Feasibility of real-time location systems in monitoring recovery after major abdominal surgery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06-07

AUTHORS

Robert D. Dorrell, Sarah A. Vermillion, Clancy J. Clark

ABSTRACT

BackgroundEarly mobilization after major abdominal surgery decreases postoperative complications and length of stay, and has become a key component of enhanced recovery pathways. However, objective measures of patient movement after surgery are limited. Real-time location systems (RTLS), typically used for asset tracking, provide a novel approach to monitoring in-hospital patient activity. The current study investigates the feasibility of using RTLS to objectively track postoperative patient mobilization.MethodsThe real-time location system employs a meshed network of infrared and RFID sensors and detectors that sample device locations every 3 s resulting in over 1 million data points per day. RTLS tracking was evaluated systematically in three phases: (1) sensitivity and specificity of the tracking device using simulated patient scenarios, (2) retrospective passive movement analysis of patient-linked equipment, and (3) prospective observational analysis of a patient-attached tracking device.ResultsRTLS tracking detected a simulated movement out of a room with sensitivity of 91% and specificity 100%. Specificity decreased to 75% if time out of room was less than 3 min. All RTLS-tagged patient-linked equipment was identified for 18 patients, but measurable patient movement associated with equipment was detected for only 2 patients (11%) with 1–8 out-of-room walks per day. Ten patients were prospectively monitored using RTLS badges following major abdominal surgery. Patient movement was recorded using patient diaries, direct observation, and an accelerometer. Sensitivity and specificity of RTLS patient tracking were both 100% in detecting out-of-room ambulation and correlated well with direct observation and patient-reported ambulation.ConclusionReal-time location systems are a novel technology capable of objectively and accurately monitoring patient movement and provide an innovative approach to promoting early mobilization after surgery. More... »

PAGES

5457-5462

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00464-017-5625-7

DOI

http://dx.doi.org/10.1007/s00464-017-5625-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085914550

