Increase Spinal Surgery 63% for Orthopedic and Neurosurgery, using On-line Questionnaires from Johns Hopkins Hospital Doctors
This webinar introduces an internet-based questionnaire that predicts medical abnormalities with 95% and 85%-100% accuracy, developed by Johns Hopkins Hospital doctors. It saves time and eliminates typing for physicians, aiding in preventing fraudulent diagnoses.
Date:
Thursday, July 10, 2025
Time:
08:00 AM PDT | 11:00 AM EDT
Duration:
60 Minutes
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Product Id : 507172
Price Details
Live: One Dial-in One Attendee
Corporate Live: Any number of participants
Recorded: Access recorded version, only for one participant unlimited viewing for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Corporate Recorded: Access recorded version, Any number of participants unlimited viewing for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)
Overview:
Will instruct attendees on use of a questionnaire available over the Internet, which can predict the presence of abnormal medical testing with 95% accuracy, and predict who will not have medical abnormalities with 85%-100% accuracy.
It gives diagnoses with a 96% correlation with those of Johns Hiopkins Hospital doctors and results can be copied and pasted into the chart, thereby eliminating typing and dictation.
Why should you Attend:
Patients who do not get well are often called as "fraudulent" when in fact they are misdiagnosed 40%-80% of the time. This lecture will explain methods used by Johns Hoipkins Hospital to detect patients with a valid complaint of pain, This questionnaire was developed by Johns Hopkins Hospital doctors, and has always has been admitted as evidence in 9 states, in over 30 cases. It takes only 5 minutes of secretarial time to administer over the Internet.
Once the valid complaint of pain has been established, additional medical intervention was indicated. The chairman of neurosurgery at Johns Hoopkins Hospital evaluated 70 patients "diagnosed" with whiplash or sprains, because their MRI,. CT and X-rays were normal. These patients were given an Internet based questionnaire which produces diagnoses with a 96% correlation with diagnoses of Johns Hopkins Hospital doctors. Then, based on these diagnoses, the results recommend testing using the Johns Hopkins Hospital protocols.
These results can be copied and pasted into the chart, eliminating typing and dictation for the physician, and saving a lot of time. When the recommendations were followed, 95% of the patients previously diagnosed with whiplash needed interventional tests, such as facet blocks and root blocks. When these tests were performed, 63% of the patients needed spinal surgery.
Areas Covered in the Session:
- Questionnaire from Johns Hopkins Hospital doctors takes only 5 minutes of staff time to administer over the Internet. It identifies who has a valid complaint of pain, and who will need additional testing and procedures foe insurance pre-authorization, and can predict intra-operative finding with 100% accuracy
Who Will Benefit:
- Office Managers of Doctors Offices
- Doctors
Speaker Profile
Nelson Hendler The instructor is a former assistant professor of neurosurgery and psychiatry at Johns Hopkins University School of Medicine. He was past president of the American Academy of Pain Management, and the Reflex Sympathetic Dystrophy Association of America. He has published 5 books, 33 medical text-book chapters, and 75 articles. He has been asked to testify on medical issues before the US Senate on three occasions. He has testified in 300 depositions and 75 trials in 10 states, for both the plaintiff and defense, and lectured at over 60 medical schools and hospitals in 10 countries, including KEMPORAN, the consortium of health care carriers in Japan, Al Kaharj Military Hospital in Saudi Arabia, at the invitation of the Minister of Health, and was the first honorary member of the Israeli Pain Society. He has also been on the board of directors of two multi-billion dollar public companies -a bank and an insurance company.