검색
검색 팝업 닫기

Ex) Article Title, Author, Keywords

Article

Split Viewer

Original Article

Progress in Medical Physics 2020; 31(4): 172-178

Published online December 31, 2020 https://doi.org/10.14316/pmp.2020.31.4.172

Copyright © Korean Society of Medical Physics.

Structure of an Oncology Information System Based on a Cost-Effective Relational Database for Small Departments of Radiation Oncology

Hosang Jeon1 , Dong Woon Kim1 , Ji Hyeon Joo1 , Yongkan Ki2 , Wontaek Kim2 , Dahl Park3 , Jiho Nam3 , Dong Hyeon Kim3

1Department of Radiation Oncology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 2Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, 3Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea

Correspondence to:Yongkan Ki
(apex7171@hanmail.net)
Tel: 82-55-360-3450
Fax: 82-55-360-3449

Received: October 19, 2020; Revised: November 13, 2020; Accepted: November 23, 2020

Purpose: Radiation oncology information systems (ROIS) have evolved toward connecting and integrating information between radiation treatment procedures. ROIS can play an important role in utilizing modern radiotherapy techniques that have high complexity and require a large amount of information.
Methods: Using AccessTM software, we have developed a relational database that is highly optimized for a radiotherapeutic workflow.
Results: The prescription table was chosen as the core table to which the other tables were connected, and three types of forms-charts, worklists, and calendars- were suggested. A fast and reliable channel for delivering orders and remarks according to changes in the situation was also designed.
Conclusions: We expect our ROIS design to inspire those who need to develop and manage an individual ROIS suitable for their radiation oncology departments at a low cost.

KeywordsRadiation oncology information system, Relational database, Microsoft access

Since the awareness of the need for electronic recording and verification of radiotherapy treatments arose over 40 years ago [1
-3], radiation oncology information systems (ROIS) have evolved toward connecting and integrating information between different radiation treatment procedures [4]. ROIS can play an important role in utilizing modern radiotherapy techniques that have high complexity and involve a large amount of information because it is essential to share such information quickly and efficiently among medical staff. Han et al. [5] reported that the overall workload associated with radiation treatment procedures such as nursing, simulation, and treatment was reduced by 28.2% through the introduction of an electronic chart system.

One of the most widely used digital database formats is the relational database (RDB) proposed by Codd [6] in 1970. Since the RDB can effectively and intuitively manage a large amount of complex data using related tables and support data consistency and concurrency, this method is suitable for ROIS, which requires quick and accurate propagation of frequently updated treatment-related information. Although commercial radiotherapy platforms such as AriaTM (Varian Medical Systems, Palo Alto, CA, USA) or MosaiqTM (Elekta Oncology Systems, Crawley, UK) already provide most ROIS functionality, their structures or functions cannot be rapidly customized to the needs of individual users, and the number of terminals in these platforms is limited. Therefore, they have limited capability to respond to the detailed requirements of individual departments.

This study aimed to suggest ROIS with an RDB structure that is effective for small radiation oncology departments using the cost-effective popular database software AccessTM (Microsoft, Redmond, WA, USA). Since the feasibility of ROIS developed using this general-purpose software has already been shown by Lim et al. [7], in this study, we focus on an RDB structure that is more sophisticated and optimized for radiotherapeutic workflow. The treatment parameters directly related to treatment-beam delivery, such as the monitor unit, gantry angle, and source-to-surface distance, are excluded from our ROIS because they are effectively displayed by existing treatment machine-operating platforms.

The workflow of our department from the reception of patients to follow-up is presented as an example in Fig. 1. The workflow was carefully analyzed for the design of our own ROIS structure.

Figure 1.Overall workflow for radiation treatments. CT, computed tomography.

Using AccessTM, we created eight relational tables containing their own data and designed three types of forms for displaying the queried data. Detailed explanations are provided in the rest of this section. We established three design requirements to build ROIS that were optimized for our departmental workflow as follows.

