To:
`
`Subject:
`
`Sent:
`
`Sent As:
`
`Attachments:
`
`Emerge Clinical Solutions, LLC (wquirk@rpsalaw.com)
`
`U.S. TRADEMARK APPLICATION NO. 87396555 - CHARTRETRIEVAL - 81528.00036 - Request for
`Reconsideration Denied - Return to TTAB
`
`9/5/2018 10:15:26 AM
`
`ECOM112@USPTO.GOV
`
`Attachment - 1
`Attachment - 2
`Attachment - 3
`Attachment - 4
`Attachment - 5
`Attachment - 6
`Attachment - 7
`Attachment - 8
`Attachment - 9
`Attachment - 10
`Attachment - 11
`Attachment - 12
`Attachment - 13
`Attachment - 14
`Attachment - 15
`Attachment - 16
`Attachment - 17
`Attachment - 18
`Attachment - 19
`Attachment - 20
`Attachment - 21
`Attachment - 22
`Attachment - 23
`Attachment - 24
`Attachment - 25
`Attachment - 26
`Attachment - 27
`Attachment - 28
`Attachment - 29
`Attachment - 30
`Attachment - 31
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`Attachment - 33
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`Attachment - 36
`Attachment - 37
`Attachment - 38
`Attachment - 39
`Attachment - 40
`Attachment - 41
`Attachment - 42
`Attachment - 43
`
`

`

`Attachment - 44
`Attachment - 45
`Attachment - 46
`Attachment - 47
`Attachment - 48
`
`UNITED STATES PATENT AND TRADEMARK OFFICE (USPTO)
`OFFICE ACTION (OFFICIAL LETTER) ABOUT APPLICANT’S TRADEMARK APPLICATION
`
`*87396555*
`
`GENERAL TRADEMARK
`INFORMATION:
`http://www.uspto.gov/trademarks/index.jsp
`
`VIEW YOUR APPLICATION FILE
`
`U.S. APPLICATION
`SERIAL NO. 87396555
`
`           
`
`MARK:
`CHARTRETRIEVAL
`
`CORRESPONDENT
`ADDRESS:
`      
`DANIEL A ROGERS
`  
`     ROSENTHAL
`PAUERSTEIN
`SANDOLOSKI
`AGATHER
`      
`755 E MULBERRY
`STE 200
`      
`SAN ANTONIO, TX
`78212
`      
`APPLICANT: Emerge
`Clinical Solutions, LLC
`
`    
`
`CORRESPONDENT’S
`REFERENCE/DOCKET
`
`   
`
`NO:       
`
`  81528.00036     
`CORRESPONDENT
`
`E-MAIL ADDRESS:       
`
`wquirk@rpsalaw.com
`
`ISSUE/MAILING DATE: 9/5/2018
`
`REQUEST FOR RECONSIDERATION DENIED
`
`The trademark examining attorney has carefully reviewed applicant’s request for reconsideration and is denying the request for the reasons
`stated below.  See 37 C.F.R. §2.63(b)(3); TMEP §§715.03(a)(ii)(B), 715.04(a).  The following requirement(s) and/or refusal(s) made final in the
`Office action dated January 29, 2018 are maintained and continue to be final:  the Section 2(e)(1) refusal based on mere descriptiveness and the
`
`requirement for information.  See TMEP §§715.03(a)(ii)(B), 715.04(a).  
`
`In the present case, applicant’s request has not resolved all the outstanding issue(s), nor does it raise a new issue or provide any new or
`compelling evidence with regard to the outstanding issue(s) in the final Office action.  In addition, applicant’s analysis and arguments are not
`persuasive nor do they shed new light on the issues.  Accordingly, the request is denied.
`
`With respect to the Section 2(e)(1) refusal, the applicant’s arguments have been considered and have been found unpersuasive.   The applicant
`has applied for the mark CHARTRETRIEVAL for “Providing temporary use of on-line non-downloadable computer software for use in the
`field of medical care, for facilitating medical, clinical and diagnostic practices; providing temporary use of on-line non-downloadable computer
`software for managing and evaluating clinical information and for facilitating and enhancing clinical decision-making processes and patient care
`in general.”   A function of the applicant’s software is chart retrieval or the retrieval of medical and health chart related to patient care.   Terms
`that describe the function or purpose of a product or service may be merely descriptive.  TMEP §1209.03(p); see, e.g., In re Hunter Fan Co., 78
`USPQ2d 1474, 1477 (TTAB 2006) (holding ERGONOMIC merely descriptive of ceiling fans); In re Wallyball, Inc., 222 USPQ 87, 89 (TTAB
`1984) (holding WALLYBALL merely descriptive of sports clothing and game equipment); In re Orleans Wines, Ltd., 196 USPQ 516, 517
`(TTAB 1977) (holding BREADSPRED merely descriptive of jams and jellies).  Applicant’s software features the ability to retrieve medical
`charts as well as other medical and health related information.  As demonstrated by the attached evidence, consumers are accustomed to chart
`
` 
` 
` 
`  
` 
` 
`  
` 
`

