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Faculty LeadCategoryProject Description (1-2 sentences)Contact
Anything else to know? (Expectations, multi-site, sponsored, etc.)
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Jessie KittleClinical Medicinehypnosis for symptom management, would include the option to get certified to perform hypnosis jkittle@stanford.edu
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Jeff ChiMachine Learning/AI/EHR MiningEHR related workjchi1@stanford.edu
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Charles LiaoQuality ImprovementPost acute care facilities and resources: creating educational content for physicians as well as patients/caregivers

cliao9@stanford.edu
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Charles LiaoQuality ImprovementSNF telemedicine: Does a urgent care telemedicine visit prevent SNF patients from utilizing SHC ED and therefore inpatient /observation admissions?cliao9@stanford.edu
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Charles LiaoQuality ImprovementReadmissions/Transitions of Care: Does setting up an appointment before discharge help reduce readmissions?cliao9@stanford.edu
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Charles LiaoQuality ImprovementHomeless transitions of care: how can we better utilize the discharge process / AVS to serve our homeless patients?cliao9@stanford.edu
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Andre KumarClinical ResearchClinical trials: I am the PI for several NIH-funded clinical trials in Long-COVIDakumar3@stanford.edu
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Andre KumarClinical Research, Machine Learning/AI/EHR Mining
POCUS: I am doing various research projects related to POCUS, including AI, COVID-19, and clinical efficacy/cost effectiveness.
akumar3@stanford.edu
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Andre KumarMedical EducationI am looking at inequities in evaluations for female and URM residents (are there differrences in narrative portions of evaluations?) This is funded through the GME department.
I also have all of the GME's evaluations across all programs for the past 10 years. There's lots of projects we can do with that data.

akumar3@stanford.edu
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Will CollinsClinical Researchclinical trial work - I have a strong interest in participating in clinical trials particularly inpatient trials. can always discuss potential roles for folks interested in this type of work.wjcollin@stanford.edu
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Eric StrongSocial MediaStrong Medicine - A YouTube channel dedicated to providing free, on-demand, high quality educational videos to healthcare professionals and those in training from around the world. For the last 10 years, this has been a one person operation, but I would love to have students or residents assist with creating more videos and potentially other formats of content. And I would equally love to help a motivated student or resident start an independent, educational YouTube channel of their own. Strong Medicine does generate a *very* small amount of income, so if someone wanted to work directly on Strong Medicine (rather than creating an independent channel), it would require a discussion with the residency program +/- GME office to ensure that the work conformed to policies regarding housestaff labor and compensation.estrong@stanford.edu
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David SvecMedical EducationTeach Stanford Healthcare Consulting Group class with Jason Hom/Lisa Shieh/Ed Sheen/Laura Derry/Greg Auda - multiple quarters / project and would be great to have SHAPE residents help supervise projectsdsvec@stanford.edu
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David SvecQuality ImprovementMultiple projects in Patient Safety, Quality, Performance Improvement at Stanford Tri-Valleydsvec@stanford.edu
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Jason HomMachine Learning/AI/EHR MiningUsing AI to automate various aspects of clinical documentation. jasonhom@stanford.edu
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Ritu ParikhMedical EducationEducation/Patient Care

Working on a project to provide learners with real time patient feedback to help improve communication skills. We are hoping to make this feedback more objective by having an independent research assistant or another individual solicit feedback rather than the learners themselves.		parikhr@stanford.edu
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Ron LiMachine Learning/AI/EHR Mining1) Improving advance care planning with artificial intelligence We are designing, implementing, and evaluating novel workflows enabled by a machine learning model to improve inpatient advance care planning. Ongoing work includes workflow design, implementation/change management, and evaluation with a prospective study. ronl@stanford.edu
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Ron LiMachine Learning/AI/EHR Mining2) Detecting unanticipated clinical decisions downstream of EHR sepsis alerts We are using data mining to detect ordering patterns downstream of sepsis alert firings. Ongoing work includes interpretation of mined ordering patterns, chart review and validation. ronl@stanford.edu
