Documents » electronically submits health service questionnaire sf 36 data.
Abstract: Electronic
health records can provide many benefits for patients and
health care providers and insurers.
Health care technology managers should have a strategic technical background to make informed decisions about integrating, partnering, or supporting personal
health care record (PHR) solutions. Learn best practices on implementation, and how to leverage your existing
health care technologies with new PHR platforms.
PubDate: 4/11/2008 10:59:00 AM
Abstract: Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving a company via e-mail or Web applications. Database activity monitoring (DAM) is a data center technology that monitors how stored data is accessed. Learn why DAM complements DPL, and how you can benefit by making it part of your overall data security strategy.
Abstract: The US Health Insurance Portability and Accountability Act (HIPAA) of 1996 applies to health care providers, health plans, and clearing houses that electronically maintain or transmit health information. Among other things, these entities are required to have data backup plans, disaster recovery plans, and emergency mode operation plans. Fortunately, there is a way to meet these security and contingency requirements.
Abstract: Offering health insurance is critical to recruiting new employees and retaining current staff. Taking care of your employees and attracting future intellectual property is a high priority in any business. But is it possible to find an affordable health plan in today’s costly health insurance market? Discover what insurance brokers can do for your business.
Abstract: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.
Abstract: Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
Abstract: Software technologies can provide a single point of entry for prospects and health plan providers to educate new or renewing prospects on the full value of each offering. Behind the scenes, these technologies can also record all prospect preferences to allow sales, marketing, advertising, and product development to benefit from more targeted offerings and personalized messaging, at greatly reduced costs.
Abstract: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of bad data are all offered in this paper.
Abstract: Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.
Abstract: Server security is a key issue for the health care industry. Between an expanding body of regulations and the need for 24/7/365 system availability, it’s essential to address vulnerabilities as soon as possible. But with constant new threats, protecting your server isn’t easy. Learn about the special needs of server security in the health care environment, and how you can have comprehensive protection with no down time.
Abstract: Delivering quality health care in today’s environment means facing greater economic pressures, regulatory and compliance issues, and ongoing shortages of qualified professionals. Hanging on to traditional paper-based operations may be intensifying your problems. Learn about how people management technology can help you find the qualified nursing and health care personnel you need, and manage compliance issues too.
Abstract: Sykes-Health Plan Service Bureau (SHPS) was growing and needed a solution that could boost its productivity and deliver results to its clients. Processing thousands of health- and benefit-related forms was a major component of its business, and as such, employees faced ever-increasing workloads. To ease the load, SHPS implemented AnyDoc’s optical character recognition (OCR) solution and drastically reduced labor costs.
Abstract: What do you do with a growing number of customers and not enough office space for workers? Health eConnex, a health care claims-processing service, found the solution in optical character recognition (OCR) for AnyDoc Software’s remote verification feature. Now employees telework, processing 75,000 claims a day with 99.5 percent accuracy. Learn how the solution helped make manual data entry a thing of the past.
Abstract: For the National Institute of Mental Health (NIMH) to fulfill its vital health mission, it must expedite and streamline its workflow processes—and the forms, approvals, and documents associated with those processes. As NIMH grew, tracking and managing forms was just one challenge that needed to be addressed. Learn about the Web-based workflow software that provides users with automated business process management.
Abstract: Electronic product code information services (EPCIS) is a standard mechanism for inter-company collaboration and data sharing, which can enable health care partners to deploy solutions that meet short-term mandates driven by patient safety, as well as lay the foundation for long-term business value. Learn more about the impact of EPCIS in a study concerning data management and data sharing in the health care supply chain.
Abstract: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Abstract: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.
Abstract: Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.
Abstract: Most service delivery managers and executives quickly realize that there are a number of 'pain points' involved in trying to manage service delivery efficiently, which can lead to a complete inability to manage business. However, the Service Network Optimization (SNO) model from ServicePower is a set of service offerings and technology designed to help service organizations make the right decisions.