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Gary A. Ezzell, Ph.D. Mayo Clinic Arizona Gary A. Ezzell, Ph.D. Mayo Clinic Arizona Getting Better … Getting Better … Report Card on RO-ILS March, 2016

Getting Betteramos3.aapm.org/abstracts/pdf/113-31177-379492-117933-1574789… · Report Card on RO-ILS March, 2016. Getting Better: Learning from each other ... Q3, 2015 • Distribution

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Page 1: Getting Betteramos3.aapm.org/abstracts/pdf/113-31177-379492-117933-1574789… · Report Card on RO-ILS March, 2016. Getting Better: Learning from each other ... Q3, 2015 • Distribution

Gary A. Ezzell, Ph.D.Mayo Clinic ArizonaGary A. Ezzell, Ph.D.Mayo Clinic Arizona

Getting Better …Getting Better …

Report Card on RO-ILSMarch, 2016

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Getting Better: Learning from each other

Getting Better: Learning from each other

• Radiation Oncology Incident Learning System (RO-ILS)- ASTRO initiative, AAPM co-sponsors

• Run through Clarity PSO- “PSO” = Patient Safety Organization- Web-based, no IT support needed- No charge to users- Data is protected by law

• Radiation Oncology Incident Learning System (RO-ILS)- ASTRO initiative, AAPM co-sponsors

• Run through Clarity PSO- “PSO” = Patient Safety Organization- Web-based, no IT support needed- No charge to users- Data is protected by law

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DesignDesign

• Report form jointly designed by ASTRO, AAPM, Clarity

• Can serve as a facility’s only Incident Learning System (ILS)

• Two-step reporting process- Initial report by front-line user (brief)- Additional data added after internal

review

• Report form jointly designed by ASTRO, AAPM, Clarity

• Can serve as a facility’s only Incident Learning System (ILS)

• Two-step reporting process- Initial report by front-line user (brief)- Additional data added after internal

review

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Report includes narrative descriptions and data elements that can be selected and

compiled for analysis

Report includes narrative descriptions and data elements that can be selected and

compiled for analysis

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How is the information used?How is the information used?

• All reports are reviewed by team of 8 RadOnc professionals – MDs, Physicists, etc.- Radiation Oncology Health Advisory

Council (RO-HAC)• Reports summarizing the most useful

findings are done quarterly and transmitted to users

• All reports are reviewed by team of 8 RadOnc professionals – MDs, Physicists, etc.- Radiation Oncology Health Advisory

Council (RO-HAC)• Reports summarizing the most useful

findings are done quarterly and transmitted to users

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Safety Incidents

RO‐ILS National Database

‐de‐identified data‐selected incidents‐for ROHAC analysis 

Local Analysis

Event Prevention and Mitigation

RO‐ILS PSWPQuarterly Reports

Process Interventions and Improvement

RO‐HAC Analysis‐Aggregate Data‐Trends over Time‐Case Reviews

Institution‐Specific Database

‐identified data‐all incidents reported‐for institution use only

Initial Report (Brief)

Additional Information

Incidents Selected by Institution

RO‐ILS Incident Reporting

RO‐ILS National Analysis

Local Process Improvement

Inform National Policies

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RO-ILS Status as of February 15, 2016RO-ILS Status as of February 15, 2016

• Signed contracts: 94 providers representing 205 facilities

• 39 pending representing 74 facilities• 2542 local reports from 66 providers• 1454 reports in national system from

43 providers• 6 Quarterly Reports sent to users

- Go to ASTRO.ORG and search for ROILS

• Signed contracts: 94 providers representing 205 facilities

• 39 pending representing 74 facilities• 2542 local reports from 66 providers• 1454 reports in national system from

43 providers• 6 Quarterly Reports sent to users

- Go to ASTRO.ORG and search for ROILS

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How is it being used?How is it being used?

• Some users report a few safety events• Some use it as a comprehensively• Some users report a few safety events• Some use it as a comprehensively

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Some descriptive statistics through Q3, 2015

Some descriptive statistics through Q3, 2015

• Distribution of event types- Reached the patient 38%- Near-misses 37%- Unsafe conditions 24%

• When occurred – most frequent- Treatment planning 31%- Treatment delivery 23%

• Distribution of event types- Reached the patient 38%- Near-misses 37%- Unsafe conditions 24%

• When occurred – most frequent- Treatment planning 31%- Treatment delivery 23%

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What have we seen so far?What have we seen so far?