1. Core table

Because all clinical procedures for radiation treatments should be implemented according to prescriptions, the prescription table was chosen as the core table. Moreover, a single course could be easily matched to a single prescription. Therefore, we added key information such as clinical status/findings and numerical prescriptions of treatment doses to the prescription table, as shown in Table 1. Five related tables were connected to the prescription table, and the rest were isolated. Fig. 2 presents a diagram describing the overall connections between the related tables.

Table 1 Detailed contents contained in each table

TableContent
Patient1. Personal information (sex, age)2. Status (active, completed, suspended, canceled, etc.)3. Face photo link
Prescription1. Course number2. Referred information (clinic, physician, letter, etc.)3. Clinical status (stage, pathology, operation, chemotherapy, radiotherapy history, etc.)4. Clinical findings (lab, pathology, radiology, etc.)5. Prescription (physician name, aim, site, total dose/fraction, etc.)6. Setup photo link
Plan1. Binary (yes/no) values to indicate whether to complete the target, plan, and confirm2. Scheduled date and time for computed tomography simulation and treatment3. Assigned treatment room, machine, and technique names4. Dose/fraction per plan
Exam1. Scheduled exam date/time2. Status (initial, weekly, follow-up, etc.)3. Comments
Order1. Recorded date/time2. Content of order3. Binary (yes/no) value to indicate whether to implement
Remark1. Recorded date/time2. Content of remark3. Binary (yes/no) value to indicate whether to take care
Shutdown1. Date to shutdown (weekend, holiday, etc.)
User1. User ID/password/name2. Working group

Figure 2.Overall connections between the relational tables for radiation oncology information systems (ROIS).

2. Change in situation

The existing treatment plan may be changed frequently for various reasons, such as weight loss in a patient, modification of target lesions, and machine shutdown. During such situations, appropriate plan changes should be made as necessary to achieve the expected therapeutic effect. Moreover, these sudden changes should be quickly and accurately conveyed to all staff involved. Therefore, we designed order/remark tables to manage unexpected event information. The order table contains order information going from physicians to the other staff members, and the remark table contains information that should be shared between the staff members. When new order/remark content is fed into the ROIS, they are supposed to be immediately displayed on a related worklist to act as an alert.

3. Scheduling task

Treatment scheduling is an inevitable task in radiotherapy departments because radiation treatment adopts a fractionated strategy that treats patients over several days. This is labor-intensive work for which the schedules of the physicians and other staff involved in the examination, computed tomography (CT) simulation, planning, and treatment rooms must be considered. Therefore, we expect that a high efficiency can be achieved if the coordination and calculation of a patient’s schedule are computerized and automated through the ROIS. In this study, the schedule information for each patient’s examination, CT simulation, and treatment is designed to be entered into the ROIS. The shutdown table contains a list of departmental shutdown dates such as weekends and holidays, such that the patients’ treatment schedule can be automatically calculated in the ROIS.

We designed three types of forms, namely, charts, worklists, and calendars, which display the required data for the ROIS (as shown in Fig. 3). The chart contains personal and clinical information for a single patient and treatment/exam schedules so that the information for each patient can be obtained at once. Additionally, the chart contains online addresses linked to a facial photo for personal identification, as well as CT simulation photos for checking the patient’s posture, which are stored separately. The worklist form provides a list of the patient’s information so that each staff member can easily plan what is to be done in each room. As mentioned in the previous paragraph, the latest orders and remarks are also displayed in the form of a worklist. The calendar form is provided for each room, which is similar to the worklist form. The worklist and calendar forms can help identify the tasks to be performed in each room.

Figure 3.Three kinds of forms for reviewing and editing radiation oncology information systems (ROIS) data.

Fig. 4 shows the two chart forms designed in this study. One main chart contains most of the clinical data for a single patient, as shown in Fig. 4a, and the other chart is used by the reception staff to schedule examinations, as shown in Fig. 4c. The current clinical status and changes to the patient’s treatment plan can be easily identified in short order, and remarks are listed at the bottom of the chart. The chart also provides a viewing window to check the patient’s posture during CT simulation, and the history of radiation treatment can be easily reviewed by clicking the corresponding course number.

