BMC Med Inform Decis Mak - On the usage of health records for the design of Virtual Patients: a systematic review.

Tópicos

{ record(1888) medic(1808) patient(1693) }
{ control(1307) perform(991) simul(935) }
{ search(2224) databas(1162) retriev(909) }
{ ehr(2073) health(1662) electron(1139) }
{ inform(2794) health(2639) internet(1427) }
{ data(1714) softwar(1251) tool(1186) }
{ research(1085) discuss(1038) issu(1018) }
{ imag(2675) segment(2577) method(1081) }
{ studi(1410) differ(1259) use(1210) }
{ featur(3375) classif(2383) classifi(1994) }
{ cost(1906) reduc(1198) effect(832) }
{ patient(1821) servic(1111) care(1106) }
{ network(2748) neural(1063) input(814) }
{ method(1557) propos(1049) approach(1037) }
{ howev(809) still(633) remain(590) }
{ analysi(2126) use(1163) compon(1037) }
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{ take(945) account(800) differ(722) }
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{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ extract(1171) text(1153) clinic(932) }
{ method(984) reconstruct(947) comput(926) }
{ featur(1941) imag(1645) propos(1176) }
{ data(3963) clinic(1234) research(1004) }
{ import(1318) role(1303) understand(862) }
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{ health(3367) inform(1360) care(1135) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ medic(1828) order(1363) alert(1069) }
{ group(2977) signific(1463) compar(1072) }
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{ structur(1116) can(940) graph(676) }
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{ use(1733) differ(960) four(931) }
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{ implement(1333) system(1263) develop(1122) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }

Resumo

CKGROUND: The process of creating and designing Virtual Patients for teaching students of medicine is an expensive and time-consuming task. In order to explore potential methods of mitigating these costs, our group began exploring the possibility of creating Virtual Patients based on electronic health records. This review assesses the usage of electronic health records in the creation of interactive Virtual Patients for teaching clinical decision-making.METHODS: The PubMed database was accessed programmatically to find papers relating to Virtual Patients. The returned citations were classified and the relevant full text articles were reviewed to find Virtual Patient systems that used electronic health records to create learning modalities.RESULTS: A total of n=362 citations were found on PubMed and subsequently classified, of which n=28 full-text articles were reviewed. Few articles used unformatted electronic health records other than patient CT or MRI scans. The use of patient data, extracted from electronic health records or otherwise, is widespread. The use of unformatted electronic health records in their raw form is less frequent. Patient data use is broad and spans several areas, such as teaching, training, 3D visualisation, and assessment.CONCLUSIONS: Virtual Patients that are based on real patient data are widespread, yet the use of unformatted electronic health records, abundant in hospital information systems, is reported less often. The majority of teaching systems use reformatted patient data gathered from electronic health records, and do not use these electronic health records directly. Furthermore, many systems were found that used patient data in the form of CT or MRI scans. Much potential research exists regarding the use of unformatted electronic health records for the creation of Virtual Patients.

Resumo Limpo

ckground process creat design virtual patient teach student medicin expens timeconsum task order explor potenti method mitig cost group began explor possibl creat virtual patient base electron health record review assess usag electron health record creation interact virtual patient teach clinic decisionmakingmethod pubm databas access programmat find paper relat virtual patient return citat classifi relev full text articl review find virtual patient system use electron health record creat learn modalitiesresult total n citat found pubm subsequ classifi n fulltext articl review articl use unformat electron health record patient ct mri scan use patient data extract electron health record otherwis widespread use unformat electron health record raw form less frequent patient data use broad span sever area teach train d visualis assessmentconclus virtual patient base real patient data widespread yet use unformat electron health record abund hospit inform system report less often major teach system use reformat patient data gather electron health record use electron health record direct furthermor mani system found use patient data form ct mri scan much potenti research exist regard use unformat electron health record creation virtual patient

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