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Overview: In 2013, The US Department of Health and Human Services made major changes to rules implementing The Health Insurance and Portability Act of 1996 (HIPAA) and Health Information Technology for Economic and Clinical Health Act of 2003 (HITECH). Among the many areas impacted by these rules (billing, marketing, research, IT security, etc.) is fund raising. The amendments significantly modify the methods and practice that hospitals, their institutionally related foundations, and other healthcare charities may or must employ when using ANY patient or client information for fund raising. The webinar will cover how to effectively implement the fund raising regulations in a manner that increases both opportunities for philanthropic support and compliant implementation of the new mandates. The rules include specific operational requirements, some of which prohibit protocols that were required under the original HIPAA regulations. The "magic words" mandated by HIPPA-related regulations changed in multiple areas. The webinar will cover all of these areas to ensure your organization is both legally compliant and operationally effective. The types of information that may be used for fund raising changed significantly. This presents numerous substantial fund raising opportunities, as well as challenges on the use and storage of such information. Among other areas to be presented are The required method for individuals to opt-out of receiving fund raising communication The methods of informing patients and clients of their right to opt-out from receiving fund raising communication The broadly expanded types of fund raising communication subject to opt-out rights How providers, hospital, and related fund raising foundation apply an opt-out election by an individual The type of patient and client information that health charities may use for fund raising The contents of provider's Notice of Privacy Practice How clinicians can assist both their patients/clients and the

Overview: Upon completing this course participants will leave with a preliminary preventive control implementation plan and will: * Understand US FDA final rules for the Preventive Controls for Human and Animal Foods * Define and review your current system to identify gaps in your preventive controls planning. * Be able to develop and implement a valid preventive control company food safety plan to close any gaps * Write and implement appropriate procedures. * Know your requirements for control over your supply chain * Be able to plan and implement HARPC * Be able to perform environmental monitoring * Know how cross contamination can impact your preventive control plan * Know the difference between validation and verification * Understand and be able to use statistical process controls basics * Be able to plan and implement a team approach to preventive controls * Be able to help your food importers to jump through FDA hoops * Develop a system to risk rank your suppliers * Have a plan in hand that will pass any validation check for preventive controls * Understand some of the technology and costs that can help you establish preventive controls * Prove that your system actually prevents food safety problems * Be able to document and report results to upper management, external food safety auditors and FDA auditors * Save your company money Establish simple, low cost complete data collection and reporting systems. * Establish teambuilding between food safety and quality personnel to develop and implement changes to your current system * Understand food safety, security and recall responsibilities in light of cargo theft, adulteration and temperature failures * Learn how to use your system to get some ROI and improve your marketing position * Review current and future technologies designed to improve and simplify data collection * Establish a completely documented system Why should you attend: Validation of preventive co

2-day In-person Seminar Applied Statistics, with Emphasis on Risk Management in R&D, QA/QC, and Manufacturing Overview: The 2-day seminar explains how to apply statistics to manage risk in R&D, QA/QC, and Manufacturing, with examples derived mainly from the medical device design/manufacturing industry. The flow of topics over the 2 days is as follows: ISO standards and FDA/MDD regulations regarding the use of statistics. Basic vocabulary and concepts. Statistical Process Control Statistical methods for Design Verification Statistical methods for Product/Process Qualification Metrology: the statistical analysis of measurement uncertainty, and how it is used to establish QC specifications How to craft "statistically valid conclusion statements" (e.g., for reports) Summary, from a risk management perspective Agenda Day One Lecture 1: Regulatory Requirements Lecture 2: Vocabulary and Concepts Lecture 3: Confidence Intervals (attribute and variables data) Lecture 4: Normality Tests and Normality Transformations Lecture 5: Statistical Process Control (with focus on XbarR charts) Lecture 6: Confidence/Reliability calculations for Proportions Lecture 7: Confidence/Reliability calculations for Normally distributed data (K-tables) Lecture 8: Process Capability Indices calculations(Cp, Cpk, Pp, Ppk) Day Two Lecture 1: Confidence/Reliability calculations using Reliability Plotting (e.g., for non-normal data and/or censored studies) Lecture 2: Confidence/Reliability calculations for MTTF and MTBF (this typically applies only to electronic equipment) Lecture 3: Statistical Significance: t-Tests and related "power" estimations Lecture 4: Statistical Significance: ANOVA calculations Lecture 5: Metrology (Gage R&R, Correlation, Linearity, Bias , and Uncertainty Budgets) Lecture 6: QC Sampling Plans (C=0 and Z1.4 attribute AQL plans, and alternatives to such plans) Lecture 7: Statistically valid statements for use in reports Lecture 8: Summary and Impleme