A novel application of the Osterwalder model: Towards a sustainable ecosystem for Point of Care Technologies

Ulman, Shrutin; Ray, Santanu; Raikar, Amisha S.

doi:10.1109/pht.2013.6461296

Cited by 4 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The development of a referral system model that can determine referral hospitals based on patients' condition is complicated [5,26]. Determining the appropriate referral hospitals is influenced by many factors, such as patients' geographical location, the criticality of the medical situation, transportation, distance, and physical condition of the patients [29], as well as socio-economic of the patients [33].…”

Section: Related Work 21 Referral System Modelmentioning

confidence: 99%

E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making

Triyono

Hartati

Pulungan

et al. 2018

IJEECS

View full text Add to dashboard Cite

Currently, the quality of health services in Indonesia is getting better. However, the referral system still has some problems. The first is the difficulty in determining the referral hospital by the condition of the patient. The second is the different parameters used to determine the referral hospitals between countries. Based on those problems, it is necessary to improve the ability of the current referral system. This study developed a reference system model for assessing the suitability of the patient's background with the referral hospital. Some of the methods used are restful on web service technologies for information exchange between primary health care doctors and referral hospitals, Fuzzy Multiple-Criteria Decision Making (FMCDM) to determine the ranking of referral hospitals that fit the patient's background. The result of this study is an intelligent system model to get the referral hospital that fit the patient's background.

show abstract

Section: Related Work 21 Referral System Modelmentioning

confidence: 99%

E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making

Triyono

Hartati

Pulungan

et al. 2018

IJEECS

View full text Add to dashboard Cite

show abstract

“…(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54) The frameworks were applied in the context of health care systems, (42)(43)(44)(45)(46)50,54) academic medical centers,(51) dental care, (49) gene therapy, (53) epharmacies, (52) and medical device companies. (47,48) The frameworks included Business Model Canvas, (42,43,46) the non-profit Balanced Scorecard,(50) Performance-based Incentive Compensation, (51) and Application Service Provision business model. (54) The elements of the frameworks were many and well balanced (e.g.…”

Section: Analysis Without Comparisonmentioning

confidence: 99%

“…Data came from interviews, (42,43,47,54) surveys, (54) case studies, (54) and administrative systems. (48,53) The outcomes focused on understanding the relationships between the elements (44,45,(47)(48)(49)(50) analyze the effect of a reimbursement protocol, (51) understand the influence of technology, (42,43,46,52,53) or to understand the viability of a potential approach for making services more uniform across a health care system. (54)…”

Section: Analysis Without Comparisonmentioning

confidence: 99%

Business model framework applications in health care: A systematic review

Fredriksson

Mazzocato

Rafiq

et al. 2017

Health Serv Manage Res

View full text Add to dashboard Cite

It has proven to be a challenge for health care organizations to achieve the Triple Aim. In the business literature, business model frameworks have been used to understand how organizations are aligned to achieve their goals. We conducted a systematic literature review with an explanatory synthesis approach to understand how business model frameworks have been applied in health care. We found a large increase in applications of business model frameworks during the last decade. E-health was the most common context of application. We identified six applications of business model frameworks: business model description, financial assessment, classification based on pre-defined typologies, business model analysis, development, and evaluation. Our synthesis suggests that the choice of business model framework and constituent elements should be informed by the intent and context of application. We see a need for harmonization in the choice of elements in order to increase generalizability, simplify application, and help organizations realize the Triple Aim.

show abstract