1. VAi2 Innovation: Digital Writing for Data Capture
Jorge A. Ferrer M.D., M.B.A. | Informatician | VHA OIA Office of Health Informatics-Knowledge Based Systems-Standards & Interoperability | E mail:
Adjunct Assistant Professor UTHealth School of Biomedical Informatics

2. VHA 2012 VAi2 Employee Innovation
NIST Presentation
Voted 20 out of 3,841 innovation competition ideas by VA employees
A HITIDE initiative within the VA portfolio
Oversight provided by a team of established informaticians and administrators drawn from the VHA, DOD, Federal agencies, academia and industry

3. Federal-Academia-Industry Innovation Advisory Team
Dr. Clayton Curtis, VHA; Dr. Paul Nichol, VHA; Dr. Steve Brown, VHA; Dr. Murielle Beene, OHI; Dr. Neil Evans, VHA; Dr. Michael Weiner, VHA; Donna Harrigan-Thrailkill, VHA; Mike Davis, VA; Dr. Jonathan Nebeker, VHA; Dan Marsh, RN, VHA; Dr. Bill Rudman, AHIMA; Dr. Bill Bria, AMDIS; Dr. Caitlin Cusack, AMIA; Dr. Larry Ozeran, Clinical Informatics Inc; Dr. Doug Rosendale, CAIRNformatics; Dr. Jiajae Zhang, UT; Dr. Chris Gibbons, JHU; Marc Wynne, CMS; Dr. Jon White, AHRQ; Dr. Lana Lowry, NIST; Wei Ma, NLM; Dr. Suzie Burke-Bebee, ASPE; Dr. Alicia Morton, ONC; Dr. Ross Koppel, U of Penn; Matt Reid, AMA; Rocco Bagala, VHA; John Edge R.N., VHA; Angelica Midgett, VHA; Dr. Susan Woods, VHA; Teresa Paguio-Palarca R.N., VHA; Thomas Shelton R.N., VHA; Dr. Alan Calvitti, UCSD; Dr. Zia Agha, UCSD; Dale Marie Ryan, MS, RN, VHA; Dr. Debora Simmons, St. Luke's Health System; Dr. Paul Latkany, DoD; Dr. David Hunt, ONC; Dr. Jim Sorace, ASPE.

4. VHA 2012 VAi2 Employee Innovation
A HITIDE initiative within the VA portfolio
Health Information Technology Innovation and Development Environments (HITIDE): A Model for Health Information Technology Innovation
HITIDE represents an “active innovation ecosystem that fosters collaboration of federal and private partners health IT-electronic health record innovations”.

5. Problem Statement
The purpose of the innovation is to build a new clinical documentation platform including annotation and structured data capture that overcomes the major limitations and drawbacks of the traditional GUI workstation. The primary design objectives are to provide tight integration with any defined workflow, improve usability with a new generation of technical solutions, enable portability of a familiar user experience (UX) across disparate EHR systems, and enhance the patient experience (PX) at the point of service.

6. Project Goals and Design Principles
Objective: Fundamentally improve clinical documentation at the point of service
First Principles:
Tell the patient’s story
Fill in knowledge gaps
Minimize the intrusiveness of information technology in the exam room and points of care
Let the workflow process drive the technology – not the other way around

7. Veterans Health Administration Strategic Plan FY 2013 – 2018
VHA Goals and Objectives: Provide Veterans Personalized, Proactive, Patient-Driven Health Care.
a. VA Health Care Delivery
b. Communication
c. Awareness & Understanding
d. Access to Information & Resources
e. Quality & Equity
f. Innovation & Improvement – VHA will drive an improvement culture by advancing innovation trials, emerging health technologies, and experimentation, through exploration of both constructive failures and dynamic successes, adopting practices that improve care while minimizing and managing acceptable risk.
g. Collaboration – VHA will strengthen collaborations within communities, and with organizations such as the Department of Defense, the Department of Health and Human Services, academic affiliates, and other service organizations.

