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Schoenfeld, David

https://orcid.org/0000-0003-1948-3711

Mayo Clinic

Massachusetts General Hospital

Citations 5

Computer clinical decision support that automates personalized clinical care: a challenging but needed healthcare delivery strategy
Morris, Alan H. , Horvat, Christopher M. , Grainger, David W. , Orme, James F., Clemmer, Terry P., Weaver, Lindell K., Thomas, Frank O, Grissom, Colin K. , Hirshberg, Ellie , East, Thomas D. , Wallace, C. Jane, Young, Michael , Sittig, Dean F. , Pearl, James E., Pesenti, Antinio, Bombino, Michela, Beck, Eduardo, Sward, Katherine , Phansalkar, Shobha, Bernard, Gordon R. , Brower, Roy G., Truwit, Jonathon D. , Steingrub, Jay S. , Hiten, R Duncan, Willson, Douglas F., Randolph, Adrienne G. , Curley, Martha A. Q. , Newth, Christopher J. L. , Lacroix, Jacques, Agus, Michael S. D. , Lee, Kang Hoe, deBoisblanc, Bennett P., Moore, Frederick A. , Evans, R. Scott, Sorenson, Dean, Wong, Anthony, Boland, Michael V. , Dere, W. , Crandall, Alan S. , Huff, Stanley M. , Haug, Peter J. , Pielmeier, Ulrike , Rees, Stephen Edward , Karbing, Dan Stieper , Berger, Kenneth I. , Oppenheimer, Beno W. , Pickering, Brian W. , Schoenfeld, David , Tocino, Irena , Savitz, Lucy A., Dreyfuss, Didier, Slutsky, Arthur S. , Crapo, James D. , Pinsky, Michael R. , James, Brent C., Berwick, Donald M. , Sittig, Dean F , Sward, Katherine A , Weir, Charlene , Huff, Stanley M , Gonnering, Russell S , Randolph, Adrienne G , Stagg, Brian C. , Lanspa, Michael J. , Suchyta, Mary R. , Thompson, Bruce , Zimmerman, Jerry J. , Nadkarni, Vinay , Facelli, Julio Cesar , Andreassen, Steen , Fan, Eddy , Goldring, Roberta M. , Ely, Eugene Wesley , Pronovost, Peter J.

Journal of the American Medical Informatics Association | September 20, 2022 | Volume: 30 | Issue: 1 | Pages: 178-194

10.1093/jamia/ocac143 Get It

AbstractHow to deliver best care in various clinical settings remains a vexing problem. All pertinent healthcare-related questions have not, cannot, and will not be addressable with costly time- and resource-consuming controlled clinical trials. At present, evidence-based guidelines can address only a small fraction of the types of care that clinicians deliver. Furthermore, underserved areas rarely can access state-of-the-art evidence-based guidelines in real-time, and often lack the wherewithal to implement advanced guidelines. Care providers in such settings frequently do not have sufficient training to undertake advanced guideline implementation. Nevertheless, in advanced modern healthcare delivery environments, use of eActions (validated clinical decision support systems) could help overcome the cognitive limitations of overburdened clinicians. Widespread use of eActions will require surmounting current healthcare technical and cultural barriers and installing clinical evidence/data curation systems. The authors expect that increased numbers of evidence-based guidelines will result from future comparative effectiveness clinical research carried out during routine healthcare delivery within learning healthcare systems.
Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions
Morris, Alan H. , Orme, James F., Clemmer, Terry P., Weaver, Lindell K., Thomas, Frank, Grissom, Colin K. , Hirshberg, Ellie , East, Thomas D. , Wallace, C. Jane, Young, Michael , Sittig, Dean F. , Bombino, Michela, Beck, Eduardo, Sward, Katherine , Phansalkar, Shobha, Bernard, Gordon R. , Brower, Roy G., Truwit, Jonathon D. , Steingrub, Jay, Willson, Douglas F., Randolph, Adrienne G. , Curley, Martha A. Q. , Newth, Christopher J. L. , Lacroix, Jacques, Agus, Michael S. D. , Lee, Kang H., deBoisblanc, Bennett P., Evans, R. Scott, Sorenson, Dean, Wong, Anthony, Boland, Michael V. , Grainger, David W. , Dere, W. , Crandall, Alan S. , Huff, Stanley M. , Haug, Peter J. , Pielmeier, Ulrike , Rees, Stephen Edward , Karbing, Dan Stieper , Goldring, Roberta M. , Berger, Kenneth I. , Oppenheimer, Beno W. , Pickering, Brian W. , Schoenfeld, David , Tocino, Irena , Savitz, Lucy A., Dreyfuss, Didier, Slutsky, Arthur S. , Crapo, James D. , Pinsky, Michael R. , James, Brent C., Berwick, Donald M. , Sittig, Dean F , Weir, Charlene , Randolph, Adrienne G , Sward, Katherine A , Stagg, Brian C. , Lanspa, Michael J. , Pesenti, Antonio Maria , Thompson, Bruce , Hite, R. Duncan , Zimmerman, Jerry J. , Nadkarni, Vinay , Facelli, Julio Cesar , Andreassen, Steen , Fan, Eddy , Ely, Eugene Wesley , Gajic, Ognjen , Gonnering, Russell S , Pronovost, Peter J. , Angus, Derek C.

