Table 1.
Search strings from the literature search for the impact of electronic health records on financial and clinical outcomes (N=971).
| Database and keywords | Results, n (%) | Filters | Results after applying filters, n (%) | ||||
| PubMed | |||||||
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([([([(((Finance*[Title] OR monetary[Title] OR economic*[Title] OR fiscal[Title] OR commercial[Title] OR cost[Title])) OR (Finance*[Other Term] OR monetary[Other Term] OR economic*[Other Term] OR fiscal[Other Term] OR cost[Other Term])) OR “Economics” [Mesh]]) OR ([(Clinical[Title] OR quality[Title] OR)] OR [Clinical[Other Term] OR quality[Other Term]]) AND ((((((Adopt*[Title] OR (Adopt*[Other Term]) OR implement*(Title)] OR implement*[Other Term])] AND [([(Follow-up-stud*[Title] OR prognos*[Title] OR predict*[Title] OR course[Title] OR followup-stud*[Title] OR efficacy[Title] OR complication[Title] OR chang*[Title] OR effective*[Title] OR evaluat*[Title] OR improve*[Title] OR indicat*[Title] OR impact*[Title] OR consequence*[Title] OR development*[Title] OR Result*[Title] OR outcome*[Title])] OR [Follow-up-stud*(Other Term) OR prognos*[Other Term] OR predict*(Other Term) OR course(Other Term) OR followup-stud*(Other Term) OR efficacy(Other Term) OR complication(Other Term) OR chang*(Other Term) OR effective*(Other Term) OR evaluat*(Other Term) OR improve*(Other Term) OR indicat*(Other Term) OR impact*(Other Term) OR consequence*(Other Term) OR development*(Other Term) OR Result*(Other Term) OR outcome*(Other Term)]) OR “follow-up studies” (mesh)]) AND ([([Electronic-health-record*(Title) OR electronic-medical-record*(Title) OR computerized-health-record*(Title) OR computerized-medical-record*(Title) OR EHR(Title) OR electronic-patient-record*(Title)]) OR (Electronic-health-record*[Other Term] OR electronic-medical-record*[Other Term] OR computerized-health-record*[Other Term] OR computerized-medical-record*[Other Term] OR EHR[Other Term] OR electronic-patient-record*[Other Term])] OR “electronic health records” [mesh]) | 193 (19.9) | Years: 2009-2019; language: English | 179 (18.4) | |||
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([“electronic health records adoption”(Title/Abstract)] OR “EHR adoption”[Title/Abstract]) AND “financial outcomes”(Title/Abstract) | 0 (0) | N/Aa | 0 (0) | |||
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([“electronic health records adoption”(Title/Abstract)] OR “EHR adoption”[Title/Abstract]) AND “financial”(Title/Abstract) | 39 (4) | Years: 2009-2019; language: English | 33 (3.4) | |||
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([“electronic health records adoption”(Title/Abstract)] OR “EHR adoption”[Title/Abstract]) AND “clinical outcomes”(Title/Abstract) | 1 (0.1) | Years: 2009-2019; language: English | 1 (0.1) | |||
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([“electronic health records adoption”(Title/Abstract)] OR “EHR adoption”[Title/Abstract]) AND “clinical”(Title/Abstract) | 99 (10.2) | Years: 2009-2019; language: English | 89 (9.2) | |||
| Scopus | |||||||
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(TITLE-ABS-KEY [electronic-health-record* OR electronic-medical-record* OR computerized-health-record* OR computerized-medical-record* OR ehr OR electronic-patient-record* OR “electronic health record”] AND TITLE-ABS-KEY [finance* OR monetary OR economic* OR fiscal OR “economic”] AND TITLE-ABS-KEY [clinical OR quality] AND TITLE-ABS-KEY [“follow-cup studies” OR follow-up-stud* OR prognos* OR predict* chang* OR effective* OR evaluat* OR improve* OR indicat* OR impact* OR consequence* OR outcome*] AND TITLE-ABS-KEY [Adopt* OR implement*]) | 70 (7.2) | Years: 2009-2019; language: English; country: United States | 35 (3.6) | |||
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TITLE-ABS-KEY (“EHR adoption” OR “electronic health records adoption” AND “financial outcomes”) | 0 (0) | N/A | 0 (0) | |||
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TITLE-ABS-KEY (“EHR adoption” OR “electronic health records adoption” AND “financial”) | 61 (6.3) | Years: 2009-2019; language: English; country: United States | 41 (4.2) | |||
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TITLE-ABS-KEY (“ehr adoption” OR “electronic health records adoption” AND “clinical outcomes”) | 2 (0.2) | Years: 2009-2019; language: English; country: United States | 2 (0.2) | |||
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TITLE-ABS-KEY (“EHR adoption” OR “electronic health records adoption” AND “clinical”) | 173 (17.8) | Years: 2009-2019; language: English; country: United States | 155 (16) | |||
| Embase | |||||||
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(“electronic health record*”:ti,ab,kw OR “electronic medical record*”:ti,ab,kw OR “computerized health record*”:ti,ab,kw OR “computerized medical record*”:ti,ab,kw OR ehr:ti,ab,kw OR “electronic patient record*”:ti,ab,kw OR “electronic health record”:ti,ab,kw) AND (finance*:ti,ab,kw OR monetary:ti,ab,kw OR economic*:ti,ab,kw OR fiscal:ti,ab,kw OR “economic”:ti,ab,kw) AND (clinical:ti,ab,kw OR quality:ti,ab,kw) AND (“follow-up studies”:ti,ab,kw OR “follow up stud*”:ti,ab,kw OR prognos*:ti,ab,kw OR predict*:ti,ab,kw OR course:ti,ab,kw OR “followup stud*”:ti,ab,kw OR efficacy:ti,ab,kw OR complication:ti,ab,kw OR chang*:ti,ab,kw OR effective*:ti,ab,kw OR evaluat*:ti,ab,kw OR imptove*:ti,ab,kw OR indicat*:ti,ab,kw OR impact*:ti,ab,kw OR consequence*:ti,ab,kw OR development*:ti,ab,kw OR result*:ti,ab,kw OR outcome*:ti,ab,kw) AND (adopt*:ti,ab,kw OR implement*:ti,ab,kw) | 350 (36) | Years: 2009-2019 | 303 (31.2) | |||
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(“electronic health records adoption”:ti,ab,kw OR “ehr adoption”:ti,ab,kw) AND “financial outcomes”:ti,ab,kw | 0 (0) | N/A | 0 (0) | |||
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(“electronic health records adoption”:ti,ab,kw OR “ehr adoption”:ti,ab,kw) AND “financial”:ti,ab,kw | 42 (4.3) | Years: 2009-2019 | 35 (3.6) | |||
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(“electronic health records adoption”:ti,ab,kw OR “ehr adoption”:ti,ab,kw) AND “clinical outcomes”:ti,ab,kw | 3 (0.3) | Years: 2009-2019 | 3 (0.3) | |||
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(“electronic health records adoption”:ti,ab,kw OR “ehr adoption”:ti,ab,kw) AND “clinical”:ti,ab,kw | 104 (10.7) | Years: 2009-2019 | 95 (9.8) | |||
aN/A: not applicable.