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Ron LiMachine Learning/AI/EHR Mining

3) Characterizing ordering patterns after drug allergy alerts for patients with documented beta lactam allergies. We are mining the EHR to understand how drug allergy alerts affect how physicians order antibiotics for patients with documented beta lactam allergies, and how often alternate antibiotics are inappropriately ordered for patients who otherwise could tolerate beta lactams. We are also planning to design and implement and clinical decision support tool to help physicians identify patients with documented allergies who could otherwise tolerate beta lactams.		ronl@stanford.edu
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Samantha WangHealth Equity/Community, Medical EducationQuantitative analysis of educational interventions on pre/post surveyswangxy@stanford.edu
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Samantha WangMedical EducationQualitative analysis from focus groups and interviews on teaching racial justice at the bedside; wangxy@stanford.edu
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Machine Learning/AI/EHR MiningCommunication: Outcomes study of ACP conversations on flagged EMR patients in hospital medicine and oncology wangxy@stanford.edu
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Samantha WangHealth Equity/Community, Medical EducationDescriptive analysis of online CME course in DEI; wangxy@stanford.edu
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Jonathan ChenMachine Learning/AI/EHR MiningDeveloping and implementing predictive models for clinical decision support around diagnostic test order utilization. Some for efficiency, such as identifying which repeated tests are unlikely to yield a new abnormal result. Other targeted applications, including predicting blood/urine culture results to guide empiric antibiotic therapy, requires reviewing charts to provide expert clinical labels of whether you assess the patient had a "real" infection that warranted antibiotics or not, then collaborating with computational students/post-docs to train models to learn and inform those processes. jonc101@stanford.edu
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Jonathan ChenMachine Learning/AI/EHR MiningMultiple applied projects around specialty referral optimization and applications of language models (chatbot technology) in healthcare, e.g., automated digital/electronic consultation responses, chart biopsy/summarization, dynamic patient intake questions.jonc101@stanford.edu
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Lisa ShiehQuality ImprovementWorking SHC palo alto system wide to reduce readmissions and decrease LOSlshieh@stanford.edu
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Lisa ShiehQuality Improvement, Clinical MedicineReduction of hospital associated infectionslshieh@stanford.edu
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Lisa ShiehQuality ImprovementHigh value care- appropriate use of telemetry, IICU, labslshieh@stanford.edu
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Lisa ShiehMedical Education, Quality ImprovementUpdating Septris online game to international platform (collaborator in France)lshieh@stanford.edu
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Lisa ShiehMachine Learning/AI/EHR Mining, Quality ImprovementUsing AI to improve opportunity to rescue (eg. clinical deterioration, sepsis). Opportunity tto work with industry AI lshieh@stanford.edu
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Kathleen JiaQuality ImprovementWorking with Stanford ValleyCare hospital opiate stewardship committee to develop updated AVS for patients including contacts in case of opiate overdose or dependence. Tracking inpatient opiate use and discharge prescriptionskjia@stanford.edu
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Neera AhujaClinical MedicineI have data on Malignancy rates post covid & impact of a workplace violence reduction program (DART) that I am happy to collaborate with a resident onnkahuja@stanford.edu
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Ashwin NayakMachine Learning/AI/EHR MiningCurrently working on several projects involving Large Language Models. We are always in need of clinicians who can help inform prompt design and evaluate model outputs for various use cases.aknayak@stanford.edu
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Christine SantiagoMedical Education, Health Equity/CommunityBuilding out a re-entry medicine rotation for IM residents, could help work on curriculum development or piloting rotation csantia2@stanford.edu
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Christine SantiagoHealth Equity/CommunityPatients w/ housing insecurity, screening and coordination w/ local community partners e.g opportunity center csantia2@stanford.edu
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Christine SantiagoClinical Research, Health Equity/CommunityFood insecurity screening for patients and assessment of outcomes e.g. re-admissionscsantia2@stanford.edu
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Christine SantiagoHealth Equity/CommunityHealth equity/ disparities newsletter csantia2@stanford.edu
