| Literature DB >> 31208044 |
Kyunghwa Seo1, Han-Nah Kim2, Hyeongsu Kim3.
Abstract
As interest in medical informatization has been increasing steadily worldwide, the adoption of health information systems (HISs) in medical institutions is essential. In this study, we intended to identify users' adoption, utilization and helpfulness derived from HISs to determine the status of medical informatization by using 2016 Korean Physician Survey data. A total of 8564 members responded to the 2016 survey, we extracted the data of 6949 HISs related part for this study. As a result, about 68% of the self-employed physicians adopted the Order Communication System and Electronic Medical Records, while only one-third adopted the Picture Archiving and Communication System. Overall, the proportions of utilization and helpfulness of HISs were higher for females; for employed physicians or professors; for physicians working in hospitals; and for those specializing in surgical medicine. As applying information technology to the medical environment becomes more important, HIS will become a necessary requirement and the demand for information systems considering user and patient oriented information environments will be increasing. Therefore, it is necessary to discuss the HISs use environment considering not only technical aspects but also users' or patients' viewpoints. In that respect, this study will give a meaningful evidence of HIS related policies.Entities:
Keywords: Electronic Medical Records; Order Communication System; Picture Archiving and Communication System; health information system; helpfulness; utilization
Mesh:
Year: 2019 PMID: 31208044 PMCID: PMC6616662 DOI: 10.3390/ijerph16122122
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of respondents.
| N | % | ||
|---|---|---|---|
| Gender | Male | 5731 | 83.7 |
| Female | 1118 | 16.3 | |
| Age | Under 40 | 912 | 13.3 |
| 40–49 | 2557 | 37.3 | |
| 50–59 | 2240 | 32.7 | |
| Over 60 | 1140 | 16.6 | |
| Employment status | Self-employed | 3337 | 48.7 |
| Employed | 2338 | 34.1 | |
| Medical school faculty | 1174 | 17.1 | |
| Specialty | Internal medicine | 3474 | 50.7 |
| Surgical medicine | 2715 | 39.6 | |
| Medical assistant specialty | 660 | 9.6 | |
| Type of institution | Clinic-level | 3635 | 53.1 |
| Hospital-level | 3214 | 46.9 | |
| Ownership of institution | Public | 586 | 8.6 |
| Private | 6263 | 91.4 | |
| Practice location | Capital area | 3369 | 49.2 |
| Metropolitan cities | 1681 | 24.5 | |
| Regional areas | 1799 | 26.3 | |
|
| 6849 | 100.0 | |
Current status of health information system (HIS) adoption among self-employed physicians.
| Total | OCS | EMR | PACS | |||||
|---|---|---|---|---|---|---|---|---|
| Gender | Male | 2297 | 2044 (68.2) | 0.385 | 2049 (68.4) | 0.547 | 1032 (34.4) | <0.0001 |
| Female | 340 | 224 (65.9) | 227 (66.8) | 65 (19.1) | ||||
| Age | Under 40 | 65 | 57 (87.7) | <0.0001 | 55 (84.6) | <0.0001 | 26 (40.0) | <0.0001 |
| 40–49 | 46 | 814 (86.1) | 723 (76.4) | 458 (48.4) | ||||
| 50–59 | 1530 | 993 (64.9) | 1035 (67.7) | 460 (30.1) | ||||
| Over 60 | 796 | 404 (50.8) | 463 (58.2) | 153 (19.2) | ||||
| Specialty | Internal medicine | 1849 | 1263 (68.3) | 0.767 | 1294 (70.0) | 0.047 | 538 (29.1) | <0.0001 |
| Surgical medicine | 1298 | 880 (67.8) | 855 (65.9) | 468 (36.1) | ||||
| Medical assistant specialty | 190 | 125 (65.8) | 127 (66.8) | 91 (47.9) | ||||
| Type of Institution | Clinic-level | 3149 | 2.108 (66.9) | <0.0001 | 2135 (67.8) | 0.039 | 978 (31.1) | <0.0001 |
| Hospital-level | 188 | 160 (85.1) | 141 (75.0) | 119 (63.3) | ||||
| Practice Location | Capital area | 914 | 596 (65.2) | 0.109 | 594 (65.0) | 0.043 | 259 (28.3) | 0.001 |
| Metropolitan cities | 807 | 555 (68.8) | 566 (70.1) | 266 (33.0) | ||||
| Regional areas | 1616 | 1117 (69.1) | 1116 (69.1) | 572 (35.4) | ||||
|
| 3337 | 2268 (68.0) | 2276 (68.2) | 1097 (32.9) | ||||
Unit: person (%). HIS = Health Information System, OCS = Order Communication System, EMR = Electronic Medical Record, PACS = Picture Archiving and Communication System.
