Kevin S.Hughes, MD, FACSCo-Director, Avon Comprehensive Breast Evaluation Center

Massachusetts General Hospital

Surgeon

The Newton-Wellesley Hospital Breast Center

Beyond the EHR

EHR and productivity varies by specialty100 internists, pediatricians and family practitioners

• Initial implementation – 25 to 33 percent drop in MD productivity

• Over time– Internists

• Slightly above original productivity– Pediatricians and family practitioners

• Remained below original productivity

• Explanations– Internists review data entered by others

• EMRs more efficient– Pediatricians/family practitioners data entry and documentation

• EMR more time-consuming

Hemant Bhargava, UC Davis Graduate School of Management

• Quote from a breast surgeon recently on a new EHR

• …our productivity is down 28%• Everyone attributes this to the learning curve of xxxx EHR.• I am the highest paid transcriptionist in the state• Each cancer patient chart takes me apprx 1 hour • For the first time in my career, I turned down an add-on patient

from one of my outside referrers because I just could not spend one more hour putting a new patient into the computer

• I spent 5 hours on Saturday and 4.5 on Sunday catching up on charts from Thurs and Friday and backloading charts of return patients for Tuesday

EHR

Generic Interface

DatabaseFiling Cabinet

Or Document Management System

The EHR is a filing cabinet, not a database. The interface is the same for a

pediatrician, a neurosurgeon, a cardiologist, and everyone else, as if every

specialist wanted data presented the same way.

EHR

Mammography Interface

Pathology Interface

Generic Interface

Filing CabinetOr

Document Management System

AnesthesiaInterface

Anesthesia, pathology and breast imaging

have set up their own databases and

interfaces to deal with their unique needs.

They send free text reports into the EHR as

the EHR lacks the ability to accept data.

HughesRiskAppsBreast Surgery Module

Free software available at:

Kshughes@Partners.org

HughesRiskApps.net

Less work + CDS = Higher Quality

Reviews Report & Pedigree

Reviews suggestedmanagement Documents and

Orders

Patient education

al materials

Clinical Decision Support

Patient enters data : Tablet PC

iPadWebsite

Clinical Decision Support

EHR

Breast Data Overlaps

EHR

Breast MedOncInterface

Breast Surgery Interface

RT Interface

Breast Surgery Module as the prototypeCan be adapted to other disciplines and other cancers easily

• Designed to decrease clinician workload

• Increase quality by facilitating appropriate course of action– Examples:

• Risk algorithms run real-time

• Referral letters generated real-time

• Improve patient satisfaction– Provide educational materials real-time

• Store data needed for certification by NAPBC, ACoS, QOPI, and others– Easily retrieves most data needed for certification with minimal work

• Decrease cost– Per above, savings in staff and workload

– Decrease in transcription costs of $6000 or more per clinician per year

HughesRiskApps modules follow a simple workflow

Existing data Patient data entry

Clinical Decision Support (CDS)

Printout with suggested actions

Clinician editing/enhancing

Clinical Decision Support (CDS)

Generate orders and documents

Choose how much data you want the patient to enter via the Tablet

by choosing the type of survey

• Standard

– Basic risk information

• MGH Standard

– Basic risk information plus an extended medical history

Using the HughesRiskApps Tablet questionnaire (With added questions for the Surgery Clinic), a patient can enter her own data

• Requiring little or no help from the staff, patients enter their own data.

• 5th Grade Reading Level

• Available in English, Spanish and Italian

Sample screenshots follow

Additional data can be entered by Nurse, Assistant or Clinician

Can be entered by Nurse, Assistant or Clinician

Patient data is downloaded from the LMR (MGH home grown EMR) allowing correlation with patient entered data

• Problem List

• Medications

• Allergies

• Procedures

Upload of data being developed. Interfaces with other EMRs in development.

Patient data is downloaded from the LMR (MGH home grown EMR) allowing correlation with patient entered data

Upload of data being developed. Interfaces with other EMRs in development.

Patient data is downloaded from the LMR (MGH home grown EMR) allowing correlation with patient entered data

Upload of data being developed. Interfaces with other EMRs in development.

Patient data is downloaded from the LMR (MGH home grown EMR) allowing correlation with patient entered data

Upload of corrected data being developed. Interfaces with other EMRs in development.

Entered by MD

Entered by MD (Question set is appropriate to the Chief Complaint)

Entered by MD, but eventually will be an automatic interface with radiology system

Entered by patient via tablet, Clinician/Staff can edit and enhance

Entered by patient via tablet, Clinician/Staff can edit and enhanceSubTabs for Risk Factors, Family History (As Table), Pedigree, and Risk Analysis under Tab for specific disease

Entered by patient via tablet, Clinician/Staff can edit and enhanceCan view/edit Family History via table or pedigree(See next slide)

Entered by patient via tablet, Clinician/Staff can edit and enhanceCan view/edit Family History via pedigree or table (See Prior slide)

Data entered by patient via tablet is used to run risk models

Entered by patient via tablet, Clinician/Staff can edit and enhance

MD enters Physical Exam with interactive breast diagram. Double click on lump to add information

Impression (s) are chosen by the Clinician

If the Impression includes surgery, Surgical Scheduling screen opens with appropriate procedure pre-chosen.Clinician can edit or change procedure as needed

Orders are pre-filled based on impression and proceduresClinician can add/edit orders

A choice of letters and information sheets are pre-chosen based on orders

H&P Generated Currently in use, being modified and enhanced

Consent, Administrative Paperwork, Patient Education Materials printed

At post operative visits, pathology data is entered and the computer organizes and summaries

Table (Above gray area) shows the procedures and a pathologic summary of the resultsThe more detailed pathology view (Below gray area) relates to the SELECTED procedure

Can view surgeries on a timeline

Future timelineWill soon also include Timelines for Breast Imaging, Chemotherapy, RT, and Hormonal Therapy

In development

Not yet available

Breast Surgery Module as the prototypeCan be adapted to other disciplines that treat breast cancer, as

there is significant overlap of data collected

The source of this data can be seen at the procedures tab

When the final surgery is completed, the cancer summary is derived from the pathology of the individual procedures that had been entered by MD

After the final surgery, letters are generated to PCP summarizing care, and to Med and Rad Onc, asking for consultation/opinion

Summary of surgery is sent to primary and as part of referral letters to Medical Oncology and Surgical Oncology

Data needed for certification by NAPBC, ACoS, QOPI, and others shown as a report

at any time

Breast Surgery Module as the prototypeCan be adapted to other disciplines that treat breast cancer, as

there is significant overlap of data collected

Breast Surgery Module as the prototypeCan be adapted to other cancers

• Ideally will serve as a module to any EHR