`

`retrieval software functionality in medical software.  Websites from Sansora Health, Apixio, Care Connect, Moxe, Change Healthcare, Ciox and
`others all refer to automating the retrieval of health information including patient charts.  See attached excerpts from the examining attorney’s
`search on the Internet.  The term CHART RETRIEVAL is commonly used in the medical and health care industries.  The examining attorney
`has provided ample evidence of the descriptive nature of the terms CHART and RETRIEVAL individually and taken as a whole.  Contrary to
`the applicant’s arguments, there is no ambiguity when the mark CHARTRETRIEVAL is encountered by consumers in relation to medical
`software.  Based on the previously and presently attached evidence, consumers will immediately recognize that the applicant’s mark refers to
`software that automates chart retrieval, specifically the retrieval of patient’s electronic stored medical charts.
`
`The few registrations submitted by the applicant are not persuasive, particularly where not one of the registrations presented by the applicant
`actually bear the term RETRIEVAL.  The fact that third-party registrations exist for marks allegedly similar to applicant’s mark is not
`conclusive on the issue of descriptiveness.  See In re Scholastic Testing Serv., Inc., 196 USPQ 517, 519 (TTAB 1977); TMEP §1209.03(a).  An
`applied-for mark that is merely descriptive does not become registrable simply because other seemingly similar marks appear on the register.  In
`re Scholastic Testing Serv., Inc., 196 USPQ at 519; TMEP §1209.03(a).
`
`It is well settled that each case must be decided on its own facts and the Trademark Trial and Appeal Board is not bound by prior decisions
`involving different records.  See In re Nett Designs, Inc., 236 F. 3d 1339, 1342, 57 USPQ2d 1564, 1566 (Fed. Cir. 2001); In re Datapipe, Inc.,
`111 USPQ2d 1330, 1336 (TTAB 2014); TMEP §1209.03(a).  The question of whether a mark is merely descriptive is determined based on the
`evidence of record at the time each registration is sought.  In re theDot Commc’ns Network LLC, 101 USPQ2d 1062, 1064 (TTAB 2011); TMEP
`§1209.03(a); see In re Nett Designs, Inc., 236 F.3d at 1342, 57 USPQ2d at 1566.
`
`However, third-party registrations featuring goods and/or services the same as or similar to applicant’s goods and/or services are probative
`evidence on the issue of descriptiveness where the relevant word or term is disclaimed, registered under Trademark Act Section 2(f) based on
`acquired distinctiveness, or registered on the Supplemental Register.  E.g., In re Morinaga Nyugyo Kabushiki Kaisha, 120 USPQ2d 1738, 1745
`(TTAB 2016) (quoting Inst. Nat’l des Appellations D’Origine v. Vintners Int’l Co., 958 F.2d 1574, 1581-82, 22 USPQ2d 1190, 1196 (Fed. Cir.
`1992)); In re Box Solutions Corp., 79 USPQ2d 1953, 1955 (TTAB 2006).  See previously attached registrations that include disclaimers of the
`term CHART and RETRIEVAL for similar or highly related goods and services.
`
`Two major reasons for not protecting descriptive marks are (1) to prevent the owner of a descriptive mark from inhibiting competition in the
`marketplace and (2) to avoid the possibility of costly infringement suits brought by the trademark or service mark owner.  In re Abcor Dev.
`Corp., 588 F.2d 811, 813, 200 USPQ 215, 217 (C.C.P.A. 1978); TMEP §1209.  Businesses and competitors should be free to use descriptive