Factors related with the utilization and helpfulness of OCS.
| Respondents Who Have Adopted OCS | Utilization | Helpfulness | ||||
|---|---|---|---|---|---|---|
| Gender | Male | 4661 | 3879 (83.2) | 0.001 | 3766 (80.8) | <0.0001 |
| Female | 970 | 850 (87.6) | 842 (86.8) | |||
| Age | Under 40 | 875 | 829 (94.7) | <0.0001 | 815 (93.1) | <0.0001 |
| 40–49 | 2365 | 2153 (91.0) | 2072 (87.6) | |||
| 50–59 | 1666 | 1246 (74.8) | 1233 (74.0) | |||
| Over 60 | 725 | 501 (69.1) | 488 (67.3) | |||
| Employment status | Self-employed | 2268 | 1611 (71.0) | <0.0001 | 1571 (69.3) | <0.0001 |
| Employed | 2213 | 2029 (91.7) | 1977 (89.3) | |||
| Medical school faculty | 1150 | 1089 (94.7) | 1060 (92.2) | |||
| Specialty | Internal medicine | 2803 | 2363 (84.3) | 0.003 | 2271 (81.0) | 0.229 |
| Surgical medicine | 2248 | 1907 (84.8) | 1852 (82.4) | |||
| Medical assistant specialty | 580 | 459 (79.1) | 485 (83.6) | |||
| Type of Institution | Clinic-level | 2529 | 1810 (71.6) | <0.0001 | 1775 (70.2) | <0.0001 |
| Hospital-level | 3102 | 2919 (94.1) | 2833 (91.3) | |||
| Practice Location | Capital area | 1685 | 1449 (86.0) | 0.001 | 1416 (84.0) | 0.011 |
| Metropolitan cities | 1404 | 1195 (85.1) | 1148 (81.8) | |||
| Regional areas | 2542 | 2085 (82.0) | 2044 (80.4) | |||
|
| 5631 | 4729 (84.0) | 4608 (81.8) | |||
Unit: person (%). OCS = Order Communication System.
Factors related with the utilization and helpfulness of EMR.
| Respondents Who Have Adopted EMR | Utilization | Helpfulness | ||||
|---|---|---|---|---|---|---|
| Gender | Male | 4549 | 3954 (86.9) | <0.0001 | 3640 (80.0) | <0.0001 |
| Female | 914 | 845 (92.5) | 791 (86.5) | |||
| Age | Under 40 | 825 | 791 (95.9) | <0.0001 | 768 (93.1) | <0.0001 |
| 40–49 | 2193 | 2039 (93.0) | 1861 (84.9) | |||
| 50–59 | 1667 | 1384 (82.5) | 1247 (74.4) | |||
| Over 60 | 768 | 585 (76.2) | 555 (72.3) | |||
| Employment status | Self-employed | 2276 | 1776 (78.0) | <0.0001 | 1613 (70.9) | <0.0001 |
| Employed | 2068 | 1938 (93.7) | 1835 (88.7) | |||
| Medical school faculty | 111 | 1085 (97.0) | 983 (87.9) | |||
| Specialty | Internal medicine | 2739 | 2381 (86.9) | 0.006 | 2188 (79.9) | 0.057 |
| Surgical medicine | 2162 | 1936 (89.6) | 1785 (82.6) | |||
| Medical assistant specialty | 562 | 482 (85.8) | 458 (81.5) | |||
| Type of Institution | Clinic-level | 2511 | 1962 (78.1) | <0.0001 | 1793 (71.4) | <0.0001 |
| Hospital-level | 2952 | 2837 (96.1) | 2639 (89.4) | |||
| Practice Location | Capital area | 1616 | 1443 (89.3) | 0.062 | 1339 (82.9) | 0.090 |
| Metropolitan cities | 1379 | 1213 (88.0) | 1114 (80.8) | |||
| Regional areas | 2468 | 2143 (86.8) | 1978 (80.2) | |||
|
| 5463 | 4799 (87.8) | 4431 (81.1) | |||
Unit: person (%). EMR = Electronic Medical Records.
Factors related with the utilization and helpfulness of PACS.
| Respondents Who Have Adopted EMR | Utilization | Helpfulness | ||||
|---|---|---|---|---|---|---|
| Gender | Male | 3556 | 3327 (93.6) | 0.033 | 3319 (94.3) | 0.013 |
| Female | 752 | 719 (95.6) | 720 (95.7) | |||
| Age | Under 40 | 783 | 748 (95.5) | <0.0001 | 752 (96.0) | <0.0001 |
| 40–49 | 1952 | 1863 (95.4) | 1857 (95.1) | |||
| 50–59 | 1112 | 1028 (92.5) | 1016 (91.4) | |||
| Over 60 | 461 | 407 (88.3) | 414 (89.8) | |||
| Employment status | Self-employed | 1097 | 978 (89.2) | <0.0001 | 979 (89.2) | <0.0001 |
| Employed | 2039 | 1928 (94.6) | 1931 (94.7) | |||
| Medical school faculty | 1172 | 1140 (92.3) | 1129 (96.3) | |||
| Specialty | Internal medicine | 1955 | 1820 (93.1) | 0.018 | 1813 (92.7) | 0.040 |
| Surgical medicine | 1807 | 1719 (95.1) | 1711 (94.7) | |||
| Medical assistant specialty | 546 | 507 (92.9) | 515 (94.3) | |||
| Type of Institution | Clinic-level | 1291 | 1135 (87.9) | <0.0001 | 1146 (88.8) | <0.0001 |
| Hospital-level | 3017 | 2911 (96.5) | 2893 (95.9) | |||
| Practice Location | Capital area | 1309 | 1233 (94.2) | 0.331 | 1245 (95.1) | 0.003 |
| Metropolitan cities | 1077 | 1019 (94.6) | 1018 (94.5) | |||
| Regional areas | 1922 | 1794 (93.3) | 1776 (92.4) | |||
|
| 4308 | 4046 (93.9) | 4039 (93.8) | |||
Unit: person (%). PACS = Picture Archiving and Communication System.