e.g. mhealth
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Skip search results from other journals and go to results- 4 Journal of Medical Internet Research
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This study structured its implementation approach around the recommendations of the integrated-Promoting Action on Research Implementation in Health Services (i PARIHS) implementation science framework and found that despite some challenges, implementing PROMs in routine oncology clinics was feasible and acceptable [13]. It also showed that it is important to measure underlying processes to ensure that the intervention was delivered in the way it is intended [14].
J Med Internet Res 2024;26:e55841
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Reference 26: Linking HIV-positive adolescents to care in 15 different clinics across the United Statesclinics
J Med Internet Res 2024;26:e44861
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The aims of this study are the following:
Aim 1: to conduct readiness, acceptability, and accessibility assessments through qualitative interviews and a quantitative survey followed by the implementation of +STEP to improve the diagnosis and treatment of MH and SUD at RWHAP clinics in Alabama.
Aim 2: to describe implementation strategies that address barriers to uptake of +STEP in RWHAP clinics.
JMIR Res Protoc 2023;12:e40470
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As part of the pilot trial, we asked participants about the acceptability of a hypothetical reduction in routinely scheduled clinics.
The Melanoma Self Surveillance (MEL-SELF) pilot RCT included patients previously treated for localized melanoma (stages 0, 1, and 2) who owned a smartphone, had a skin check partner to assist with skin self-examination (SSE), and were attending a routinely scheduled follow-up. Participants were recruited from specialist and primary care clinics in New South Wales, Australia.
JMIR Dermatol 2023;6:e45865
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Instead, diabetes clinics will most likely adopt a “new normal” model of care that will include virtual options when in-person visits are not feasible or needed, as there will be lingering concerns regarding social distancing for some time, and many clinics have already invested in virtual care technologies. Virtualization of diabetes care offers an opportunity to consider shorter, more frequent contacts through more feasible virtual modalities.
JMIR Diabetes 2022;7(4):e37715
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Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study
Consistent with the call of Davison and Martinson [29] for more context-specific research, studies regarding the adoption of ML systems in clinics must, therefore, reflect on both, the specific characteristics of ML systems and clinics. Such context-specific research on the organizational adoption of ML systems in clinics is becoming more prevalent in recent times [10,30,31].
J Med Internet Res 2021;23(10):e29301
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Considering this trend in the health care industry, a plethora of businesses have been operating in the United States under the umbrella term of “clinics” to cater to the differing needs of care of the population. These clinics have been providing affordable care in areas such as physical and occupational therapy, diabetes care, kidney care, drug treatment, and rehabilitation centers, alternate medicine, hearing aid clinics, imaging centers, and nutrition or dietician services [8,9].
J Med Internet Res 2021;23(2):e23658
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The EHR exchange was implemented in 3 stages: stage 1 (2008-2011) began and promoted the EHR plan, stage 2 (2010-2012) accelerated EHR adoption in hospitals and clinics, and stage 3 (2013-2015) subsidized the interoperability and application of EHRs. According to statistics of the Electronic Medical Record (EMR) Exchange Center (EEC) in 2016, 411 of 496 hospitals (80.4%) and about 5244 of 9782 private clinics (53.6%) were certified as having interoperable EHRs [10].
JMIR Med Inform 2019;7(1):e12630
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