`language when describing their own goods and/or services to the public in advertising and marketing materials.  See In re Styleclick.com Inc., 58
`USPQ2d 1523, 1527 (TTAB 2001).  Applicant’s argument that “applicant’s competitors are free to use ‘chart’ and ‘retrieval’
`to describe
`their goods” acknowledges the descriptive nature of the wording.  Applicant’s argument that the combination of the terms creates a non-
`descriptive mark is unpersuasive in light of all of the evidence to the contrary.  Generally, if the individual components of a mark retain their
`descriptive meaning in relation to the goods and/or services, the combination results in a composite mark that is itself descriptive and not
`registrable.  In re Fat Boys Water Sports LLC, 118 USPQ2d 1511, 1516 (TTAB 2016) (citing In re Tower Tech, Inc., 64 USPQ2d 1314, 1317-18
`(TTAB (2002)); TMEP §1209.03(d); see, e.g., Apollo Med. Extrusion Techs., Inc. v. Med. Extrusion Techs., Inc., 123 USPQ2d 1844, 1851
`(TTAB 2017) (holding MEDICAL EXTRUSION TECHNOLOGIES merely descriptive of medical extrusion goods produced by employing
`medical extrusion technologies); In re Cannon Safe, Inc., 116 USPQ2d 1348, 1351 (TTAB 2015) (holding SMART SERIES merely descriptive
`of metal gun safes); In re King Koil Licensing Co., 79 USPQ2d 1048, 1052 (TTAB 2006) (holding THE BREATHABLE MATTRESS merely
`
`descriptive of beds, mattresses, box springs, and pillows).  
`
`Only where the combination of descriptive terms creates a unitary mark with a unique, incongruous, or otherwise nondescriptive meaning in
`relation to the goods and/or services is the combined mark registrable.  See In re Colonial Stores, Inc., 394 F.2d 549, 551, 157 USPQ 382, 384
`(C.C.P.A. 1968); In re Positec Grp. Ltd., 108 USPQ2d 1161, 1162-63 (TTAB 2013).
`
`In this case, both the individual components and the composite result are descriptive of applicant’s goods and/or services and do not create a
`unique,
`incongruous, or nondescriptive meaning in relation to the goods and/or services.  Specifically, CHARTRETRIEVAL refers to a
`computer software function that retrieves medical charts electronically.  See In re Tower Tech, Inc., 64 USPQ2d 1314, 1317-18 (TTAB 2002)
`(holding SMARTTOWER merely descriptive of “commercial and industrial cooling towers and accessories therefor, sold as a unit”); In re Sun
`Microsystems, Inc., 59 USPQ2d 1084, 1087 (TTAB 2001) (holding AGENTBEANS merely descriptive of “computer software for use in the
`development and deployment of application programs on a global computer network”); In re Putnam Publ’g Co., 39 USPQ2d 2021, 2022
`(TTAB 1996) (holding FOOD & BEVERAGE ON-LINE merely descriptive of “a news and information service updated daily for the food
`processing industry, contained in a database”); In re Copytele, Inc., 31 USPQ2d 1540, 1542 (TTAB 1994) (holding SCREEN FAX PHONE
`merely descriptive of “facsimile terminals employing electrophoretic displays”).
`
`As for the requirement for information, the applicant has provided third party advertising and briefly explained how the applicant’s own
`services are related and/or differ.  However, the applicant has failed to directly answer or respond to the specific inquiries presented in the
`
`requirement for information under section (3).  
`
`If applicant has already filed a timely notice of appeal with the Trademark Trial and Appeal Board, the Board will be notified to resume the
`
` 
` 
` 
` 
` 
` 
`