Figure 4.(a) The main chart of a single patient, (b) the corresponding setup-photo viewer, and (c) the schedule chart for reception staff.

Fig. 5 shows two worklist forms as examples. The worklist form for planners contains three sub-lists for the start of daily treatment, issued orders/remarks, and the current status of planning, as shown in Fig. 5a. The issued list can help planners to respond quickly to the reported situation, and the planners can easily track or conduct the radiation treatment plans of different patients based on the other two lists. The worklist form shown in Fig. 5b provides a daily treatment list for each treatment room, such that therapists can identify their own schedules. We designed five different worklist forms for physicians, planners, reception staff, CT simulation staff, and therapists. Fig. 6 shows two calendar-style forms designed for displaying examination and CT simulation schedules. Since examination or treatment schedules may change frequently, a calendar form effective in managing the schedule information is necessary, especially for the reception staff. We noted that the worklist and calendar forms could offer complementary supports for identifying the task in each room.

Figure 5.Two worklist forms for (a) radiation treatment planning rooms and (b) treatment rooms as examples.

Figure 6.Calendar-style forms for managing schedules of (a) exams and (b) computed tomography (CT) simulations.

In addition to the main functions described above, we introduce a login procedure to manage user-specific authority for clinical data security and develop detailed search and statistics functions through various data-filtering processes.

The possibility of communication errors among staff that may lead to clinical accidents has significantly decreased since the introduction of highly computerized ROIS databases. However, there is a possibility of communication errors in non-routine workflow based on sudden changes in the situation; in such cases, a fast and reliable channel for delivering information to related staff is essential. In this study, we developed ROIS that can exactly meet these requirements. All related staff can easily access additional short orders by physicians or sudden changes in the patient’s condition.

The biggest advantage of our ROIS is that it can be fully customized according to the requirements of individual departments, because the difficulty and cost of database development and maintenance using AccessTM are significantly lower than those of the existing database platforms. Therefore, users can achieve high work efficiency with a highly customized ROIS. For instance, the workload and probability of human errors can be minimized by automatic treatment scheduling (rather than manual writing).

The ROIS presented in this study have some limitations. First, AccessTM has limited data storage (approximately 2 GB) and a small number of connected users. Thus, our ROIS are difficult to use for radiation oncology departments beyond a certain size. Second, we believe that our system cannot be inherently connected or integrated with existing commercial operating systems for radiation treatment. Instead, it can be used in parallel with systems to maximize work efficiency.

We expect our ROIS design to inspire those who need to develop and manage an individual ROIS suitable for their radiation oncology departments at low cost.

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (2020R1C1C1013300).


Conceptualization: Yongkan Ki, Wontaek Kim. Data curation: Hosang Jeon, Dong Woon Kim. Formal analysis: Hosang Jeon. Funding acquisition: Hosang Jeon. Investigation: Ji Hyeon Joo, Dong Hyeon Kim. Methodology: Dahl Park. Project administration: Dong Woon Kim. Resources: Yongkan Ki, Jiho Nam. Software: Hosang Jeon, Dong Woon Kim. Supervision: Yongkan Ki, Wontaek Kim. Validation: Hosang Jeon. Visualization: Hosang Jeon. Writing–original draft: Hosang Jeon. Writing–review & editing: Yongkan Ki.