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28593407


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Abdomen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computer Communication Networks", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Computer Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Digestive System Surgical Procedures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hospital Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Postoperative Complications", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Walking", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA", 
          "id": "http://www.grid.ac/institutes/grid.412860.9", 
          "name": [
            "Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dorrell", 
        "givenName": "Robert D.", 
        "id": "sg:person.010631323713.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010631323713.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA", 
          "id": "http://www.grid.ac/institutes/grid.412860.9", 
          "name": [
            "Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vermillion", 
        "givenName": "Sarah A.", 
        "id": "sg:person.016537014513.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016537014513.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgical Oncology, Department of General Surgery, Wake Forest Baptist Health, Medical Center Blvd., 27157, Winston-Salem, NC, USA", 
          "id": "http://www.grid.ac/institutes/grid.412860.9", 
          "name": [
            "Division of Surgical Oncology, Department of General Surgery, Wake Forest Baptist Health, Medical Center Blvd., 27157, Winston-Salem, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clark", 
        "givenName": "Clancy J.", 
        "id": "sg:person.01171202110.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171202110.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1472-6920-14-37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045607876", 
          "https://doi.org/10.1186/1472-6920-14-37"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-015-4610-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047233306", 
          "https://doi.org/10.1007/s00464-015-4610-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-072x-11-25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022954012", 
          "https://doi.org/10.1186/1476-072x-11-25"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-06-07", 
    "datePublishedReg": "2017-06-07", 
    "description": "BackgroundEarly mobilization after major abdominal surgery decreases postoperative complications and length of stay, and has become a key component of enhanced recovery pathways. However, objective measures of patient movement after surgery are limited. Real-time location systems (RTLS), typically used for asset tracking, provide a novel approach to monitoring in-hospital patient activity. The current study investigates the feasibility of using RTLS to objectively track postoperative patient mobilization.MethodsThe real-time location system employs a meshed network of infrared and RFID sensors and detectors that sample device locations every 3\u00a0s resulting in over 1 million data points per day. RTLS tracking was evaluated systematically in three phases: (1) sensitivity and specificity of the tracking device using simulated patient scenarios, (2) retrospective passive movement analysis of patient-linked equipment, and (3) prospective observational analysis of a patient-attached tracking device.ResultsRTLS tracking detected a simulated movement out of a room with sensitivity of 91% and specificity 100%. Specificity decreased to 75% if time out of room was less than 3\u00a0min. All RTLS-tagged patient-linked equipment was identified for 18 patients, but measurable patient movement associated with equipment was detected for only 2 patients (11%) with 1\u20138 out-of-room walks per day. Ten patients were prospectively monitored using RTLS badges following major abdominal surgery. Patient movement was recorded using patient diaries, direct observation, and an accelerometer. Sensitivity and specificity of RTLS patient tracking were both 100% in detecting out-of-room ambulation and correlated well with direct observation and patient-reported ambulation.ConclusionReal-time location systems are a novel technology capable of objectively and accurately monitoring patient movement and provide an innovative approach to promoting early mobilization after surgery.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00464-017-5625-7", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1098220", 
        "issn": [
          "0930-2794", 
          "1432-2218"
        ], 
        "name": "Surgical Endoscopy", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "keywords": [
      "major abdominal surgery", 
      "abdominal surgery", 
      "patient movement", 
      "postoperative patient mobilization", 
      "enhanced recovery pathway", 
      "prospective observational analysis", 
      "length of stay", 
      "postoperative complications", 
      "patient mobilization", 
      "patient diaries", 
      "early mobilization", 
      "specificity 100", 
      "surgery", 
      "patient activity", 
      "patient scenarios", 
      "patients", 
      "recovery pathways", 
      "ambulation", 
      "patient tracking", 
      "objective measures", 
      "observational analysis", 
      "current study", 
      "days", 
      "specificity", 
      "mobilization", 
      "complications", 
      "stay", 
      "sensitivity", 
      "simulated movement", 
      "real-time location system", 
      "movement analysis", 
      "room", 
      "tracking device", 
      "diary", 
      "pathway", 
      "min", 
      "key component", 
      "novel technology", 
      "movement", 
      "activity", 
      "recovery", 
      "study", 
      "feasibility", 
      "innovative approach", 
      "measures", 
      "direct observation", 
      "analysis", 
      "novel approach", 
      "observations", 
      "accelerometer", 
      "time", 
      "length", 
      "system", 
      "approach", 
      "equipment", 
      "badges", 
      "location", 
      "components", 
      "data points", 
      "point", 
      "devices", 
      "phase", 
      "walk", 
      "tracking", 
      "device location", 
      "location system", 
      "technology", 
      "network", 
      "RFID sensors", 
      "asset tracking", 
      "scenarios", 
      "meshed network", 
      "sensors", 
      "detector"
    ], 
    "name": "Feasibility of real-time location systems in monitoring recovery after major abdominal surgery", 
    "pagination": "5457-5462", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085914550"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00464-017-5625-7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28593407"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00464-017-5625-7", 
      "https://app.dimensions.ai/details/publication/pub.1085914550"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_730.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00464-017-5625-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00464-017-5625-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00464-017-5625-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00464-017-5625-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00464-017-5625-7'


 

This table displays all metadata directly associated to this object as RDF triples.