8. PRINCIPLES OF HEALTH INFORMATICS REDESIGN. Robert L
PRINCIPLES OF HEALTH INFORMATICS REDESIGN Robert L. Jesse, MD, PhD, Principal Deputy Under Secretary for Health
1.If data is important enough that it is needed to manage the patient and/or the system, then it must be acquired as an integral part of the work process and not through retrospective data collection. –Data should be acquired in real-time, and in concert with the documentation of clinical activities. 2.Solutions must make the work easier and not impose undue burden or re-work. –Technology must facilitate the workflow, but not drive it. 3.Real-time visibility into the system must be available, and it must be transparent across the enterprise. –Manage all patient-health system interactions (e.g. location and times, waits and delays); manage patient staff relationship (e.g. handoffs); manage all tests and procedures in real-time (from scheduling to completion with concurrent documentation)

9. PRINCIPLES OF HEALTH INFORMATICS REDESIGN. Robert L
PRINCIPLES OF HEALTH INFORMATICS REDESIGN Robert L. Jesse, MD, PhD, Principal Deputy Under Secretary for Health
Continue: 4.To deliver evidence-based care we must have evidence-based management. –Clinical and Administrative processes support 5.To effectively manage the delivery of evidence-based care we must manage complexity –Data>Information>Knowledge>Wisdom

10. AMIA’s Invitational Health Policy Meetings
2006: Toward a National Framework for the Secondary Use of Health Data
2007: Advancing the Framework: Use of Health Data
2008: Informatics, Evidence-based Care, and Research; Implications for National Policy
2009: Anticipating and Addressing Unintended Consequences of HIT and Policy
2010: Future of Health IT Innovation and Informatics
2011: Future State of Clinical Data Capture and Documentation

11. AMIA’s 6thAnnual Policy Meeting The Future State of Clinical Data Capture and Documentation December 6-7, 2011, Washington, D.C.
AMIA’s 2011 Annual Health Policy Conference considered the future of clinical data capture, content and documentation with its challenges and opportunities. Because of the importance of high quality clinical documentation and data in supporting patient care, and given current initiatives encouraging the adoption of electronic health records (EHRs), it is crucial to understand how documentation and data capture processes and policies may be affected by “going electronic.”

12. AMIA’s 6thAnnual Policy Meeting (AMIA working definitions)
Clinical documentation [and data capture] refers to findings, observations, assessments, and care plans that are recorded in an individual's health record. It may include data entered using various methods, such as computer entry, document scanning, voice dictation, and automated acquisition from devices.
An individual’s health record is the repository of clinical information recorded about that person. The record has many functions.

13. AMIA’s 6thAnnual Policy Meeting 2011 Meeting Assumptions
Need to transform the way we capture data and document clinical care
New technological and technical advances for clinical data capture and documentation
New and diverse data sources, health technologies and devices for data acquisition, collection and reporting, treatment support, and information dissemination
Blurring of lines between devices and applications intended primarily for use by providers, and those intended for patients
Dynamic environmental factors, trends and issues impacting clinical data capture and documentation

14. AMIA’s 6thAnnual Policy Meeting AMIA Guiding Principles
Clinical data capture and documentation:
1. Be clinically driven and patient-centric –reflecting an individual’s longitudinal and lifetime health status
2. Be efficient –enhancing overall provider efficiency, effectiveness and productivity
3. Be accurate, reliable, valid and complete –enabling high quality care
4. Support multiple uses –including quality and performance measurement and improvement, population health, policymaking, research, education, and payment
5. Enable team collaboration and clinical decision making –including the patient as a member of the team
6. Reflect input from multiple sources –including nuanced medical discourse, structured items and data captured in other systems and devices

15. Journal of American Medical Informatics Association: The Future State of Clinical Data Capture and Documentation: a report from AMIA’s 2011 Policy Meeting Caitlin M Cusack, George Hripcsak, Meryl Bloomrosen, S Trent Rosenbloom, Charlotte A Weaver, Adam Wright, David K Vawdrey, Jim Walker, Lena Mamykina
Research Agenda Recommendations
DHHS should fund the development of innovative automated documentation tools, including data input methods that accommodate entry by various methods such as dictation with or without voice recognition, digital handwriting, and document scanning with or without optical character recognition.

16. Journal of American Medical Informatics Association 2013: The wave has finally broken: now what? (Simborg)
Barriers to achieving the promise of improved quality and reduced cost remain, as well as some unintended negative consequences.
Poor usability of user interfaces: Both anecdotal and formal survey data continue to indicate that physician unhappiness with EHRs remains a problem. A HIMSS task force has described ‘usability’ as ‘possibly the most important factor hindering widespread adoption of EMRs’
Distrust of EHR-produced encounter notes: EHR vendors incorporate a number of tools in their products to speed up the process of recording a clinical encounter. These include problem templates, copy forward, and ‘singleclick’ entry of review of systems and physical examination components.

17. Contact Information
Jorge A. Ferrer M.D., M.B.A
Informatician
VHA OIA Health Informatics
E mail: