Eob Form Template: Fill & Download for Free

Blue Button for America is the name the White House gave for the Presidential Innovation Fellows working on Blue Button.The BlueButton Plus Initiative has an active development community, and if you are at all interested you should join and get involved! Greg Meyer wrote a nice blog piece about Blue Button + if you want more background, and the relationship of this to MU and Direct.A Blue Button Implementation Guide was released in 2013, the following is just a cut and paste but I believe that it is still accurate as of 7/2014, e.g. I think work is underway on claims and EOB data structure. CMS made a test file (flat ASCII) to go along with this spec.Blue Button files from non-EMR sources typically come from administrative claims data, as well as potentially self-entered data on Personal Health Records. To the extent that data holders already have useful and meaningful health data for consumers’ Blue Button files, including from administrative claims data, the following data fields and elements are recommended for inclusion.Payer & Coverage InformationPayer namePayer ID type (e.g. CMS National Plan ID)Payer ID codePlan IDPayer web siteEligibility period start dateEligibility period end date (if applicable)Plan Type (e.g. Medical, Pharmacy, etc.)Primary Insurance vs. SecondaryPatient InformationPatient Name (Last, First)Patient Identifier (e.g. Member ID#)Provider Information (note: may be provided on a claims-level basis)Provider ID code (e.g. NPI)Provider Name (Last & First name or organization)Provider web siteClaims-Level DetailClaim-level DetailClaims ID numberDate of Service“Procedure” Code Type (e.g. CPT, HCPCS, NDC Rx code, ICD-9 CM procedure)“Procedure” Code(s)“Procedure” Description(s)Diagnosis Codes (e.g. ICD-9, ICD-10)Diagnosis Description(s)Health Financial AmountsProvider Charged Amount (“Amount charged”)Allowed/Negotiated Amount (“Insurance approved”)Paid-to-Provider Amount (“Provider paid”)Patient Responsibility (“You may be billed”)Deductible AmountCoinsurance AmountCopay AmountCoordination-of-Benefits (COB) AmountAdjustmentsExplanatory CodesOther Health Data Elements found in non-EMR data sourcesLaboratory result data (e.g. LOINC-coded results)Wellness & Care Management Program Alerts & InvitationsSecurity & Authentication HashesFurther detail on data fields and elements for Blue Button+ is available onhttp://wiki.siframework.org/ABBI+Payor+Content+Interim+Guidance.Blue Button+ Format Options:This section describes the recommended format options for Blue Button files. Note: multiple options can be offered simultaneously.ASCII Plain Text Format: the Blue Button file should ideally start with representing data fields currently shown in theMyMedicare.gov Blue Button file. The actual visual layout may differ, however, and plans are encouraged to provide public sample files and details of data fields supported if alternate structures are provided, for developer and trading partner use. Special note: the My HealtheVet Blue Button file from the Department of Veterans Affairs presents clinical data in another format. It was originally derived from clinical data rather than payer-based data, does not contain codified data, and is therefore not recommended for interoperability purposes (but rather human-readability, basic Blue Button “non-plus” purposes).CDA-formatted XML: for plans seeking to give consumers a file that can interoperate with clinical systems, Consolidated CDA (C-CDA) XML files should be offered, ideally in a Continuity of Care Document template (CCD). At present there is no formal HL7 implementation guide; however, several interim options and mappings are presented below, along with sample disclaimer text for consumers to understand the limitations of claims data relative to point-of-care clinical data. C-CDA files should be validated against NIST tools as well as semantic validators (e.g. C-CDA Scorecard.“Lightweight” XML or JSON and HL7 Fast Healthcare Interoperability Resources (FHIR): for plans seeking interoperability with mobile applications and RESTful APIs, FHIR-style XML and/or JSON documents may be offered. The FHIR specification, and its patient, coverage, provider, and claims resources offer a promising way to approach this. This is a standard currently under development and not due to emerge until 2013-2014, because of the limitations of CDA in representing personal health financial data, it provides a method to express Explanation of Benefit (EOB) type of data in a structured and open fashion. (See also a simplified XML and JSON representation, below.)No currently-existing standard is ideal for all of the available data, nor all the use cases, particularly to represent personal health financial data (EOB content). A new standard common format is most likely needed in order for payers to represent EOB-like data for consumer applications (as opposed to payer-provider transactions). Future implementation guidance should be updated with a (EOB-like) claims-derived consumer data standard as soon as possible.Blue Button+ Simplified XML and JSON: As a starting point for future standards-development processes, or for organizations who wish to innovate ahead of the standards development process, an example open Blue Button+ simplified XML and JSON representation of Portal of Personalized Information data elements is provided for reference and potential interim application. For example, organizations seeking to develop mobile application ecosystems may wish to consider this format. See sample XML representation. See sample JSON representation.Additional proprietary or closed data exchange formats and platforms also exist for health plan data interoperability with consumer-facing applications, including consumer health financial data, but are not detailed here. These were explored and discussed by the sub-workgroup, and include Microsoft Healthvault, Dossia, and Intuit/Optum Open Medical Exchange Platform.Further detail on formats for Blue Button+ is available onhttp://wiki.siframework.org/ABBI+Payor+Content+Interim+Guidance.