  1. Rosenbloom ME, Killick LJ, Bentley RE. Verification and recording of radiotherapy treatments using a small computer. Br J Radiol. 1977;50:637-644.
    Pubmed CrossRef
  2. Fredrickson DH, Karzmark CJ, Rust DC, Tuschman M. Experience with computer monitoring, verification and record keeping in radiotherapy procedures using a Clinac-4. Int J Radiat Oncol Biol Phys. 1979;5:415-418.
    Pubmed CrossRef
  3. Morrey D, Smith CW, Belcher RA, Harding T, Sutherland WH. A microcomputer system for prescription, calculation, verification and recording of radiotherapy treatments. Br J Radiol. 1982;55:283-288.
    Pubmed CrossRef
  4. Fong de Los Santos LE, Herman MG. Radiation oncology information systems and clinical practice compatibility: workflow evaluation and comprehensive assessment. Pract Radiat Oncol. 2012;2:e155-e164.
    Pubmed CrossRef
  5. Han Y, Huh SJ, Ju SG, Ahn YC, Lim DH, Lee JE, et al. Impact of an electronic chart on the staff workload in a radiation oncology department. Jpn J Clin Oncol. 2005;35:470-474.
    Pubmed CrossRef
  6. Codd EF. A relational model of data for large shared data banks. Commun ACM. 1970;13:377-387.
    Pubmed
  7. Lim S, Kim K, Ahn S, Lee SH, Lee R, Cho S. Database for patient information management in radiation oncology department. Prog Med Phys. 2018;29:23-28.
    CrossRef

Article

Original Article

Progress in Medical Physics 2020; 31(4): 172-178

Published online December 31, 2020 https://doi.org/10.14316/pmp.2020.31.4.172

Copyright © Korean Society of Medical Physics.

Structure of an Oncology Information System Based on a Cost-Effective Relational Database for Small Departments of Radiation Oncology

Hosang Jeon1 , Dong Woon Kim1 , Ji Hyeon Joo1 , Yongkan Ki2 , Wontaek Kim2 , Dahl Park3 , Jiho Nam3 , Dong Hyeon Kim3

1Department of Radiation Oncology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, 2Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, 3Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea

Correspondence to:Yongkan Ki
(apex7171@hanmail.net)
Tel: 82-55-360-3450
Fax: 82-55-360-3449

Received: October 19, 2020; Revised: November 13, 2020; Accepted: November 23, 2020

Abstract

Purpose: Radiation oncology information systems (ROIS) have evolved toward connecting and integrating information between radiation treatment procedures. ROIS can play an important role in utilizing modern radiotherapy techniques that have high complexity and require a large amount of information.
Methods: Using AccessTM software, we have developed a relational database that is highly optimized for a radiotherapeutic workflow.
Results: The prescription table was chosen as the core table to which the other tables were connected, and three types of forms-charts, worklists, and calendars- were suggested. A fast and reliable channel for delivering orders and remarks according to changes in the situation was also designed.
Conclusions: We expect our ROIS design to inspire those who need to develop and manage an individual ROIS suitable for their radiation oncology departments at a low cost.

Keywords: Radiation oncology information system, Relational database, Microsoft access

Introduction

Since the awareness of the need for electronic recording and verification of radiotherapy treatments arose over 40 years ago [1
-3], radiation oncology information systems (ROIS) have evolved toward connecting and integrating information between different radiation treatment procedures [4]. ROIS can play an important role in utilizing modern radiotherapy techniques that have high complexity and involve a large amount of information because it is essential to share such information quickly and efficiently among medical staff. Han et al. [5] reported that the overall workload associated with radiation treatment procedures such as nursing, simulation, and treatment was reduced by 28.2% through the introduction of an electronic chart system.

One of the most widely used digital database formats is the relational database (RDB) proposed by Codd [6] in 1970. Since the RDB can effectively and intuitively manage a large amount of complex data using related tables and support data consistency and concurrency, this method is suitable for ROIS, which requires quick and accurate propagation of frequently updated treatment-related information. Although commercial radiotherapy platforms such as AriaTM (Varian Medical Systems, Palo Alto, CA, USA) or MosaiqTM (Elekta Oncology Systems, Crawley, UK) already provide most ROIS functionality, their structures or functions cannot be rapidly customized to the needs of individual users, and the number of terminals in these platforms is limited. Therefore, they have limited capability to respond to the detailed requirements of individual departments.

This study aimed to suggest ROIS with an RDB structure that is effective for small radiation oncology departments using the cost-effective popular database software AccessTM (Microsoft, Redmond, WA, USA). Since the feasibility of ROIS developed using this general-purpose software has already been shown by Lim et al. [7], in this study, we focus on an RDB structure that is more sophisticated and optimized for radiotherapeutic workflow. The treatment parameters directly related to treatment-beam delivery, such as the monitor unit, gantry angle, and source-to-surface distance, are excluded from our ROIS because they are effectively displayed by existing treatment machine-operating platforms.