Journal of the American Medical Informatics Association | November 11, 2020 | Volume: 28 | Issue: 6 | Pages: 1330-1344

10.1093/jamia/ocaa294 Get It

AbstractClinical decision-making is based on knowledge, expertise, and authority, with clinicians approving almost every intervention—the starting point for delivery of “All the right care, but only the right care,” an unachieved healthcare quality improvement goal. Unaided clinicians suffer from human cognitive limitations and biases when decisions are based only on their training, expertise, and experience. Electronic health records (EHRs) could improve healthcare with robust decision-support tools that reduce unwarranted variation of clinician decisions and actions. Current EHRs, focused on results review, documentation, and accounting, are awkward, time-consuming, and contribute to clinician stress and burnout. Decision-support tools could reduce clinician burden and enable replicable clinician decisions and actions that personalize patient care. Most current clinical decision-support tools or aids lack detail and neither reduce burden nor enable replicable actions. Clinicians must provide subjective interpretation and missing logic, thus introducing personal biases and mindless, unwarranted, variation from evidence-based practice. Replicability occurs when different clinicians, with the same patient information and context, come to the same decision and action. We propose a feasible subset of therapeutic decision-support tools based on credible clinical outcome evidence: computer protocols leading to replicable clinician actions (eActions). eActions enable different clinicians to make consistent decisions and actions when faced with the same patient input data. eActions embrace good everyday decision-making informed by evidence, experience, EHR data, and individual patient status. eActions can reduce unwarranted variation, increase quality of clinical care and research, reduce EHR noise, and could enable a learning healthcare system.
SAT-737 Low-Dose Testosterone Augmentation for Treatment-Resistant Depression in Women: An 8-Week, Two-Site, Randomized, Placebo-Controlled Study
Dichtel, Laura E. , Carpenter, Linda L. , Nyer, Maren , Mischoulon, David , Kimball, Allison , Deckersbach, Thilo , Schoenfeld, David , Fisher, Lauren , Cusin, Cristina , Farabaugh, Amy, Papakostas, George I. , Rao, Elizabeth M. , Brady, Roscoe O. , Tyrka, Audrey R. , Price, Lawrence H. , Fava, Maurizio , Miller, Karen K. , Dougherty, Darin Dean , Trinh, Nhi‐Ha , Pedrelli, Paola , Yeung, Albert , Chang, Trina E. , Chen, Justin Albert , Cassano, Paolo , Singh, Ravinder J.

Journal of the Endocrine Society | May 8, 2020 | Volume: 4 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvaa046.081 Get It

