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New application areas for speech recognition in the EMR and their effects on patient safety

New application areas for speech recognition in the EMR and their effects on patient safety. Mert Öz, Product Manager Innovations, Nuance Healthcare Mert.oez@nuance.com. Agenda. EMRs: A bird’s-eye view The silver bullet: EMR promise and reality

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New application areas for speech recognition in the EMR and their effects on patient safety

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  1. New application areas for speech recognition in the EMR and their effects on patient safety Mert Öz, Product Manager Innovations, Nuance Healthcare Mert.oez@nuance.com

  2. Agenda • EMRs: A bird’s-eye view • The silver bullet: EMR promise and reality • Facilitating EMR adoption with speech recognition • “Not your father’s speech recognition”

  3. Complex Eco-system of IT Entities

  4. EMR / EPR / EHR / PHR … Many names, many meanings Hailed as the key to sustainable healthcare US stimulus plan calls for vast government subsidies for EMR adoption European Commission: “EMRs should be interoperable by 2015 to ensure cross-border healthcare.” Big players increase their activities: Google, Microsoft, IBM, SAP…

  5. The Cost Promise prevent unnecessary costs (labs, images, medications, etc.) through improved disease management optimize patient management help in anti-fraud measures reduce malpractice costs generate data for developing more cost effective care better regulatory compliance (less fines, accurate and timely reimbursement etc) … Efficient hospital: 91% of spendings related to medical care. Source: Blue Cross Blue Shield of Michigan.

  6. The Care Promise reduce diagnostic & medication errors improve treatment through e.g. EBM avoid unnecessary procedures & medications indulge in preventive care raise quality of life through disease management educate patients on their condition / treatment plan …

  7. The Reality • Adoption rate 10-12% in US • Systems not always used to their full potential or don’t deliver to the promise • Simply converting paper to electronic forms is not enough • Adoption barriers and resistance among physicians EMR adoption: Making physicians happy. Always?

  8. Adoption challenges • Costs of implementation / transition / operation • Interoperability / standards • Security & privacy concerns • Costs / benefits alignment • … USABILITY

  9. Speech Recognition in Healthcare today: An Update Backend MTSOs In-house / on-premise with own / outsourced transcriptionists / editors Front-end Mostly radiology Limited usage in EMRs, but growing At specific control points in workflow (e.g. discharge summary) “Dictate Anywhere” paradigm: Dragon Medical Healthcare documentation: Every time has its methods

  10. Speech Recognition in Healthcare today: Workflow dimension The classical documentation workflow enhanced with speech recognition. Raw data Text Text attached EMR Report Billing

  11. Speech Recognition in Healthcare today: Workflow dimension Report Billing

  12. Structured, Complex, Multidiciplinary – and Many Actors  Usability in the backburner EMR xIS

  13. Contrast: Dictated Report vs EMR documentation

  14. Speech Recognition in Healthcare: Workflow dimension The classical documentation workflow enhanced with speech recognition. Raw data Text Text attached EMR Report Billing

  15. Interpretation • Parsing • Tagging Speech Recognition in Healthcare: The Future Information capturing and processing with advanced speech tools. Clinical pathways CDSS Reference Lookup Raw data Text Actionable information Actions Medication check Clinical Data Repository Coding Point & Click / Direct voice entry of structured info Structured reports

  16. Evolution of Speech Recognition in Healthcare

  17. Interactive Clinical Documentation • Demonstration by • By David Lareau, COO Medicomp

  18. Nuance @ HIMSS 2009 Thank you Integration Partners Booth 1448

  19. A Difficult Fit: EMR and “Classical” Speech Recognition Not too many places to dictate

  20. Electronic Medical Record: The Promise -3- Ohio State example Medication turn-around times dropped fully 64 percent. Radiology order entry turnaround times fell from seven hours, 37 minutes, to four hours, 21 minutes. Medical transcription errors were eliminated where the system was in use. Where it was not yet implemented, errors reached as high as 26 percent.