Materials and Methods

The workflow of our department from the reception of patients to follow-up is presented as an example in Fig. 1. The workflow was carefully analyzed for the design of our own ROIS structure.

Figure 1. Overall workflow for radiation treatments. CT, computed tomography.

Using AccessTM, we created eight relational tables containing their own data and designed three types of forms for displaying the queried data. Detailed explanations are provided in the rest of this section. We established three design requirements to build ROIS that were optimized for our departmental workflow as follows.

1. Core table

Because all clinical procedures for radiation treatments should be implemented according to prescriptions, the prescription table was chosen as the core table. Moreover, a single course could be easily matched to a single prescription. Therefore, we added key information such as clinical status/findings and numerical prescriptions of treatment doses to the prescription table, as shown in Table 1. Five related tables were connected to the prescription table, and the rest were isolated. Fig. 2 presents a diagram describing the overall connections between the related tables.

Table 1 . Detailed contents contained in each table.

TableContent
Patient1. Personal information (sex, age)2. Status (active, completed, suspended, canceled, etc.)3. Face photo link
Prescription1. Course number2. Referred information (clinic, physician, letter, etc.)3. Clinical status (stage, pathology, operation, chemotherapy, radiotherapy history, etc.)4. Clinical findings (lab, pathology, radiology, etc.)5. Prescription (physician name, aim, site, total dose/fraction, etc.)6. Setup photo link
Plan1. Binary (yes/no) values to indicate whether to complete the target, plan, and confirm2. Scheduled date and time for computed tomography simulation and treatment3. Assigned treatment room, machine, and technique names4. Dose/fraction per plan
Exam1. Scheduled exam date/time2. Status (initial, weekly, follow-up, etc.)3. Comments
Order1. Recorded date/time2. Content of order3. Binary (yes/no) value to indicate whether to implement
Remark1. Recorded date/time2. Content of remark3. Binary (yes/no) value to indicate whether to take care
Shutdown1. Date to shutdown (weekend, holiday, etc.)
User1. User ID/password/name2. Working group


Figure 2. Overall connections between the relational tables for radiation oncology information systems (ROIS).

2. Change in situation

The existing treatment plan may be changed frequently for various reasons, such as weight loss in a patient, modification of target lesions, and machine shutdown. During such situations, appropriate plan changes should be made as necessary to achieve the expected therapeutic effect. Moreover, these sudden changes should be quickly and accurately conveyed to all staff involved. Therefore, we designed order/remark tables to manage unexpected event information. The order table contains order information going from physicians to the other staff members, and the remark table contains information that should be shared between the staff members. When new order/remark content is fed into the ROIS, they are supposed to be immediately displayed on a related worklist to act as an alert.

3. Scheduling task

Treatment scheduling is an inevitable task in radiotherapy departments because radiation treatment adopts a fractionated strategy that treats patients over several days. This is labor-intensive work for which the schedules of the physicians and other staff involved in the examination, computed tomography (CT) simulation, planning, and treatment rooms must be considered. Therefore, we expect that a high efficiency can be achieved if the coordination and calculation of a patient’s schedule are computerized and automated through the ROIS. In this study, the schedule information for each patient’s examination, CT simulation, and treatment is designed to be entered into the ROIS. The shutdown table contains a list of departmental shutdown dates such as weekends and holidays, such that the patients’ treatment schedule can be automatically calculated in the ROIS.

We designed three types of forms, namely, charts, worklists, and calendars, which display the required data for the ROIS (as shown in Fig. 3). The chart contains personal and clinical information for a single patient and treatment/exam schedules so that the information for each patient can be obtained at once. Additionally, the chart contains online addresses linked to a facial photo for personal identification, as well as CT simulation photos for checking the patient’s posture, which are stored separately. The worklist form provides a list of the patient’s information so that each staff member can easily plan what is to be done in each room. As mentioned in the previous paragraph, the latest orders and remarks are also displayed in the form of a worklist. The calendar form is provided for each room, which is similar to the worklist form. The worklist and calendar forms can help identify the tasks to be performed in each room.

