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1 cess to international surgical rotations and medical information.
2 iwan's population and includes comprehensive medical information.
3 y special restrictions their state places on medical information.
4  characteristics or other nonimaging patient medical information.
5  avoid forensic profiles revealing protected medical information.
6 ecords were used to document demographic and medical information.
7  thus clinician exposure to variable quality medical information.
8 th the ICU team as well as understanding the medical information.
9 plementarily and not as a primary source for medical information.
10 i may reveal expression levels and, perhaps, medical information.
11 na, including health status, demographic and medical information.
12 o supporting metadata, including dietary and medical information.
13 about gene-expression variation or potential medical information.
14 nd often attributed to poor comprehension of medical information.
15 twork-based transmission of patients' stored medical information.
16 t to develop better methods of communicating medical information.
17 stionnaires assessed dietary, lifestyle, and medical information.
18 anxiety, as well as demographic, health, and medical information.
19 lly changed the creation and distribution of medical information.
20 s a crucial role in disseminating up-to-date medical information.
21 nted in 4 of 7 (57%) patients with available medical information.
22 ional, mechanistic, evolutionary and disease/medical information about transporters from organisms of
23 ientific inquiry and training, disseminating medical information and best practices, and monitoring a
24 ning and temporal maintenance play in modern medical information and decision support systems; it als
25 s made available a large variety of valuable medical information and education resources only dreamed
26 f comfort with secondary use of deidentified medical information and evaluated its correlates in a mu
27 onal networks are an important source of new medical information and have been shown to influence the
28 ific discovery, unparalleled availability of medical information and knowledge are currently paired w
29 gen users can bypass traditional channels of medical information and learn in great detail how to obt
30  drug samples, can compromise judgment about medical information and subsequent decisions about patie
31         The authors retrospectively analyzed medical information and the hemodynamic variables (recor
32 ion of 'patient initiations' were in 'giving medical information' and reflected what patients wanted
33  reporting practices, the confidentiality of medical information, and the immunity of clinician repor
34  from other countries sharing scientific and medical information at AHA meetings.
35 n, the patient's demographic and preexisting medical information available in medical database server
36  conjunction with the ever-expanding body of medical information available on the internet, significa
37 -subsidization among policyholders and where medical information becomes inviolate simply because it
38 pared with children who received end-of-life medical information before their loss, the risk of distr
39 t was highest when they received end-of-life medical information before their loss.
40 Most (93 of 98 [95%]) provided at least some medical information, but few explained the short-term pr
41     Social media is an influential source of medical information, but little is known about how posts
42        The internet has changed the way that medical information by journals is disseminated, with a
43 from the county hospital center pharmacy and medical information departments were matched with the re
44                                        False medical information disseminated dangerously during the
45 nters for communication behaviors (providing medical information, eliciting preferences/values, engag
46    Whole-genome and exome sequencing unveils medical information embedded in individual genomes and e
47 care providers, and rapid access to reliable medical information for both physicians and patients.
48  not peer-reviewed, are important sources of medical information for both the public and for clinicia
49 practice, and enable retrospective coding of medical information for further use.
50 al to radically enhance the accessibility of medical information for health professionals and patient
51 g institutions, agreeing to the use of their medical information for research purposes.
52                                              Medical information for these patients was extracted fro
53 cognition: 65 participants from the European Medical Information Framework (EMIF)-Alzheimer's disease
54 ts in Europe and North America: the European Medical Information Framework for Alzheimer's Disease (E
55 he effect of an organized effort to withhold medical information from insurance companies.
56                                 We collected medical information from more than 1.7 million children,
57                                 We looked at medical information from physicians treating patients di
58 erology outpatients reported having obtained medical information from the Web within the previous yea
59 e role of the Internet, and accessibility of medical information have been central elements in the de
60  that permit the aggregation of computerized medical information have led to pressure for greater acc
61 ublic increasingly looks to social media for medical information, health care practitioners should co
62                              Protections for medical information in general, as well as laws in some
63 rowth of the Internet, the ability to access medical information in the most isolated of locations is
64               There has been an explosion of medical information in the past decade.
65 r approach demonstrates that publicly shared medical information is a tremendous resource that can be
66 f these patients must ensure that his or her medical information is current and that patients receive
67 Because health care systems are complicated, medical information is difficult to understand, and medi
68              Point-of-care access to current medical information is easily available to the practitio
69 d is too expensive; the quality of Web-based medical information is inadequate; software programs may
70 th information about individuals and general medical information is increasingly available in electro
71                           When combined with medical information, large electronic databases of infor
72        These include factors such as limited medical information, limited product information, limite
73 ured reports, detailing known biological and medical information, literature and database cross-refer
74 ts were obtained from the publicly available Medical Information Mart for Intensive Care (MIMIC III)
75 -based], cTAKES [hybrid]) on a subset of the Medical Information Mart for Intensive Care (MIMIC) ches
76 imaging patient data were extracted from the Medical Information Mart for Intensive Care (MIMIC) data
77  retrospective cohort study was based on the Medical Information Mart for Intensive Care (MIMIC)-IV c
78 idation with 393,713 patient events from the Medical Information Mart for Intensive Care (MIMIC)-IV d
79 e comparative analysis of the four LLMs, the Medical Information Mart for Intensive Care (MIMIC)-IV d
80 high-flow nasal cannula, using data from the Medical Information Mart for Intensive Care (MIMIC)-IV d
81 ing reports and discharge summaries from the Medical Information Mart for Intensive Care (MIMIC)-IV d
82 he eICU Collaborative Research Database, the Medical Information Mart for Intensive Care (MIMIC)-IV,
83 surement in two publicly available datasets [Medical Information Mart for Intensive Care (MIMIC, n =
84 y, TA-RNN showed superior performance on the Medical Information Mart for Intensive Care (MIMIC-III)
85  have created a curated dataset based on the Medical Information Mart for Intensive Care database spa
86 bleeding (N = 2,524) was identified from the Medical Information Mart for Intensive Care III (MIMIC-I
87  Care Risk-Adjusted Alerting and Monitoring, Medical Information Mart for Intensive Care III and elec
88     We externally validated the model in the Medical Information Mart for Intensive Care III critical
89                              We utilized the Medical Information Mart for Intensive Care III v1.4 (MI
90 sits to Beth Israel Deaconess Medical Center Medical Information Mart for Intensive Care IV (MIMIC-IV
91 lts hospitalized with IBD extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV
92 e Unit dataset and externally validated with Medical Information Mart for Intensive Care IV and India
93 omes in patients with septic shock using the Medical Information Mart for Intensive Care IV database.