• Distribution of event types- 36% “reached the patient”- 34% “near-misses”- 30% “unsafe conditions”

• How to distinguish between these?

• Distribution of event types- 36% “reached the patient”- 34% “near-misses”- 30% “unsafe conditions”

• How to distinguish between these?

“Physics plan check found that the shift instructions were incorrect: 0.9 cm anterior instead of posterior. Corrected before treatment” Near-miss or Unsafe condition?

“Shift instructions were were incorrect: 0.9 cm anterior instead of posterior. Found at initial IGRT and corrected” Near-miss or Reached the patient?

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What is interesting?What is interesting?

• RO-HAC ranks events on a 1-5 scale, judging potential clinical significance

• Looking at 232 events ranked 4 or 5 out of 1296 (18%)

• RO-HAC ranks events on a 1-5 scale, judging potential clinical significance

• Looking at 232 events ranked 4 or 5 out of 1296 (18%)

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How caught All R N or UPhysicist review 30 11 19RTT review 34 9 25IGRT 13 2 11Dosimetrist review 2 0 2Chart Rounds 3 3 0Daily QA device 2 2 0In vivo dosimetry 1 1 0

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How missed All R N or UPhysicist missed 74 32 42IGRT failed to catch or caused 9 9 0

Physicist check missed 74/104 potential catches

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Keywords All R N or URx, plan mismatch 43 18 25Shifts 30 13 17Plan quality 26 12 14Communication 19 14 5Human data transfer 14 14 0Gating 12 10 2Laterality 11 1 10Previous treatment 10 5 5Emergent treatment 5 3 2Haste 2 1 1

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Keywords All R N or URx, plan mismatch 43 18 25Shifts 30 13 17Plan quality 26 12 14Communication 19 14 5Human data transfer 14 14 0Gating 12 10 2Laterality 11 1 10Previous treatment 10 5 5Emergent treatment 5 3 2Haste 2 1 1

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Rx, plan mismatchRx, plan mismatch

• 10 of the 18 events that reached the patient involved dose/fraction other than intended- 7/10 got through physics check

• Biggest error: 2 Gy/fraction planned but 6 Gy/fraction was intended

• 10 of the 18 events that reached the patient involved dose/fraction other than intended- 7/10 got through physics check

• Biggest error: 2 Gy/fraction planned but 6 Gy/fraction was intended

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The patient was to receive radiation therapy to his right shoulder for his painful bone metastasis. The dosimetrist received a verbal order from the Radiation Oncologist for a dose of "12 in 2". The dosimetrist wrote the written directive for 6 treatments of 200 cGy each for a total of 1200 cGy. The written directive was then approved by the Radiation Oncologist. The plan should have been 2 treatments of 600 cGy each for a total of 1200 cGy. Found at chart rounds. The patient had already received 2 fractions at 200cGy each. The Radiation Oncologist decided to give him one additional treatment of 600 cGy and finish his course of treatment.

“12 in 2”“12 in 2”

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Lessons …Lessons …

• From the event …- Failure modes- Safety barriers that worked or didn’t- Could this happen to you?

• About RO-ILS …- Patterns can direct attention- Useful information comes from the

narratives

• From the event …- Failure modes- Safety barriers that worked or didn’t- Could this happen to you?

• About RO-ILS …- Patterns can direct attention- Useful information comes from the

narratives

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How missed All R N or UPhysicist missed 74 32 42IGRT failed to catch or caused 9 9 0

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CBCT IssuesCBCT Issues

2015 Q2

2015 Q3

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Recommendations …Recommendations …

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Keywords All R N or URx, plan mismatch 43 18 25Shifts 30 13 17Plan quality 26 12 14Communication 19 14 5Human data transfer 14 14 0Gating 12 10 2Laterality 11 1 10Previous treatment 10 5 5Emergent treatment 5 3 2Haste 2 1 1

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30 shift events30 shift events

• 9 had shift values transcribed incorrectly

• 4 had shift directions transcribed incorrectly

• 6 were caught by physics• 13 were missed by physics• 13 reached the patient

• 9 had shift values transcribed incorrectly

• 4 had shift directions transcribed incorrectly

• 6 were caught by physics• 13 were missed by physics• 13 reached the patient

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30 shift events30 shift events

• 9 had shift values transcribed incorrectly

• 4 had shift directions transcribed incorrectly

• 6 were caught by physics• 13 were missed by physics• 13 reached the patient

• 9 had shift values transcribed incorrectly

• 4 had shift directions transcribed incorrectly

• 6 were caught by physics• 13 were missed by physics• 13 reached the patient

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Issues so far …Issues so far …

• Many reports are too sparse to be useful to outsiders- “Patient was treated 3.0 cm to the

right of the planned isocenter for one fraction.”

