Staffing models are related sets of reports, charts and graphs that are used to precisely measure work activity, determine how many labor hours are needed, analyze how employee time is spent and calculate costs. Staffing models are used in the healthcare industry and use predictive analytics methods for forecasting. [1]
Staffing models provide:
Staffing models are also used to reduce overtime costs. [1]
Time presentation curves have been used to guide staffing in the emergency department. [3]
An emergency department (ED), also known as an accident and emergency department (A&E), emergency room (ER), emergency ward (EW) or casualty department, is a medical treatment facility specializing in emergency medicine, the acute care of patients who present without prior appointment; either by their own means or by that of an ambulance. The emergency department is usually found in a hospital or other primary care center.
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.
Health economics is a branch of economics concerned with issues related to efficiency, effectiveness, value and behavior in the production and consumption of health and healthcare. Health economics is important in determining how to improve health outcomes and lifestyle patterns through interactions between individuals, healthcare providers and clinical settings. In broad terms, health economists study the functioning of healthcare systems and health-affecting behaviors such as smoking, diabetes, and obesity.
The term managed care or managed healthcare is used in the United States to describe a group of activities intended to reduce the cost of providing health care and providing American health insurance while improving the quality of that care. It has become the predominant system of delivering and receiving American health care since its implementation in the early 1980s, and has been largely unaffected by the Affordable Care Act of 2010.
...intended to reduce unnecessary health care costs through a variety of mechanisms, including: economic incentives for physicians and patients to select less costly forms of care; programs for reviewing the medical necessity of specific services; increased beneficiary cost sharing; controls on inpatient admissions and lengths of stay; the establishment of cost-sharing incentives for outpatient surgery; selective contracting with health care providers; and the intensive management of high-cost health care cases. The programs may be provided in a variety of settings, such as Health Maintenance Organizations and Preferred Provider Organizations.
Patient safety is a discipline that emphasizes safety in health care through the prevention, reduction, reporting and analysis of error and other types of unnecessary harm that often lead to adverse patient events. The frequency and magnitude of avoidable adverse events, often known as patient safety incidents, experienced by patients was not well known until the 1990s, when multiple countries reported significant numbers of patients harmed and killed by medical errors. Recognizing that healthcare errors impact 1 in every 10 patients around the world, the World Health Organization (WHO) calls patient safety an endemic concern. Indeed, patient safety has emerged as a distinct healthcare discipline supported by an immature yet developing scientific framework. There is a significant transdisciplinary body of theoretical and research literature that informs the science of patient safety with mobile health apps being a growing area of research.
Pharmacoeconomics refers to the scientific discipline that compares the value of one pharmaceutical drug or drug therapy to another. It is a sub-discipline of health economics. A pharmacoeconomic study evaluates the cost and effects of a pharmaceutical product. Pharmacoeconomic studies serve to guide optimal healthcare resource allocation, in a standardized and scientifically grounded manner.
Patient dumping or homeless dumping is the practice of hospitals and emergency services inappropriately releasing homeless or indigent patients to public hospitals or on the streets instead of placing them with a homeless shelter or retaining them, especially when they may require expensive medical care with minimal government reimbursement from Medicaid or Medicare. The term homeless dumping has been used since the late 19th century and resurfaced throughout the 20th century alongside legislation and policy changes aimed at addressing the issue. Studies of the issue have indicated mixed results from the United States' policy interventions and have proposed varying ideas to remedy the problem.
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription.
The Healthcare Cost and Utilization Project is a family of healthcare databases and related software tools and products from the United States that is developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ).
Healthcare in the United States is subject to far higher levels of spending than any other nation, measured both in per capita spending and as a percentage of GDP. Despite this, the country has significantly worse healthcare outcomes when compared to peer nations. The U.S. is the only developed nation without a system of universal healthcare, with a significant proportion of its population not carrying health insurance.
Remote patient monitoring (RPM) is a technology to enable monitoring of patients outside of conventional clinical settings, such as in the home or in a remote area, which may increase access to care and decrease healthcare delivery costs. RPM involves the constant remote care of patients by their physicians, often to track physical symptoms, chronic conditions, or post-hospitalization rehab.
A medical scribe is an allied health paraprofessional who specializes in charting physician-patient encounters in real time, such as during medical examinations. They also locate information and patients for physicians and complete forms needed for patient care. Depending on which area of practice the scribe works in, the position may also be called clinical scribe, ER scribe or ED scribe, or just scribe. A scribe is trained in health information management and the use of health information technology to support it. A scribe can work on-site or remotely from a HIPAA-secure facility. Medical scribes who work at an off-site location are known as virtual medical scribes.
Health care quality is a level of value provided by any health care resource, as determined by some measurement. As with quality in other fields, it is an assessment of whether something is good enough and whether it is suitable for its purpose. The goal of health care is to provide medical resources of high quality to all who need them; that is, to ensure good quality of life, cure illnesses when possible, to extend life expectancy, and so on. Researchers use a variety of quality measures to attempt to determine health care quality, including counts of a therapy's reduction or lessening of diseases identified by medical diagnosis, a decrease in the number of risk factors which people have following preventive care, or a survey of health indicators in a population who are accessing certain kinds of care.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data, and patient behavior and sentiment data (patient behaviors and preferences,. Health care analytics is a growing industry in the United States, expected to grow to more than $31 billion by 2022. The industry focuses on the areas of clinical analysis, financial analysis, supply chain analysis, as well as marketing, fraud and HR analysis.
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.
Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to approximate conclusions based solely on input data.
Health care efficiency is a comparison of delivery system outputs, such as physician visits, relative value units, or health outcomes, with inputs like cost, time, or material. Efficiency can be reported then as a ratio of outputs to inputs or a comparison to optimal productivity using stochastic frontier analysis or data envelopment analysis. An alternative approach is to look at latency times and delay times between a care order and completion of work, and stated accomplishment in relation to estimated effort.
Medical outsourcing is a business process used by organizations like hospitals, nursing homes, and healthcare provider practices to obtain physician, nursing, healthcare technician, or other services in a managed services model.
Merative L.P., formerly IBM Watson Health, is an American medical technology company that provides products and services that help clients facilitate medical research, clinical research, real world evidence, and healthcare services, through the use of artificial intelligence, data analytics, cloud computing, and other advanced information technology. Merative is owned by Francisco Partners, an American private equity firm headquartered in San Francisco, California. In 2022, IBM divested and spun-off their Watson Health division into Merative. As of 2023, it remains a standalone company.
James R. Langabeer II is an American decision scientist, academic, and entrepreneur known for his theories on strategy and decision-making. He is the Robert H. Graham Professor of Entrepreneurial Biomedical Informatics and Bioengineering at The University of Texas Health Science Center at Houston, and maintains faculty appointments in the department of Emergency Medicine and Psychiatry.
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