94 sed internal datasets, 562 (46%) used MIMIC (Medical Information Mart for Intensive Care) datasets (I
95 ls were analyzed, including Duke, MIMIC-III (Medical Information Mart for Intensive Care), MIMIC-IV,
96          In this work, we focus on MIMIC-IV (Medical Information Mart for Intensive Care, version IV)
97 ls were then validated on separate datasets: Medical Information Mart for Intensive Care-III and our
98 tive analysis of 2,784 AMI patients from the Medical Information Mart for Intensive Care-IV database,
99 ion intensive care unit dataset [HiRID], and Medical Information Mart for Intensive Care-IV).
100 without risk classification, and much of the medical information needed to classify risks will have a
101 t ClinicalTrials.gov and University Hospital Medical Information Network Clinical Trials Registry (UM
102 -keeping systems to key components of modern medical information networks.
103 children without IBD (controls) and recorded medical information on disease activity and outcomes.
104 ed for 2.5 years and anthropometric data and medical information on infections were collected.
105      This article reviews the scientific and medical information on late-term abortion and late-term
106 d Health Database, capturing demographic and medical information on nearly all 23 million of the Taiw
107 a need for stronger regulation of misleading medical information on social media.
108 ay be useful to other providers and users of medical information on the Web.
109 ecision-making roles: informative (providing medical information only), facilitative (information + e
110  have limited ability to read and comprehend medical information pertinent to their health.
111 4%) consented for their physician to provide medical information (received for 266 of 321 [82.9%]).
112  patients stated they would use the Web as a medical information resource in the future.
113 ent of patients intended to use the Web as a medical information resource in the future.
114                                              Medical information retrieved with the search term melan
115 sequelae, and the need to reiterate detailed medical information several times during a stressful per
116  improving physicians' responsiveness to new medical information should consider utilizing the influe
117 2000, the site has grown to become a leading medical information site, currently with more than 100 r
118 ion and our skills as consummate managers of medical information suggest that we can.
119 ting in the Arthritis, Rheumatism, and Aging Medical Information System (ARAMIS) who resided in the S
120              The ESRD Program Management and Medical Information System (PMMIS) was used to identify
121 rs were identified from relevant Read/Oxford Medical Information System codes in the patient's clinic
122 ls, and the Arthritis, Rheumatism, and Aging Medical Information System cohort, comprising 58 patient
123 ecember 2019 were identified from the French Medical Information System Database, which includes all
124 ased on the Arthritis, Rheumatism, and Aging Medical Information System Post-Marketing Surveillance P
125 m 6 ARAMIS (Arthritis, Rheumatism, and Aging Medical Information System) databanks.
126 g 6-year period were obtained from statewide medical information systems and analyzed.
127 ed from the Arthritis, Rheumatism, and Aging Medical Information Systems database and were matched wi
128                                        Egton Medical Information Systems, University of Nottingham, M
129  generation, collation, and dissemination of medical information than it does on production of medici
130 obanks including genetic, environmental, and medical information, the Million Veteran Program, the au
131 ent to guarantee equal access to trustworthy medical information through AI technologies.
132 es benefit from extensive cross-linking with medical information to create a unique resource, spannin
133 mically poor rural areas in Asia with little medical information to guide public health policy.
134 e use of "fix-it" is familiar for explaining medical information to patients, surgeons recognize that
135                                    Access to medical information via the Internet has the potential t
136 psy in 66 patients for which well-documented medical information was available.
137  who did not know or remember if end-of-life medical information was provided (RR, 1.7; 95% CI, 1.1 t
138                                              Medical information was retrieved from patient files cov
139                                     Detailed medical information was retrospectively collected on 374
140                            Blood samples and medical information were collected at the study entry an
141 lth care professionals to use and share full medical information when treating patients, the provisio
142 secure access to their patients' data and to medical information, when and where they need it.
143 gly using the Internet to supplement finding medical information, which can be complex and requires a
144 sed by Black caregivers, (3) sharing limited medical information with Black caregivers, and (4) chall
145 h access, 235 (51%) had searched the Web for medical information within the previous 12 months.
146 l patients surveyed had searched the Web for medical information within the previous year.

 
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