`

`appeal.  See TMEP §715.04(a).
`
`If no appeal has been filed and time remains in the six-month response period to the final Office action, applicant has the remainder of the
`response period to (1) comply with and/or overcome any outstanding final requirement(s) and/or refusal(s), and/or (2) file a notice of appeal to
`the Board.  TMEP §715.03(a)(ii)(B); see 37 C.F.R. §2.63(b)(1)-(3).  The filing of a request for reconsideration does not stay or extend the time
`
`for filing an appeal.  37 C.F.R. §2.63(b)(3); see TMEP §§715.03, 715.03(a)(ii)(B), (c).   
`
`Meier, Sharon
`/Sharon A. Meier/
`Trademark Attorney, LO 112
`571-272-9195 - phone
`571-273-9112 - fax
`sharon.meier1@uspto.gov
`
` 
`   
`

`

`
`httpsflmwsansorohealth.Comfemissarv—Chart—retrieval!
`09f04f2018 02.18.04 PM
`
`Integrations for 3
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`Emissary Chart Retrieval powers swifl integration with an EHR to flexibly pull
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`intensive administrative functions such as release of information. quality
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`- Retrieve comprehensive patient data in real-time
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`Millions of times every day. clinical and administrative teams spend countless hours pulling voluminous patient records.
`Why? Because today's process is outdated and manual. requin'ng data entry into multiple systems. printing. copying.
`
`Medical records requests
`
`

`

`httpsflmrvivsansorohealth.Cornfernissary—Chart—retrieval!
`
`09f04l'2018 02.18.04 PM
`
`faxing and scanning. This results in incomplete records and reporting at a cost of millions of dollars every day. Copy.
`Print. Fax. Scan. Repeat. Using outdated technology and processes in a modern world will not advance heallhcare.
`Ever.
`
`We deliver a better way. By leveraging Emissary Chart Retrieval —you streamline patient chart requests by pulling
`structured and unstructured data directly from the EHR. Electronically. Seamlessly. Securely. Get {only} the data you
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`Forgo the fax (and punt the printer)
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`inefficient. time consuming. error prone and expensive. Sansoro Health gives you a better way. Pairing your application
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`
`Application programing interfaces (APts) make it possible for big services like Google Maps or Amazon Echo to let other
`programs access limited information. easily and securely. Sansoro Health does the same for healthcare. By turning
`EHR systems into open platfon'ns. Emissary enables secure sharing of information with your application — so you move
`to the from Dflhe IT queue and deliver value swlluy.
`
`Emissary Solutions
`The Emissary soflware platform provides solutions across the administrative. clinical and analytics spectrum for health
`IT innovators. Emissary securely delivers robust data exchange with. reliable. agile and economical performance.
`These qualities animate our philosophy and are embedded in our products.
`
`Features of other Emissa
`
`elatform solutions include:
`
`

`

`httpsflmwsansorohealth.Comfemissarv—Chart—retrieval!
`
`09f04l'2018 02.18.04 PM
`
`Standard patient
`chart retrieval
`
`Exposes unique EHR
`configurations
`
`Write back to the EHR
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`Pull data across multiple
`patient records
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`Emissary advantage
`
`Eliminate traditional custom
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`reduce EHR vendor
`interface fees.
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`Complete integration in
`days — dramatically
`reducing the burden on
`health system's busy |T
`staff.
`
`

`

`
`httpsflmwsansorohealth.Comfemissarv—Chart—retrieval!
`09f04f2018 02.18.04 PM
`
`I
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`Remove the need to
`replicate EHR data in
`separate databases.
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`httpsflmmvapixi0.cornr'blOur‘how—we—use—technolouv—to—uet—risk—adiustment—data—out—of—ehrsr‘
`09f04t20’l8 02:20:05 PM
`
`é FIPIXIO"
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`Search
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`About Us 9 Technology Solutions v Resources Careers Contact Us
`
`BLOG | 3.3.10
`
`Resources
`
`How We Use Technology to Get Risk
`
`Search
`
`Adjustment Data Out of EHRs
`
`This is the second in a 4-part series catied intro to Risk Adjustment Technology.
`
`As we discussed in the first post in this series. traditional risk adjustment is incredibly
`
`manual. Coders will comb through thousands of pages of patient charts and look for
`
`documented chronic conditions. This process is time consuming and costly, not to
`
`mention that it doesn’t make good use of a coder’s expertise. A technology can remedy
`
`these challenges and provide a solution that can make risk adjustment more productive,
`
`accurate. efficient, transparent, and predictive.
`
`Cognitive computing is the technology solution that risk adjustment needs
`
`CATEGORiES
`
`Blog
`
`White Papers
`
`Case Studies
`
`Webinars
`
`Brochures
`
`Events
`
`Engineering
`
`Cognitive computing is a combination of technologies that enable a computer to team
`
`from its experiences and improve its performance over time. It was popularized by IBM‘s
`
`Watson supercomputer, which famously used cognitive computing to win Jeopardy.
`
`Cognitive computing can serve an important need for risk adjustment: a cognitive
`
`computing platform can extract data from patient charts, read and analyze the data for
`
`TOPICS
`
`ALL
`
`POLICY
`
`CODING
`
`DATA
`
`TECH
`
`CEO
`
`potential HCC information, and then push potential HCCs in front of coders to accept or
`
`COMPLIANCE
`
`reject.
`
`

