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2/8/17
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PRACTICAL PITFALLS OF THE ELECTRONIC MEDICAL
RECORD STEVE WAXMAN MD, JD, FCLM ACLM 57TH ANNUAL MEETING
FEBRUARY 25, 2017
DISCLOSURES
Mid-‐America Kidney Stone AssociaMon-‐Shareholder
TERMINOLOGY
Ø Electronic Medical Records (EMRs) Ø Electronic Health Records (EHRs) Ø Personal Health Records (PHRs) Ø Hospital Based Systems Ø Office Based Systems
VENDORS
Ø Meditech Ø Cerner Ø McKesson Ø Epic Systems Ø Siemens Healthcare Ø VistA-‐Veterans Affairs Ø AHLTA-‐U.S. Military Ø And Hundreds More
HEALTH INFORMATION TECHNOLOGY LEGISLATION
Ø American Recovery and Reinvestment Act-‐-‐-‐ARRA Ø Health Insurance Portability and Accountability Act-‐-‐-‐HIPAA Ø Health InformaMon Technology For Economic and Clinical Health-‐-‐-‐HITECH Ø Affordable Care Act-‐-‐-‐ACA Ø FDA Safety and InnovaMon Act-‐-‐-‐FDASIA
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Stage 1: Meaningful use criteria focus on:
Stage 2: Meaningful use criteria focus on:
Stage 3: Meaningful use criteria focus on:
Electronically capturing health informaMon in a standardized format More rigorous health informaMon exchange (HIE)
Improving quality, safety, and efficiency, leading to improved health outcomes
Using that informaMon to track key clinical condiMons
Increased requirements for e-‐prescribing and incorporaMng lab results Decision support for naMonal high-‐priority condiMons
CommunicaMng that informaMon for care coordinaMon processes
Electronic transmission of paMent care summaries across mulMple seangs PaMent access to self-‐management tools
IniMaMng the reporMng of clinical quality measures and public health informaMon More paMent-‐controlled data
Access to comprehensive paMent data through paMent-‐ centered HIE
Using informaMon to engage paMents and their families in their care Improving populaMon health
MEANINGFUL USE EMR USAGE IN U.S. AS OF 2015
Ø Hospitals-‐90% Stage 2 (Meaningful Use) Ø Offices-‐87% Had Any EMR Ø Offices-‐54% Had Basic EMR Ø Offices-‐41% PaMents Could Download Their Own Medical Record Ø Offices-‐19% Could E-‐Send Their Record to a 3rd party Ø Already Way Past Being the First One to Adopt-‐Don’t Want to be the Last to Adopt-‐PenalMes Ø Technology Constantly Advancing-‐Hard Enough Keeping Up With Advances In Medicine Ø It Is Very Expensive Ø Now Add the Epidemic of Hacking and IdenMty Theh
COMPUTERIZED PHYSICIAN ORDER ENTRY (CPOE)
Ø Standardized Order Sets-‐Reviewed and Approved by Medical, Nursing and Pharmacy Staffs Ø Orders, Sets and Protocols Consistent with NaMonally Recognized and Evidence Based Guidelines Ø Periodic and Regular Review by Medical, Nursing and Pharmacy Staffs Ø Hospital Commiiees Determine the ConMnuing Usefulness and Safety Ø Dated, Timed and AuthenMcated in the EMR Ø Must have Robust Training and Real Time Support 24/7 Ø Must Ensure “Workarounds” by Providers Do Not Compromise PaMent Safety or Validity of EMR
CONTENT IMPORTING TECHNOLOGIES (CIT)
Ø PotenMal Problems During an Audit Ø Progress Notes with Physical Exams Nearly IdenMcal on Subsequent Visits-‐Over Time or Changes in Dx Ø MulMple PaMents with Exactly the Same Findings Ø Extraordinarily Long and Detailed Progress Notes Not Necessary to Address the Problem
COPY AND PASTE
Ø Good For Things Like a Pathology Report Ø Standard DescripMon of a Procedure-‐-‐-‐i.e. Vasectomy or Informed Consent for Radical Prostatectomy Ø Bad When ImporMng Material That is Inaccurate or Not PerMnent to the New Encounter Ø Also Bad When Copied Material is Not Properly Edited to Accurately Reflect the Current Encounter Ø “Note Bloat” Makes it Tougher to Find Clinically Relevant InformaMon Related to Current Visit Ø Unnecessary Loading of Detailed InformaMon From the Past Lessens Credibility of the Note/Provider Ø Ugly When > 50% of Providers note is Copy/Paste. Metadata & Plagiarism Sohware Picks This Up Easily Ø Different From Specialty Offices Which May See a Large Number of Similar CondiMons
PRE-‐POPULATION AND INFORMATION PULLED FORWARD
Ø Demographics Ø Past Surgical History Ø Past Medical History Ø Meds Ø Allergies Ø Review of Systems Update Ø Pressures to Aggressively Code Ø Limit the Types of Data to Pull Forward-‐Demographics and Relevant Info/Procedures/Reports, etc.
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TEMPLATES AND AUTOMATED TEMPLATES Ø Good in That They Facilitate Uniformity and Ease of Retrieval Ø Need Room to Free Text and Personalize the Encounter Ø Problems Arise When: Ø The Note Appears to be “Canned” Ø Default Seangs are Normal or “Auto negaMve” Ø Was Every Item Examined? Ø Were they All Really Normal? Ø Looks Bad When Caught Red Handed-‐Normal Neuro Exam on Paraplegic PaMent Ø Upcoding or Overcoding?
FREE TEXT AND DRAGON
Ø Allows the Provider to “Personalize” the Note Ø Templates Should Be Adjustable Ø Some Templates are Designed to Capture a Level of Code Rather Than Address the Problem Ø Need Complete CollecMon of InformaMon to Achieve Each Level of Code Ø However, Is the Problem Appropriate to JusMfy the Level of Care? Ø i.e.-‐-‐-‐DocumenMng More Intensive Services Than Were Reasonable and Necessary Under the
Circumstances. Level 5 for Minor LaceraMon or Ankle Sprain
Ø AuthenMcaMon-‐Diagnosis Codes, Level of Complexity and Care, Is It Correct?-‐ Is It Warranted? Ø Machine Generated Level of Care Code?, Frequent Use of Time Spent With PaMent Override to Increase
Code
CLONING
Ø Suspicious When Every Entry in EMR is the Same or Similar to the Previous Entries Ø Between Entries of the Same PaMent or Between Entries of Different PaMents Ø Similar is OK if Record Accurately Reflects Clinical SituaMon—i.e.-‐Cold, Flu, GastroenteriMs Ø Medicare Audit-‐True Cloning-‐MisrepresentaMon of Medical Necessity Requirement of Services Ø Office of Inspector General (OIG)-‐-‐Over docum