Evidence map›Paper›PMID 31131145›Full record

ArticleHealthcare informatics research2019

Privacy Enhanced Healthcare Information Sharing System for Home-Based Care Environments.

Daniel Agbesi Dzissah, Joong-Sun Lee, Hiroyuki Suzuki, Mie Nakamura, Takashi Obi

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Daniel Agbesi DzissahTokyo Institute of Technology, Yokohama, Japan.ORCID https://orcid.org/0000-0002-4484-3814
Joong-Sun LeeTokyo Institute of Technology, Yokohama, Japan.ORCID https://orcid.org/0000-0002-6976-6472
Hiroyuki SuzukiTokyo Institute of Technology, Yokohama, Japan.ORCID https://orcid.org/0000-0002-5028-5388
Mie NakamuraTokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6706-2247
Takashi ObiTokyo Institute of Technology, Yokohama, Japan.ORCID https://orcid.org/0000-0001-9430-2728
Tokyo Institute of Technology · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHome-based nursing care services have increased over the past decade. However, accountability and privacy issues as well as security concerns become more challenging during care provider visits. Because of the heterogeneous combination of mobile and stationary assistive medical care devices, conventional systems lack architectural consistency, which leads to inherent time delays and inaccuracies in sharing information. The goal of our study is to develop an architecture that meets the competing goals of accountability and privacy and enhances security in distributed home-based care systems.

methodsWe realized this by using a context-aware approach to manage access to remote data. Our architecture uses a public certification service for individuals, the Japanese Public Key Infrastructure and Health Informatics-PKI to identify and validate the attributes of medical personnel. Both PKI mechanisms are provided by using separate smart cards issued by the government.

resultsContext-awareness enables users to have appropriate data access in home-based nursing environments. Our architecture ensures that healthcare providers perform the needed home care services by accessing patient data online and recording transactions.

conclusionsThe proposed method aims to enhance healthcare data access and secure information delivery to preserve user's privacy. We implemented a prototype system and confirmed its feasibility by experimental evaluation. Our research can contribute to reducing patient neglect and wrongful treatment, and thus reduce health insurance costs by ensuring correct insurance claims. Our study can provide a baseline towards building distinctive intelligent treatment options to clinicians and serve as a model for home-based nursing care.

Indexed as

Computer SecurityElectronic Health RecordsHome Health NursingMedical Information ExchangePrivacy

Identifiers

PMID31131145
PMCPMC6517627
OpenAlexW2944993438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.