`

`
`httpe.i‘fwwinl'nr.apixi0.cornfblOEli'hOW—lnre—Ll5e—teChnoiOCN—tO—det—risl<—adiusitrnent—data—OLJt—of—ehrsi'r
`09i04i20’l8 02:20:05 PM
`
`Data acquisition and processing is the initial component of cognitive computing
`
`BIG DATA
`
`The first part of the technology plaflom’a, and the part we will discuss in this blog post, is
`
`DEEPLEARNm
`
`data acquisition and processing. That sounds complicated, but it is just a fancy way of
`
`saying how the computer gets data out of an EHR and other file formats.
`
`MACHINE LEARHG
`
`Al
`
`Text Extractlm and
`Coded Dam Import
`
`algorithm Based
`Text Analysis
`
`Analyze and Identity Nat
`New Well-documnlied
`Risk Adjusting Condition-rs
`
`Presents Evidence for
`Now Codes for
`Expert Approval
`
`
`
`As you may know, documentation that supports risk adjustment comes in different
`
`formats. The two main types are EHR files, which give you electronic data, and scanned
`
`documents, which give you data in image form.
`
`EHR text embedded in
`
`different temptates, styles and in
`different clinical settings...
`
`
`administrative toms
`
`And a collection of scanned
`clinical encounters and
`
`

`

`
`httpsflmrwvapixi0.ComfblOufhow—we—use—technolouv—tO—uet—risk—adiustment—data—out—Of—ehrsr‘
`09f04f20’l8 02:20:05 PM
`
`
`
`Why is getting data from these files so difficult? Well for one, it's important to do this in a
`
`secure and HIPAA—compliant way. So every person who touches the files has to go
`
`through HlPAA—training and the files have to be encrypted and decrypted several times
`
`throughout the process. Second, there are often different EHR systems across an
`
`organization, or difierent versions of the same EHR system, and they have to be
`
`reconciled. Lastly, scanned data isn‘t automatically readable by the computer. When the
`
`computer looks at a scanned document, instead of English text, all it sees is a series of
`
`images or symbols.
`
`Acquiring Patient Data from EHRs is a challenge
`
`Getting data out of EHR systems is a particular challenge because useful risk adjustment
`
`data is often in a different place in each system. We are looking for very specific data,
`
`face-to-face encounter data to be specific, and this is a tiny fraction of all the data an EHR
`
`has. It may be in one comer of the EHR platform in Allsciipts, and another comer of it in
`
`Epic. It may be hidden several layers down in NextGen, and sitting right on the surface in
`
`GE Centricity. The stakes are high, as accurate risk adjustment depends on complete and
`
`correct data in order to accurately catculate risks.
`
`The way we get data out of the EMR, is at once pretty complex and pretty simple.
`
`Basically, we write code that is instructions for the computer to give up the correct
`
`information. The instmctions might say, “go to place it,” "retrieve data that is stmctured
`
`like y" and “send it back to me.” Just like any other resource, computers can do what
`
`they‘re told—but you need to speak to them in their language — machine code. The coded
`
`queries are able to find and return the face—to—face encounters, out of all the encounter
`
`data that is in the EHR, bypassing telemedicine encounters, home health service
`
`encounters, and others.
`
`EHR-specific
`
`EHR database
`
`Useful data
`
`

`

`httpsflmrwvapixi0.ComfblOCir‘how—we—use—technolOOv—to—det—risk—adiustment—data—out—of—ehrsr‘
`09f04f20’l8 02:20:05 PM
`
`<Retrieve data that
`
`
`
`is structured likey>
`
`<Send it backtoz>
`
`—"
`
`u. a m
`--
`- a
`
`Of course, this process doesn't just happen once. Different code has to be written for
`
`each EHR, and forthe RAPS data. And even after the data is retrieved from the EHR. it
`
`sliil doesn't play well together. If you think of it abstraclty, the data is isolated but it still
`
`looks different. The next steps in making the data usable is transforming it into a standard
`
`format, and carving it up into smaller pieces, to separate by encounter and document
`
`type, for example.
`
`This process is completely non-intrusive. You can run your inquiries whenever you want,
`
`or even atter hours, to minimize dismption to patient care and normal operations.
`
`Extract correct data from
`difierent sources
`
`Transform data into standard
`format
`
`Split files and load
`Into storage space
`
`I I
`
`EHR1Data
`
`EHR2Data
`
`RAPSData
`
`/
`
`I
`
`O
`
`OI3OI.0
`pbib.
`
`> \
`
`5 b
`
`A one-time process
`
`The good thing is, aflerwe do ail this work once, we don’t have to do it again. Untike with
`manl Ial rial! nrlil IcI-mnrvt' \uhnm unll minhl‘ haul: fn mil-intro nhnrl'c frnm a nhmininn ”Hit-n
`
`

