1. Kevin S.Hughes, MD, FACS Co-Director, Avon Comprehensive Breast Evaluation Center Massachusetts General Hospital Surgeon The Newton-Wellesley Hospital Breast Center Beyond the EHR

2. EHR and productivity varies by specialty 100 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

3. 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

4. EHR Generic Interface Database Filing 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.

5. EHR Mammography Interface Pathology Interface Generic Interface Filing Cabinet Or Document Management System Anesthesia Interface 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.

6. HughesRiskApps Breast Surgery Module Free software available at: Kshughes@Partners.org HughesRiskApps.net

7. Less work + CDS = Higher Quality Reviews Report & Pedigree Reviews suggested management Documents and Orders Patient education al materials Clinical Decision Support Patient enters data : Tablet PC iPad Website Clinical Decision Support EHR

8. Breast Data Overlaps

9. EHR Breast MedOnc Interface Breast Surgery Interface RT Interface

10. Breast Surgery Module as the prototype Can 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

11. 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

12. 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

13. 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. 5 th Grade Reading Level Available in English, Spanish and Italian Sample screenshots follow

19. Additional data can be entered by Nurse, Assistant or Clinician

20. Can be entered by Nurse, Assistant or Clinician

22. 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.

23. 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.

24. 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.

25. 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.

26. Entered by MD

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

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

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

30. SubTabs for Risk Factors, Family History (As Table), Pedigree, and Risk Analysis under Tab for specific disease

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

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

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

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

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

36. Impression (s) are chosen by the Clinician

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

38. Orders are pre-filled based on impression and procedures Clinician can add/edit orders

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

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

41. Consent, Administrative Paperwork, Patient Education Materials printed

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

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

44. Can view surgeries on a timeline

45. Future timeline Will soon also include Timelines for Breast Imaging, Chemotherapy, RT, and Hormonal Therapy In development Not yet available

46. Breast Surgery Module as the prototype Can be adapted to other disciplines that treat breast cancer, as there is significant overlap of data collected

47. 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

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

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

50. Data needed for certification by NAPBC, ACoS, QOPI, and others shown as a report at any time

51. Breast Surgery Module as the prototype Can be adapted to other disciplines that treat breast cancer, as there is significant overlap of data collected

52. Breast Surgery Module as the prototype Can be adapted to other cancers Ideally will serve as a module to any EHR