Figure 3. Three kinds of forms for reviewing and editing radiation oncology information systems (ROIS) data.

Results

Fig. 4 shows the two chart forms designed in this study. One main chart contains most of the clinical data for a single patient, as shown in Fig. 4a, and the other chart is used by the reception staff to schedule examinations, as shown in Fig. 4c. The current clinical status and changes to the patient’s treatment plan can be easily identified in short order, and remarks are listed at the bottom of the chart. The chart also provides a viewing window to check the patient’s posture during CT simulation, and the history of radiation treatment can be easily reviewed by clicking the corresponding course number.

Figure 4. (a) The main chart of a single patient, (b) the corresponding setup-photo viewer, and (c) the schedule chart for reception staff.

Fig. 5 shows two worklist forms as examples. The worklist form for planners contains three sub-lists for the start of daily treatment, issued orders/remarks, and the current status of planning, as shown in Fig. 5a. The issued list can help planners to respond quickly to the reported situation, and the planners can easily track or conduct the radiation treatment plans of different patients based on the other two lists. The worklist form shown in Fig. 5b provides a daily treatment list for each treatment room, such that therapists can identify their own schedules. We designed five different worklist forms for physicians, planners, reception staff, CT simulation staff, and therapists. Fig. 6 shows two calendar-style forms designed for displaying examination and CT simulation schedules. Since examination or treatment schedules may change frequently, a calendar form effective in managing the schedule information is necessary, especially for the reception staff. We noted that the worklist and calendar forms could offer complementary supports for identifying the task in each room.

Figure 5. Two worklist forms for (a) radiation treatment planning rooms and (b) treatment rooms as examples.

Figure 6. Calendar-style forms for managing schedules of (a) exams and (b) computed tomography (CT) simulations.

In addition to the main functions described above, we introduce a login procedure to manage user-specific authority for clinical data security and develop detailed search and statistics functions through various data-filtering processes.

Discussion

The possibility of communication errors among staff that may lead to clinical accidents has significantly decreased since the introduction of highly computerized ROIS databases. However, there is a possibility of communication errors in non-routine workflow based on sudden changes in the situation; in such cases, a fast and reliable channel for delivering information to related staff is essential. In this study, we developed ROIS that can exactly meet these requirements. All related staff can easily access additional short orders by physicians or sudden changes in the patient’s condition.

The biggest advantage of our ROIS is that it can be fully customized according to the requirements of individual departments, because the difficulty and cost of database development and maintenance using AccessTM are significantly lower than those of the existing database platforms. Therefore, users can achieve high work efficiency with a highly customized ROIS. For instance, the workload and probability of human errors can be minimized by automatic treatment scheduling (rather than manual writing).

The ROIS presented in this study have some limitations. First, AccessTM has limited data storage (approximately 2 GB) and a small number of connected users. Thus, our ROIS are difficult to use for radiation oncology departments beyond a certain size. Second, we believe that our system cannot be inherently connected or integrated with existing commercial operating systems for radiation treatment. Instead, it can be used in parallel with systems to maximize work efficiency.

Conclusions

We expect our ROIS design to inspire those who need to develop and manage an individual ROIS suitable for their radiation oncology departments at low cost.

Acknowledgements

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (2020R1C1C1013300).

Conflicts of Interest


The author has nothing to disclose.

Availability of Data and Materials


All relevant data are within the paper and its Supporting Information files.

Author Contributions


Conceptualization: Yongkan Ki, Wontaek Kim. Data curation: Hosang Jeon, Dong Woon Kim. Formal analysis: Hosang Jeon. Funding acquisition: Hosang Jeon. Investigation: Ji Hyeon Joo, Dong Hyeon Kim. Methodology: Dahl Park. Project administration: Dong Woon Kim. Resources: Yongkan Ki, Jiho Nam. Software: Hosang Jeon, Dong Woon Kim. Supervision: Yongkan Ki, Wontaek Kim. Validation: Hosang Jeon. Visualization: Hosang Jeon. Writing–original draft: Hosang Jeon. Writing–review & editing: Yongkan Ki.

