Unbridled adoption could easily lead to mission deviation, whereby instead of desirable “disruptive innovation” improving efficiency and effectiveness, implementation of “innovative” technologies simply disrupt care, add cost, and produce frustration. Unbridled adoption could also turn institutions into commodities instead of industry partners or customers, whereby the health systems lose the experts’ voice that should guide excellent care, or lose control of data, which would interfere with the research mission. Clinical periodontal parameters around natural teeth were recorded in all selected studies, although periodontal charting was variously performed, complicating results comparison. In addition, periodontal parameters were incompletely reported in many studies, with a lack of data describing and comparing periodontal status before vs. during/after statin use and in statins vs. non-statin users.
For example, a televisit is almost always superior to the scheduled in-person visit that never occurs due to transportation, child-care, or other access issues. As digital health companies continue to proliferate, expanding their reach and impact, academic medical centers have tremendous pressure to adapt, but also a great opportunity to capitalize on this wave of innovation, enhancing their missions. As these companies increase their ability to directly engage patients by using more on-demand, convenient, and cost-effective methods of care, academic health institutions risk being marginalized to the detriment of many patients who need the expertise and resources held within them. Since many such centers provide primary and general care to large local populations, and expert tertiary level care across a much larger geographic region, they must intentionally adopt digital health solutions that align to these two prongs of care and ensure both are mission-aligned. Third, just as trainees flock to academic medical institutions to learn the latest and most effective methods in diagnosis, procedures, and surgery, such centers should be the beacons of learning to use emerging digital health methods65,66. This includes practical training for all types of health providers on digital health literacy, informatics, virtual visits, tele-consultations, RPM, “digital examinations,” and artificial intelligence-assisted and virtual-augmented reality-enabled analysis, interpretation, recommendation, and visualization tools55.
Many systems stood up or significantly expanded home hospital care for patients to preserve inpatient bed capacity for those patients who required it, regardless of COVID-19 status41. In 2019, for example, Yale New Haven Health completed 316 ambulatory video visits, but in the face of the pandemic grew to over half a million in 2020. Massive growth was also seen at centers across the nation, including the University of Pennsylvania, Mt. Sinai, University of Pittsburgh Medical Center, Thomas Jefferson University Hospital, and Stanford, among many others31.
As noted previously, to be “early adopters” of cutting-edge technologies, the research arms of academic healthcare organizations are well-suited to establish and monitor the impact of digital health technologies. First, mission-driven digital health-enabled care must provide best-in class care. At the most basic level, this care should be evidence-based and the resultant outcomes measured. Although the evidence supporting the impact of digital health solutions is growing, it remains limited45,46. Academic healthcare institutions should champion evidence-backed digital health solutions that address high-priority clinical needs while also promoting higher care value through better outcomes at lower costs. Such institutions, partnering with peer institutions, are also uniquely positioned to identify and study candidate digital health solutions given their large patient volumes, and wealth of experts across primary and specialty services.
It requires a forward-leaning, risk-taking organization that can rapidly deploy and assess a solution’s impact while improving the solution with agility or “failing fast.” The measurement and assessment of deployed digital health technologies should be enabled by the organization’s research and quality improvement arms. A proactive strategic approach runs counter to the opportunistic and reactionary postures to digital health experienced by many academic medical centers before and since the ongoing Public Health Emergency. Academic medical centers of the future should anticipate needs and proactively invest in mission-aligned digital tools that provide unmatched clinical care, patient experience, research, education, and training at their institution. Among the emerging set of digital health direct-to-consumer offerings, most had not been integrated into clinical practice and thus, had not been a mainstay of the practice of disease monitoring, surveillance, diagnosis, or treatment. Despite the proliferation of technologies that enabled patient-generated health data, the incorporation of these data into care practices was uncertain, as was their impact on care27.
US retail sales of products making antioxidant claims grew a healthy 8.6% to $64.8bn in 2011, although marketers are still struggling to articulate their benefits to consumers, according to a new report from Packaged Facts. Suresh, S.; Narayana, S.; Jayakumar, P.; Sudhakar, U.; Pramod, V. Evaluation of anti-inflammatory effect of statins in chronic periodontitis. The risk of bias was previously recorded for all of the items, as extensively shown in the risk of bias table. Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Plaque Index , or a similar parameter recording the presence of plaque , was evaluated in all the selected studies. Clinical Attachment Level and Periodontal Probing Depth were both measured in five studies, Gingival Index and Bleeding on Probing were assessed in five and three studies, respectively, while the Community Periodontal Index was computed in one study . Only two studies evaluated other periodontal parameters, such as gingival crevicular inflammatory mediators, specifically Interleukin (IL-)1B , IL-10 and Myeloperoxidase , and no studies considered either radiographic outcomes , tooth loss due to periodontitis, nor the number of residual teeth. Previous systematic reviews , including preclinical and animal studies, were focused on the effect of statins, mainly locally delivered ones, on outcomes of periodontitis treatment, without considering comorbidities,other pharmacological treatments and preexisting severity of periodontal tissues disruption. Governmental and payer responses enabled these clinical tele-operations and digital health responses. The longevity of these responses is not yet established as some rollbacks have begun.
Indeed, the validation of the beneficial effect provided by systemically delivered statins on periodontal and peri-implant tissues may direct recall scheduling, predict response to therapy and, therefore, guide treatment strategies of periodontal and peri-implant treatments in statin burrito gresham users. Gingival crevicular IL-1 wassignificantly lower in statin compared to non-statin users , similarly to MPO and IL-6 levels, opposite to IL-10 ones . Tooth loss may benefit from systemically delivered statins, which may exert a protective effect in periodontal subjects .
Fourth, the data flowing from digital health-powered care should be consistently collected to monitor clinical outcomes and ensure high care quality care. This will serve the research mission, but should be a pillar of the clinical, training, and educational missions, too. Digital health, by its nature, enables data collection across the care continuum, which represents another reason clinical, research, and quality improvement teams should embrace it. Digital health companies, ranging from remote monitoring platforms to asynchronous telemedicine applications, already collect troves of real-world patient-generated health data in settings outside the walls of traditional care settings. They lack these data and thus, cannot achieve or provide such levels of patient access once they leave the clinic or hospital. This massive asymmetry of information and patient access greatly differentiates the two current states of academic medical centers and industry.
Lead Software EngineerHumanaKansas City, KS+ Experience working with Azure Devops platform. This application allows our customers to bring their data to a new paradigm of data management. We need a lead engineer to come and provide technical leadership, code, mentorship, and guidance to our small, talented team that maintains our SaaS application. Kansas City-based TripleBlind Inc. has raised a $24 million Series A round led by the Mayo Clinic and venture capital firm General Catalyst. In addition to Mayo and General Catalyst, other participants in the funding round included Accenture Ventures, NextGen Venture Partners and Dolby Family Ventures. DETROIT, MI—As the service industry begins to embrace the benefits of automation, RoboTirehas raised a$7.5 million Series A round for its tire-changing tech.