Copyright 2015 Splunk Inc. Predict, Alert, Manage, and OpDmize an Ecosystem with Splunk Tom Twait & Chris Hogan Cerner EDI Manager, Sr. EDI SoluDon Architect
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Speakers Tom Twait Chris Hogan Manager, EDI Services 13 Years @ Cerner University of Iowa Sr SoluDon Architect, EDI Services 4 Years @ Cerner University of Missouri Rockhurst University (MBA)
Who is Cerner? One of the largest healthcare sotware IT companies in the world > $3B+ Annual Revenue Publicly traded (NASDAQ) with 20+ years of 20% compounded annual growth 22,000+ Associates in more than 30 countries Industry Leader and Innovator in Clinical, Revenue Cycle and PopulaDon Health SoluDons
Transac1on Services (EDI) What Do Tom and Chris Do? Address ValidaDon Address VerificaDon Claims Scrubbing Contract Management Credit Card Processing Medical Necessity Checks Real- Dme Eligibility Checks Etc Cerner Transac*on Services Processes >300M Transac*ons Annually
Complex ConnecDons
Problem Statement System Users Reduce DownDme Developer Access to Logs More Reliable/Predictable System OTen ReacDve, Not ProacDve Data Blind to Real- Time Issues Access to Data Less ad- hoc requests to analysts Limited OperaDonal ReporDng Slowing Moving Process Improvement IniDaDves Minimal Visibility for OperaDons Team when System Issues Arose Cumbersome process to analyze data
AnalyDcs Ecosystem at Cerner TransacDonal ReporDng Source System ApplicaDon Monitoring
AnalyDcs Ecosystem
TransacDonal ReporDng
TransacDonal ReporDng
TransacDonal ReporDng
AnalyDcs Ecosystem
Websphere ApplicaDon Server
Websphere ApplicaDon Server
Websphere ApplicaDon Server
AnalyDcs Ecosystem
Millennium
Millennium
AnalyDcs Ecosystem at Cerner TransacDonal ReporDng Source System ApplicaDon Monitoring
AnalyDcs In AcDon Examples Using the Ecosystem InformaDon OperaDons Monitor partner connecdvity and alert OperaDons staff in the event monitoring thresholds are breached ConsulDng Pinpoint key issues and trends to opdmize and improve system performance IP/Engineering Validate WebSphere health and idendfy potendal issues ExecuDve Team Produce on- Dme reports for analysis without engaging Architects and Business analysts
AnalyDcs In AcDon Examples Using the Ecosystem InformaDon " Alert, Report and Monitor System Issues!!! Find acdonable insights to resolve those issues in a proacdve fashion! " Monitor, Evaluate and InvesDgate Individual Services and SoluDons Monitor health of Claim Scrubbing Systems Monitor Real Time Eligibility Processing Monitor Credit Card Processing Plus, Measure and Monitor any Service or SoluDon running via EDI TransacDon Services
index=tx_detail* sourcetype=clmscrub fillnull stats dc(group_id) as count by SUBMITTER_ID CLAIM_ERROR_IND eval errclaims = if(claim_error_ind==1, count, null) eval cleanclaims = if(claim_error_ind==0, count, null) stats sum(cleanclaims) as cleanclaims sum(errclaims) as errclaims sum(count) as allclaims by SUBMITTER_ID fillnull eval "cleanrate% =round(cleanclaims/(cleanclaims+errclaims) * 100, 2) table SUBMITTER_ID allclaims cleanclaims errclaims "cleanrate%" sort -"cleanrate%" where isnotnull(submitter_id) table SUBMITTER_ID allclaims cleanclaims errclaims "cleanrate%" addcoltotals allclaims cleanclaims errclaims labelfield=submitter_id label="--totals--" eval cleanclaims = tostring(cleanclaims, "commas") eval errclaims = tostring(errclaims, "commas") eval allclaims = tostring(allclaims, "commas") Claims Scrubbing
Real- Time Eligibility Processing
Real- Time Eligibility Processing searchtemplate: index=tx_detail* sourcetype=elig stats dc(partner_reqest_id) as PARTNER_REQUESTS dc(partner_response) as PARTNER_RESPONSES by PARTNER eval PartnerResponsePercent = round(partner_responses / PARTNER_REQUESTS * 100, 2) searchpostprocess where PARTNER = Partner N table PartnerResponsePercent
Real- Time Eligibility AlerDng
Credit Card Processing
Websphere System Users We ve shown CTS dashboards, what does websphere look like and how do we use it to obtain a posidve outcome? Easy Access to Data Fewer ad- hoc Requests for Analysts Easier ImplementaDon of Process Improvement IniDaDves Visibility for OperaDons, ConsulDng, IP, ExecuDves
Websphere Monitoring
Outcomes System Users DownDme ReducDon Developer Access to Logs More Reliable/Predictable System ProacDve Monitoring/AlerDng and Support Visibility to Real- Time Events Easy Access to Data Less ad- hoc requests for analysts Easier ImplementaDon of Process Improvement IniDaDves Visibility for OperaDons / ConsulDng / IP / ExecuDves
PosiDve Impacts for End- Users Business Analysts Analyze data faster with improved business insights OperaDons ProacDvely monitor system performance and prevent unwanted system events IP/Engineering Analyze/idenDfy/resolve system issues faster than ever Consultants OpDmize system configuradons for improved client outcomes ExecuDve Team Able to create customized, data- driven, on- demand reports
Next Steps TradiDonal Splunk SIEM Build external views for dashboards, reports and alerdng Add addidonal transacdons Focus on external data sets, not nadve to our core Financial Hub 34
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