211 TRIPLES      21 PREDICATES      114 URIs      103 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00464-017-5625-7 schema:about N07319de1966d45ba89d162ae2011231a
2 N0ad476af287a4343996a9c5c0c5bbb7d
3 N1fec06578c51482281f01ff0170f6e53
4 N32de4dfa3d1f4760821ceed238fe1819
5 N447dedb0ae5f4126b8c137dfe33fa1cb
6 N6f9ad35135fc4ebf9fdbe090bef7bd83
7 N83adf437dae54b598084a37a384a9883
8 Na3512ac31c124209b07d4e0a09987d17
9 Ncaf856a86f69415a8ffdac7ebe8b04c0
10 Nd2d35bb1cbd5467a924a6dedc46a3d0e
11 Nec80e624f8304795ad07d7b501bfc7e7
12 Nfba9c175de5c46db97154095ff21b915
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author N953f163206e84bee913af8312940f6c7
16 schema:citation sg:pub.10.1007/s00464-015-4610-2
17 sg:pub.10.1186/1472-6920-14-37
18 sg:pub.10.1186/1476-072x-11-25
19 schema:datePublished 2017-06-07
20 schema:datePublishedReg 2017-06-07
21 schema:description BackgroundEarly mobilization after major abdominal surgery decreases postoperative complications and length of stay, and has become a key component of enhanced recovery pathways. However, objective measures of patient movement after surgery are limited. Real-time location systems (RTLS), typically used for asset tracking, provide a novel approach to monitoring in-hospital patient activity. The current study investigates the feasibility of using RTLS to objectively track postoperative patient mobilization.MethodsThe real-time location system employs a meshed network of infrared and RFID sensors and detectors that sample device locations every 3 s resulting in over 1 million data points per day. RTLS tracking was evaluated systematically in three phases: (1) sensitivity and specificity of the tracking device using simulated patient scenarios, (2) retrospective passive movement analysis of patient-linked equipment, and (3) prospective observational analysis of a patient-attached tracking device.ResultsRTLS tracking detected a simulated movement out of a room with sensitivity of 91% and specificity 100%. Specificity decreased to 75% if time out of room was less than 3 min. All RTLS-tagged patient-linked equipment was identified for 18 patients, but measurable patient movement associated with equipment was detected for only 2 patients (11%) with 1–8 out-of-room walks per day. Ten patients were prospectively monitored using RTLS badges following major abdominal surgery. Patient movement was recorded using patient diaries, direct observation, and an accelerometer. Sensitivity and specificity of RTLS patient tracking were both 100% in detecting out-of-room ambulation and correlated well with direct observation and patient-reported ambulation.ConclusionReal-time location systems are a novel technology capable of objectively and accurately monitoring patient movement and provide an innovative approach to promoting early mobilization after surgery.
22 schema:genre article
23 schema:isAccessibleForFree false
24 schema:isPartOf N2672c80d4dcc4595bb538e93bfe9ca8b
25 Nc757351d1b6e4801883450ff1797433f
26 sg:journal.1098220
27 schema:keywords RFID sensors
28 abdominal surgery
29 accelerometer
30 activity
31 ambulation
32 analysis
33 approach
34 asset tracking
35 badges
36 complications
37 components
38 current study
39 data points
40 days
41 detector
42 device location
43 devices
44 diary
45 direct observation
46 early mobilization
47 enhanced recovery pathway
48 equipment
49 feasibility
50 innovative approach
51 key component
52 length
53 length of stay
54 location
55 location system
56 major abdominal surgery
57 measures
58 meshed network
59 min
60 mobilization
61 movement
62 movement analysis
63 network
64 novel approach
65 novel technology
66 objective measures
67 observational analysis
68 observations
69 pathway
70 patient activity
71 patient diaries
72 patient mobilization
73 patient movement
74 patient scenarios
75 patient tracking
76 patients
77 phase
78 point
79 postoperative complications
80 postoperative patient mobilization
81 prospective observational analysis
82 real-time location system
83 recovery
84 recovery pathways
85 room
86 scenarios
87 sensitivity
88 sensors
89 simulated movement
90 specificity
91 specificity 100
92 stay
93 study
94 surgery
95 system
96 technology
97 time
98 tracking
99 tracking device
100 walk
101 schema:name Feasibility of real-time location systems in monitoring recovery after major abdominal surgery
102 schema:pagination 5457-5462
103 schema:productId N1e111f25c4a3459aa613563778a0a951
104 Nbf45439052894637aca93d9826bc446c
105 Nc8d6ffd94267493c8a50c1fa9aec04f7
106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085914550
107 https://doi.org/10.1007/s00464-017-5625-7
108 schema:sdDatePublished 2022-12-01T06:36
109 schema:sdLicense https://scigraph.springernature.com/explorer/license/
110 schema:sdPublisher Ne5ed89c486e14c7fa12d479b9f4db131
111 schema:url https://doi.org/10.1007/s00464-017-5625-7
112 sgo:license sg:explorer/license/
113 sgo:sdDataset articles
