Joseph Randall Moorman

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Joseph Randall Moorman (born April 4, 1953) is an American physician-scientist. He is bicentennial Professor of Advanced Medical Analytics at the University of Virginia School of Medicine.

Early life and education[edit]

Moorman is the younger son of Ruth, classicist and professor at the University of Southern Mississippi, and Charles W. Moorman III, medievalist and dean at the University of Southern Mississippi. His brother is former Norfolk Southern and Amtrak CEO Charles Moorman.[1]

Moorman grew up in Hattiesburg, Mississippi. He received his undergraduate degree from the University of Mississippi and his M.D. from University of Mississippi School of Medicine. In 1978, Moorman began his medical internship at Duke University Medical Center,[2] where he served as Chief Resident from 1982-1983 and Cardiology Fellow from 1983-1985. He then finished his post-doctoral research training in membrane biophysics and molecular electrophysiology at Baylor University.[3]

Career and research[edit]

From 1985-1990, Moorman was Assistant Professor of Medicine at the University of Texas Medical Branch and worked in the laboratory of Arthur M. Brown at Baylor College of Medicine.[4]

In 1990, he joined the faculty of the University of Virginia School of Medicine.[5]

From 2014 to 2019, he was Editor-in-Chief of Physiological Measurement. [4]

From 2014 to 2021, he was Chief Medical Officer of AMP3D (Advanced Medical Predictive Devices, Diagnostics, and Displays)[6] before the company's acquisition by Nihon Kohden.[7]

In 2014, he and DE Lake were named Edlich-Henderson  Innovators of the Year by the University of Virginia Licensing and Ventures Group. [8]

In 2017, he was keynote speaker for the Association for the Advancement of Medical Instrumentation Annual Conference.[9]

Scientific contributions[edit]

Molecular electrophysiology of ion channels[edit]

While at Baylor College of Medicine, Moorman studied the biophysical properties of cloned ion channel proteins expressed in heterologous systems.[10][11]

At the University of Virginia, Moorman and coworkers discovered a unique channel activity for the molecule phospholemman (PLM, also FXYD1).[12][13]

Entropy estimation in clinical time series[edit]

In 2000, Moorman and JS Richman introduced sample entropy as a measure of complexity in dynamical systems.[14] This method has been successfully used to test for non-linear dynamics and temporal predictability in many systems.[15][16][17] In 2011, he and DE Lake developed the  coefficient of sample entropy for use in detecting atrial fibrillation.[18]

Early detection of subacute potentially catastrophic illnesses[edit]

In 2001, he and MP Griffin demonstrated unique changes in heart rate characteristics (HRC) prior to the diagnosis of sepsis in premature infants.[19] They and their coworkers devised the HRC Index, the relative risk of illness in the next 24 hours, and showed 22% relative reduction in death rates in one of the largest randomized trials in neonatology. This work was the first effective use of Big Data and Machine Learning to save lives,[20][21][22] and was recognized as one of the top 12 scientific discoveries in the past 50 years at the University of Virginia.[23][24][25]

[26] Moorman and coworkers went on to develop and validate multiple Machine Learning models for early detection of illness throughout the hospital. [27] Advanced Medical Predictive Devices, Diagnostics and Devices (AMP3D),[28][29] a Charlottesville, VA, small business, licensed the intellectual property from the University of Virginia Licensing and Ventures Group, developed and implemented the Continuous Monitoring of Event Trajectories (CoMET) [30] display, and was acquired in 2021 by Nihon Kohden Digital Health Solutions in Irvine, CA, a subsidiary of Nihon Kohden Corporation, Japan-based maker of medical devices.

Published works[edit]

According to ResearchGate, Moorman has written and co-written 229 peer-reviewed publications.

References[edit]