Fig 1.

Figure 1.Overall workflow for radiation treatments. CT, computed tomography.
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Fig 2.

Figure 2.Overall connections between the relational tables for radiation oncology information systems (ROIS).
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Fig 3.

Figure 3.Three kinds of forms for reviewing and editing radiation oncology information systems (ROIS) data.
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Fig 4.

Figure 4.(a) The main chart of a single patient, (b) the corresponding setup-photo viewer, and (c) the schedule chart for reception staff.
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Fig 5.

Figure 5.Two worklist forms for (a) radiation treatment planning rooms and (b) treatment rooms as examples.
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Fig 6.

Figure 6.Calendar-style forms for managing schedules of (a) exams and (b) computed tomography (CT) simulations.
Progress in Medical Physics 2020; 31: 172-178https://doi.org/10.14316/pmp.2020.31.4.172

Table 1 Detailed contents contained in each table

TableContent
Patient1. Personal information (sex, age)2. Status (active, completed, suspended, canceled, etc.)3. Face photo link
Prescription1. Course number2. Referred information (clinic, physician, letter, etc.)3. Clinical status (stage, pathology, operation, chemotherapy, radiotherapy history, etc.)4. Clinical findings (lab, pathology, radiology, etc.)5. Prescription (physician name, aim, site, total dose/fraction, etc.)6. Setup photo link
Plan1. Binary (yes/no) values to indicate whether to complete the target, plan, and confirm2. Scheduled date and time for computed tomography simulation and treatment3. Assigned treatment room, machine, and technique names4. Dose/fraction per plan
Exam1. Scheduled exam date/time2. Status (initial, weekly, follow-up, etc.)3. Comments
Order1. Recorded date/time2. Content of order3. Binary (yes/no) value to indicate whether to implement
Remark1. Recorded date/time2. Content of remark3. Binary (yes/no) value to indicate whether to take care
Shutdown1. Date to shutdown (weekend, holiday, etc.)
User1. User ID/password/name2. Working group

References

  1. Rosenbloom ME, Killick LJ, Bentley RE. Verification and recording of radiotherapy treatments using a small computer. Br J Radiol. 1977;50:637-644.
    Pubmed CrossRef
  2. Fredrickson DH, Karzmark CJ, Rust DC, Tuschman M. Experience with computer monitoring, verification and record keeping in radiotherapy procedures using a Clinac-4. Int J Radiat Oncol Biol Phys. 1979;5:415-418.
    Pubmed CrossRef
  3. Morrey D, Smith CW, Belcher RA, Harding T, Sutherland WH. A microcomputer system for prescription, calculation, verification and recording of radiotherapy treatments. Br J Radiol. 1982;55:283-288.
    Pubmed CrossRef
  4. Fong de Los Santos LE, Herman MG. Radiation oncology information systems and clinical practice compatibility: workflow evaluation and comprehensive assessment. Pract Radiat Oncol. 2012;2:e155-e164.
    Pubmed CrossRef
  5. Han Y, Huh SJ, Ju SG, Ahn YC, Lim DH, Lee JE, et al. Impact of an electronic chart on the staff workload in a radiation oncology department. Jpn J Clin Oncol. 2005;35:470-474.
    Pubmed CrossRef
  6. Codd EF. A relational model of data for large shared data banks. Commun ACM. 1970;13:377-387.
    Pubmed
  7. Lim S, Kim K, Ahn S, Lee SH, Lee R, Cho S. Database for patient information management in radiation oncology department. Prog Med Phys. 2018;29:23-28.
    CrossRef
Korean Society of Medical Physics

Vol.35 No.2
June 2024

pISSN 2508-4445
eISSN 2508-4453
Formerly ISSN 1226-5829

Frequency: Quarterly

Current Issue   |   Archives

Stats or Metrics

Share this article on :

  • line