Analytic approximation methods in general relativity have played a crucial role in the recent discoveries of gravitational waves. They are used to build theoretical template banks for searching and analyzing the signals in the ground-based detectors LIGO and Virgo, and, further ahead, space-based LISA-like detectors. In particular, the post-Newtonian approximation describes with high accuracy the early inspiral of compact binary systems, made of black holes or neutron stars. It mainly consists of extending the Einstein quadrupole formula by a series of relativistic corrections up to high order. The compact objects are modeled by point masses with spins. The practical calculations face difficult problems of divergences, which have been solved thanks to dimensional regularization. In the last rotations before the merger, the finite size effects and the internal structure of neutron stars (notably the internal equation of state) affect the evolution of the orbit and the emission of gravitational waves.Paramount breakthroughs in Astronomy and fundamental Physics occurred with the discovery of gravitational waves (GWs) generated by the orbital motion and merger of compact binary systems, made of black holes or neutron stars . A new window of observations of our Universe opened up, radically different from and complementary to that of the traditional astronomy, essentially based on electromagnetic (EM) waves. The salient properties of GWs shape the key features of the new “Gravitational Astronomy'.GWs are produced by the overall, “bulk” motion of large masses at relativistic speeds (close to the speed of light c), in contrast to EM waves, which are in general composed of the incoherent superposition of photons emitted by the atoms and molecules composing the source . As a result, the wavelength of GWs is in general much larger than the size of the source, and there is a deep analogy between GWs and ordinary sound waves. However, in contrast to sound waves, GWs propagate in vacuum. They are ripples in the Riemannian curvature of space-time, which is the fundamental dynamical entity in general relativity (GR).•GWs propagate almost without alteration through the densest regions of the Universe, and have thus the potential of carrying information from very far away—probably up to the first instants after the Big Bang. This is due to the weakness of the gravitational interaction as compared to other forces, and to the fact that GWs cannot be screened by any type of matter field. Indeed the charge associated with the gravitational interaction is the mass, which is always equal to the inertial mass by the equivalence principle, and therefore is always positive. Actually, the positivity of the mass-energy of an arbitrary system (involving ordinary bodies and black holes) constitutes an important and difficult theorem in GR .The first binary black hole event of September 14, 2015 (GW150914) seen by the two LIGO detectors . The signal can be directly confronted with the GR prediction. Shown is the best adjustment with the result from the modeled analyses using IMR–Phenom and EOB–NR template waveforms . These analyses are in agreement with the full numerical calculation of the merger of two black holes. The last cycles before the merger are also reasonably well interpreted by the quadrupole formula. The masses and spins of the black holes are inferred from the comparison with GR. The signal can also be matched by a superposition of wavelets, but these are devoid of any physical content.•This highlights the crucial role played by analytic approximation methods and also numerical calculations, since they permit an accurate description of the two-body problem in GR, without which the full information contained into the signal could not be extracted. The theoretical solution to the problem of motion and radiation is used in the form of accurate GW templates, which are correlated with the observed signal using the technique of matched filteringSuccesses with the Einstein quadrupole formulaThe “precision” gravitational astronomy requires inputs from the theory side. Searching and analyzing GW signals that are well predicted by GR is made using the technique of matched filtering, which cross-correlates the detector output with our best prediction of the expected signal, called the template. The template is weighted (in the Fourier domain) by the power spectral density of the noise in the detector. It depends on a set of trial parameters describing the source's model (such as masses and spins) and that are measured in the process. As GR is a complicated non-linear theory, there is no hope of finding an exact solution to the Einstein field equations, but tremendous progresses have been made with the development of perturbative and approximation methods in GR, notably the post-Newtonian (PN) approximation. Conjointly with analytic developments, continued efforts in numerical relativity led to the computation of the final merger of binary black holes and other GW sources like supernova explosions.The first analytic computation of GWs is the Einstein quadrupole formula valid at the dominant “Newtonian” order in a PN expansion, with the small PN parameter being the slowness estimate , ratio of a typical internal velocity in the source and the speed of light. Originally derived for matter sources with negligible self gravity (hence the source's oscillations producing GWs have a non-gravitational origin), the formula was later shown to be still valid for weakly self-gravitating sources, such as a Newtonian binary systemThe GW amplitude is characterized by two tensorial polarization modes

