scholarly journals A Contemporary Case Study Illustrating the Integration of Health Information Technologies into the Organisation and Clinical Practice of Radiation Oncology

2005 ◽  
Vol 34 (4) ◽  
pp. 136-145 ◽  
Author(s):  
Andrew A Miller ◽  
Aaron K Phillips

The development of software in radiation oncology departments has seen the increase in capability from the Record and Verify software focused on patient safety to a fully-fledged Oncology Information System (OIS). This paper reports on the medical aspects of the implementation of a modern Oncology Information System (IMPAC MultiAccess®, also known as the Siemens LANTIS®) in a New Zealand hospital oncology department. The department was successful in translating paper procedures into electronic procedures, and the report focuses on the changes in approach to organisation and data use that occurred. The difficulties that were faced, which included procedural re-design, management of change, removal of paper, implementation cost, integration with the HIS, quality assurance and datasets, are highlighted along with the local solutions developed to overcome these problems.

10.2196/17132 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e17132
Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli

Background An established and well-known method for usability assessment of various human-computer interaction technologies is called heuristic evaluation (HE). HE has been adopted for evaluations in a wide variety of specialized contexts and with objectives that go beyond usability. A set of heuristics to evaluate how health information technologies (HITs) incorporate features that enable effective patient use of person-generated health data (PGHD) is needed in an era where there is a growing demand and variety of PGHD-enabled technologies in health care and where a number of remote patient-monitoring technologies do not yet enable patient use of PGHD. Such a set of heuristics would improve the likelihood of positive effects from patients’ use of PGHD and lower the risk of negative effects. Objective This study aims to describe the development of a set of heuristics for the design and evaluation of how well remote patient therapeutic technologies enable patients to use PGHD (PGHD enablement). We used the case of Kinect-based stroke rehabilitation systems (K-SRS) in this study. Methods The development of a set of heuristics to enable better use of PGHD was primarily guided by the R3C methodology. Closer inspection of the methodology reveals that neither its development nor its application to a case study were described in detail. Thus, where relevant, each step was grounded through best practice activities in the literature and by using Nielsen’s heuristics as a basis for determining the new set of heuristics. As such, this study builds on the R3C methodology, and the implementation of a mixed process is intended to result in a robust and credible set of heuristics. Results A total of 8 new heuristics for PGHD enablement in K-SRS were created. A systematic and detailed process was applied in each step of heuristic development, which bridged the gaps described earlier. It is hoped that this would aid future developers of specialized heuristics, who could apply the detailed process of heuristic development for other domains of technology, and additionally for the case of PGHD enablement for other health conditions. The R3C methodology was also augmented through the use of qualitative studies with target users and domain experts, and it is intended to result in a robust and credible set of heuristics, before validation and refinement. Conclusions This study is the first to develop a new set of specialized heuristics to evaluate how HITs incorporate features that enable effective patient use of PGHD, with K-SRS as a key case study. In addition, it is the first to describe how the identification of initial HIT features and concepts to enable PGHD could lead to the development of a specialized set of heuristics.


2019 ◽  
Author(s):  
Jun Liang ◽  
Ying Li ◽  
Zhongan Zhang ◽  
Dongxia Shen ◽  
Jie Xu ◽  
...  

