デジタル・ヘルス・アプリケーションを評価する枠組みのスコーピング・レビュー
PubMedで要約を見る
まとめ
この要約は機械生成です。このスコーピングレビューでは,データセキュリティ,プライバシー,検証基準に焦点を当てた,Scale-Up4Rehab (SU4R) 仮想リハビリテーションクリニックのガイドラインを作成するための18のデジタル健康評価フレームワークを特定しました.
科学分野
- デジタル・ヘルス
- 医療技術の評価
- 仮想現実のアプリケーション
背景
- 医療におけるデジタル・ヘルスとバーチャル・リアリティ (VR) の導入は,技術の進歩にもかかわらず,遅い進歩に直面しています.
- スケールアップ4リハブ (SU4R) プロジェクトは,高品質のデジタル医療介入のための仮想リハビリテーションクリニックを設立することを目的としています.
- デジタル・ヘルス・アプリケーションの選択を導くための強力な評価枠組みが必要である.
研究 の 目的
- 既存の高品質のデジタル健康評価の枠組みを特定する.
- これらの枠組みから 申請の評価基準を抽出する.
- SU4R仮想リハビリテーションクリニックのガイドラインの作成に役立つ.
主な方法
- アークシーとオマレーのフレームワークとPRISMAのガイドラインに従って スコーピングレビュー.
- デジタルヘルス,評価フレームワーク,デジタルヘルスアプリケーションをキーワードで検索した7つのデータベース (2007年1月〜2023年12月)
- 4人のレビュー者がカスタマイズされたツールを用いてデータ抽出.
主要な成果
- 11カ国から18の評価枠組みが含まれて,775の基準が得られました.
- 論文から9つのフレームワークと 灰色の文献から9つのフレームワークを特定しました
- 基準は19のグループに分けられ",データセキュリティとプライバシー"と"検証"が最も顕著でした.
結論
- 抽出した基準は,SU4Rプラットフォームのための新しい包括的な評価枠組みをベースにします.
- この枠組みは,SU4R仮想リハビリテーションクリニックの承認プロセスに不可欠です.
- デジタルヘルスとVRアプリケーションの厳格な選択を容易にします.
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