`

`https.i‘fwml'nr.apixi0.cornfblOCli‘hmar—lure—use—teChnolouv—to—oet—risk—ac]iustrnent—data—out—of—ehrsrr
`09f04f20’l8 02:20:05 PM
`
`manual risk adjustment, where you might have to retn'eve charts from a physician office
`
`every 6, 12, or 18 months, with technological risk adjustment you can use the existing
`
`data pipeline to repeatedly get data out ofthe provider EHR, without bothering them—as
`
`long as you have permission, of course.
`
`And just like that, data acquisition is transformed from a time-consuming nuisance into a
`
`quick, secure and HIPAA—compliant process.
`
`To team more see parts I, III, and IV of this series.
`
`Part I: Why Does Risk Adjustment Need Technology?
`
`Part III: How We Use Machine Learning to Analyze Patient Data in Medical Records
`
`Part IV: What Risk Adjustment Technology Means for Coders
`
`PostViews: 12
`
`AUTHOR
`
`Eric Tan,CPC,CCS
`
`SHARE
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`f 3"
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`i" 4
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`BLOG I 9.4.13
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`BLOG I
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`.3128
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`BLOG I 3.9.18
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`RES-1.1115 ”H.110
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`mic-m" REC-3905 MAME DIAGNOSIS
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`All Reacting
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`httpsflmrvwapixi0.cornfblOthow—we—use—technoloqy—to—qet—risk—adiustment—data—out—Of—ehrsr‘
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`Five Ways You’re Already
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`What’s Wrong With
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`Building industrial-Grade
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`Using Machine Learning: A
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`Physician Coding?
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`NLP Algorithms That
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`Day with AI
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`Today physicians are
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`Impact Patients at Scale
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`“Machine learning” can seem
`
`increasingly dissatisfied with the
`
`Natural ianguage processing
`
`like a scary term, bringing to
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`practice of medicine, especially
`
`(NLP) is becoming a powerful
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`mind images...
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`httpsflmwrvmulticare.wotcare—connecb’questionsr‘
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`09f04f2018 02.25.39 PM
`
`EHHEEUNNEEI
`
`Information DI'WEII I I'ISIQ ht"
`
`ABOUT US
`
`FAQS
`
`Sign-in
`
`FAQs
`
`Frequently Asked Questions
`Who operates CareConnect?
`CareConnect is a service operated by MultiCare Health System. The system has been used by
`MuttiCare’s affiliated physicians since the mid—1980's. Now thoroughly proven in practice and
`widely accepted, it was recognized that there was an opportunity to extend it to the broader
`physician community. It is being offered under the banner CareConnect, with these goals:
`
`
`
`c To serve physicians throughout the region, regardless of attitiation
`
`a To bring new efficiencies to medical practice
`0 To improve patient care
`
`"
`
`8+
`
`Are there any plans to include other tabs, imaging centers or hospitals in the
`system?
`Yes, and some of those talks are already underway.
`
`What are the advantages of using CareConnect?
`CareConnect has advantages over paper charts, and over other etectronic health record
`systems you might be considering.
`
`a Freedom Item the overhead of harming paper charts. Storing, retrieving and maintaining
`paper charts is a timely and costly problem for every pracfice. That includes not only the
`staff time required to deal with them, but also the costs of space to store them. Paper
`charts are especially troublesome for practices that have multiple locations, or a long
`history and large number of patients such that charts must be stored in a separate storage
`
`