BACKGROUND To achieve universal access to medical resources, China introduced its second health care reform in 2010, with health information technologies (HIT) as an important technical support point. OBJECTIVE This study is the first attempt to explore the unique contributions and characteristics of HIT development in Chinese hospitals from the three major aspects of hospital HIT—human resources, funding, and materials—in an all-around, multi-angled, and time-longitudinal manner, so as to serve as a reference for decision makers in China and the rest of the world when formulating HIT development strategies. METHODS A longitudinal research method is used to analyze the results of the CHIMA Annual Survey of Hospital Information System in China carried out by a Chinese national industrial association, CHIMA, from 2007 to 2018. The development characteristics of human resources, funding, and materials of HIT in China for the past 12 years are summarized. The Bass model is used to fit and predict the popularization trend of EMR in Chinese hospitals from 2007 to 2020. RESULTS From 2007 to 2018, the CHIMA Annual Survey interviewed 10,954 hospital CIOs across 32 administrative regions in Mainland China. Compared with 2007, as of 2018, in terms of human resources, the average full time equivalent (FTE) count in each hospital’s IT center is still lower than the average level of US counterparts in 2014 (9.66 FTEs vs. 34 FTEs). The proportion of CIOs with a master’s degree or above was 25.61%, showing an increase of 18.51%, among which those with computer-related backgrounds accounted for 64.75%, however, those with a medical informatics background only accounted for 3.67%. In terms of funding, the sampled hospitals’ annual HIT investment increased from ¥957,700 (US $136,874) to ¥6.376 million (US $911,261), and the average investment per bed increased from ¥4,600 (US $658) to ¥8,100 (US $1158). In terms of information system construction, as of 2018, the average EMR implementation rate of the sampled hospitals exceeded the average level of their US counterparts in 2015 and their German counterparts in 2017 (85.26% vs. 83.8% vs. 68.4%, respectively). The results of the Bass prediction model show that Chinese hospitals will likely reach an adoption rate of 91.4% by 2020 (<i>R</i><sup>2</sup>=0.95). CONCLUSIONS In more than 10 years, based on this top-down approach, China’s medical care industry has accepted government instructions and implemented the unified model planned by administrative intervention. With only about one-fifth of the required funding, and about one-fourth of the required human resources per hospital as compared to the US HITECH project, China’s EMR coverage in 2018 exceeded the average level of its US counterparts in 2015 and German counterparts in 2017. This experience deserves further study and analysis by other countries.


10.2196/17006 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e17006 ◽  
Author(s):  
Jun Liang ◽  
Ying Li ◽  
Zhongan Zhang ◽  
Dongxia Shen ◽  
Jie Xu ◽  
...  

Background To achieve universal access to medical resources, China introduced its second health care reform in 2010, with health information technologies (HIT) as an important technical support point. Objective This study is the first attempt to explore the unique contributions and characteristics of HIT development in Chinese hospitals from the three major aspects of hospital HIT—human resources, funding, and materials—in an all-around, multi-angled, and time-longitudinal manner, so as to serve as a reference for decision makers in China and the rest of the world when formulating HIT development strategies. Methods A longitudinal research method is used to analyze the results of the CHIMA Annual Survey of Hospital Information System in China carried out by a Chinese national industrial association, CHIMA, from 2007 to 2018. The development characteristics of human resources, funding, and materials of HIT in China for the past 12 years are summarized. The Bass model is used to fit and predict the popularization trend of EMR in Chinese hospitals from 2007 to 2020. Results From 2007 to 2018, the CHIMA Annual Survey interviewed 10,954 hospital CIOs across 32 administrative regions in Mainland China. Compared with 2007, as of 2018, in terms of human resources, the average full time equivalent (FTE) count in each hospital’s IT center is still lower than the average level of US counterparts in 2014 (9.66 FTEs vs. 34 FTEs). The proportion of CIOs with a master’s degree or above was 25.61%, showing an increase of 18.51%, among which those with computer-related backgrounds accounted for 64.75%, however, those with a medical informatics background only accounted for 3.67%. In terms of funding, the sampled hospitals’ annual HIT investment increased from ¥957,700 (US $136,874) to ¥6.376 million (US $911,261), and the average investment per bed increased from ¥4,600 (US $658) to ¥8,100 (US $1158). In terms of information system construction, as of 2018, the average EMR implementation rate of the sampled hospitals exceeded the average level of their US counterparts in 2015 and their German counterparts in 2017 (85.26% vs. 83.8% vs. 68.4%, respectively). The results of the Bass prediction model show that Chinese hospitals will likely reach an adoption rate of 91.4% by 2020 (R2=0.95). Conclusions In more than 10 years, based on this top-down approach, China’s medical care industry has accepted government instructions and implemented the unified model planned by administrative intervention. With only about one-fifth of the required funding, and about one-fourth of the required human resources per hospital as compared to the US HITECH project, China’s EMR coverage in 2018 exceeded the average level of its US counterparts in 2015 and German counterparts in 2017. This experience deserves further study and analysis by other countries.


2015 ◽  
Vol 42 (6Part34) ◽  
pp. 3627-3627
Author(s):  
B Zhang ◽  
B Yi ◽  
J Eley ◽  
Y Mutaf ◽  
S Rahman ◽  
...  

