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Diagnosis-related group (DRG) is a system to classify hospital cases into one of originally 467 groups, with the last group being "Ungroupable". This system of classification was developed as a collaborative project by Robert B Fetter, PhD, of the Yale School of Management, and John D. Thompson, MPH, of the Yale School of Public Health. The system is also referred to as "the DRGs", and its intent was to identify the "products" that a hospital provides. One example of a "product" is an appendectomy. The system was developed in anticipation of convincing Congress to use it for reimbursement, to replace "cost based" reimbursement that had been used up to that point. DRGs are assigned by a "grouper" program based on ICD diagnoses, procedures, age, sex, discharge status, and the presence of complications or comorbidities. DRGs have been used in the US since 1982 to determine how much Medicare pays the hospital for each "product", since patients within each category are clinically similar and are expected to use the same level of hospital resources. DRGs may be further grouped into Major Diagnostic Categories (MDCs). DRGs are also standard practice for establishing reimbursements for other Medicare related reimbursements such as to home healthcare providers.
The Major Diagnostic Categories (MDC) are formed by dividing all possible principal diagnoses into 25 mutually exclusive diagnosis areas. MDC codes, like diagnosis-related group (DRG) codes, are primarily a claims and administrative data element unique to the United States medical care reimbursement system. DRG codes also are mapped, or grouped, into MDC codes.
Case mix, also casemix and patient mix, is a term used within healthcare as a synonym for cohort; essentially, a case mix groups statistically related patients. An example case mix might be male patients under the age of 50, who present with a myocardial infarction and also undergo emergency coronary artery bypass surgery.
In medicine, comorbidity - from Latin morbus ("sickness"), co ("together"), -ity - is the presence of one or more additional conditions often co-occurring with a primary condition. Comorbidity describes the effect of all other conditions an individual patient might have other than the primary condition of interest, and can be physiological or psychological. In the context of mental health, comorbidity often refers to disorders that are often coexistent with each other, such as depression and anxiety disorders. The concept of multimorbidity is related to comorbidity but presents a different meaning and approach.
Intensive care medicine, also called critical care medicine, is a medical specialty that deals with seriously or critically ill patients who have, are at risk of, or are recovering from conditions that may be life-threatening. It includes providing life support, invasive monitoring techniques, resuscitation, and end-of-life care. Doctors in this specialty are often called intensive care physicians, critical care physicians or intensivists.
A medical error is a preventable adverse effect of care ("iatrogenesis"), whether or not it is evident or harmful to the patient. This might include an inaccurate or incomplete diagnosis or treatment of a disease, injury, syndrome, behavior, infection, or other ailment.
APACHE II is a severity-of-disease classification system, one of several ICU scoring systems. It is applied within 24 hours of admission of a patient to an intensive care unit (ICU): an integer score from 0 to 71 is computed based on several measurements; higher scores correspond to more severe disease and a higher risk of death. The first APACHE model was presented by Knaus et al. in 1981.
The SOAP note is a method of documentation employed by healthcare providers to write out notes in a patient's chart, along with other common formats, such as the admission note. Documenting patient encounters in the medical record is an integral part of practice workflow starting with appointment scheduling, patient check-in and exam, documentation of notes, check-out, rescheduling, and medical billing. Additionally, it serves as a general cognitive framework for physicians to follow as they assess their patients.
The pneumonia severity index (PSI) or PORT Score is a clinical prediction rule that medical practitioners can use to calculate the probability of morbidity and mortality among patients with community acquired pneumonia.
Emergency psychiatry is the clinical application of psychiatry in emergency settings. Conditions requiring psychiatric interventions may include attempted suicide, substance abuse, depression, psychosis, violence or other rapid changes in behavior. Psychiatric emergency services are rendered by professionals in the fields of medicine, nursing, psychology and social work. The demand for emergency psychiatric services has rapidly increased throughout the world since the 1960s, especially in urban areas. Care for patients in situations involving emergency psychiatry is complex.
In health care, diagnosis codes are used as a tool to group and identify diseases, disorders, symptoms, poisonings, adverse effects of drugs and chemicals, injuries and other reasons for patient encounters. Diagnostic coding is the translation of written descriptions of diseases, illnesses and injuries into codes from a particular classification. In medical classification, diagnosis codes are used as part of the clinical coding process alongside intervention codes. Both diagnosis and intervention codes are assigned by a health professional trained in medical classification such as a clinical coder or Health Information Manager.
