Patients’ demographics include permanent patient information and demographic information that does not change very often. This data group includes age, sex, time and place of birth, place of residence, and some other data. Socioeconomic information includes current employment, income, and debt information. This column includes information about the patient’s marital status and family composition.
Administrative information includes the history of a person’s entry into various relationships regulated by law. For example, the presence of powers of attorney, fines, and mortgages are attributed to them. This column also includes a person’s residence registration and information on attachments to various medical facilities. Patient financial data includes the history of the patient’s financial relationship with a particular health care provider and billing details.
Clinical data collects information about surgeries, serious diagnoses, chronic illnesses, and drug intolerances. It also allows you to track your medical history. All data groups play an important role in building effective work with the patient (Lyons et al. 73). They will enable the doctor to draw informed conclusions about whether a particular therapy is appropriate for a patient with a specific picture of health, economic opportunities and lifestyle.
Often enough, information about the patient enables the doctor to understand the causes of a particular condition and to make decisions about the treatment method, considering whether the patient has loved ones who can help or whether it is more appropriate to keep the person in an inpatient facility. Moreover, this data allows staff to predict the occurrence of various diseases or complications.
The National Center for Health Statistics and Clinical Data Repository handles patient data. The former is the main agency of the Federal Statistical System, which provides statistical information to guide actions and policies to improve the quality of services provided. The data disposition aims to estimate the percentage, social and clinical group of patients who have received substandard medical care (Lyons et al. 55). Based on this data, actions are developed to improve the situation. The Clinical Data Repository collects patient data from the various clinical sites so the clinical staff can have the most informed patient data available to make the best therapeutic decisions.
Coding diagnoses is an important task in the day-to-day activities of physicians and facility management. The results of this process have an extensive impact on the healthcare organization’s processes and each hospital’s private work. The unification of information allows for faster and more coordinated interaction between doctors and the collection of more accurate statistical data, which will be used to analyze the medical system.
Table 1.
Category | What is it and how is it used? | List three Codes |
DRG | A system that allows all clinical cases to be classified into one of 467 groups. | 871 – septicemia or severe sepsis,
177 – respiratory infections & inflammations, 291 – heart failure & shock |
ICD-10 | An adaptation of the International Classification of Diseases designed to code medical procedures and operations. | H60 – otitis externa,
H61 – other disorders of external ear, H62 – disorders of external ear in diseases classified elsewhere |
HCPCS | A set of codes that classify medical procedures according to the American Medical Association’s Current Procedural Terminology. | G0008 – admin influenza virus vac,
G0009 – admin pneumococcal vaccine, G0010 – admin hepatitis b vaccine. |
NDC | Classification used to define medical drugs and include a list of current medications. | NDC 59417-116-01 –
20 mg of vyvanse NDC 59417-117-01 – 30 mg of vyvanse NDC 59417-118-01 – 40 mg of vyvanse |
CPT | A set of codes developed by the American Medical Association to describe major procedures prescribed to a patient. | 99214 – an office visit
99397 -a preventive exam for patients over 65 90658 – a flu shot |
Work Cited
Lyons, Maureen, et al. The Washington Manual of Outpatient Internal Medicine. Third, LWW, 2022.