularly in fundamental predictive analytics and decision management, for the enhancement of clinical outcomes (Burstein & Holsapple, 2008). Therefore, clinician/physician’s knowledge added to their right suggestions drawn from the HDSS helps out during better diagnosis decision making on patients.
References
In Moon, J. D., & In Galea, M. P. (2016). Improving Health Management through Clinical Decision Support Systems.
Romano, M. J., & Stafford, R. S. (2011). Electronic Health records and clinical decision support systems: impact on national ambulatory care quality. Archives of internal medicine, 171(10), 897-903.
Burstein, F., & Holsapple, C. W. (2008). Handbook on decision support systems. Berlin: Springer.