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Christine SantiagoHealth Equity/CommunityAssessing the landscape: compiling health equity work and community partners for common use and distribution to share best practices in care and discharge for vulnerable patientscsantia2@stanford.edu
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Stephen MaMachine Learning/AI/EHR MiningEvaluating the readmission risk model in Epic and whether or not patient interactions in MyHealth can be used to improve prediction of preventable readmissions and better direct resources for interventionspma@stanford.edu
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Stephen MaMachine Learning/AI/EHR MiningScalable evaluation of AI-generated draft messages in terms of safety, empathy, biasspma@stanford.edu
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Stephen MaMachine Learning/AI/EHR MiningEvaluation of the impact of ambient scribes on clinician wellness/productivity/training and patient clinical outcomesspma@stanford.edu
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Stephen MaMachine Learning/AI/EHR MiningEvaluation of AI-generated draft result commentsspma@stanford.edu
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Stephen MaQuality ImprovementOptimizing EHR workflows for hospital medicinespma@stanford.edu
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Stephen MaQuality ImprovementOptimizing Voalte workflowsspma@stanford.edu
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Stephen MaMedical EducationData literacy curriculum developmentspma@stanford.edu
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Lijia XieMedical Education, Clinical ResearchDiagnostic Equity series of clinical reasoning workshops incorporating implicit bias recognition and management - delivering workshops, interviews or data analysislxie2@stanford.edu
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Lijia XieClinical ResearchPoetry in Medicine workshops, assessing effect of narrative poetry workshops on provider burn out and compassion lxie2@stanford.edu
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Jonathan DuongMedical EducationCurriculum development specific for a direct care hospital medicine rotation. Includes teaching basic hospital skills for preclinical students and residents, remediation, developing modules to teach hospitalist skills, and developing coaching skills for hospitalistsjduong1@stanford.edu
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Thomas LewMachine Learning/AI/EHR MiningSame projects as Jason Hom - using AI / machine learning to improve documentationtlew@stanford.edu
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Kevin KeetMedical EducationBuilding a longitudinal AI curriculum for the medicine residents with Poonam and Jasonkkeet@stanford.edu
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Kevin KeetMachine Learning/AI/EHR MiningStudying the AI curriculum we are building for Medicine Residentskkeet@stanford edu
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Bill FrederickQuality ImprovementAppropriate admission education and performance feedback to Service Lines
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Bill FrederickQuality ImprovementAppropriate admission status assignment of short-stay readmissions
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Bill FrederickQuality ImprovementLOS reduction - analysis of opportunities and service line engagement
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Matt AlkaitisClinical ResearchWhole Genome Sequencing for AML precursor conditionsalkaitis@stanford.edu
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Jeff KetchersidQuality ImprovementTelemetry Reduction project at TV for performance improvementjketch@stanford.edu
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Jeff KetchersidQuality ImprovementEscalation Pathway at TV for performance improvementjketch@stanford.edu
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Jeff KetchersidQuality ImprovementOpportunistic Imaging project at TV for enhanced diagnosis of MASLDjketch@stanford.edu
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Caitlin Parmer-ChowQuality Improvement, Health Equity/CommunityImproving Discharge Instruction Translationcmparmer@stanford.edu
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Caitlin Parmer-ChowMedical Education, Health Equity/CommunityWorkshop on Language Equity and Working with Interpreterscmparmer@stanford.edu
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Laura DerryClinical Research, Machine Learning/AI/EHR Mining, Quality ImprovementUse of AI with opportunistic imaging for disease detection and risk adjustment across multiple diseases - pilot at TV (with Jeff, Kathleen, Jason, David, Thomas, Andre), malnutrition, ascitesltderry@stanford.edu
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Laura DerryQuality Improvement, Clinical ResearchRetrospective review of outcomes in patients with HFrEF undergoing NCS at SHCltderry@stanford.edu
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Laura DerryQuality ImprovementReducing overuse of telemetry on the hospital medicine service lineltderry@stanford.edu
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