  1. ^ "Moorman STEM Jump Scholarship | Student Success | The University of Southern Mississippi". www.usm.edu. Retrieved 2023-11-12.
  2. ^ "A Special Welcome". Duke Department of Medicine. 2018-07-30. Retrieved 2023-11-12.
  3. ^ "Sepsis Alliance Institute: Early Detection of Sepsis Using AI-Based Predictive Analytics Monitoring". learn.sepsis.org. Retrieved 2023-11-14.
  4. ^ a b iopp (2013-06-06). "Physiological Measurement appoints Randall Moorman as new Editor-in-Chief". IOP Publishing. Retrieved 2023-11-12.
  5. ^ "Moorman, Joseph Randall". Research Faculty Directory. Retrieved 2023-11-14.
  6. ^ "AMP3D Company Profile". MedTech Innovator. Retrieved 2023-11-12.
  7. ^ "Nihon Kohden to Elevate Advancements Towards Improved Patient Outcomes with the Acquisition of AMP3D". us.nihonkohden.com. Retrieved 2023-11-12.
  8. ^ "Heart of the Matter: Cardiologist Honored for Tool that Detects Infections in Infants | UVA Today". news.virginia.edu. 2014-04-08. Retrieved 2023-11-14.
  9. ^ Post, Dan Bowman Twitter Dan is an editor focusing on healthcare technology His experience includes stints with newspapers including the Washington; Times, the Washington. "AAMI 2017: Predictive Analytics Bolsters Clinical Decision Support". Technology Solutions That Drive Healthcare. Retrieved 2023-11-14. {{cite web}}: |first1= has generic name (help)
  10. ^ Moorman, J. Randall; Kirsch, Glenn E.; Brown, Arthur M.; Joho, Rolf H. (1990-11-02). "Changes in Sodium Channel Gating Produced by Point Mutations in a Cytoplasmic Linker". Science. 250 (4981): 688–691. Bibcode:1990Sci...250..688M. doi:10.1126/science.2173138. ISSN 0036-8075. PMID 2173138.
  11. ^ Moorman, J. Randall; Kirsch, Glenn E.; VanDongen, Antonius M. J.; Joho, Rolf H.; Brown, Arthur M. (1990-02-01). "Fast and slow gating of sodium channels encoded by a single mRNA". Neuron. 4 (2): 243–252. doi:10.1016/0896-6273(90)90099-2. ISSN 0896-6273. PMID 2155011. S2CID 18622631.
  12. ^ Wahid, Ahmad; JInca, Muhammad Yamin; Rachman, Taufiqur; Malisan, Johny (2023-11-08). "file:///C:/Users/MDPI/Downloads/preprints-89923-manuscript_layout_done_pdf.pdf". doi:10.20944/preprints202311.0503.v1. {{cite web}}: Missing or empty |url= (help)
  13. ^ Cheung, Joseph Y.; Zhang, Xue-Qian; Song, Jianliang; Gao, Erhe; Rabinowitz, Joseph E.; Chan, Tung O.; Wang, JuFang (August 2010). "Review Article : Phospholemman: A Novel Cardiac Stress Protein". Clinical and Translational Science. 3 (4): 189–196. doi:10.1111/j.1752-8062.2010.00213.x. ISSN 1752-8054. PMC 3013348. PMID 20718822.
  14. ^ Richman, J. S.; Moorman, J. R. (June 2000). "Physiological time-series analysis using approximate entropy and sample entropy". American Journal of Physiology. Heart and Circulatory Physiology. 278 (6): H2039–2049. doi:10.1152/ajpheart.2000.278.6.H2039. ISSN 0363-6135. PMID 10843903. S2CID 2389971.
  15. ^ Nazar, Yagshimammedov (2013). "Time series data analysis with sample entropy". {{cite journal}}: Cite journal requires |journal= (help)
  16. ^ Qiao, Yu; Li, Chengxiang; Hao, Shuzheng; Wu, Jun; Zhang, Liang (2022-10-25). "Deep or statistical: An empirical study of traffic predictions on multiple time scales". Proceedings of the SIGCOMM '22 Poster and Demo Sessions. New York, NY, USA: Association for Computing Machinery. pp. 10–12. doi:10.1145/3546037.3546048. ISBN 978-1-4503-9434-5. S2CID 253110370.
  17. ^ Kumar, Yatindra; Dewal, M. L. (April 2013). "Complexity Measures for Normal and Epileptic EEG Signals using ApEn, SampEn and SEN". International Journal of Computer and Communication Technology: 95–101. doi:10.47893/ijcct.2013.1175 (inactive 2024-04-24). ISSN 2231-0371.{{cite journal}}: CS1 maint: DOI inactive as of April 2024 (link)
  18. ^ Lake, Douglas E.; Moorman, J. Randall (January 2011). "Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices". American Journal of Physiology. Heart and Circulatory Physiology. 300 (1): H319–325. doi:10.1152/ajpheart.00561.2010. ISSN 1522-1539. PMID 21037227.
  19. ^ "Heart rate characteristics monitoring improves outcome in preemies". The Doctor's Channel. 2011-09-19. Retrieved 2023-11-28.
  20. ^ Fairchild, Karen D. (April 2013). "Predictive monitoring for early detection of sepsis in neonatal ICU patients". Current Opinion in Pediatrics. 25 (2): 172–179. doi:10.1097/MOP.0b013e32835e8fe6. ISSN 1040-8703. PMC 10989716. PMID 23407184. S2CID 22352132.
  21. ^ Fairchild, Karen D.; O'Shea, T. Michael (September 2010). "Heart rate characteristics: physiomarkers for detection of late-onset neonatal sepsis". Clinics in Perinatology. 37 (3): 581–598. doi:10.1016/j.clp.2010.06.002. ISSN 1557-9840. PMC 2933427. PMID 20813272.
  22. ^ "Algorithms improve monitoring of apnea in premature babies". William & Mary. Retrieved 2023-11-28.
  23. ^ "See A Sample of Amazing UVA Discoveries of the Past 50 Years | UVA Today". news.virginia.edu. 2018-09-28. Retrieved 2023-11-12.
  24. ^ admin (2011-08-25). "New monitor invented at UVA saving the lives of premature babies". UVA Health Newsroom. Retrieved 2023-11-12.
  25. ^ "Heart of the Matter: Cardiologist Honored for Tool that Detects Infections in Infants | UVA Today". news.virginia.edu. 2014-04-08. Retrieved 2023-11-12.
  26. ^ "Nihon Kohden acquires predictive algorithms provider AMP3D". NS Medical Devices. 2021-08-10. Retrieved 2023-11-12.
  27. ^ "Predictive analytics needs a bedside, rather than scientific, manner". Healthcare Finance News. Retrieved 2023-11-28.
  28. ^ "How UVA Created Artificial Intelligence to Watch Over Patients With COVID-19 | UVA Today". news.virginia.edu. 2021-01-21. Retrieved 2023-11-12.
  29. ^ Randall Moorman, J. (2022-03-31). "The principles of whole-hospital predictive analytics monitoring for clinical medicine originated in the neonatal ICU". npj Digital Medicine. 5 (1): 41. doi:10.1038/s41746-022-00584-y. ISSN 2398-6352. PMC 8971442. PMID 35361861.
  30. ^ Magazine, Smithsonian; Morrison, Jim. "How Doctors Are Using Artificial Intelligence to Battle Covid-19". Smithsonian Magazine. Retrieved 2023-11-28.
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