Case mix index (CMI) within health care and medicine, is a relative value assigned to a diagnosis-related group of patients in a medical care environment. The CMI value is used in determining the allocation of resources to care for and/or treat the patients in the group.
Case management is a managed care technique within the health care coverage system of the United States. It involves an integrated system that manages the delivery of comprehensive healthcare services for enrolled patients. Case managers are employed in almost every aspect of health care and these employ different approaches in the control of clinical actions.
An early warning score (EWS) is a guide used by medical services to quickly determine the degree of illness of a patient. It is based on the vital signs. Scores were developed in the late 1990s when studies showed that in-hospital deterioration and cardiac arrest were often preceded by a period of increasing abnormalities in the vital signs.
The risk of mortality (ROM) provides a medical classification to estimate the likelihood of in-hospital death for a patient. The ROM classes are minor, moderate, major, and extreme. The ROM class is used for the evaluation of patient mortality.
Medical diagnosis is the process of determining which disease or condition explains a person's symptoms and signs. It is most often referred to as diagnosis with the medical context being implicit. The information required for diagnosis is typically collected from a history and physical examination of the person seeking medical care. Often, one or more diagnostic procedures, such as medical tests, are also done during the process. Sometimes posthumous diagnosis is considered a kind of medical diagnosis.
Bundled payment is the reimbursement of health care providers "on the basis of expected costs for clinically-defined episodes of care." It has been described as "a middle ground" between fee-for-service reimbursement and capitation, given that risk is shared between payer and provider. Bundled payments have been proposed in the health care reform debate in the United States as a strategy for reducing health care costs, especially during the Obama administration (2009–2016). Commercial payers have shown interest in bundled payments in order to reduce costs. In 2012, it was estimated that approximately one-third of the United States healthcare reimbursement used bundled methodology.
The Donabedian model is a conceptual model that provides a framework for examining health services and evaluating quality of health care. According to the model, information about quality of care can be drawn from three categories: “structure,” “process,” and “outcomes." Structure describes the context in which care is delivered, including hospital buildings, staff, financing, and equipment. Process denotes the transactions between patients and providers throughout the delivery of healthcare. Finally, outcomes refer to the effects of healthcare on the health status of patients and populations. Avedis Donabedian, a physician and health services researcher at the University of Michigan, developed the original model in 1966. While there are other quality of care frameworks, including the World Health Organization (WHO)-Recommended Quality of Care Framework and the Bamako Initiative, the Donabedian Model continues to be the dominant paradigm for assessing the quality of health care.
A hospital readmission is an episode when a patient who had been discharged from a hospital is admitted again within a specified time interval. Readmission rates have increasingly been used as an outcome measure in health services research and as a quality benchmark for health systems. Generally, higher readmission rate indicates ineffectiveness of treatment during past hospitalizations. Hospital readmission rates were formally included in reimbursement decisions for the Centers for Medicare and Medicaid Services (CMS) as part of the Patient Protection and Affordable Care Act (ACA) of 2010, which penalizes health systems with higher than expected readmission rates through the Hospital Readmission Reduction Program. Since the inception of this penalty, there have been other programs that have been introduced, with the aim to decrease hospital readmission. The Community Based Care Transition Program, Independence At Home Demonstration Program, and Bundled Payments for Care Improvement Initiative are all examples of these programs. While many time frames have been used historically, the most common time frame is within 30 days of discharge, and this is what CMS uses.
In medicine, the Elixhauser Comorbidity Index is a measure of overall severity of comorbidities, predicting hospital length of stay, hospital charges, and in-hospital mortality. The higher the score, the higher the predicted hospital resource use and mortality rate are. For a physician, this score is helpful in deciding how aggressively to treat a condition.
References
- ↑ Wynn, Barbara O.; Scott, Molly (July 2007). Evaluation of Severity-Adjusted DRG Systems: Addendum to the Interim Report (PDF) (Report). RAND Corporation . Retrieved June 13, 2019.
- Averill RF, The evolution of case-mix measurement using DRGs: past, present and future, Stud Health Technol Inform. 1994;14:75-83.
- Averill R, Muldoon J, Vertrees J, Goldfield N, et al., The evolution of case mix measurement using diagnosis-related groups (DRGs), Physician Profiling and Risk Adjustment. In: Goldfield N, ed. 2nd ed. Frederick, MD: Aspen Publishers, Inc; 19