- No indication of how, why• As more reports come in, harder for 8

people to do the reviews

• Many reports are too sparse to be useful to outsiders- “Patient was treated 3.0 cm to the

right of the planned isocenter for one fraction.”

- No indication of how, why• As more reports come in, harder for 8

people to do the reviews

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Improvements on the wayImprovements on the way

• Data elements are being condensed and clarified

• Inter-rater reliability study has been done- 12 fictional events reviewed by >30

people

• Data elements are being condensed and clarified

• Inter-rater reliability study has been done- 12 fictional events reviewed by >30

people

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Improvements on the wayImprovements on the way

• AAPM WG is working on a User Guide to help explain- What is needed in a narrative- How to classify events

• AAPM WG is working on a User Guide to help explain- What is needed in a narrative- How to classify events

“Physics plan check found that the shift instructions were incorrect: 0.9 cm anterior instead of posterior. Corrected before treatment” Near-miss or Unsafe condition?

“Shift instructions were were incorrect: 0.9 cm anterior instead of posterior. Found at initial IGRT and corrected” Near-miss or Reached the patient?

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Improvements on the wayImprovements on the way

• Quarterly reports will have slide set to use in local discussions- Could this happen here?

• Mapping process is being developed so that existing systems can send selected events to RO-ILS

• Quarterly reports will have slide set to use in local discussions- Could this happen here?

• Mapping process is being developed so that existing systems can send selected events to RO-ILS

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How to beginHow to begin

• Go to ASTRO.org- Search for ROILS- Download the Participation Guide- Review the helpful FAQs

• Go to ASTRO.org- Search for ROILS- Download the Participation Guide- Review the helpful FAQs

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Let’s do some SAMs and then ask …Let’s do some SAMs and then ask …

• How could RO-ILS be helpful to you?• What do you want to see from the

system?

• How could RO-ILS be helpful to you?• What do you want to see from the

system?

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RO-ILS …

20%

20%

20%

20%

20% 1. Requires purchasing software2. Requires a contract to be signed3. Is the only PSO option4. Directly connects to your EMR5. Requires an annual fee

10

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RO-ILS …

20%

20%

20%

20%

20% 1. Requires purchasing software2. Requires a contract to be signed3. Is the only PSO option4. Directly connects to your EMR5. Requires an annual fee

10

Hoopes, et al. RO-ILS: Radiation Oncology Incident Learning System: A report from the first year of experience. PRO (2015) 5, 312-318

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RO-ILS went live in June, 2014. By February, 2016, the number of reports

entered was

20%

20%

20%

20%

20% 1. 10 - 502. 100 - 2503. 500 - 7504. 750 - 10005. > 1000

10

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RO-ILS went live in June, 2014. By February, 2016, the number of reports

entered was

20%

20%

20%

20%

20% 1. 10 - 502. 100 - 2503. 500 - 7504. 750 - 10005. > 1000

10

RO-ILS Quarterly Reports on ASTRO website: https://www.astro.org/Clinical-Practice/Patient-Safety/ROILS/Index.aspx

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The workflow step most commonly identified as the source of the reported event is

20%

20%

20%

20%

20% 1. Pre-simulation2. Imaging and Simulation3. Treatment Planning4. Pre-treatment QA Review5. Treatment

10

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The workflow step most commonly identified as the source of the reported event is

20%

20%

20%

20%

20% 1. Pre-simulation2. Imaging and Simulation3. Treatment Planning4. Pre-treatment QA Review5. Treatment

10

Hoopes, et al. RO-ILS: Radiation Oncology Incident Learning System: A report from the first year of experience. PRO (2015) 5, 312-318PlusRO-ILS Quarterly Reports on ASTRO website: https://www.astro.org/Clinical-Practice/Patient-Safety/ROILS/Index.aspx

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What do you want from RO-ILS?What do you want from RO-ILS?

• How could RO-ILS be helpful to you?• What do you want to see from the

system?

• How could RO-ILS be helpful to you?• What do you want to see from the

system?