  21. Electronic Medical Record: The Promise -4- Small Practice example Dr. Peter Masucci, a pediatrician with his own office in Everett, Mass., embraced electronic health records to “try to get our practice into the 21st century.” He could not afford conventional software, and chose a Web-based service from Athenahealth, a company supplying online financial and electronic health record services to doctors’ offices. Dr. Masucci was already using Athenahealth’s outsourced financial service, and less than two years ago adopted the online medical record. Today, Dr. Masucci is an enthusiast, talking about the wealth of patient information, drug interaction warnings and guidelines for care, all in the Web-based records. “Do I see more patients because of this technology? Probably no,” Dr. Masucci said. “But I am doing a better job with the patients I am seeing. It almost forces you to be a better doctor.”

  22. Electronic Medical Record: The flip side -2- Cedars-Sinai Medical Center in Los Angeles … $34 million Computerized Physician Order Entry system, but only included the input of a few physicians before launching it hospital-wide in late 2002 without thorough training (Connolly, 2005). Physicians who were used to scribbling a few notes by hand were now required to go through nearly a dozen screens and respond to numerous alerts for even common orders. Such usability issues with the “clunky and slow” interface caused more than 400 doctors to demand its removal within three months of its launch (Ornstein, 2003).

  23. Electronic Medical Record: The flip side -3- VA Example: ... display that did not clearly indicate stop orders for treatment, leading to reported cases of unnecessary drug doses. The Associated Press (2009) reported that “patients at VA health centers were given incorrect doses of drugs, had needed treatments delayed and may have been exposed to other medical errors due to the glitches that showed faulty displays of their electronic health records.” This prompted the chairman of the House Veterans Affairs Committee, Rep. Bob Filner (D-California) to state that "… confidence must be inherent in any electronic medical records system."

  24. Barriers to implementing EHR

  25. Barriers to implementing EHR When inspecting this table, some interesting observations emerge. Certainly, well-known factors like security and cost are cited as key factors, but another theme – usability – floats near the top. Usability is rarely mentioned by name as a barrier to EHR adoption by respondents at these group practices; yet, two of the top five barriers to implementation are related to the usability of EHRs (items 3 and 4). And while implementation costs are important barriers to practitioners, some of the other popularly cited reasons for lack of adoption – security, privacy, and systems integration – are outranked by usability and productivity concerns. Usability issues are also a factor in why EHR implementations fail. In a survey conducted by Linder et al., (Linder, Schnipper, Tsurikova, Melnikas, Volk, & Middleton, 2006), primary care physicians were asked to list reasons they did not use the EHRs available to them. Thirty-five percent of those physicians listed specific EHR usability issues, the most common of which were: problems with screen navigation, no access to secondary functions, and concerns that data will be lost. Anecdotal support for usability and EHR failure comes from Cedars-Sinai Medical Center in Los Angeles. developed a $34 million Computerized Physician Order Entry system, but only included the input of a few physicians before launching it hospital-wide in late 2002 without thorough training (Connolly, 2005). Physicians who were used to scribbling a few notes by hand were now required to go through nearly a dozen screens and respond to numerous alerts for even common orders. Such usability issues with the “clunky and slow” interface caused more than 400 doctors to demand its removal within three months of its launch (Ornstein, 2003). Poor usability can also endanger patient health. One example of a usability failure was a display that did not clearly indicate stop orders for treatment, leading to reported cases of unnecessary drug doses. The Associated Press (2009) reported that “patients at VA health centers were given incorrect doses of drugs, had needed treatments delayed and may have been exposed to other medical errors due to the glitches that showed faulty displays of their electronic health records.” This prompted the chairman of the House Veterans Affairs Committee, Rep. Bob Filner (D-California) to that "… confidence must be inherent in any electronic medical records system.“ Clearly, there is a dissociation between the importance of usability and its lack of inclusion in the procurement process. On one hand, we have usability being a main barrier to entry and a significant reason for lack of acceptance, and on the other, we have seen that usability is largely ignored during the procurement process. Defining usability: usability goals must be set by specifying target values for effectiveness, efficiency, and satisfaction. For each product, these attributes should be measured in order to compare products to each other and to the usability goals.

  26. Other Countries' Experience : examples of EHR adoption Source: How to Select an Electronic Health Record System that Healthcare Professionals can Use    User Centric, Inc. February 2009

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