The intellectual information system of medical aid control in the scope of Russian medical insurance

The article presents the developed intellectual information system, oriented for healthcare providers. The system solves a problem of medical aid quality control in the Russian medical insurance sphere. The main components are ISO13606, fuzzy logic and a case-based reasoning concept. The system provides medical insurance payments forecasting by the analysis of medical records and generates two evaluations based on medical standards and a set of precedents. The result of the system implementation allowed up to a 10% increase in insurance payments for the healthcare provider

The intellectual information system of medical aid control in the scope of Russian medical insurance

The article presents the developed intellectual information system, oriented for healthcare providers. The system solves a problem of medical aid quality control in the Russian medical insurance sphere. The main components are ISO13606, fuzzy logic and a case-based reasoning concept. The system provides medical insurance payments forecasting by the analysis of medical records and generates two evaluations based on medical standards and a set of precedents. The result of the system implementation allowed up to a 10% increase in insurance payments for the healthcare provider

The impact of machine learning on the efficiency of the B2B sales service in pharmaceutical companies

The explanatory study examines the possible value of Machine Learning in the B2B sales process in pharmaceutical companies. Sales representatives accounting for a wide range of activities, suffering from time consuming and repetitive tasks. This study investigates the potential of Machine Learning applications for B2B sales in order to facilitate sales representative’s daily tasks and enhance the entire sales process. The results have been obtained through qualitative research based on 8 interviews with AI-experts, pharma consultants and sales representatives as well as secondary data in form of academic articles and reports. The findings reveal that, compared to other departments, ML-applications in B2B sales are less applied at the current stage, but mostly in the customer service process. The interviews have shown that the usage of ML-applications is possible within all steps of the sales process and enhances its overall efficiency and effectivity in terms of time, costs and quality. Furthermore, tasks which increase the efficiency of the sales department through ML applications are outlined. By applying ML within the B2B sales process, the daily work of sales representatives can be facilitated, which ultimately could not only have a positive impact on customer satisfaction, but also on employee commitment leading to competitive advantage in the price intense environment of the pharmaceutical industry.O presente estudo foca-se na possível importância da Aprendizagem Automática no serviço de vendas B2B em Empresas Farmacêuticas. Representantes de vendas responsáveis por uma grande variedade de actividades, afectados pelas demoradas e longas tarefas. Esta dissertação examina o potêncial da Aprendizagem Automática nas vendas B2B a fim de facilitar as tarefas diárias dos representantes de vendas, e de melhorar ainda todo o processo de vendas. Os resultados são obtidos através de uma pesquisa qualitativa baseada em 10 entrevistas com AI-experts, consultantes farmacêuticos e representantes de vendas, assim como fichas de dados provenientes de artigos e relatórios. Os resultados revelam que, em comparação com outros departamentos, a aplicação da Aprendizagem Automática em vendas B2B são actualmente menos aplicadas, sobretudo no que diz respeito ao atendimento ao cliente. As entrevistas mostraram que o uso da Aprendizagem Automática é possível em todas as fases do processo de vendas sendo que melhora toda a sua eficiência e efetividade em termos de tempo, custos e qualidade. Posteriormente, as tarefas de vendas mais eficientes dentro das farmácias estão estabelecidas; pelo que, a introdução da Aprendizagem Automática dentro do processo de vendas B2B poderá facilitar e, inclusive, melhorar o trabalho dos representantes de vendas, sendo que esta otimazação poderá, por conseguinte, não só ter um impacto positivo na satisfação do cliente como também no compromisso dos empregados originando, desta forma, uma vantagem competitiva face ao intenso ambiente de preços na industria farmacêutica

Yale Medicine : Alumni Bulletin of the School of Medicine, Winter 1999- Summer 1999

This volume contains Yale medicine: alumni bulletin of the School of Medicine, v.33 (Winter-Summer 1999). Prepared in cooperation with the alumni and development offices at the School of Medicine. Earlier volumes are called Yale School of Medicine alumni bulletins, dating from v.1 (1953) through v.13 (1965). Digitized with funding from the Arcadia fund, 2017.https://elischolar.library.yale.edu/yale_med_alumni_newsletters/1014/thumbnail.jp

Evaluating the cost-effectiveness of St. John\u27s wort versus fluoxetine for the treatment of mild to moderate depression

The objective of this study was to determine the cost-effectiveness of St. John\u27s Wort compared to fluoxetine from a third party perspective for the treatment of mild to moderate depression. Fluoxetine 20 mg daily was compared to St. John\u27s Wort 300 mg thrice daily in a decision tree modeling depression management in the outpatient setting. Probabilities were obtained from a Medline search as well as input from an expert panel. Direct medical costs were obtained from medical offices in the Connecticut area with drug and herb cost based on 2002 published data. Several sensitivity analyses were performed. The cost-effectiveness ratio for St. John\u27s Wort was {dollar}1,788 per successful treatment compared to {dollar}2,043 for fluoxetine. Results were sensitive only to large fluctuations in cost of drug or herb therapy. Thus, St. John\u27s Wort is a viable option for patients with mild to moderate depression

Improving the Process of Anatomical Specimen Transportation over Long Distances Using Lean Methodologies: A Case Study

Industry experts agree the health care industry in the United States has been fraught with rising costs and wastes for many years. The purpose of this study was to investigate and examine the potential benefits of applying Lean methods to improve specimen transportation over long distances. Lean processing has been used in manufacturing for decades and has recently been adapted for use in health care. Lean addresses waste, efficiency, process flow, and bottleneck issues. Lean was selected over Six Sigma because Lean based projects are more straightforward, less costly to implement and increase the efficiency to reduce waste that may have an impact on the bottom line of the organization. While numerous peer-reviewed articles focus on the current costs of health care, Lean, change management, and transportation, less is known about the impact of Lean on specimen transportation. Using a case study approach, this work identified inefficiencies on transporting anatomic specimens from Atlanta to Brunswick, GA. It compared four Models that ranged from no change to the current process (Model 1) to setting up a satellite facility and flying (via Delta Cargo) the specimens to the laboratory (Model 4). The results showed each of the Models demonstrated different amounts of efficiency, waste, costs, and savings. Model 1 (retention of present process) was the least efficient and most expensive. Model 2 (using Delta Cargo to fly the specimens to the laboratory) provided greater efficiency with savings of more than $400,000. Model 3 (using FedEx and UPS) also showed excellent efficiency with potential savings of over$417,000. Model 4 (accessioning specimens at a satellite facility in Atlanta and flying them to Brunswick) had the best efficiency and showed an approximate cost savings of over $360,000. If the savings are extended to sales equivalency utilizing a net profit margin of 1.11$36.9 million. Implementing and sustaining a Lean program will potentially return significant benefits with a decrease in costs and an increase in efficiency and bottom-line revenue