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Everything you need to know about Computed Tomography (CT) & CT Scanning

Practice Management: Ai and Patient Care Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ Practice Management ❯ AI and Patient Care

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  • “In the hospital context, Alexa could become an integral feature of patient rooms because it would allow patients to change the channel on the television, listen to prerecorded physician instructions, find out when their next dose of medication is due, receive daily briefs on what to expect, and actively engage or respond to other aspects of their hospital stay.”
    Learning to Talk Again in a Voice-First World
    David Isbitski, Elliot K. Fishman, MD, Karen M. Horton, MD, Steven P. Rowe, MD, PhD
    J Am Coll Radiol. 2019 Aug;16(8):1123-1124
  • “After discharge, Alexa can aid communication between the patient and the medical team (eg, “Ask my doctor when I should change my dressing”). Through machine learning, it may be possible for Alexa to figure out what patients want to know but are reluctant to ask and can then provide that information up front.”
    Learning to Talk Again in a Voice-First World
    David Isbitski, Elliot K. Fishman, MD, Karen M. Horton, MD, Steven P. Rowe, MD, PhD
    J Am Coll Radiol. 2019 Aug;16(8):1123-1124
  • “Specifically for radiology, home artificial intelligence devices could prove to be a valuable tool for offering instructions to pa- tients on how to prepare for imaging examinations and what to expect when they arrive at an imaging center or hospital.”
    Learning to Talk Again in a Voice-First World
    David Isbitski, Elliot K. Fishman, MD, Karen M. Horton, MD, Steven P. Rowe, MD, PhD
    J Am Coll Radiol. 2019 Aug;16(8):1123-1124
  • “Integrating Alexa, or similar platforms, into everyday workflow may free the radiologist from many otherwise time-consuming tasks. For example, integrating artificial intelligence with voice technology into the phone network of the hospital would greatly speed the process of contacting ordering clinicians to report critical findings.”
    Learning to Talk Again in a Voice-First World
    David Isbitski, Elliot K. Fishman, MD, Karen M. Horton, MD, Steven P. Rowe, MD, PhD
    J Am Coll Radiol. 2019 Aug;16(8):1123-1124
  • “He understands that every guest is always the most important person in the room, and we have instilled that ethos in all of our staff members. Interestingly, this is one area where your industry, in my experience, fails: several years ago, my father underwent major surgery, and I felt that the health care staff did not consider him to be the most important person in the room and were simply not listening to what he and my family had to say to them.”
    Stories From the Kitchen: Lessons for Radiology From the Restaurant Business
    Cindy Wolf, Elliot K. Fishman, MD, Karen M. Horton, MD, Siva P. Raman
    J Am Coll Radiol. 2015 Mar;12(3):307-8
  • “I realize that managing the customer experience will undoubtedly be harder in a big organization like yours. Never- theless, that is no excuse not to try. Hire people who care about and believe in what your organization is doing, and keep paying attention to every aspect of the customer experience.”
    Stories From the Kitchen: Lessons for Radiology From the Restaurant Business
    Cindy Wolf, Elliot K. Fishman, MD, Karen M. Horton, MD, Siva P. Raman
    J Am Coll Radiol. 2015 Mar;12(3):307-8
  • “At our institution, likely reflective of practices across the country, radiologists pay little attention to this group of employees, virtually never interact with them, and are often blind to the impor- tance of these staff members in driving patients’ perception of a practice and the ultimate economic success of a radiology group.”
    Stories From the Kitchen: Lessons for Radiology From the Restaurant Business
    Cindy Wolf, Elliot K. Fishman, MD, Karen M. Horton, MD, Siva P. Raman
    J Am Coll Radiol. 2015 Mar;12(3):307-8
  • Even patients with substantial expertise in science or particular medical problems still rely on physicians during times of stress and uncertainty, and need them to perform procedures, interpret diagnostic tests, and prescribe medications. In these situations, reciprocal trust is central to the functioning of a health system and leads to higher treatment adherence, improvements in self-reported health, and better patient experience.So the question is: as technology continues to change relationships between patients and physicians, how can patient-physician trust be maintained or even improved?