114 rdf:type schema:ScholarlyArticle
115 N07319de1966d45ba89d162ae2011231a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Humans
117 rdf:type schema:DefinedTerm
118 N0ad476af287a4343996a9c5c0c5bbb7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Abdomen
120 rdf:type schema:DefinedTerm
121 N1e111f25c4a3459aa613563778a0a951 schema:name dimensions_id
122 schema:value pub.1085914550
123 rdf:type schema:PropertyValue
124 N1fec06578c51482281f01ff0170f6e53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Male
126 rdf:type schema:DefinedTerm
127 N2672c80d4dcc4595bb538e93bfe9ca8b schema:volumeNumber 31
128 rdf:type schema:PublicationVolume
129 N32de4dfa3d1f4760821ceed238fe1819 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Computer Communication Networks
131 rdf:type schema:DefinedTerm
132 N447dedb0ae5f4126b8c137dfe33fa1cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Middle Aged
134 rdf:type schema:DefinedTerm
135 N6f9ad35135fc4ebf9fdbe090bef7bd83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Computer Systems
137 rdf:type schema:DefinedTerm
138 N8121af69f99c4938bbd9f7a096196fa2 rdf:first sg:person.01171202110.05
139 rdf:rest rdf:nil
140 N83adf437dae54b598084a37a384a9883 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Postoperative Complications
142 rdf:type schema:DefinedTerm
143 N953f163206e84bee913af8312940f6c7 rdf:first sg:person.010631323713.28
144 rdf:rest Nb5c12e5892c0411c89a7325597760398
145 Na3512ac31c124209b07d4e0a09987d17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Hospital Information Systems
147 rdf:type schema:DefinedTerm
148 Nb5c12e5892c0411c89a7325597760398 rdf:first sg:person.016537014513.97
149 rdf:rest N8121af69f99c4938bbd9f7a096196fa2
150 Nbf45439052894637aca93d9826bc446c schema:name pubmed_id
151 schema:value 28593407
152 rdf:type schema:PropertyValue
153 Nc757351d1b6e4801883450ff1797433f schema:issueNumber 12
154 rdf:type schema:PublicationIssue
155 Nc8d6ffd94267493c8a50c1fa9aec04f7 schema:name doi
156 schema:value 10.1007/s00464-017-5625-7
157 rdf:type schema:PropertyValue
158 Ncaf856a86f69415a8ffdac7ebe8b04c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Walking
160 rdf:type schema:DefinedTerm
161 Nd2d35bb1cbd5467a924a6dedc46a3d0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Female
163 rdf:type schema:DefinedTerm
164 Ne5ed89c486e14c7fa12d479b9f4db131 schema:name Springer Nature - SN SciGraph project
165 rdf:type schema:Organization
166 Nec80e624f8304795ad07d7b501bfc7e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Digestive System Surgical Procedures
168 rdf:type schema:DefinedTerm
169 Nfba9c175de5c46db97154095ff21b915 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Feasibility Studies
171 rdf:type schema:DefinedTerm
172 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
173 schema:name Medical and Health Sciences
174 rdf:type schema:DefinedTerm
175 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
176 schema:name Clinical Sciences
177 rdf:type schema:DefinedTerm
178 sg:journal.1098220 schema:issn 0930-2794
179 1432-2218
180 schema:name Surgical Endoscopy
181 schema:publisher Springer Nature
182 rdf:type schema:Periodical
183 sg:person.010631323713.28 schema:affiliation grid-institutes:grid.412860.9
184 schema:familyName Dorrell
185 schema:givenName Robert D.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010631323713.28
187 rdf:type schema:Person
188 sg:person.01171202110.05 schema:affiliation grid-institutes:grid.412860.9
189 schema:familyName Clark
190 schema:givenName Clancy J.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171202110.05
192 rdf:type schema:Person
193 sg:person.016537014513.97 schema:affiliation grid-institutes:grid.412860.9
194 schema:familyName Vermillion
195 schema:givenName Sarah A.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016537014513.97
197 rdf:type schema:Person
198 sg:pub.10.1007/s00464-015-4610-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047233306
199 https://doi.org/10.1007/s00464-015-4610-2
200 rdf:type schema:CreativeWork
201 sg:pub.10.1186/1472-6920-14-37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045607876
202 https://doi.org/10.1186/1472-6920-14-37
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/1476-072x-11-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022954012
205 https://doi.org/10.1186/1476-072x-11-25
206 rdf:type schema:CreativeWork
207 grid-institutes:grid.412860.9 schema:alternateName Division of Surgical Oncology, Department of General Surgery, Wake Forest Baptist Health, Medical Center Blvd., 27157, Winston-Salem, NC, USA
208 Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA
209 schema:name Division of Surgical Oncology, Department of General Surgery, Wake Forest Baptist Health, Medical Center Blvd., 27157, Winston-Salem, NC, USA
210 Wake Forest School of Medicine, Wake Forest Baptist Health, Winston-Salem, USA
211 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...