Here are 14 reasons why Medicode's 1998 Hospital ICD-9 is coder tested and coder approved.1. Guaranteed accuracy. Medicode has integrated all 1998 changes into this volume. In fact, they guarantee that if you make a coding error based on an outdated code while using their 1998 ICD-9, they'll give you next year's edition free. 2. Color coding to make fourth and fifth digits easy to find. 3. Easy to understand code definitions. 4. Color illustrations. 5. Color-coded index for ease of use. 6. Exclusive note save system that gives you room to write and a system to save important coding for next year's edition. 7. Coding tips. 8. Thumb-index tabs. 9. Spiral bound design. 10. Index checkmarks that identify invalid codes. 11. Medicare edits. 12. References to AHA's Coding Clinic. 13. Hospital revenue codes for supplies and services. 14. A useful self test.
The newest edition of this best-selling educational resource contains the essential information needed to understand all sections of the CPT codebook but now boasts inclusion of multiple new chapters and a significant redesign. The ninth edition of Principles of CPT(R) Coding is now arranged into two parts: - CPT and HCPCS coding - An overview of documentation, insurance, and reimbursement principles Part 1 provides a comprehensive and in-depth guide for proper application of service and procedure codes and modifiers for which this book is known and trusted. A staple of each edition of this book, these revised chapters detail the latest updates and nuances particular to individual code sections and proper code selection. Part 2 consists of new chapters that explain the connection between and application of accurate coding, NCCI edits, and HIPAA regulations to documentation, payment, insurance, and fraud and abuse avoidance. The new full-color design offers readers of the illustrated ninth edition a more engaging and far better educational experience. Features and Benefits - New content! New chapters covering documentation, NCCI edits, HIPAA, payment, insurance, and fraud and abuse principles build the reader's awareness of these inter-related and interconnected concepts with coding. - New learning and design features -- Vocabulary terms highlighted within the text and defined within the margins that conveniently aid readers in strengthening their understanding of medical terminology -- "Advice/Alert Notes" that highlight important information, exceptions, salient advice, cautionary advice regarding CMS, NCCI edits, and/or payer practices -- Call outs to "Clinical Examples" that are reminiscent of what is found in the AMA publications CPT(R) Assistant, CPT(R) Changes, and CPT(R) Case Studies -- "Case Examples" peppered throughout the chapters that can lead to valuable class discussions and help build understanding of critical concepts -- Code call outs within the margins that detail a code description -- Full-color photos and illustrations that orient readers to the concepts being discussed -- Single-column layout for ease of reading and note-taking within the margins -- Exercises that are Internet-based or linked to use of the AMA CPT(R) QuickRef app that encourage active participation and develop coding skills -- Hands-on coding exercises that are based on real-life case studies
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