My approach is a different one. Let's look at the question again.You want to find a job in IT. Quickly, i.e. sooner rather than later. ASAP. By EOB at the latest. (Shameful as these expressions are, you need to know them if you want to work in IT.)To achieve this goal, you are willing to learn an IT skill. But it must be an in-demand skill. And it should be possible to learn it quickly. Very clever. Maximizing ROI to achieve optimum business value is good. (Again, I'm plugging the lingo.)Other requirements are (possibly intentionally) not stated.No long-term perspective for the skills in question. A programming language hip today can be gone tomorrow. (Though I know a few select people still making good money with COBOL.)No desire to keep the job in question. Maybe your goal is to get an internship quickly to fill a void on your CV, and having done that, expand from there.No other skills. So we're really focusing on one basic IT skill. The one you can't do without. (Social skills are yet another matter entirely.)No mention of personal growth nor of job satisfaction. This alone is an enormous topic in itself. (But rest assured, Quora can help.)So here's my tip: learn Microsoft Office.Why? Because you can use it – and most likely will have to use it – almost everywhere. It is a necessary (but not sufficient) condition for almost any job.Notice I've used the Office 2013 logo above, but the reality of the situation is that, given your circumstances, you're most likely to find a job in a large corporation. And there, you will be facing Office 2003. On Windows XP. That legendary upgrading project towards (are you sitting down?) Office 2007 on Windows 7 has been going on for years and is not likely to come to fruition anywhere near your lifetime.Fact is, even in this day and age, you can impress older colleagues by learning just a few more features than the standard user knows. Proof? Do people know how to use Microsoft Office? (To spare you the suspense: no, they don't.)To put you on your way, here are a few tips. @ other readers: feel free to add more, but let's rather do it in separate questions. (I'll list a few below.)Microsoft WordUse Formats: bold, italic, underline, font sizes, colors. Without formats, you might as well use Notepad. Don't overdo it, though. Instead, learn about Styles – which are really just a form of format macros. (I just made that up.)For the more daring: become familiar with Mail Merge for serial letters. This will also bring you knowledge of Field Codes. And those are necessary to really understand Tables of Contents.Further reading: What are some rarely used features of Microsoft Word?Microsoft ExcelFirst and foremost: use Formulas. As for Word, without formulas, you might as well use Notepad. Secondly, use Charts. Your data alone will not speak for itself. A chart will.And then, you can move on to fancier things like AutoFilter, Conditional Formatting and PivotTables. Understanding PivotTables will actually force you to understand data structures, a must for any advanced IT job.Further reading: What are the best time-saving tips for Excel? What are some of the lesser known but useful Excel functions/tricks? What are some cool Microsoft Excel tricks?Microsoft PowerPointYou will need to understand the concept of Slide Layouts (the possible arrangement of text/image/table boxes on your slide) and the Slide Master (the template on which slide layouts are based). For graphical objects, learn to Align them; it just looks better. Also, learn about Groups to make manipulating multiple objects easier.The main hurdle in PowerPoint, however, is actually not how to use it, but how to make a compelling presentation. A presentation is much more than just the slide deck. Think about the goal you want to achieve and craft your presentation accordingly.Further reading: What are some less known/used features of Microsoft PowerPoint? How can I polish my PowerPoint to make my presentation more compelling?Microsoft OutlookYou didn't expect this one, did you? But if your company uses Word et al., it will probably also use Outlook. (If you're lucky, that is. Otherwise, you'll be stuck in hell with Lotus Notes.) By the way, learn the difference between Exchange (server) and Outlook (client).The most important things to know in Outlook (or any e-mail client) are the differences between To and CC on the sending side – and between Reply and Reply to All on the receiving side. Also, use the Subject line of a message as a TL;DR.Specifically for Outlook, Flagging and Categorizing messages will help you in managing your workload and actually getting things done between one e-mail and the next. Also, learn about the Corporate Address Book vs. Personal Address Book as well as Shared Calendars.Further reading: What are the most useful productivity rich hacks for Outlook?Microsoft Office overallSome tips hold true for several or all products in the Office suite, e.g. you will be able to work much more efficiently if you learn some of the many Keyboard Shortcuts. Copying and pasting a piece of your work can be highly improved with Paste Special. Also learn to use AutoFormat and AutoCorrect, and the difference between both. Finally, use Spell Checking extensively; it's there to help you, so you have no excuse for obvious typos.Enable Automatic Backups every few minutes. And where possible, also enable Backup Copies when Saving. It's a global setting in Word, a per-file setting in Excel and not available in PowerPoint. Generally speaking, apart from the many similarities within the Office suite, be aware that there are many differences, e.g. regarding Hyphenation.Further reading: What are the must-learn Microsoft Office (Word, Excel, PowerPoint, Access, Visio) techniques?That's it for today. I look forward to your comments. And if you want to know more, ask Quora questions and A2A me, I'll gladly help. Until then, I wish you all the best for your job search.TL;DR: If you have no IT skills, but want to learn one to get a job, learn how to use Microsoft Office, this will yield the highest return-on-investment.