Technology—uncovering stories from noise
Megan Mahoney and Steve Lin
Family physicians attend to copious quantities of data. Their challenge is to do this without sacrificing the deep listening that is at the core of their healing work with patients. Technology can help.
Ruby, an 86-year-old Black woman from Ohio, is one of my (MM) favourite patients. I knew she had been a victim of insidious racism in the past, leaving clinics feeling dismissed. On our first visit, I casually said, ‘Ruby is my mother’s birthstone’ and she laughed. At her next appointment and each visit thereafter, she always said, ‘Here I am—Mother Birthstone.’ I cherished that I had earned her trust.
That trust was tested during the COVID-19 pandemic. When the shelter-in-place orders began, our healthcare system moved to telehealth visits. Ruby had limited medical literacy and practically no internet skills. Ruby and I were both worried about how to manage her heart condition and regulate her blood pressure online, and her initial response was one of fear and resistance.
Through self-reliance, resourcefulness and trust in me, Ruby became my poster child for digital adaptation. I was able to get her an iPad and teach her how to reach me. She learnt with remarkable speed how to keep track of her medications, monitor her blood pressure and stay in consistent communication. She successfully accepted her new digital reality with patience and tenacity.
Family doctors listen to a symphony of cues. Often their task is to sift through data, cut through noise and understand the ‘story’ of their patients. Luckily, the deep listening skills that family physicians use to build long-standing and trusting relationships make family medicine uniquely suited to embrace and lead the big data revolution.
We are at the pioneering stage of technology-enhanced care,21 and instead of technology creating distance between doctors and patients, the opposite can occur. For example, virtual visits offer doctors a glimpse into their patients’ worlds and increase patient comfort. Thus, virtual visits can reveal useful information and augment person-centred care when used appropriately.18
Also, healthcare systems have begun to pair remote patient-monitoring devices with ‘health coaches’ that are powered by AI, thus helping patients self-manage some of the costliest chronic diseases—diabetes, obesity, hypertension and depression among others—with outcomes that are comparable or superior to standard care.22
Yet while AI-powered healthcare technology is an example of human adaptation and ingenuity, it is not a substitute for the human interactions that lie at the heart of healing. AI simply presents another tool for family physicians to use to address patient concerns, provide access to medical care and continue building connections with patients. Adding data on social determinants of health—including neighbourhood, environment, language, transportation, income, social support and education—can also help family physicians incorporate information on rates of hospitalisation, risks of death and costs of care into practice, all while promoting health equity, a fundamental part of family medicine’s DNA.21
Integrating technology into the daily practice of family medicine takes training, awareness and commitment. The process starts with family physicians saying little more than, ‘I am here to help, and here are the tools I use to do that.’ Then the work—translating data into stories, stories into connections and connections into care—begins (figure 6).
Figure 6Technologically enhanced patient care.
Readings
Liaw W, Kakadiaris IA. Artificial intelligence and family medicine: better together. Fam Med 2020;52:8–10. https://doi.org/10.22454/FamMed.2020.881454
Liaw W, Kueper JK, Lin S, Bazemore A, Kakadiaris I. Competencies for the use of artificial intelligence in primary care. Ann Fam Med 2022;20:559–63. doi: 10.1370/afm.2887
Lin SY, Mahoney MR, Sinsky CA. Ten ways artificial intelligence will transform primary care. J Gen Intern Med 2019;34:1626–30. 10.1007/s11606-019-05035-1