`

`
`httpsflomwmulticare.orofcare—Connectfquestionsr‘
`09f04t2018 02.25.39 PM
`
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`area.
`
`a Fastermt‘omratiorr access forbetterpafient care. Missing, misplaced or ditlicult—teretrieve
`paper charts cause unnecessary delays, or recommendations based on incomplete
`information can compromise patient care. With an electronic heatth record system, all of a
`patients demographic intonnalion, currerrl medical status and health history is instantly
`available online.
`
`0
`
`improved etticiency fortndivr'duat practices. CareConnect includes patient registration and
`scheduling, as well as billing functions that can speed the revenue cycle for your practice.
`As you enter orders, visit with the patient and close the chart, it steps you through the
`coding process, drops the charge and forward the billing inforrnalion to your business
`ottice.
`
`I Eficiencies ofa region—mus- system. Patient data is instantty available to other providers.
`This speeds patient care, ensures complete infonnation and spares your staff from having
`to pull charts or make copies.
`
`- Hundreds of thousands ofpatr'ent records already ontrirre. Data on many patients, including
`demographics and results from MultiCare facilities, is already in the system. This can save
`much of the data entry involved in getting an EHR system up and nmnirig.
`
`a Nationaltyrecognized, bratty amused. While CareConnect is locally hosted and focused
`on serving the local physician community, it uses a nationally recognized system — Epic. In
`our opinion and that of rrlalry others, Epic is the premier electronic health record system
`available today.
`
`a Participate in web—based user group sessions with other location physicians.
`
`Can patients access their own medical records?
`Yes, ifyou wish. Many MultiCare Clinic physicians are cunentty allowing their patients access to
`their lab results and medical history through the MyChart online patient portal. Patients can also
`request appointments through this patient portal.
`
`If you wish to give patients online access to their records, we can arrange for a patient portal
`linked through your own web site.
`
`How do I migrate my data into the system?
`We advocate a "going—forward' approach, rattler than scanning in old records or hand—entering
`data that may never be used. Typically we suggest retaining the old paper records, and
`abstracting the data for active patients, typically patierrls scheduled for appointments. The most
`essential data is the demographic information, allergies, current medical issues and current
`
`

`

`httpsflmmwrnulticare.orqfcare—Connectfquestione"
`
`09f04f2018 02.25.39 PM
`
`ml n-uu uunu I.) u m uul nu”: upun. u nu: u nun-u", ullul 9m. Lul I u: n mun-mu- mm mm hullul n
`
`medication list. Oftentimes, some of the patient data is already resident in the system, if a
`patient has had an encounter with a MulliCare facility.
`
`What happens if I want to leave the system?
`We can provide hard copies of the patient records, or devise a means to most efficiently output
`the data for import into another system.
`
`What business-office functions are included?
`
`it encompasses
`CareConnect integrates Epic Systems' complete practice management system.
`patient accounts and NR management including patient statement production, electronic cla'ms
`submrnion, electionic remits and insurariceeligibilily checking. The system drops the charges
`for each patient encounter into a work queue for processing by your business otlice, resulting in
`more conectiy—coded claims, reduced NR days and a drop in denial rates.
`
`What do I need to access the service?
`
`CareConnect requires a Windows computer with an uptonate browser, Internet access, and
`Citnx client sottware (available as a free download) for each exam room or workstation. A high
`speed data line connection is required, You will litely also require new printers andlor scanners.
`
`Memory and processor requirements may vary based on other sottware used in conjunction with
`CareConnect, and we will provide our recommended specifications at the time we begin working
`with you.
`
`We recommend putting standard security precautions in place including anti—spyware sottware,
`virus detection and a firewall. Ourmchnical staff will advise you on security measures.
`
`Contact
`:areConnect EHR
`:1.
`
`Resou rces
`
`

`

`
`httpsflmmwmtbc.ComfproductS—ServiceSIelectroniC—health—recordS—ehr
`09f04f2018 03.34.35 PM
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`httpsflmmwmtbc.ComfproductS—ServiGear‘electroniC—health—recordS—ehr
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`09f04f2018 03.34.35 PM
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`Not Satisfied With Your Current
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`CLIENT STORIES
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` G3
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`Iamacustomerfor
`life! As long as
`talkFJ-TR is around, I
`am going to he with
`talkEI-IR.
`— Karla. Ballew
`
`“"ATCH STORY
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`Iwouldreoonmaend
`talkEHRto any
`[mvider looking for
`a feature-rich,
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`— Cynthia. Go
`
`“"ATCH STORY
`
`

`

`httpsflmmwmtbc.ComfproductS—ServioeafelectroniC—health—recordS—ehr
`
`09f04f2018 03.34.35 PM
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`CID...
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