How do we do more with less?
Transcription
How do we do more with less?
How do we do more with less? Kaizen, MPI and patient collections Company History Legacy Carilion Labs 1995 Consolidated lab formed within Carilion Clinic 2006 For-profit subsidiary of Carilion Clinic formed 2006 Completed a small acquisition of Rockbridge Medical Laboratory February 2011 Carilion-Spectrum becomes Solstas Lab Partners 2008 Completed second large acquisition of Innovative Pathology Services (IPS) 2007 Completed first major expansion, acquiring Presbyterian Reference Laboratory from Novant Health System March 2010 Merger of Carilion Labs and Spectrum Laboratory Network October 2010 Completed acquisition of Doctors Laboratory, Inc. (DLI) of Valdosta, GA June 2011 Acquired Select Diagnostics, Inc., adding offices in Greensboro and Raleigh, NC and Lexington, VA July 2011 Acquired Southern Diagnostics Laboratories of Birmingham, AL and expands into the Southern region June 2011 Acquired Wilmington, NC-based Nextwave Diagnostic Laboratories and Wilmington Pathology Associates 2000 Started growing existing and marketing new, non-hospital outreach clinics and doctors 2 4/29/14 2004 Acquired Tennessee-based MEDEX’s clinical laboratory business and Wellmont Hospital Systems laboratory operations August 2011 Acquired Oracle Diagnostic Laboratories of South Florida Geography 3 4/29/14 Solstas Billing 4 4/29/14 Goals • • • • Increase cash collection Reduce bad debt Reduce DSO Reduce inventories – Data Entry – Order Edit - Unbilled – Claim Check – Submissions – Back End Denials 5 4/29/14 Kaizen People and Process 6 4/29/14 Kaizen “Improvement” or “Change for the best” Refers to a philosophy or practice that is focused upon continuous improvement. 7 4/29/14 Vision Session Who, What, When? • Overview of functional area and work process • Align Kaizen leader, introduce challenges, review process • Target specific measurable gains & timeline • Identify resources Staff level (workers) Whole process Outside but supporting • Prepare… 8 4/29/14 Kaizen Objectives ↓ DSO ↓ Inventory ↓ Expense 9 4/29/14 The Kaizen week Day 2 Day 3 Day 1 Day 4 Day 5 10 10 4/29/14 Process Mapping 11 4/29/14 Kaizen #1 Order Edit Current process: • Work assigned by edit type • Limited job aids and resources • Errors in data entry • Staff specialized in solving the edit types they were assigned 12 4/29/14 Kaizen #1 Order Edit Results: • Work assigned by accession “Single-piece-flow” • Intranet page generated to house resources and job aids • System edits to prevent Input errors during data entry • Training specific to error type across all staff 13 4/29/14 Kaizen #2 Claim Check (Eligibility Verification) Current process: • Work assigned by problem, searching across mul=ple web sites • Manual entry of notes to document ac=ons taken • Time spent logging on to various web sites • Inconsistent knowledge across staff of payer syntax and search techniques 14 4/29/14 Kaizen #2 Claim Check (Eligibility Verification) Results: • Formed teams of two, group and assign work by payer, rotate quarterly • Automation of notes • Productivity Increase • Ongoing quarterly training 15 4/29/14 Kaizen #3 Cash Current process: • Manual process to create batches for posting electronic remittance • High volume of paper for manual remittance • Productivity measures tracked manually 16 4/29/14 Kaizen #3 Cash Results: • Automate the process for creating & assigning batches for electronic remittance • Combine prepping & posting into a single process • Paperless workflow – manual remittance • Automated productivity reporting 17 4/29/14 What did we gain? • “Work smarter, not harder” • Staff level empowerment • Continuous improvement – the cycle never ends 18 4/29/14 Master Patient Index Technology 19 4/29/14 MPI Episodic “Patient-Centric” Leveraging eligibility and paid claims data 20 4/29/14 Incomplete billing data Patient Demographics Issues “Dirty” or missing data • Patient address • DOB or gender • Partial insurance information • Eligibility failures • Accession-centric 21 4/29/14 Master Patient Index • Patient-centric • Utilize paid claims demographics • Eliminate unnecessary eligibility verification • Rapid implementation • Familiar product • Trusted vender relationship 22 4/29/14 Data and Matching Review data elements available for matching • Confirm position/location of data • Verify definition and use • Determine what data elements will be updated 23 4/29/14 Data and Matching Data used for patient matching • Patient first and last name • Patient address • Gender • DOB • SSN • Home telephone number • Client MRN • Policy number • Patient data is not client centric 24 4/29/14 Data and Matching Data update rules Person Data • Patient demographics Billing Data • Responsible party • Insurance information 25 4/29/14 Validation of our ‘rules’ • Allow data to process through MPI • Produce report of “MPI actions” to validate Validation included • ‘Autofixes’ trump MPI • Date parameters for successful eligibility and paid claims set correctly • MPI data matched 270/271 output or human research • Identified need to modify our default billing type 26 4/29/14 Beta Isolate production activation to a select group of ‘safe’ clients • Nursing Home clients • Additional clients added a few at a time Big Bang Impact Weekly inventory: 18k 10k Continues to drop as MPI ages 27 4/29/14 What we learned • Needed an ‘Exclude list’ of clients o Mix of client and insurance bill types o Client bill only accounts o Sensitive clients • Refine the timing of MPI updates • Store secondary insurance data • Added automated notes to accessions updated 28 4/29/14 MPI stats • 3.4M MPI records to date • 1.5M MPI records verified April • MPI updated 30% of our volume Nov-Apr • 1.9M patients seen • 41% of patients seen more than once 29 4/29/14 Next Steps • • • • 30 4/29/14 Begin to eliminate 270/271 for ‘verified’ patients Refine eligibility and paid claims dates by payer Challenge ‘excluded list’ Align MPI updates with data entry queues Patient Collections Technology 31 4/29/14 Patient collections Issue • Limited POS cash collection • Largest contributor to bad debt Objective • Increase patient collections • Decrease volume sent to outside agency 32 4/29/14 LiveVox Automated dialer • Outbound calling application • Select past due accounts (between 2nd and 3rd mailer) • Dialer active during Customer Service hours & two Saturday’s/month • Calls given priority in Customer Service queues 33 4/29/14 LiveVox Automated dialer 32% increase in Customer Service collections over prior year • Existing staff • Nominal vendor expense 34 4/29/14 Results 35 4/29/14 2013 36 4/29/14 2013 37 4/29/14 2013 38 4/29/14 Questions 39 4/29/14