Current demands of the healthcare industry require the use of information systems (IS) and information technologies (IT) to deliver care that is safe, patient centered, timely, efficient, and equitable. Successful development, implementation, and use of IT applications requires proper consideration of the hierarchy as well as synergy of each industry. In this work, a reliable secure and administrative cloud platform OncologyQuest has been developed to enhance the clinical service in radiation oncology. A case study used was automation of information data entry, reviewing, auditing and clinical approval cycles in radiation oncology intraoperative procedure of Prostate radioactive permanent seeds implant. Secure login and proper authorization using administration function for authenticating end users and granting them access to authorized services on the platform. Automation of data entry, reviewing, auditing and clinical approval cycles in radiation oncology intraoperative procedure has been achieved. That automation provides proper clinical approvals control to clinical multidisciplinary practitioners. OncologyQuest eased the dissemination of information during the procedure, enhanced information integration between oncology practitioners. Reliability and effectiveness of chartless documentation, successfully allowed appropriate communication regardless of geographic vicinity before, during and after the procedure.


1985 ◽  
Vol 9 (1-3) ◽  
pp. 169-176
Author(s):  
Charles A. Snyder ◽  
James F. Cox ◽  
George Griesinger

2019 ◽  
Author(s):  
Gerardo Luis Dimaguila ◽  
Kathleen Gray ◽  
Mark Merolli

BACKGROUND An established and well-known method for usability assessment of various human-computer interaction technologies is called heuristic evaluation (HE). HE has been adopted for evaluations in a wide variety of specialized contexts and with objectives that go beyond usability. A set of heuristics to evaluate how health information technologies (HITs) incorporate features that enable effective patient use of person-generated health data (PGHD) is needed in an era where there is a growing demand and variety of PGHD-enabled technologies in health care and where a number of remote patient-monitoring technologies do not yet enable patient use of PGHD. Such a set of heuristics would improve the likelihood of positive effects from patients’ use of PGHD and lower the risk of negative effects. OBJECTIVE This study aims to describe the development of a set of heuristics for the design and evaluation of how well remote patient therapeutic technologies enable patients to use PGHD (PGHD enablement). We used the case of Kinect-based stroke rehabilitation systems (K-SRS) in this study. METHODS The development of a set of heuristics to enable better use of PGHD was primarily guided by the R3C methodology. Closer inspection of the methodology reveals that neither its development nor its application to a case study were described in detail. Thus, where relevant, each step was grounded through best practice activities in the literature and by using Nielsen’s heuristics as a basis for determining the new set of heuristics. As such, this study builds on the R3C methodology, and the implementation of a mixed process is intended to result in a robust and credible set of heuristics. RESULTS A total of 8 new heuristics for PGHD enablement in K-SRS were created. A systematic and detailed process was applied in each step of heuristic development, which bridged the gaps described earlier. It is hoped that this would aid future developers of specialized heuristics, who could apply the detailed process of heuristic development for other domains of technology, and additionally for the case of PGHD enablement for other health conditions. The R3C methodology was also augmented through the use of qualitative studies with target users and domain experts, and it is intended to result in a robust and credible set of heuristics, before validation and refinement. CONCLUSIONS This study is the first to develop a new set of specialized heuristics to evaluate how HITs incorporate features that enable effective patient use of PGHD, with K-SRS as a key case study. In addition, it is the first to describe how the identification of initial HIT features and concepts to enable PGHD could lead to the development of a specialized set of heuristics.


Author(s):  
Elizabeth J. Forrestal ◽  
Leigh W. Cellucci ◽  
Xiaoming Zeng ◽  
Michael H. Kennedy ◽  
Doug Smith

Health-Center-Controlled Networks (HCCNs) are collaborative ventures that provide health information technologies to Community Health Centers (CHCs). Community Partners HealthNet (CPH), Inc. is a HCCN. CPH’s member organizations are non-profit health care organizations that provide primary health care to individuals in medically underserved areas. As non-profits, they must regularly seek grant funding from foundations and state and federal agencies to provide quality, accessible health care. Consequently, initiatives to adopt and implement Health Information Technologies (HIT) require individual CHCs to carefully consider how best to incorporate HIT for improved patient care. This case study describes CPH, discusses the collaboration of six individual CHCs to create CPH, and then explains CPH’s on-going operations.


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