| Literature DB >> 30634467 |
Po-Chin Yang1, Feng-Yuan Chu2, Hao-Yen Liu3, Mei-Ju Shih4, Tzeng-Ji Chen5,6, Li-Fang Chou7, Shinn-Jang Hwang8,9.
Abstract
BACKGROUND: In the Internet era, many web-based appointment systems for hospitals have been established to replace traditional systems. Our study aimed to highlight the features of online appointment systems for hospitals in Taiwan, where patients can visit outpatient departments without a referral.Entities:
Keywords: Taiwan; appointments and schedules; hospital; online systems; outpatient clinics
Mesh:
Year: 2019 PMID: 30634467 PMCID: PMC6352157 DOI: 10.3390/ijerph16020171
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Proportion of hospitals with an online registration system among all hospitals in Taiwan, stratified by accreditation type and urbanization level.
| Academic Medical Center | Regional Hospital | Local Community Hospital | Total | |
|---|---|---|---|---|
| Urban | 100% (19/19) a | 98.2% (55/56) | 48.9% (89/182) | 63.4% (163/257) |
| Suburban | N/A b | 100% (24/24) | 44.0% (48/109) | 54.1% (72/133) |
| Rural | N/A | 100% (1/1) | 50.0% (13/26) | 51.9% (14/27) |
| Total | 100% (19/19) | 98.8% (80/81) | 47.3% (150/317) | 59.7% (249/417) |
a Values are the number of such hospitals with an online registration system/the number of all such hospitals. b N/A: not applicable.
The number of hospitals offering a first-visit registration function, and requiring a given item for registration, as well as the number of hospitals offering a cancelation function, stratified by accreditation type.
| Academic Medical Center ( | Regional Hospital ( | Local Community Hospital ( | Total ( | |
|---|---|---|---|---|
|
| 19 | 74 | 108 | 201 |
| ID card number | 19 (100%) | 73 (98.6%) | 106 (98.1%) | 198 (98.5%) |
| Birth year and date | 17 (89.5%) | 65 (87.8%) | 96 (88.9%) | 178 (88.6%) |
| Name | 12 (63.2%) | 52 (70.3%) | 81 (75.0%) | 145 (72.1%) |
| Address | 11 (57.9%) | 28 (37.8%) | 23 (21.3%) | 62 (30.8%) |
| Telephone number | 14 (73.7%) | 49 (66.2%) | 68 (63.0%) | 131 (65.2%) |
| Verification code | 9 (47.4%) | 35 (43.8%) | 64 (59.3%) | 108 (53.7%) |
|
| 19 | 80 | 148 | 247 |
Average, maximum, minimum, and median number of days available for making a first-visit appointment online before the day of the visit, stratified by hospital accreditation type.
| Academic Medical Center | Regional Hospital | Local Community Hospital | Total | |
|---|---|---|---|---|
| ( | ( | ( | ( | |
| Average (M ± SD) | 35.5 ± 21.4 | 38.0 ± 20.3 | 40.2 ± 22.1 | 38.9 ± 21.5 |
| Max | 90 | 98 | 98 | 98 |
| Min | 14 | 14 | 7 | 7 |
| Median | 30 | 30 | 30 | 30 |
Abbreviations: M = mean; SD = standard deviation.
Figure 1Distribution of days available for making an online appointment, stratified by hospital accreditation type.
Features of real-time online registration system websites before and after a first-time visit, stratified by hospital accreditation type.
| Academic Medical Center ( | Regional Hospital ( | Local Community Hospital ( | Total ( | |
|---|---|---|---|---|
|
| ||||
| Recommend specialties by symptoms | 14 (73.7%) | 21 (28.4%) | 33 (30.6%) | 68 (34.1%) |
| Links to webpages regarding doctors’ areas of expertise | 11 (57.9%) | 24 (32.4%) | 30 (27.8%) | 65 (32.7%) |
| Show number of already registered patients | 6 (31.6%) | 38 (51.4%) | 39 (36.1%) | 83 (41.7%) |
| Indicate whether to show full name at clinic | 8 (42.1%) | 10 (13.5%) | 6 (5.6%) | 24 (12.1%) |
| Function for sending messages to doctors | 0 (0%) | 4 (5.4%) | 7 (6.5%) | 11 (5.5%) |
| English-language appointment systems | 11 (57.9%) | 19 (25.7%) | 15 (13.9%) | 45 (23.0%) |
|
| ||||
| Display registration number | 19 (100%) | 73 (98.6%) | 106 (98.1%) | 198 (99.5%) |
| Display a suggested arrival time | 6 (31.6%) | 18 (24.3%) | 15 (13.9%) | 39 (19.6%) |
| Mobile phone text message reminders | 0 (0%) | 2 (2.7%) | 4 (3.7%) | 6 (3.0%) |
| Real-time data regarding outpatient service progress | 19 (100%) | 71 (95.9%) | 86 (79.6%) | 176 (88.4%) |