Abstract Objective: Nonresponse to selective serotonin reuptake inhibitor and serotonin norepinephrine reuptake inhibitor treatment is common in patients with major depressive disorder (MDD), particularly in women, occurring in about 70% of patients despite adequate dosing. Well-tolerated augmentation strategies are needed, particularly ones that do not cause or exacerbate symptoms such as fatigue and sexual dysfunction. Low-dose testosterone has been shown to improve depression symptom severity, fatigue and sexual function in small studies of women not formally diagnosed with MDD. We sought to determine whether adjunctive low-dose transdermal testosterone improves depression symptom severity, fatigue, and sexual function in women with treatment-resistant MDD. A functional MRI (fMRI) substudy examined effects of testosterone on activity in the anterior cingulate cortex (ACC), a brain region important in mood regulation. Methods: Randomized, double-blind, placebo-controlled, 8-week trial of adjunctive testosterone cream (AndroFeme® 1, Lawley Pharmaceuticals, Australia) in 101 women, ages 21–70, with treatment-resistant MDD. Testosterone was titrated to achieve blood levels near the upper normal reference limit. Primary outcome measure was depression severity by Montgomery-Asberg Depression Rating Scale (MADRS). Secondary endpoints included fatigue, sexual function, and safety measures. fMRI substudy (n=20) primary outcome was change in ACC activity. Results: Mean age was 47±14 (SD) years and mean baseline MADRS score was 26.6±5.9. Eighty-seven (86%) participants completed 8 weeks of treatment. MADRS depression scores decreased in both arms [testosterone: 26.8±6.3 to 15.3±9.6; placebo: 26.3±5.4 to 14.4±9.3 (baseline to 8 weeks, respectively)], with no difference between groups (p=0.91). Fatigue and sexual function improved without differences between groups. There were no group differences in side effects. fMRI results demonstrated a relationship between ACC activation and androgen levels pretreatment but no difference in ACC activation with treatment. Conclusions: This rigorously designed, double-blinded clinical trial did not find significant group differences between adjunctive low dose transdermal testosterone and placebo for antidepressant augmentation in women with treatment-resistant MDD and had a high placebo response rate. Low-dose testosterone was well tolerated but failed to differentially impact overall depressive symptom severity, fatigue, or sexual dysfunction. Testosterone did not result in greater activity in a brain region (ACC) implicated in MDD etiopathology compared to placebo. Thus, the addition of low-dose testosterone to ineffective antidepressant treatment should not be recommended for women with MDD. Further studies using strategies designed to reduce placebo effects may be warranted.
Global TravEpiNet: A National Consortium of Clinics Providing Care to International Travelers—Analysis of Demographic Characteristics, Travel Destinations, and Pretravel Healthcare of High-Risk US International Travelers, 2009–2011
LaRocque, Regina C. , Rao, Sowmya R. , Ansdell, Vernon, Yates, Johnnie, Schwartz, Brian S. , Knouse, Mark, Cahill, John D. , Hagmann, Stefan , Vinetz, Joseph M. , Connor, Bradley A., Goad, Jeffery A. , Oladele, Alawode, Álvarez, Salvador, Stauffer, William M. , Walker, Patricia F., Kozarsky, Phyllis E., Franco‐Paredes, Carlos , Dismukes, Roberta, Rosen, Jessica , Hynes, Noreen A. , Jacquérioz, Frédérique , McLellan, Susan , Hale, DeVon C., Sofarelli, Theresa A., Schoenfeld, David , Marano, Nina , Brunette, Gary W., Jentes, Emily S. , Yanni, Emad , Sotir, Mark J., Ryan, Edward T. , Lee, Jennifer

Clinical Infectious Diseases | December 6, 2011 | Volume: 54 | Issue: 4 | Pages: 455-462

10.1093/cid/cir839 Get It

Beyond Mortality: Future Clinical Research in Acute Lung Injury
Spragg, Roger G., Bernard, Gordon R. , Checkley, William , Gajić, Ognjen, Hall, Jesse B., Israel, Elliott, Jain, Manu , Needham, Dale M. , Randolph, Adrienne G. , Rubenfeld, Gordon D., Schoenfeld, David , Ware, Lorraine B. , Young, Duncan , Harabin, Andrea L., Curtis, J. Randall , Guyatt, Gordon , Thompson, Bruce , Randolph, Adrienne G

American Journal of Respiratory and Critical Care Medicine | March 11, 2010 | Volume: 181 | Issue: 10 | Pages: 1121-1127

10.1164/rccm.201001-0024ws Get It

Abstract Mortality in National Heart, Lung and Blood Institute–sponsored clinical trials of treatments for acute lung injury (ALI) has decreased dramatically during the past two decades. As a consequence, design of such trials based on a mortality outcome requires ever-increasing numbers of patients. Recognizing that advances in clinical trial design might be applicable to these trials and might allow trials with fewer patients, the National Heart, Lung and Blood Institute convened a workshop of extramural experts from several disciplines. The workshop assessed the current state of clinical research addressing ALI, identified research needs, and recommended: (1) continued performance of trials evaluating treatments of patients with ALI; (2) development of strategies to perform ALI prevention trials; (3) observational studies of patients without ALI undergoing prolonged mechanical ventilation; and (4) development of a standardized format for reporting methods, endpoints, and results of ALI trials.