Predict, Alert, Manage, and OpDmize an Ecosystem with Splunk

Size: px

Start display at page:

Download "Predict, Alert, Manage, and OpDmize an Ecosystem with Splunk"

Angela Terry
10 years ago
Views:

2 Disclaimer During the course of this presentadon, we may make forward looking statements regarding future events or the expected performance of the company. We caudon you that such statements reflect our current expectadons and esdmates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward- looking statements, please review our filings with the SEC. The forward- looking statements made in the this presentadon are being made as of the Dme and date of its live presentadon. If reviewed ater its live presentadon, this presentadon may not contain current or accurate informadon. We do not assume any obligadon to update any forward looking statements we may make. In addidon, any informadon about our roadmap outlines our general product direcdon and is subject to change at any Dme without nodce. It is for informadonal purposes only and shall not, be incorporated into any contract or other commitment. Splunk undertakes no obligadon either to develop the features or funcdonality described or to include any such feature or funcdonality in a future release.

For important factors that may cause actual results to differ from those contained in our forward- looking statements, please review our filings with the SEC.

3 Speakers Tom Twait Chris Hogan Manager, EDI Services 13 Cerner University of Iowa Sr SoluDon Architect, EDI Services 4 Cerner University of Missouri Rockhurst University (MBA)

Sr SoluDon Architect, EDI Services 4 Years @

4 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

Annual Revenue Publicly traded (NASDAQ) with 20+ years of 20% compounded

6 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

Management Credit Card Processing Medical Necessity Checks Real-

7 Complex ConnecDons

8 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

to Data Less ad- hoc requests to analysts Limited OperaDonal ReporDng Slowing Moving Process

9 AnalyDcs Ecosystem at Cerner TransacDonal ReporDng Source System ApplicaDon Monitoring

10 AnalyDcs Ecosystem

11 TransacDonal ReporDng

12 TransacDonal ReporDng

13 TransacDonal ReporDng

14 AnalyDcs Ecosystem

15 Websphere ApplicaDon Server

16 Websphere ApplicaDon Server

17 Websphere ApplicaDon Server

18 AnalyDcs Ecosystem

19 Millennium

20 Millennium

21 AnalyDcs Ecosystem at Cerner TransacDonal ReporDng Source System ApplicaDon Monitoring

22 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

24 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

25 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

26 Real- Time Eligibility Processing

27 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

28 Real- Time Eligibility AlerDng

29 Credit Card Processing

30 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

31 Websphere Monitoring

32 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

33 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

34 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

35 Don t believe everything you read on the Internet just because there s a picture with a quote next to it - Abraham Lincoln Cerner CorporaDon. All rights reserved. This document contains Cerner confidendal and/or proprietary informadon belonging to Cerner CorporaDon and/or its related affiliates which may not be reproduced or transmived in any form or by any means without the express wriven consent of Cerner. 35

36 QUESTIONS? Cerner CorporaDon. All rights reserved. This document contains Cerner confidendal and/or proprietary informadon belonging to Cerner CorporaDon and/or its related affiliates which may not be reproduced or transmived in any form or by any means without the express wriven consent of Cerner. 36

PaDent Privacy Monitoring with Splunk

Copyright 2015 Splunk Inc. PaDent Privacy Monitoring with Splunk Davin Studer Systems Analyst, The Vancouver Clinic Disclaimer During the course of this presentadon, we may make forward looking statements