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Prior work has examined the accuracy of AI, potential for biases, and lack of explainability (“black box”), all of which may affect physicians’ and patients’ trust in health care AI, as well as the potential for AI to replace physicians. However, in settings for which care will still be provided by a physician, whether and how AI will affect trust between physicians and patients has yet to be addressed. The potential effects of AI on trust between physicians and patients should be explicitly designed and planned for.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “When considering the implications of health care AI on trust, a broad range of health care AI applications need to be considered, including (1) use of health care AI by physicians and systems, such as for clinical decision support and system strengthening, physician assessment and training, quality improvement, clinical documentation, and nonclinical tasks, such as scheduling and notifications; (2) use of health care AI by patients including triage, diagnosis, and self-management; and (3) data for health care AI involving the routine use of patient data to develop, validate, and fine-tune health care AI as well as to personalize the output of health care AI.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Each of these applications has the potential to enable and disable the 3 components of trust: competency, motive, and transparency.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • Competency, Motive, Transparency
  • Competency reflects both the extent to which physicians are perceived to have clinical mastery and patients’ knowledge and self-efficacy of their own health. Because much of AI is and will be used to augment the abilities of physicians, there is potential to increase physician competency and enable patient-physician trust. This includes not only AI-assisted clinical decision support (eg, by suggesting possible diagnoses to consider) but also the use of AI for physician training and quality improvement (eg, by providing automated feedback to physicians about their diagnostic performance). AI can also serve an important role in empowering patients to better understand their health and self-manage their conditions.
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “ On the other hand, trust will be compromised by AI that is inaccurate, biased, or reflective of poor-quality practices as well as AI that lacks explainability and inappropriately conflicts with physician judgment and patient autonomy.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Motive refers to a patient’s trust that the physician is acting solely in the interests of the patient. Patients are likely to perceive motive through the lens of the extent of the open dialogue they have with their physicians. Through greater automation of low-value tasks, such as clinical documentation, it is possible that AI will free up physicians to identify patients’ goals, barriers, and beliefs, and counsel them about their decisions and choices, thereby increasing trust. Conversely, AI could automate more of the physician’s workflow, but then fill freed-up time with more patients with clinical issues that are more cognitively or emotionally complex. AI could also enable greater distribution of care across a care team (both human agents and computer agents).”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Whether this would enhance or harm trust would depend on the degree of collaboration among team members and the information flow, and could compromise trust if robust, longitudinal relationships were impeded.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Well-designed AI that allows patients to appreciate and understand that clinical decisions are based on evidence and expert consensus should enhance trust. It can also process patient data (including health care and consumer data) to provide physicians’ insight on patients’ behaviors and preferences.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “ Moreover, if patient data are routinely shared with external entities for AI development, patients may become less transparent about divulging their information to physicians, and physicians may be more reluctant to acknowledge their own uncertainties. AI that does not explain the source or nature of its recommendations (“black box”) may also erode trust.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “Where health care AI is implemented by health systems, it should be directed toward automating the transactional, business, and documentation aspects of care; doing so may provide time to physicians to engage with their patients more deeply. If AI is effective in relieving physicians from the burdens of data entry and other clerical tasks, much of the reclaimed time should be made available for patient care, shared decision-making, and counseling, which are the cornerstones of effective health care that are often compromised today.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
  • “When health care AI is developed by health systems and third-party organizations using patient data, physicians should be mindful of the effect on patient-physician trust. It will be important to develop ethical approaches that allow for patient input into decisions by health systems to share data for the purposes of developing AI through some combination of individual patient consent and the involvement of patient advocacy groups.”
    Promoting Trust Between Patients and Physicians in the Era of Artificial Intelligence. 
    Nundy S, Montgomery T, Wachter RM.
    JAMA. Published online July 15, 2019. doi:10.1001/jama.2018.20563
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