Dr. Patrik Bächtiger is an NIHR Academic Clinical Lecturer in Acute Internal Medicine, with a research focus on Digital Health. His work is based out of the National Heart and Lung Institute within Imperial’s White City Innovation District.
Patrik’s broad research portfolio has a particular focus on implementation science for technology-enabled health and healthcare. Going beyond studies that simply demonstrate the efficacy and effectiveness of technological innovations, Patrik’s interests are in conducting implementation research – studying and subsequently optimising the contextual factors that enable innovative, technology-enabled clinical pathways to be operationalised at scale. His work has been presented internationally, published in digital health outlets from Nature and The Lancet, and covered in national media outlets (The Guardian, iNews, Financial Times).
Patrik’s research is funded, as lead or co-investigator, by grants from the NIHR, Imperial BRC, British Heart Foundation, and Imperial Health Charity. This includes a first-in-kind implementation study of a point-of-care artificial intelligence technology applied to digital biomarkers for the detection of cardiovascular disease (TRICORDER cluster-RCT; NCT05987670). The wider implementation research portfolio includes, for example, investigation of virtual ward and longitudinal disease monitoring pathways through the NWL Virtual Hospital; novel diagnostic technology for obstructive sleep apnoea; large language models applied for patient empowerment; and wearable technology anchoring inclusive cardiac rehabilitation. Outcomes evaluation is increasingly powered by sector-level data assets such as Discover-NOW, where possible with the ambition of addressing a core outcome pentad considering clinical, health economic, patient-centric, workforce, and sustainability impacts.
All this work is underpinned by close collaboration with NHS partners, international academic colleagues, and industry partners, ranging from startups to big-tech companies. All research is patient-centric and engaged with patient charities/advocacy groups, further informed by Patrik’s experience creating and running the largest longitudinal participatory epidemiology study (LoC-19) to leverage an NHS patient portal, where collaborative outputs addressed important health policy questions.
Patrik was previously the UK’s first clinical research fellow in Digital Health, completing a PhD supervised by Professor Nicholas Peters through funding from Imperial Health Charity and NIHR. He completed his academic foundation training (laboratory sciences) at University College London; award-winning MSc research at Barts and The London School of Medicine; and Core Medical Training at King’s College Hospital. He was subsequently the recipient of a prestigious Harvard Knox Fellowship, the preeminent scholarship for UK citizens pursuing postgraduate study at Harvard University. He completed his Masters in Public Health (MPH, health policy and digital health concentration) while cross-registered at the Massachusetts Institute for Technology (MIT), Kennedy School of Government, and Harvard Medical and Business Schools. HIs practicum was supervised by Dr. Trishan Panch at Wellframe, which provides digital health management to tens of millions of patients in the US.
He continues to supervise PhD, MSc, and BSc students and maintains a broad and active teaching portfolio. His parallel clinical work is as a specialty registrar in Acute Internal Medicine at Imperial College Healthcare NHS Trust, where he is the first clinical academic for his sub-specialty.
et al., 2023, Identifying benefits and concerns with using digital health services during COVID-19: evidence from a hospital-based patient survey, Health Informatics Journal, Vol:29, ISSN:0965-8335
et al., 2023, Smartphone-based remote monitoring in heart failure with reduced ejection fraction: retrospective cohort study of secondary care use and costs, Jmir Cardio, Vol:7, ISSN:2561-1011
et al., 2023, Survival and health economic outcomes in heart failure diagnosed at hospital admission versus community settings: a propensity-matched analysis, Bmj Health & Care Informatics, Vol:30, ISSN:2632-1009
et al., 2023, Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?, Jmir Ai, Vol:2, Pages:e42940-e42940
et al., 2022, Reproducibility of use by physicians and patients of a smart stethoscope for artificial-intelligence enhanced diagnosis of heart failure, Scientific Sessions of the American-Heart-Association / Resuscitation Science Symposium, Lippincott, Williams & Wilkins, Pages:1-3, ISSN:0009-7322