The knowledge base for DXplain contains more than 65,000 relationships between diseases and patient descriptors (or clinical manifestations). The format for these relationships and the data structures are similar to the format and data structures used in the INTERNEST/QMR system except that in DXplain terms cannot only support a given diagnosis, but can also contradict other diagnoses. The relationships in DXplain are concerned with three different elements: 1) term importance, 2) term frequency and 3) term-evoking power. Term importance is used to express how significant the particular term is in indicating the presence of disease. A high term importance is given to findings that can be identified with high reliability or are rarely found …show more content…
The diseases are presented to the user in two lists: “common diseases” and “rare disease”; in addition, a serious disease (one that may require relatively immediate action) is so indicated on the list by an asterisk. The user can request DXplain to explain why any specific diagnosis was included. DXplain will present the clinical findings entered by the user that support the selection of that disease, the clinical findings that would not be expected in that disease, and additional clinical findings that would be expected if that disease was present. In this way, DXplain assists the user in understanding the logic used by the program and facilitates pattern matching by the user in comparing DXplain’s disease description with his/her knowledge about the patient. The intent is to present sufficient information so that the user can always use his/her own clinical judgment as to the appropriateness of DXplain’s …show more content…
This mode is particularly useful in helping the user select the clinical manifestations that are important without forcing them to enter a large number of less relevant findings. At any time in this mode, the user can interrupt DXplain to ask “Why?” i.e. to ask DXplain to justify why this particular clinical manifestation is important. DXplain will respond by displaying the name of the disease that is being considered at that point in the interaction and the reason the particular finding might be important in confirming the presence of that disease. DXplain’s ability to explain and justify are key elements of the system. It is critical that this system not be perceived as a magic black box that can somehow provide the “answer” to a complex diagnostic problem. We believe that physicians will not accept DXplain as a useful diagnostic assistant unless the clinical interpretations seem reasonable and unless the system can offer explanations that are understandable and persuasive. (Barnett et al.,
The International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) coding can be complex to the novice and experienced provider. However, they are a vital component of provider practice. Their usage provides information in a code to insurers, public health, and researchers booth nationally and international. The following will provide information related to ICD and CPT coding and how it was used in a recent clinical setting by two patients
➤ Diagnosis classification system developed by the Centers for Disease Control and Prevention for use in all U.S. health care treatment settings. Diagnosis coding under this system uses 3–7 alpha and numeric digits and full code titles, but the format is very much the same as ICD-9-CM
Disease classification information structures are very important for the health care community. The ICD is used to monitor health care disease and categorize the disease in a format that is universal to all health care organizations. The ICD has provided a system to assist in the reimbursement process for health care organizations. The ICD is also important to monitor diseases and prevent the spread of infection. The ICD information structure has provided a standard that
Historically, vocabulary and classification systems have been designed to meet different and specific goals. Many codes have been designed mainly to support administration (e.g. billing) so have typically included only a limited number of diagnosis code for each encounter. Widely-used, but essentially administration-oriented system, such as ICD, have been mandated by government agencies and /or payor organizations but capture clinical data at an insufficient level of detail to support clinical needs that lie outside the limited range of activities they were designed to support.
Differential Diagnoses (list a minimum of 3differential diagnoses).Your primary or presumptive diagnosis should be at the top of the list. Include the ICD9 or ICD10 codes in parentheses next to the diagnosis.
Exsys Corvid is an expert program that can operate with diverse clinical decision support systems (CDSS) to facilitate clinicians’ decision-making. This can be provided via the internet with JAVA properties or be run as a stand-alone system. Also, Corvid programs which can be incorporated into CDSS system conducts several positive services. For instance, it can retrieve and evaluate data, create reports automatically, continuously checks for and troubleshoot problematic issues, and notify appropriate personnel about atypical conditions (Exsys Corvid, 2007). However, this can only be successful if the logic rules are correct. The If/Then statements must be clearly stated and the rules should not be redundant or convoluted. In addition, it must
These advantages as: allowing for new theories to take place when updated information becomes available. Therefore, further hypothesis development is allowed. In addition, objective and independent testing of hypothesis can be provided by this model. This model creates a basis of defining the success of the treatment or management, where the correct diagnosis can be reached when the decision making improved by the incorporation of decision tree (Aspinall, 1979). Some complexities may appear during applying this model, however, these complexity of the decision can be viewed as a useful way to succeed the process of the decision making (O'Neill, Dluhy, & Chin, 2005). Manias and colleagues
By using the Dxplain application, the physician enters data usually used for diagnosis like lab values, patient history, signs, and radiology results. Then DXplain will list the potentials with both common and uncommon diseases. It will designate the differential diagnosis with a follow up selections to narrow the list of the probabilities. The Dxplain also turn as database to permit clinicians to search for information for exact diseases which could include more than 2200 diseases, and offer literature locations and links for each one. In addition, the program can also display the possible clinical result for the given disease and it
The authors compare the following categories of data to analysis: radiology reports, laboratory results, clinical care summaries, and medication lists. They compared the hospital reported exchange the information with the providers outside the organization.
To be able to frame two differential diagnosis and one working diagnosis to the condition.
Some doctors also use a diagnostic framework with five or six levels for understanding the symptoms of the disease.
The International classification of diseases and related health problems, version 10 (ICD-10) in the United States, was the idea of the National center for health statistics (NCHS). The reason for this change was intended for organizing morbidity status. The new coding include has more addition into it that provides specificity and space for expansion of the code (CDC, 2017). The increased intricacy in the coding will cause challenges in documentation and coding. Proper training is necessary to overcome this kind of situation. Even though there are some downfalls in the initial stage of transformation the benefits are promising. The health care world will be more precise and in identifying diseases, and documenting procedures accurate prediction
The patient signs and symptoms, current or past medical history, blood test, and other physical findings during assessment can be a pattern recognition of patient symptoms might help lead to a diagnosis. However, a differential diagnosis can be made once the patient came into the clinic or the emergency room which I think is based on assumption. But when the symptoms did not resolve or the condition is deteriorating further test can be done to find the actual diagnosis. Experienced health care providers’ recognition a common pattern for a disease while a novice health care provider faces so many challenges trying to determine differential diagnosis and the final diagnosis.
Demonstrate the ability to determine potential acute and emergent differential diagnoses based on patient presentation as well as history and physical.
Also, a patient’s medical record is a rich source of clinical data(Gregory and Radovitzky, 2012). Therefore, they can provide the results of various test and treatments for the patient to provide an update on the patient’s progress. This allows for continuity of care for the patient as all involved